Transitioning from an individual contributor to a managerial role is one of the most significant shifts a software developer can make. While technical skills remain important, becoming an engineering manager requires a different set of capabilities—leadership, communication, and strategic planning. This transition can be challenging, but with the right preparation and mindset, it’s a highly rewarding step in a developer’s career.

Understanding the Shift in Responsibilities

When you were a developer, your focus was coding, problem-solving, and delivering solutions. As an engineering manager, your primary responsibilities now shift towards guiding teams, developing talent, and ensuring the alignment of engineering goals with company objectives.

In this new role, you’ll need to let go of the hands-on tasks that once defined your daily work. The focus moves to managing the people who execute the technical work and empowering them to succeed.

Your new day-to-day activities include running meetings, setting goals, coordinating projects, and addressing challenges related to team dynamics. According to a study by Gallup, managers being actively involved in team development lead to a 59% reduction in turnover. This emphasizes the critical nature of leadership in retaining top talent.

Building New Skills for Management

As you transition into management, you must cultivate new skills to complement your technical background. These include communication, conflict resolution, time management, and strategic planning. But most importantly, you’ll need to focus on leadership.

Leadership and Communication

Leadership in engineering isn’t just about making decisions—it’s about guiding a team through challenges and setting a clear direction. Communication breakdowns or a lack of communication skills are believed to contribute to 86% of workplace failures. 

Engineering teams rely heavily on collaboration across different functions—developers, product managers, designers, and QA teams must work in sync. A coding team leader with strong communication skills can prevent bottlenecks, align team efforts toward common objectives, and provide timely feedback, which fosters continuous improvement. 

Time Management

Balancing competing priorities is another critical skill. While you may still want to code occasionally, you must allocate time efficiently across managerial duties like performance reviews, one-on-ones, and project oversight. Adopting frameworks like the Eisenhower Matrix can help you distinguish between urgent and important tasks, keeping you focused on what matters most.

Assessing Technical Skills

With the move to engineering management comes another responsibility: building your team. 

In tech organizations, hiring the right talent is critical for project success and innovation. By developing the ability to evaluate technical competencies and soft skills, managers can ensure that candidates not only meet the technical demands of the role but also align with the team’s culture and values. To do this, managers should focus on structured interview processes, use technical assessments such as coding challenges, and involve team members in the evaluation process. Learning to assess candidates holistically enables engineering managers to make informed decisions, leading to better hires and a more cohesive, productive team.

Overcoming Common Challenges

Transitioning into management comes with inevitable challenges. According to research by Harvard Business Review, 60% of new managers fail within their first two years due to inadequate preparation. Consider preparing for these two common challenges and learning how to overcome them.

Letting Go of the Code

One of the most common challenges for developers moving into management is letting go of coding. Many developers struggle with not being directly involved in day-to-day technical tasks. While it’s tempting to dive back into code to solve a problem or fix a bug, it’s important to remember that your focus should now be guiding your team and enabling them to solve these challenges.

Handling Conflict and Team Dynamics

Another common challenge is managing conflict and maintaining team morale. Engineering teams often have diverse personalities and skill sets, which can lead to tension. Managers must constructively mediate conflicts, ensuring issues are resolved without disrupting productivity. Effective conflict resolution helps maintain a positive work environment and contributes to a more cohesive and collaborative team.

Balancing Technical and Managerial Tasks

In your new role, you’ll often feel pulled between technical tasks and managerial responsibilities. Striking the right balance is key to your success as an engineering manager.

Delegation

One of the most powerful tools for a manager is delegation. While you may have been the go-to person for solving technical challenges, it’s now your job to empower your team to solve these issues themselves. Delegating tasks frees up your time for more strategic duties and fosters team growth and ownership.

Staying Technically Proficient

At the same time, staying current with industry trends and technologies is important. Engineering managers must know emerging tools and methodologies to ensure their team works efficiently. Set aside time for technical learning, whether it’s through attending conferences, reading industry blogs, or engaging in periodic coding tasks.

Tips for a Successful Transition

1. Find a Mentor: Seek an experienced engineering manager to guide you through the transition. Having someone to turn to for advice on leadership challenges can be incredibly valuable.
2. Set Clear Expectations: Make sure your team understands your role and responsibilities. Clarify that while you may not be coding as much, you are there to support their technical development and ensure the team’s success.
3. Stay Organized: Use project management tools to manage both your managerial and technical tasks. Staying organized will help you balance your time more effectively and ensure nothing slips through the cracks.
4. Emphasize Team Development: Encourage team members to take on challenges and grow. Providing opportunities for skill development and career growth is one of the best ways to keep your team engaged and productive.

Conclusion: Embracing the New Role

Transitioning from developer to engineering manager is a rewarding yet demanding journey. You can become a successful and effective manager by developing new leadership skills, maintaining technical proficiency, and fostering a positive team environment. Remember, the goal is to lead and empower your team to succeed and grow, setting the team and the company up for long-term success.

The post Engineering Leadership: Transitioning from Developer to Manager appeared first on HackerRank Blog.

Building a high-performing engineering team is more than just assembling a group of talented developers; it requires strategic planning, effective management, and a commitment to continuous skill growth. 

This article provides practical insights and best practices to help managers cultivate and maintain a high-performing engineering team. 

Define a High-Performing Engineering Team

A high-performing engineering team consistently delivers high-quality work, meets deadlines, and continuously innovates. These teams are characterized by strong collaboration, clear communication, and a shared sense of purpose. They are agile, adaptable, and committed to achieving the organization’s goals.

But what sets a high-performing team apart? According to Google’s Project Aristotle, the most successful teams are not just a mix of the brightest minds but are built on psychological safety, dependability, structure, clarity, meaning, and impact. These teams are skilled and cohesive, with members who feel valued and empowered to contribute their best.

Hire the Right Talent

The foundation of a high-performing team begins with hiring the right talent. The goal is to find candidates who have the necessary technical skills and fit well with the team’s culture and values.

To best assess a candidate’s technical abilities, consider using coding tests that reflect real-world challenges they would face on the job. This approach provides a stronger signal of a developer’s skills than algorithm-style or trivia-based questions.

Platforms like HackerRank offer tools for creating customized coding assessments that measure a candidate’s proficiency in specific languages, frameworks, and problem-solving skills.

Beyond coding tests, the interview process should also evaluate soft skills, such as communication, teamwork, and adaptability. Use a structured interview format to ensure consistency and fairness, and consider involving team members in the interview process to gauge cultural fit.

Establish Clear Goals and Expectations

Once you’ve built your team, it’s crucial to establish clear goals and expectations from the outset. High-performing teams thrive when they understand what’s expected of them and how their work contributes to the larger organizational goals.

Setting SMART Goals: Use the SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound) to set clear objectives for your team. This helps in tracking progress and ensures that each team member knows what they’re working towards.

Regular Check-Ins and Feedback: Regular one-on-one meetings and team check-ins are essential for maintaining alignment and addressing issues before they become major roadblocks. These meetings should be a two-way conversation where team members feel comfortable sharing their progress and any challenges they face.

How to Do This:

• Develop SMART goals that align with the overall objectives of the organization.
• Hold regular check-ins to monitor progress and provide constructive feedback.
• Use project management tools like Jira to track goals and milestones.

Investing in Continuous Learning and Development

The tech industry is constantly evolving, and continuous learning and development are essential to keeping your team at the forefront. High-performing teams never stop learning.

Provide Access to Learning Resources: Give your team access to the latest learning resources, such as online courses, webinars, and workshops. Platforms like Coursera and Udemy offer various courses tailored to software engineers and developers.

Encourage Knowledge Sharing: Foster a culture where team members are encouraged to share their knowledge. This could be through regular “lunch and learn” sessions, internal wikis, or informal coding meetups.

How to Do This:

• Allocate budget and time for continuous learning and development programs.
• Encourage team members to take courses on platforms like Coursera or Udemy.
• Promote internal knowledge sharing through regular learning sessions or an internal knowledge base.

Encourage Ownership and Accountability

High-performing teams take ownership of their work and are accountable for their outcomes. This sense of ownership drives quality and fosters a culture of responsibility.

Delegate Responsibility: Empower your team by delegating responsibilities and giving them the autonomy to make decisions. This not only boosts morale but also helps develop team leadership skills.

Foster a Blame-Free Culture: Encourage a culture where mistakes are seen as learning opportunities rather than reasons for blame. This approach helps build trust and encourages team members to take risks and innovate.

How to Do This:

• Delegate tasks and responsibilities to team members based on their strengths.
• Establish a culture where accountability is expected, but blame is avoided.
• Use retrospectives after project completion to discuss what went well and what can be improved without assigning blame.

Measure and Improving Team Performance

Regularly evaluating your team’s performance is essential to ensure your team remains high-performing.

Use Performance Metrics: Set clear performance metrics to track both individual and team progress. Here are some key metrics to pay attention to:

• Deployment Frequency: This measures how often your team is able to deploy new code to production. Tools like CircleCI can help track this metric by providing insights into your CI/CD pipeline.
• Code Review Turnaround Time: Track the average time it takes for code reviews to be completed. You can use platforms like Phabricator or the code review features in GitHub and GitLab to monitor this.
• Cycle Time: Cycle time measures the time taken from starting work on a feature to its delivery in production. Tools like JIRA and Azure DevOps can help you track cycle time and identify bottlenecks in your development process.
• Team Morale: Although harder to quantify, regular surveys using tools like Officevibe or Culture Amp can provide insights into team satisfaction and areas for improvement. 

Continuous Feedback Loop: Implement a continuous feedback loop where performance data is regularly reviewed and feedback is given. This helps identify areas for improvement and ensures that the team is always moving forward.

How to Do This:

• Identify key performance metrics that align with your team’s goals.
• Use tools like GitHub and Jenkins to monitor performance metrics.
• Conduct regular performance reviews and provide actionable feedback.

Conclusion

Building a high-performing engineering team is an ongoing process that requires careful planning, continuous investment in learning, and a strong focus on team dynamics. By following these best practices—hiring the right talent, setting clear goals, fostering a culture of continuous learning, encouraging ownership, and regularly measuring performance—you can build a team that meets and exceeds expectations, driving innovation and success for your organization.

The post Building High-Performing Engineering Teams: Best Practices for Managers appeared first on HackerRank Blog.

Fostering a mentorship culture has become essential for organizations aiming to attract, develop, and retain top talent. Mentorship programs help bridge the skill gap and create a supportive environment where employees thrive. 

Increasingly, companies and tech teams are recognizing the profound impact these initiatives have on individual and organizational success.

In this article we cover why mentorship is a must for tech companies and the best practices to build a successful mentorship program. 

Why Mentorship Matters in Tech

Mentorship has become a cornerstone of professional development for tech teams. According to a 2024 study by MentorcliQ, 98% of U.S. Fortune 500 companies have established mentoring programs, with 100% of the top 50 U.S. Fortune 500 companies adopting these initiatives. This significant shift reflects a broader trend: the increasing recognition of mentorship as a critical tool for fostering technical skills, employee growth, and a strong engineering culture.

Mentorship programs offer numerous benefits, including:

• High ROI on Learning and Development (L&D) Programs: Effective mentorship programs are instrumental in building core competencies, such as technical skills, emotional intelligence, communication, and negotiation. These programs ensure that employees are continuously learning and adapting to new challenges, which is crucial in the fast-paced tech industry.
• Enhanced Internal Relationships: Mentorship fosters stronger relationships within the organization, creating a sense of belonging that can lead to higher employee retention and improved workplace morale. This sense of community is particularly important in tech, where teamwork and collaboration are key to success.
• Confidence and Career Development: Mentees often experience increased confidence, leading to lower levels of anxiety and more streamlined career progression. Mentors, too, benefit from these relationships by honing their leadership skills and gaining fresh perspectives from their mentees.
• Positive Impact on the Bottom Line: Research has shown that companies with mentorship programs tend to outperform those without. According to Forbes, companies with mentoring programs saw profits that were 18% better than average, while those without such programs had profits that were 45% worse than average. 

Types of Mentorship Relationships

Mentorship relationships in the tech industry can take various forms, each catering to different needs and organizational goals. Here are some common types of mentorship relationships to consider:

1. Traditional Mentorship

In this model, a seasoned professional partners with a less experienced colleague to provide resources, offer connections, and help them build competencies. Traditional mentorship often focuses on career progression and leadership development. However, mentors also benefit from reverse mentoring, gaining insights into current trends and innovations from their mentees.

2. Peer-to-Peer Mentorship

This form of mentorship occurs between individuals at similar career stages. It builds connections and fosters a sense of community within the organization or across the industry. Peer-to-peer mentorship is particularly valuable for enhancing team effectiveness and developing a collaborative culture.

3. Group Mentorship

In this model, a single mentor or a group of mentors is paired with several mentees. This approach is cost-effective and promotes knowledge sharing within the organization. It’s especially useful when there’s a shortage of mentors or when mentees prefer learning in a group setting.

4. Onboarding Mentorship

New hires are paired with internal company mentors who help them understand the organization’s culture, values, goals, and team dynamics. Onboarding mentorship can significantly improve new employees’ sense of belonging and job satisfaction, leading to quicker integration and higher retention rates.

5. Virtual Mentorship

With the rise of remote work, virtual mentorship has become more prevalent. This approach removes geographic barriers, allowing employees from different locations to connect and collaborate. Virtual mentorship is also aligned with diversity, equity, and inclusion (DEI) goals, providing equitable access to mentoring opportunities regardless of location.

Best Practices for Building a Mentorship Culture

Creating a successful mentorship program in tech requires careful planning and clear communication. Here are some best practices to ensure your program’s effectiveness:

#1. Set Clear Goals and Expectations

Mentors and mentees should clearly understand what they hope to achieve through the mentorship relationship. Define specific outcomes, such as skill-building, career development, or networking, and establish a plan for meeting these goals. This clarity will prevent misunderstandings and ensure that both parties are aligned in their expectations.

#2. Find the Right Match

Matching mentors and mentees is critical to a successful mentorship program. When pairing a mentee with a mentor, consider not only the mentee’s desired skill set and career goals but also the mentor’s expertise and willingness to share knowledge and connections. Equally important is ensuring that both parties have compatible communication skills and styles, as this can significantly impact the effectiveness of their collaboration.

#3. Establish a Structured Program

A well-structured mentorship program includes defined timelines, meeting frequencies, and formats. For example, pairs might agree to meet monthly for one-hour virtual or in-person sessions. Establishing these parameters upfront allows both parties to focus on the content of their discussions rather than logistics.

#4. Encourage Regular Feedback

Regular check-ins and feedback sessions are essential for the ongoing success of the mentorship relationship. Encourage mentors and mentees to discuss what’s working well and what could be improved. This continuous feedback loop will help address any issues early on and ensure the relationship remains productive.

#5. Educate and Support Mentors

Mentoring requires a specific set of skills, including active listening, empathy, and the ability to provide constructive feedback. Offer training and resources to help mentors develop these skills and remind them that their role is to guide, not to dictate. Encouraging mentors to recognize their knowledge’s limits and connect mentees with other resources when necessary will enhance the overall mentorship experience.

#6. Promote Psychological Safety

Creating an environment of trust and psychological safety is crucial for effective mentorship. Both mentors and mentees should feel comfortable discussing challenges, asking questions, and expressing concerns without fear of judgment. Establishing guidelines for communication and conflict resolution will help maintain this safe space.

The post Building a Mentorship Culture in Tech: Benefits and Best Practices appeared first on HackerRank Blog.

Career pathing is more than just a human resources buzzword; it’s a strategic approach to employee development that aligns personal ambitions with organizational goals.

For organizations, structured career paths attract top talent and improve retention by offering clear advancement opportunities. For employees, these paths provide a roadmap for professional growth, enhancing job satisfaction and engagement.

So how can you establish solid career paths that benefit the company and employees? This article will cover the benefits of career pathing and provide actionable steps to build effective career trajectories for your tech employees.

Benefits of Establishing Career Paths

For Companies

Attracting Top Talent

In a LinkedIn survey, 59% of tech talent listed career growth opportunities as the top reason they accepted a new role. Companies that showcase clear career advancement opportunities will be better able to attract potential hires to their workforce.

Increasing Retention

Career pathing helps employees visualize their future within the organization, leading to higher job satisfaction and retention. Companies that actively upskill employees reduce turnover and replacement costs. A LinkedIn study revealed that 94% of employees would stay at a company longer if it invested in their career development. On the flip side, employees who feel their organization has no opportunities for career growth are 12 times more likely to leave.

Improving Business Performance

Structured career paths motivate employees to perform better, leading to significant business benefits. Gallup found that highly engaged teams experience 81% less absenteeism, 18%-43% less turnover, and 23% higher profitability. Employees at tech companies that innovate and grow rapidly are more likely to stay with the company.

For Employees

Professional Growth

Clear career paths provide employees with a professional development roadmap, allowing them to acquire new skills and advance in their careers. According to a report by Deloitte, 71% of millennials expect their employers to provide opportunities for them to develop their skills and move forward in their careers.

Job Satisfaction

Employees feel more valued and engaged when they see opportunities for growth and development within their organization. A survey by the Work Institute found that lack of career development was the primary reason for voluntary turnover, with 22% of employees leaving their jobs for this reason.

Skill Development

Career pathing encourages continuous learning and skill acquisition, making employees more proficient and versatile. A study by the World Economic Forum found that by 2025, 50% of all employees will need reskilling due to changes in job requirements. Providing structured career paths helps employees keep up with these changes, ensuring they remain competitive and valuable within the organization.

Career Stability

Career paths offer employees a sense of stability and direction in their professional lives by providing a clear trajectory. This stability is essential in today’s volatile job market, as it reassures employees that they have a future within the organization. The same Deloitte report indicated that employees who feel their jobs are secure are 42% more engaged and 36% more productive. 

 How to Build Career Paths

1. Assess Your Business Needs

Building career paths starts with evaluating your business’s current and future skill needs. To identify key skill areas to build career paths around, you should:

• Identify critical roles, succession plans, and emerging job functions. 
• Create detailed job descriptions for these roles, including the required skills, qualifications, and experience. 
• Assess departments and teams to identify skill gaps within your organization. This essential step ensures that your career pathing aligns with organizational goals and proactively maintains crucial skills needed for growth.

2. Discuss Career Goals with Employees

Hold regular discussions with your team members to understand their career aspirations. Encourage open dialogue about their short- and long-term goals and identify the skills and future job opportunities each employee seeks. This personalized approach helps create tailored career paths that align with employee ambitions and business needs.

3. Build Career Pathways

Craft detailed career pathways that outline the skills, knowledge, and experience required for each role. Ensure these pathways are flexible, allowing for non-linear progression, as employees in tech often move laterally or across functions based on their interests and the company’s needs. This approach provides clarity and direction, empowering employees to visualize their career trajectories within the organization.

4. Create an Upskilling and Mobility Plan

An internal mobility strategy is a framework that facilitates the transition of employees between roles, departments, or locations within a company. Instead of looking outward when a position opens, companies first assess their internal talent pool. 

Continuous learning is crucial in the tech industry. Develop an upskilling plan that includes:

• On-the-Job Training: Encourage employees to take on new responsibilities and projects that challenge their skill sets.
• Online Courses and Certifications: Provide relevant courses and certifications using platforms like HackerRank, Coursera, and Udemy.
• Conferences, Webinars, and Workshops: Facilitate attendance at industry events to keep employees updated with the latest trends and innovations. These workshops can include sessions with department leaders, interactive activities, and personalized career planning.
• Mentoring and Coaching: Pair less experienced employees with seasoned mentors to foster knowledge transfer and professional growth.

5. Monitor and Evaluate Progress

Ensure that career pathways remain relevant and up-to-date by regularly reviewing and updating them based on industry trends, technological advancements, and organizational changes. 

Use upskilling tools, presentations, and project evaluations to measure skill improvements. Engage in two-way communication to provide and receive feedback, ensuring that the career pathing process remains dynamic and responsive to changing needs. This keeps the career development process dynamic and aligned with the evolving needs of the business.

6. Reward and Recognize Growth

Acknowledge and reward employees’ progress along their career paths. This can be through promotions, pay increases, or public recognition. Celebrating achievements boosts morale and motivation, reinforcing a culture of continuous development. 

Career pathing is a continuous and evolving process, much like the tech field itself. Regularly revisit and refine your strategies to ensure they remain relevant and effective, driving success for your employees and your business.

The post How to Establish Career Paths for Your Tech Employees appeared first on HackerRank Blog.

When it comes to succeeding in tech, staying current is not just an advantage—it’s a necessity. New algorithms, programming languages, and tools emerge constantly. Upskilling your software engineering team is essential for maintaining a competitive edge and ensuring your company remains at the forefront of innovation. In this article, we’ll break down how tech companies and engineering managers can identify the skills their software engineering teams need and develop an effective upskilling strategy.

Why You Should Upskill Your Software Engineering Team

The U.S. Bureau of Labor estimates job opportunities for software developers, quality assurance analysts, and testers will grow by 25% between now and 2032. Over 153,000  jobs are projected yearly due to workers retiring or entering a different industry. To put this into perspective, the average projected growth across all occupations during that same time is only 2.8%. 

This rapid growth means that, in the long term, companies are likely to face significant challenges in finding the engineering skills they need. Additionally, existing teams will need to continuously learn new skills to keep up with the pace of innovation.

Upskilling is an increasingly attractive solution for closing these skills gaps and realizing a range of compelling benefits.

1. Enhanced Productivity and Efficiency

Upskilled employees can leverage new tools and technologies to streamline workflows and automate repetitive tasks, thereby increasing productivity. And continuous learning enhances problem-solving abilities, enabling employees to tackle challenges more efficiently and reduce downtime. This focus on complex, value-adding activities can significantly boost operational efficiency.

2. Improved Employee Retention and Reduced Turnover

Developers recognize the importance of learning new skills and staying relevant. According to LinkedIn, 94% of employees would stay at a company longer if it invested in their career development. 

High turnover rates are costly, with productivity losses estimated to cost 30% to 200% of an employee’s annual income. Then there is the cost of replacing an employee, roughly equivalent to nine months of their salary. Upskilling helps companies avoid these costs while improving efficiency and innovation. 

3. Competitive Advantages

As technology evolves, specific skills become obsolete while new ones emerge. Continuously upskilling employees ensures they are prepared to handle upcoming technological shifts and challenges. This proactive approach positions companies at the forefront of industry changes.

By upskilling, companies bridge the skills gap, boost productivity, foster innovation, and retain valuable employees. This strategic approach ensures the company and its workforce are well-prepared for the future. Upskilling is not just a response to current challenges; it’s an investment in long-term success.

How to Identify Skills Gaps

Before you can effectively upskill your data science team, you need to identify your skills gaps. This involves both a high-level overview of your team’s capabilities and a deep dive into individual competencies.

Start by reviewing your current projects and pipelines. What are the common bottlenecks? Where do the most challenges or errors occur? Answers to these questions can shed light on areas that need improvement. 

Next, look at the individual members of your team. Everyone has their own unique set of strengths and weaknesses. Some may be fantastic with code reviews but could improve their communication skills. Others might be proficient in Python but not as adept with SQL. You can identify these individual skill gaps through regular performance reviews, one-on-one check-ins, or even anonymous surveys. 

Remember, the goal here is not to criticize or find fault but to identify opportunities for growth. The process of determining the skills gap should be collaborative and constructive and should empower team members to take ownership of their professional development.

Once you have a clear picture of the skills gaps in your team, you can start to strategize about the most effective ways to bridge these gaps. 

Upskilling Strategies

1. On-the-Job Training: Learning by doing is highly effective. Encourage your team to take on new responsibilities or projects that stretch their skills. Provide resources and support, but give them the autonomy to learn and grow.
2. Online Courses and Certifications: The internet is full of learning resources. Platforms like HackerRank, Coursera, and Udemy offer courses in various tech subjects. These courses often come with certifications that validate your team’s new skills.
3. Conferences, Webinars, and Workshops: These events offer opportunities to learn from industry experts and stay updated with the latest trends. Encourage your team to attend these events, either in person or virtually.
4. Mentoring and Coaching: Pairing less experienced team members with seasoned professionals can facilitate knowledge transfer. Mentors share their successes and mistakes, while mentees bring fresh perspectives.
5. Experiential Learning: This educational approach emphasizes learning through direct, hands-on experiences. For example, hackathons provide developers with practical, immersive learning opportunities.

Remember, different team members have different learning styles. Some may prefer structured online courses, while others thrive on practical application. Offer a mix of learning opportunities to accommodate these diverse preferences.

Measuring Success and Tracking Progress

How can you determine if your upskilling efforts are yielding results? Here are some key metrics to measure success: 

• Improvement in Project Outcomes: Look for better work quality and efficiency as team members apply new skills, such as faster turnaround times or higher-quality code.
• Increased Efficiency: Expect greater autonomy and efficiency within your team, including bringing previously outsourced tasks in-house and streamlining processes.
• Feedback from Team Members: Regularly gather insights from your team to assess the effectiveness of upskilling efforts and identify areas for improvement.
• Skill Assessments: Measure skill improvements through quizzes, presentations, or project-based evaluations conducted regularly.
• Retention Rates: Monitor turnover rates to gauge the success of upskilling initiatives. Employees are more likely to stay with a company that invests in their growth.

Utilize this feedback to fine-tune your program as required. Tracking progress aims to provide insights rather than impose pressure, helping you comprehend the team’s development. Celebrate achievements and perceive obstacles as chances to enhance your upskilling approach.

The post How to Upskill Your Software Engineering Team appeared first on HackerRank Blog.

Software engineering is all about creating, innovating, and optimizing solutions. Yet, without proper management, the brightest minds can flounder and the most innovative solutions can lose their impact. A skilled engineering manager stands as the linchpin, guiding technical teams to successful outcomes and ensuring the broader objectives of an organization align with the day-to-day execution of projects. 

Indeed, a study by Google’s Project Oxygen, which looked at what makes a great manager, found that effective management significantly impacts team outcomes, turnover rates, and overall job satisfaction. When considering these findings, it becomes clear that the difference between success and failure often rests on the shoulders of an engineering manager.

As the Google study showed, the significance of effective engineering management truly can’t be overstated. These professionals act as the bridge between technical teams and business stakeholders, demonstrating communication, leadership, strategy, and, not least of all, profound technical understanding. 

But what skills does it take to navigate this pivotal role effectively? What are the talents that set apart those who excel in engineering management, driving not just the success of their teams but also the larger success of the organizations they serve? In this article, we’ll delve deep into these questions, exploring the key skills every engineering manager needs and providing tangible examples to illuminate the path for aspiring engineering managers and those tasked with hiring them. 

1. Technical Expertise

The first skill in our exploration is the bedrock of any engineering role: technical expertise. An engineering manager, at their core, is still an engineer. They might not be in the trenches coding every day, but a thorough understanding of the domain, the technology stack, and the nitty-gritty of the team’s work is a must.

Technical expertise enables engineering managers to guide and support their teams through the complexities of their projects. They can effectively evaluate the feasibility of solutions, foresee potential roadblocks, and provide tangible help to their team members. This expertise, combined with leadership skills, allows them to act as a resource for their team, rather than merely a supervisor.

Consider an engineering manager leading a team developing a machine learning algorithm. They might not be writing the algorithm themselves, but they should understand the principles of machine learning, the programming languages being used, and the potential challenges that could arise. 

One day, the team hits a roadblock: the algorithm isn’t learning as expected. The manager, with their technical expertise, can guide the team, suggesting potential adjustments or identifying overlooked data patterns that may be affecting the algorithm. This guidance can be the difference between a successful project and a stagnant one.

Hence, an engineering manager’s technical expertise is not just about understanding what the team is doing but also being able to guide, support, and facilitate the team’s work. The aim is not to be the most skilled individual contributor, but rather a leader who can navigate the technical landscape with proficiency and confidence. 

Having solid technical foundations not only earns the respect of the team members but also equips managers with the tools to make informed decisions that directly affect project outcomes. It’s a skill that is honed over years of hands-on experience and continuous learning, and its value in the realm of engineering management is beyond measure. 

2. Communication and Collaboration

An engineer may spend a lot of their time interfacing with machines, but an engineering manager spends a considerable amount of their time interfacing with people. In fact, a recent report found that the average engineering manager spends 17.9 hours per week in meetings. Hence, one of the paramount skills every engineering manager needs is the ability to communicate effectively and foster collaboration.

Engineering managers are often the conduit between various stakeholders — the technical team, other department leaders, clients, or executives. They need to be able to translate technical jargon into business language and vice versa. For instance, they might need to explain to the C-suite why investing in a particular technology will give the company a competitive edge. On the flip side, they need to communicate the business’s needs and vision to their team to guide their work in the right direction.

But communication is not merely about talking; it’s also about listening. Active listening fosters open dialogue, encourages team members to share their ideas, and creates a collaborative environment where everyone feels their input is valued. The best engineering managers are not just effective communicators, they are also adept at building strong relationships within their team and beyond.

Let’s paint this with a real-world example. Suppose a critical bug is discovered in a software application. The engineering manager needs to communicate this to the client, explaining what the issue is, how it happened, and how it will be fixed. Simultaneously, they also need to discuss with their team to understand the technical details, guide them through the resolution process, and ensure everyone is on the same page.

In this scenario, the ability to communicate clearly and collaborate effectively can make the difference between a swiftly resolved issue and a prolonged problem that strains client relationships and team morale.

3. Leadership and People Management

The shift from an individual contributor to a managerial role often involves moving from doing the work to guiding others in their work. As such, one of the most significant skills every engineering manager needs is the ability to lead and manage people effectively.

Leadership and people management involve many sub-skills. A good engineering manager knows how to set clear expectations and define achievable goals. They know how to delegate tasks based on the strengths of their team members, and they understand how to provide constructive feedback that helps their team grow. Perhaps most importantly, they know how to motivate and empower their team, fostering a positive and productive work environment.

Consider the scenario of a cross-functional team working on a major product release. This team comprises software developers, testers, UX/UI designers, and maybe a data scientist or two. Each of these team members has a different skill set, and they likely see the project from their unique perspective.

In this scenario, the engineering manager’s leadership and people management skills come to the forefront. They need to ensure everyone understands the project’s goals, delegate tasks effectively, and ensure all the pieces come together seamlessly. They need to maintain open lines of communication, manage conflicts, and keep the team motivated even when facing tight deadlines or unexpected challenges.

Successfully leading a team to achieve a major milestone like a product release requires a deep understanding of people management. The manager needs to understand what drives each team member, how they work best, and how to bring out their full potential. It’s not just about managing the work; it’s about leading the people who do the work.

To put it succinctly, leadership and people management skills are about inspiring others to do their best work. These skills are crucial for any engineering manager and lay the foundation for a high-performing, cohesive team. 

4. Strategic Thinking and Problem Solving

Beyond the confines of day-to-day project management and team leadership, engineering managers must possess the ability to think strategically and solve problems. As much as they’re the captains of their respective teams, they’re also the navigators, charting the course toward the organization’s broader goals.

Strategic thinking involves identifying long-term goals and aligning them with the overall business objectives. This might mean selecting which projects the team should tackle based on the company’s strategic priorities or deciding to adopt a new technology that will position the company for future success.

Closely related to strategic thinking is problem solving, another crucial skill every engineering manager needs. In an industry where change is the norm, engineering managers must be adept at analyzing complex problems and making data-driven decisions. They need to understand the cause-and-effect relationships, foresee potential obstacles, and develop robust solutions.

Imagine an engineering manager faced with scalability issues as the user base of their company’s application grows. This is not a problem that can be solved with a simple bug fix. Instead, it requires a strategic approach, analyzing the root causes of the scalability issues, and considering various potential solutions.

The manager needs to balance the immediate needs of handling increased user traffic with the long-term goals of developing a scalable architecture that can support future growth. They might have to make tough decisions, like prioritizing refactoring code or investing in more robust infrastructure, which could delay new feature development in the short term but would provide significant benefits in the long run.

In this example, the ability to think strategically and solve problems is pivotal. It ensures the manager not only addresses the immediate issue at hand but also sets the foundation for the application’s future success, aligning it with the company’s growth objectives.

In essence, strategic thinking and problem-solving enable engineering managers to guide their teams and the organization toward a successful future. They allow managers to navigate through the complex landscape of engineering, making informed decisions that propel the team and the business forward.

​​5. Adaptability and Continuous Learning

In an industry characterized by rapid technological advancements and constant evolution, the ability to adapt and learn continuously is a non-negotiable skill every engineering manager needs. Embracing change, navigating ambiguity, and staying ahead of industry trends are crucial aspects of an engineering manager’s role.

Adaptability is about more than just coping with change. It’s about embracing it, harnessing it, and using it as a tool for innovation and improvement. Engineering managers need to be agile in their approach, willing to pivot strategies, adopt new technologies, or reorganize projects as needed.

For example, consider the impact of emerging technologies such as AI, blockchain, or quantum computing. An adaptable engineering manager recognizes the potential these technologies present and proactively seeks to understand them and consider how they could be incorporated into their team’s work or the company’s broader strategy.

Continuous learning goes hand-in-hand with adaptability. The most successful engineering managers are those who never stop learning. They keep abreast of industry trends, new technologies, and best practices. They also foster a culture of learning within their teams, encouraging team members to learn, share knowledge, and continuously improve.

In this light, continuous learning is not merely a personal attribute, but a key cultural element within a team. An engineering manager that promotes a culture of learning creates a dynamic, curious team that is not afraid to explore new territories, take on challenges, and grow both personally and professionally.

Navigating the Road to Successful Engineering Management

Through our exploration, we’ve dissected the intricate mosaic of skills every engineering manager needs. Yet, the pursuit of these skills is not a destination but a journey. No engineering manager will have mastered all these skills to perfection. But the aspiration to continuously grow in these areas, the quest to refine these skills day after day, is what separates a good manager from a great one.

These skills form a clear roadmap for anyone involved in the engineering management field. Whether you’re a seasoned professional looking to sharpen your skills or you’re just embarking on your journey, understanding these skills provides a path to follow. It’s not about ticking boxes or achieving an abstract ideal. Instead, it’s about holistic growth as a leader who can inspire a team, steer successful projects, and contribute to your organization’s larger vision.

Engineering management is a richly layered role that goes beyond technical knowledge. The heart of it lies in creating an environment that champions innovation, cultivates open communication, and celebrates continuous learning. With a focus on these key skills, you can shape the direction of your team, influence the broader technology landscape, and leave your mark as a leader in this vibrant field.

This article was written with the help of AI. Can you tell which parts?

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With a direct impact on product quality, employee engagement, and team turnover, having a strong engineering culture is essential for every technical team. But the prospect of building and maintaining an engineer culture can also feel abstract. What is an engineering culture? And how can you create organizational processes that foster a culture of innovation across a global workforce?

What Even Is Engineering Culture, Anyway?

A company culture is the set of shared values, goals, and practices that define an organization. More specifically, it’s how things get done in a workplace, and it’s defined by a combination of organizational processes and the people that make up that organization.

Every company has a unique culture that defines its business practices. However, companies that employ engineers also have an additional set of values known as an engineering culture, which can be defined at the company, department, or team level. 

Features of engineering culture include:

• Code reviews
• Agile development
• Process automation
• Technical mentorship
• Professional development
• Engineering excellence

Why Is Engineering Culture Important?

To succeed, an engineering team needs to have certain organizational practices not present in other disciplines. A strong engineering culture is vital for fostering these practices and values, which are likely not established by the broader company culture. 

Without a strong engineering culture, key concepts like innovation, code quality, engineering excellence, and code reviews disappear from an organization. In this way, a company’s engineering culture directly impacts the quality of the products, systems, and its profitability.

Imagine an engineering team without a cultural expectation of engineering excellence. 

In the short term, such a team would likely have cursory or non-existent code reviews, leading them to ship products and features with a poor technical foundation. At scale, this could lead to service outages, high labor costs, a poor user experience, and low customer retention. 

In the long term, an engineering team with a weak culture would likely fail to develop innovative new products. Within a few years, the company has a higher risk of falling behind competitors and fading from relevance.

Fortunately, establishing a strong engineering culture doesn’t just avoid negative business outcomes. It also provides a number of benefits, including:

• Reduced employee turnover
• Higher employee engagement
• Reduced support costs
• Reduced technical debt
• Innovative products
• Clean, high-quality code

How to Build an Engineering Culture

Structure for Innovation

Building an engineering culture is a pretty abstract concept. Culture is often described in terms of key values or shared beliefs. However, for an engineering culture to thrive, it also needs to have tangible structures that guide the day-to-day operations of the engineering team. There are a few organizational models out there for encouraging innovation.

The pod-centric approach

A pod-centric model is an organizational structure that establishes small, cross-functional teams that are completely dedicated to solving one problem. A small team with a narrow focus is more likely to come up with innovative solutions, particularly if focused around problem statements, not just functional areas. One example of a pod-based organization is Spotify, which developed its own organizational model for an engineering culture that balances autonomy and scalability.

The 80/20 model

Another option for team organization is the 80/20 model. Under this structure, 80% of the engineering team focuses on executing the company roadmap and addressing customer needs. The other 20% of the team, however, invests in re-architecture and prototyping new ideas. In the 80/20 model, multitasking is forbidden. Each engineer is either entirely focused on production or innovation. This structure helps teams keep up with typical production demands while making space for constant innovation.

Shift from Culture-Fit to Culture-Add

If employees are the foundation of a company’s culture, then the principles driving the hiring process will have a direct impact on that culture.

The phrase “culture fit” is widespread in hiring processes, with 82% of hiring managers citing it as a key hiring factor. Often, hiring teams that use the term are looking for candidates whose values and behaviors align with the existing culture. 

However, companies are starting to notice a number of drawbacks to culture-fit hiring, including:

• High turnover
• Unconscious bias
• Underperforming DEI initiatives
• Poor company performance
• Lagging innovation

In contrast to culture-fit, many companies are shifting to culture-add hiring. Culture-add hiring is the concept of hiring candidates who will contribute to and evolve a company’s culture, rather than conform to an existing one.

A culture-add approach is important for engineering teams because it leaves room for the team culture to change and improve with each new perspective added to the team. In that way, an engineering team’s culture undergoes the same process of continuous improvement as the technologies they’re working on.

Prioritize Upskilling

Engineering culture is also punctuated by how well an employer supports its current workforce. One of the best ways to do that is through upskilling programs that ensure engineering teams stay up to date with the latest technologies and skills. On a basic level, upskilling involves identifying the missing skills on your team and providing learning opportunities for employees to cultivate those skills.

How to Demonstrate Your Engineering Culture to Candidates

Use Modern Interview Tech 

Developers and tech teams work at the forefront of innovation. But many companies continue to conduct technical interviews with outdated tools. 

It’s 2023, and it’s still common to force candidates to code in word processors, share screens—or even write out solutions longhand with pen and paper.

If a company wants to establish and communicate an innovative engineering culture, these approaches send the wrong signal. The tools you use to interview candidates should demonstrate a commitment to a higher level of innovation.

The key change is to adopt an integrated development environment (IDE) built specifically for technical interviews. IDEs allow candidates and interviewers to code, create and collaborate on questions in real time, while giving hiring teams the admin tools they need to make smarter hiring decisions.

Interview for Real-World Skills

The first time an employee learns about a team’s culture isn’t when they join the team. It’s actually during the hiring process. And for developers, one of the most important criteria for accepting a role is the quality and relevance of the interview questions.

In a survey of our community of developers, 32% reported that the relevance of questions was the first thing they noticed about an interview process. In another survey, 65% of developers reported that they want more interview questions that test real-world skills. And there was also noticeable interest (15%) in more collaborative question formats.

These findings shouldn’t come as a surprise. Engineers care about solving exciting, challenging, and relevant technical problems. And so, when interviewing for a role, an engineer uses the questions the hiring team asks them as a gauge for what problems they would get to solve at the company. In this way, interview questions are a key channel for communicating an engineering team’s culture. 

Algorithmic coding challenges signal to candidates a dated engineering culture. In contrast, questions that test a candidate’s real-world skills signal to candidates a strong, skills-based engineering culture focused on solving real-world problems.

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This is part 2 of a 3-part series based on a conversation between HackerRank’s CEO and Co-founder, Vivek Ravisankar and Atlassian’s Head of Platform, Mike Tria, on engineering management. 

This post discusses how to assess developer candidates and build high-performing engineering teams. Catch part 1 and hear Mike’s advice on building key engineering management skills here.

HackerRank’s CEO and co-founder, Vivek Ravisankar, and Atlassian’s Head of Platform, Mike Tria, are both developers who have built and lead engineering teams. Drawing from their experiences, they share which interview assessment methods spotlight the right candidates—and common mistakes first-time engineering managers make.

How to assess individual contributors and managers

When hiring new grads, junior developers, and even senior developers, it’s the industry standard to evaluate a candidate's skills with a technical assessment before extending an offer. But developers disagree about whether companies should require seasoned individual contributors (ICs) and hiring managers to code during the interview process.

For developers who have 10+ years of experience and a robust portfolio, the request to invert a binary tree on a whiteboard can be insulting and irrelevant. When it comes to take-home challenges, developers who work full-time don’t want to spend 3+ hours completing a lengthy assignment.

During the hiring process at Atlassian, every IC and hiring manager goes through some form of technical vetting, but the type of assessment differs for each role. 

Assessing individual contributors

Since ICs are responsible for the heavy lifting on high-stakes projects, Mike believes every IC should receive a coding evaluation. “On the IC track at Atlassian, everyone from the junior dev to the top-level architects are expected to write code,” says Mike.

His reasoning? He’s seen first-hand moments when ICs with rusty coding skills struggle. “When they jump in on a problem that might require them to be the one that innovates on a solution, they’re unable to do it. So, we test for that, for every single level of engineer.”

Assessing engineering managers

For engineering managers, Mike says there’s a different type of technical assessment for each level of seniority. A first-level manager is required to write code. Managers at higher levels are required to show their experience with architectural and system design questions. 

Mike doesn’t assess more senior managers’ coding abilities for one simple reason: engineering managers require more than a technical skill set. Instead, managers need a mix of strong soft skills and technical skills. Some of the crucial soft skills include team-building, active listening, communication skills, and a sharp business acumen.

According to Mike, if the manager has a proven technical foundation, they shouldn’t be required to code during the interview. “You can bring in a VP who hasn’t coded in 8 years, and you might be completely comfortable with them representing the team because they’re current on the technology, they understand architectural principles. And that’s sufficient for them.”

Mike asks questions focused on systems design and real Atlassian technical problems to accurately assess a candidate’s skill level. “The technical problem could be related to improving one of Atlassian’s products, like: ‘How do we solve this storage problem?’ or ‘How can we deliver a better performance to our users?,” says Mike. “We’ve failed managers that have managed 100s of people at well-known public companies because they were not able to pass these. So technical matters, but coding specifically for managers after the first [level] we don’t do.”

Atlassian’s take on role-specific assessment questions

To provide a candidate-first experience, more companies are positioning their technical assessments to give candidates a preview of the day-to-day work they’d see on the job. While this approach is beneficial to both the candidate and the employer, it’s hard to scale. Larger companies might not have the time or resources needed to create an assessment specific to each role they’re hiring for.

At Atlassian, they use generalized real-world problems in their assessments. “We will do coding based on a similar set of problems, and those coding problems tend to be grounded in problems we actually have at Atlassian.”

Once Atlassian stopped asking brain teaser questions and focused on problems they face in their products, they were able to better identify the best-fit candidates. It also paints candidates a clearer picture of what their day-to-day would consist of—a huge benefit for candidate experience. 

While Mike promotes real-world problems in assessments, he advises teams to keep a reasonable time limit on the assessment. Sending multi-day simulation problems might work for junior candidates who just graduated from a college program. But, Mike says assigning a multi-day assessment to candidates who are working full-time is a big ask. “Outsourcing your job to a candidate during an interview can be a really hard thing to ask and it limits your pool.” 

Common mistakes first-time engineering managers make when building teams

With 13+ years of experience leading engineering teams, Mike has noticed several common mistakes new engineering managers make when building teams. Here are the top 3 team building missteps first-time managers should avoid:

Hiring people just like you

The most common mistake is hiring candidates who hold the same values, work styles, personality, and interests as the manager. While it’s natural to connect with candidates who are just like you, focusing solely on  those candidates negatively impacts the entire direction of your team. “If you end up bringing in people who are just like you, you’ll end up with a team with blind spots you can drive a truck through, and you’re going to make big mistakes when the time comes,” Mike says. 

Atlassian conducted in-depth research on the values of balance & belonging, and creating diverse teams. All of this research points to one consistent fact: diverse teams are the teams that win.

Not setting clear expectations for their team

Another mistake Mike sees new engineering managers make? Not outlining clear task and performance expectations. Even if your team members display leadership and project management skills, it’s still the manager’s responsibility to check in with the team and communicate expectations.

“It’s very easy to have a team and give them a ton of autonomy,” says Mike. “If you don’t set any expectations of what you expect as a manager, they’re just going to go off-road quickly. Your job is to give them expectations.”

Not giving your team enough autonomy

On the other end of the spectrum, some new managers don’t give their team enough autonomy. In order to build a high-performing team, you need to create space for your team to tackle problems in their own way. Making room for each member of your team to introduce a new process or offer a different perspective gives them a sense of ownership and responsibility. 

According to Mike, the combination of diverse hiring, outlining expectations, and giving your team freedom to work in their own way is the formula to building high-performing engineering teams. “Hire the right people, ideally a diverse team,” says Mike. “Setting expectations of what success means for that team, and give them the room to do it.”

Tying it all together

Every engineering leader faces a learning curve when it comes to building and leading teams. Learning how to assess every type of developer, choose candidates who bring a different perspective to the table, and communicate expectations, while also encouraging autonomy, are skills that take time to hone and perfect. But the more experience you gain in each of the above, the closer you’ll be to mastering the art of building high-performing engineering teams.

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