Technical Support Engineer, L2

Hybrid in Bangalore, India

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world's most innovative companies to build strong engineering teams ready for what's next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role

We're looking for a Technical Support Engineer (L2) to own complex customer escalations end-to-end, from first investigation to final resolution. You'll debug platform, API, and integration failures, collaborate directly with Engineering on confirmed bugs, and lead incident response for high-severity issues. This role sits at the intersection of technical depth and customer experience. The best TSE 2s don't just close tickets. They take pride in the outcome and understand that their work directly drives customer retention and HackerRank's success.

What you'll do

Own complex technical escalations from investigation through customer closure, with no loose ends

Debug platform, API, and integration failures systematically, resolving the majority independently before escalating to Engineering

Collaborate with Engineering on confirmed bugs: write structured, reproducible reports, drive follow-through on fixes, and own the customer closure once resolved

Lead incident management and own customer-facing Root Cause Analyses for high-severity issues, driving structured internal escalation, clear communication cadence, and post-incident summaries.

Manage multiple open tickets simultaneously, prioritising accurately without losing SLA compliance or communication quality

Use AI tools actively and creatively to accelerate debugging, contribute lightweight code fixes, identify patterns across your queue, and build solutions that make the team more effective

Identify recurring patterns and surface them as runbooks or process improvements. Own the system, not just the symptom

Participate in a rotational on-call schedule that may require occasional coverage during late-night hours or weekends to support global customer needs.

Who you are

2 to 7 years of experience in technical support or product support for a B2B SaaS platform

Strong debugging instincts across web applications, REST APIs, and third-party integrations. You trace failures to root cause, not just the error message

Solid SQL skills. You write your own queries to investigate data issues and validate platform behaviour

Working knowledge of SSO, SAML, and OAuth flows; able to independently diagnose authentication and identity configuration issues

Hands-on coding ability in Python or similar at a solutions-engineering level, comfortable reading, writing, and adapting scripts for debugging, automation, and lightweight fixes

Familiarity with log analysis and observability tools for tracing API and integration failures

Clear, precise written communicator: technically accurate, empathetic, and written for the customer's context

Experienced in incident communication and RCA documentation: structured acknowledgments, proactive updates, and post-incident summaries that rebuild customer confidence

Able to manage difficult customer conversations with composure and ownership, turning pressure into trust

Strong internal stakeholder management, able to hold the thread across Engineering, CSMs, and Account Owners during an active escalation

Even better if you have

Experience debugging ATS or HR tech integrations (Greenhouse, Lever, Workday, or similar)

Used AI coding tools (Claude, Cursor, Copilot, or similar) to debug, automate, or build

Contributed to a codebase in a previous role, even in a tooling or support context

Built internal tools or automations that measurably improved team efficiency

You will thrive in this role if

You solve problems rather than route them and own outcomes rather than effort

You treat AI as a capability multiplier, building with it rather than just prompting it

You go further than required when a customer needs it and take genuine pride in making every interaction count

You believe exceptional customer experience is a direct driver of business success and act accordingly

Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here .

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

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Notice to prospective HackerRank job applicants:

Our Recruiters use @hackerrank.com email addresses.

We never ask for payment or credit check information to apply, interview, or work here.

2 to 7 years of experience in technical support or product support for a B2B SaaS platform

Strong debugging instincts across web applications, REST APIs, and third-party integrations. You trace failures to root cause, not just the error message

Solid SQL skills. You write your own queries to investigate data issues and validate platform behaviour

Working knowledge of SSO, SAML, and OAuth flows; able to independently diagnose authentication and identity configuration issues

Hands-on coding ability in Python or similar at a solutions-engineering level, comfortable reading, writing, and adapting scripts for debugging, automation, and lightweight fixes

Familiarity with log analysis and observability tools for tracing API and integration failures

Clear, precise written communicator: technically accurate, empathetic, and written for the customer's context

Experienced in incident communication and RCA documentation: structured acknowledgments, proactive updates, and post-incident summaries that rebuild customer confidence

Able to manage difficult customer conversations with composure and ownership, turning pressure into trust

Strong internal stakeholder management, able to hold the thread across Engineering, CSMs, and Account Owners during an active escalation

Even better if you have

Experience debugging ATS or HR tech integrations (Greenhouse, Lever, Workday, or similar)

Used AI coding tools (Claude, Cursor, Copilot, or similar) to debug, automate, or build

Contributed to a codebase in a previous role, even in a tooling or support context

Built internal tools or automations that measurably improved team efficiency

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