Customer Experience Engineer, L1

HackerRank interviews typically involve technical and behavioral rounds. Prepare by practicing problems and reviewing common interview questions. Be ready to discuss your projects, coding skills, and problem-solving approach.

HackerRank prioritizes employee well-being, growth, and diversity. They offer flexible work arrangements, opportunities for professional development, and a collaborative work environment.

Recent graduate or early-career engineer with up to 3 years of relevant experience. Bachelor’s or Master’s degree in Computer Science or related field. Strong programming fundamentals and comfort reading code; experience with Python, JavaScript, Java, or a similar language.

Round 1: Technical interview → Round 2: Behavioral interview → Round 3: HR (based on company knowledge)

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 Customer Experience Engineering is where customers, product, and engineering meet. As a CXE 1, you’ll investigate real technical problems across our platform, APIs, integrations, data, and customer workflows. You’ll learn to trace issues to root cause, communicate clearly with customers and internal teams, and build the judgment to own increasingly complex work independently. This is not a traditional support role built around scripts and handoffs. You’ll work in one shared CXE queue, use AI as part of your everyday engineering toolkit, and contribute to the knowledge, automation, and product improvements that prevent repeat problems. CXE 1 is designed as a transition into CXE 2 as your depth, independence, and customer readiness become consistently visible. What you will do Own standard and moderately complex customer issues from first investigation through resolution and closure. Debug web application, API, integration, authentication, configuration, and data issues using logs, developer tools, SQL, and established investigation patterns. Communicate clearly and empathetically across tickets, calls, incidents, and internal channels; ask precise questions, set expectations, and close every loop. Work with CXE 2 engineers on complex, high-risk, or enterprise cases, taking on greater ownership as your readiness grows. Create structured escalation reports for confirmed product issues and stay accountable for progress and customer closure when Engineering is involved. Use AI tools safely to accelerate investigation, validate hypotheses, improve responses, correct support-agent outputs, and strengthen team knowledge. Turn learning from customer issues into better documentation, runbooks, product feedback, and small automation or tooling improvements. Protect shared queue health by prioritising accurately, meeting service levels, documenting work cleanly, and helping rebalance work across shifts. Participate in rotational shifts and on-call coverage, including occasional evenings or weekends, to support global customer needs. Who you are A recent graduate or early-career engineer with up to 3 years of relevant experience. Strong freshers are encouraged to apply. Strong programming fundamentals and comfort reading code; experience with Python, JavaScript, Java, or a similar language. Familiarity with REST APIs, HTTP, web applications, and how software systems communicate. Working knowledge of SQL and an interest in using data to investigate and validate behaviour. Curious and systematic: you want to understand why something failed, not just make the error disappear. Clear written and verbal communicator who can explain technical ideas in plain language to customers and engineers. Comfortable asking for review when risk or uncertainty is high, then applying the feedback quickly. Open to rotational shifts and occasional on-call coverage across a global customer base. Even better if you have Built a project, script, bot, or automation that solved a real problem. Worked with logs, observability tools, cloud platforms, SSO/SAML/OAuth, or third-party integrations. Used AI coding tools such as Claude, Cursor, Copilot, or similar and can explain how you validated their output. Contributed to an open-source project, hackathon, internship, or production codebase. You will thrive here if You enjoy ambiguous technical problems and are persistent enough to find the real cause. You care equally about technical correctness and how the customer experiences the resolution. You learn fast, seek feedback, and turn new knowledge into repeatable practice. You solve rather than route and take pride in leaving no loose ends.