Senior Engineering Manager

About the role

As an Engineering Manager on the Assessment Platform team, you will lead the technical vision and execution for the systems that power the assessments on HackerRank. This includes giving candidates the ability to work on a real world application running on dedicated VMs with an online ADE built by HackerRank. Doing this for concurrencies of up to 100K candidates is a very interesting technical challenge. You will also partner with product teams across HackerRank to embed these solutions into every product, drive the team's roadmap, and build a high-performing, growth-oriented team that delivers scalable, resilient systems.

What you will do

• Own the vision and roadmap for assessment platform, working closely with Product to shape priorities.
• Architect systems that reliably handle 100k+ concurrent users.
• Own delivery commitments and run the team's day-to-day execution using agile practices.
• Ensure operational excellence: reliability, incident response, security and privacy.
• Hire, mentor and grow engineers, and set clear career paths for each team member.
• Define how the team uses AI tools in development to improve quality and speed.
• Partner with Product, infrastructure and Security teams.

Who you are

• 8+ years of software development experience, including 3+ years leading engineering teams.
• Strong experience designing highly available, scalable, fault-tolerant, secure distributed systems and large-scale web services.
• Strong technical leadership, with the ability to drive critical architecture discussions.
• Proven record of hiring, leading and mentoring technical teams and managing stakeholder expectations.
• Hands-on proficiency in at least one of Go, Python, Ruby or Node.js
• Strong hands-on proficiency in at least one of AWS or GCP.
• Clear communicator who thrives in fast-paced, evolving environments.

Even better if you have

• Experience building or scaling cloud IDEs, remote dev environments, or online coding platforms, with a developer-first mindset.
• Hands-on depth in containers, Kubernetes, and on-demand VM or sandboxed compute at scale.
• A track record of load testing, autoscaling, and capacity planning for spiky, event-driven traffic.
• Experience driving AI-assisted development practices across an engineering team.

You will thrive in this role if you

• Enjoy balancing hands-on technical contributions with people leadership.
• Think strategically about long-term platform scalability while delivering short-term results.
• Comfortable operating in fast-paced, evolving environments.
• Take ownership end-to-end from roadmap definition to execution and team growth.