About the role

Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The ML systems that power this platform are not auxiliary features. They are the product.

Open Problems

The agentic era is reshaping every layer of the hiring stack. These are some of the core problems you'll be working across, none of them fully solved.

• Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.
• Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up.
• Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet.

Your focus will shift across these depending on where the highest-leverage work is at any given time.

What you will do

• Design and ship production ML systems across Chakra, integrity, and evaluation domains.
• Own the full ML lifecycle: problem framing, data strategy, experimentation, deployment, and iteration.
• Build evaluation infrastructure and benchmarking pipelines that reliably measure model quality before and after deployment.
• Define the architecture and production bar for different signal categories from scratch. 
• Mentor and support junior ML engineers, helping shape their technical thinking and raise the quality bar across the team.
• Establish ML best practices for the team: monitoring, model feedback loops, and quality standards.

Who you are

• 4+ years building and shipping ML systems that run in production at scale.
• Systems thinking comes naturally. Model accuracy, data pipelines, serving infrastructure, and customer outcomes are one problem, not four.
• Evaluation methodology matters as much as model performance. A metric measured wrong is worse than no metric.
• Proficient in Python, with practical experience building data pipelines and deploying models to production.

Even better if you have

• Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines.
• LLM experience: fine-tuning, RLHF, or multi-turn agentic systems.
• Background in adversarial ML, fraud detection, or anomaly detection.
• Publications or open-source contributions in detection, robustness, or evaluation methodology.

You will thrive here if

• Messy, undefined problems are more interesting to you than optimizing within clean ones.
• Ambiguity energizes you, especially when the right framing is itself part of the work.
• Direct access to leadership, fast feedback loops, and genuinely unsolved problems is what you are looking for.
• Defining what a system should be is more compelling than maintaining what already exists. 

About the role

The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.

Open Problem
An interview that thinks, listens and gets it right every time.

Running an interview is easy. Running a good one is hard.

Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.

Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.

Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.

That is where the field currently falls short. Closing that gap is the work.

What you'll do

• Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
• Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
• Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
• Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
• Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
• Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.

Who you are

• You have built and shipped agentic or conversational AI systems in production, not just prototypes.
• You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
• You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
• You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.

Even better if you have

• Experience building multi-turn conversational agents or interview-style AI systems.
• Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
• Background in dialogue systems, conversational evaluation, or rubric-based scoring.
• Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.

You will thrive in this role if

• You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has. 
• You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.

About the role

Hiring is one of the most consequential decisions a company makes. 3,000+ enterprises rely on HackerRank to get it right. We are now reinventing how that works for the agentic era. The integrity of that system is not a feature. It is the foundation.

Open Problem
The fraud gets smarter every quarter. The models have to keep up.

Integrity isn't about whether you use AI or not; it's about whether you are following the rules. Our integrity system is a portfolio of signals spanning vision, code analysis, browser telemetry, and behavioral sequences. Each signal is independently trained, operates on a different modality, and has its own precision-recall tradeoff and failure distribution. That heterogeneity is not a design choice we made lightly. It reflects the fact that no single modality is sufficient, and that the most informative signal depends heavily on context. A model at 92% precision on today's proxy attempt patterns can sit at 74% within two quarters, not because the model degraded, but because the attack surface shifted and the training distribution did not.

The fusion problem is where current approaches hit a ceiling. Naive aggregation across signals does not work because the signals are not independent and their reliability varies with context. What is needed is calibrated uncertainty at the signal level, a principled way to weight evidence depending on conditions, and the ability to detect when a signal has drifted out of its reliable operating range. The field has good solutions for static multimodal fusion. It does not have good solutions for adversarially non-stationary multimodal fusion where the ground truth labels are expensive, delayed, and partially unobservable.

Latency adds a constraint that rules out many otherwise viable architectures. Inference runs during a live assessment, which bounds what is deployable regardless of accuracy. That means the model quality problem and the systems problem have to be solved together, not sequentially. And the system has to generalize across populations and environments it was not trained on, without encoding the kinds of demographic biases that make a technically accurate classifier practically indefensible.

The honest summary: the current generation of integrity tooling, ours and the market's, has a precision ceiling that the next wave of fraud techniques will break through. Raising that ceiling requires building past what exists, not fine-tuning it.

What you'll do

• Standardize how model quality is defined, measured, and reported across all integrity signals. Build the evaluation infrastructure, golden datasets, and benchmarking pipelines that give us and our customers genuine confidence in what we ship
• Own the performance improvement strategy for each signal. Explore newer architectures, emerging research, and different training paradigms. The approach will not be one-size-fits-all; it will be grounded in each signal's maturity, data quality, and what the science actually supports
• Define the ML strategy for new signals from scratch: audio analysis, gaze tracking, behavioral anomalies. Set the architecture, data requirements, and a clear bar for what production-ready looks like before anything ships
• Continuously monitor how assessment fraud tooling is evolving. Evaluate new models as they emerge. Know when to abandon a strategy that is no longer moving the needle
• Systematically surface edge cases, build training data around them, and turn every customer-reported failure into a model that is harder to fool
• Drive strategy-level decisions: which new signals to build, whether to use models at all, and what the evidence says

Who you are

• You have shipped ML systems in production that real users and real businesses depend on
• You have deep intuition for where precision leaks happen and how to find them systematically, not by luck
• You think in systems. A signal's accuracy number, its data pipeline, its serving infrastructure, and its customer-facing outcome are one problem to you
• You care as much about evaluation methodology as model performance. You know that a metric measured wrong is worse than no metric
• You are genuinely curious about adversarial dynamics. The fact that your model will be attacked is interesting to you, not exhausting

Even better if you have

• Experience with multimodal systems in production: vision, audio, or behavioral signal pipelines
• Background in adversarial ML or fraud/anomaly detection
• Publications or open-source work in detection, robustness, or model evaluation
• Prior experience defining what production-ready means for a new signal category from scratch

You will thrive in this role if

• You find the performance improvement  problem as interesting as the model problem. 
• You are energized by adversarial environments where the threat landscape shifts under your feet and the only valid response is to stay ahead of it. 
• You do not inherit clean problems and optimize within them. 
• You define what the problem even is, and you hold yourself to a higher bar than the one the market has set.

About the role

How developers were evaluated previously was whether they can write functionally correct code. How developers are being evaluated now is whether they can orchestrate AI to accomplish the task while still having the fundamentals underneath. That shift, between what used to matter and what matters now, is exactly the problem this role is hired to solve.

Open Problem
How do you measure skill when AI is already in the room?

Software engineering has moved from writing code to using AI to solve problems. That shift sounds simple. The implications for assessment are not. This is not just a take-home assignment problem. It spans live interviews, async assessments, AI-assisted coding environments, pair programming with agents, and every other context in which someone is trying to figure out how good a developer actually is. The tools developers use are changing fast. The frameworks we use to evaluate them have not kept up.

For over a decade, skills-based hiring relied on deterministic evaluation: a candidate's code either passed test cases or it did not. The score was binary and reproducible. What replaces it is genuinely unsolved. Nobody has cracked how to fairly assess human skill in a world where AI assistance is ambient and invisible, where the question is no longer "can you write this function" but "how effectively do you use AI to solve a real problem."

We are moving from a deterministic evaluation to evaluation by a council of LLMs. But making that consistent, scalable, and defensible across hundreds of thousands of assessments is a hard research and engineering problem. How do you ensure the same rubric is applied the same way to the 200,000th candidate as to the first? How do you detect when your evaluation model is drifting? How do you explain a score to a candidate who believes they were assessed unfairly?

HackerRank sits at the center of this problem with a rare combination of scale, longitudinal data, and direct relationships with the companies making hiring decisions. The opportunity here is to define what rigorous, fair, and meaningful skill evaluation looks like in the agentic era. That methodology does not exist yet. This role exists to build it.

What you will do

• Build LLM-powered evaluation pipelines that assess AI usage skills consistently, fairly, and at production scale.
• Own the evaluation methodology end to end- what the rubric is, how the model applies it, how you measure whether it is being applied correctly, and how you audit for bias.
• Design and run experiments to determine what good evaluation actually looks like. The answer is not known. You will be finding it.
• Build RAG pipelines and fine-tuning workflows that make evaluation models adhere reliably to the rules we set for them.
• Define the benchmarking infrastructure: how we know when our evaluation quality has improved, and how we catch regressions before candidates do.
• Translate model behavior into outcomes that product managers, enterprise customers, and candidates can understand and trust.

Who you are

• You have shipped LLM-powered systems in production where consistency and reliability were hard constraints, not nice-to-haves.
• You think as rigorously about how you measure your model as about the model itself. A poorly constructed eval is a worse outcome than a weaker model.
• You have a research mindset. You are comfortable operating in a space where the right methodology does not exist yet and needs to be invented.
• You think in systems. The data pipeline, the model, the serving layer, and the rubric it enforces are one problem to you.
• You can defend ML judgment in plain language to people who are not ML engineers, because the translation layer is part of the job.

Even better if you have

• Experience building evaluation frameworks for generative or conversational AI systems.
• Background in educational assessment, psychometrics, or human-in-the-loop evaluation at scale.
• Publications or open-source contributions in LLM evaluation, benchmarking, or alignment.
• Prior work at the interface of research and product, where you had to ship science, not just publish it.

You will thrive here if

• You find the measurement problem as interesting as the model problem, maybe more interesting. 
• You hold evaluation methodology to the same standard as model performance, and you are uncomfortable shipping something you cannot explain. 
• You want your work to define what good looks like in a field that is just now figuring that out.

About the role:

At HackerRank, content is how we shape the conversation around skills-first hiring, developer growth, and the future of technical talent. As a Content Writer, you will own the full journey from brief to published  writing LinkedIn posts, Twitter threads, product narratives, scripts, and long-form pieces that are sharp, specific, and built for audiences who can tell good writing from filler. 

What you’ll do

• Write across formats LinkedIn posts, Twitter/X threads, product narratives, video scripts, and long-form editorial  moving from brief to polished draft without needing multiple alignment rounds.
• Use Claude Code, ChatGPT, or similar AI tools to accelerate first drafts, then edit aggressively for voice, specificity, and stakes.
• Build content as a system develop pillar topics, maintain narrative arcs across a content calendar, and design pieces for reuse across channels.
• Adapt tone and message for distinct B2B audiences  CHROs, engineering leaders, recruiters, and developers  without collapsing them into the same corporate voice.
• Attend events, offsites, and customer conversations as an active listener and input-gatherer, turning those signals into content that reflects real stakes.
• Collaborate directly with product, marketing, and sales teams to translate roadmap updates, customer insights, and campaign themes into compelling copy.

Who you are

• 2–5 years of content writing experience in a B2B SaaS, tech, or developer-tools environment, with a portfolio that shows range across formats.
• Strong instinct for audience segmentation and you write differently for a CHRO than for an engineering leader, and it shows.
• Proven ability to hold strategy and execution simultaneously: you can take a content brief and run with it, without four rounds of alignment.
• Comfortable with AI writing tools (Claude, ChatGPT, Notion AI) as part of your daily workflow and you use them to go faster, not to avoid thinking.
• Skilled at building content systems, not just one-off pieces you think about pillar topics, reuse, and narrative arcs across a calendar.

Even better if you have

• Experience writing for developer or HR tech audiences  you understand what resonates with people who can smell a generic take from a mile away.
• Familiarity with SEO fundamentals and content distribution strategy, not just production.
• A background in or strong interest in the talent, hiring, or skills-development space.
• Experience building or contributing to a content calendar from scratch, not just executing against one.

You will thrive in this role if

• Being in the room matters to you. Customer calls, events and off-sites are inputs, not distractions.
• Content is infrastructure in your mind, not just output system, reuse and long-term narrative come before the first word.
• Fast iteration is your default shipping a draft that is 80% there beats waiting for perfection.

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

About the role

As a Technical Support Engineer, L1, you are the customer’s first point of contact at HackerRank. You own the first response on every inbound ticket, resolve what you can independently, and escalate what you can’t with full context and accurate triage.

This is also the entry point into a defined engineering progression. TSEs who build strong technical depth and communication discipline have a clear path to the next level. The best TSEs take pride in triage accuracy, queue health, and the quality of every customer interaction, understanding that their work is the foundation everything else depends on.

What you’ll do

• Own first response on all inbound tickets within SLA
• Resolve product usage questions, configuration issues, and standard troubleshooting independently, without escalating to the next level.
• Triage and escalate issues or complex tickets to TSE 2 with complete context: reproduction steps, relevant logs, and a clear description of what has been tried
• Monitor the queue actively during your shift and flag stalled tickets or anything at risk of an SLA breach before it happens
• Maintain ticket hygiene end-to-end: accurate tags, complete closure notes, and no tickets left in limbo
• Use AI tools actively to resolve tickets faster, identify similar past issues, and document solutions in a way that makes the whole team faster
• Contribute to the knowledge base.
• Work as part of a team that provides 24x7 global customer coverage. This role operates on a rotational shift schedule covering mornings, evenings, and weekends.

What we’re looking for

Technical

• 0 to 3 years of experience in a technical support or customer-facing technical role. Strong freshers with demonstrated technical aptitude are welcome
• Basic understanding of REST APIs: HTTP methods, status codes, and how to read a request/response
• Ability to read and interpret logs, browser developer tools, and error messages to understand what happened before escalating
• Familiarity with SQL: enough to write and run a basic query or understand what a query is checking
• Comfortable using AI tools to accelerate investigation and resolution, not just for drafting responses

Customer and Communication

• Clear, professional written communicator in English. 
• SLA-aware. You understand what Priority and Severity mean and you act before a breach, not after
• Calm under pressure. 
• Empathetic and composed in difficult customer interactions. You do not escalate tension, you de-escalate it

Mindset

• Genuinely curious. You want to understand how things work, not just route tickets
• Sound triage judgment. You know the difference between something you can solve and something that needs deeper expertise.
• Ownership instinct. The queue is yours during your shift, not just the tickets assigned to you
• Ready to grow. You see this role as the foundation of a technical career, and you actively work towards TSE 2

Even better if you

• Have experience with Pylon, Zendesk, Freshdesk, or similar ticketing and queue management tools
• Have used Postman or similar tools to test or inspect API calls
• Have a background in SaaS platforms, HR tech, developer tools, or assessment platforms
• Have built anything: a script, an automation, a tool, even if small, even if just for yourself

The right fit

You take ownership before you’re asked to, communicate clearly even when you don’t have all the answers, and treat every ticket as an opportunity to get better. You understand that world-class support is not just about resolving tickets. It’s about making customers feel confident in HackerRank, and that starts with you.

About the role

HackerRank's Content Studio is building a production function that moves at the speed of ideas. As our Video Editor, you'll own the full post-production process across formats and platforms, from LinkedIn clips and YouTube explainers to event highlights and executive content. This is not a support role. You'll be a creative decision-maker who ships finished work, uses AI tools to compress timelines, and raises the bar on what in-house video can look and feel like.

What you’ll do

• Edit across formats, including short-form social, long-form YouTube, event recaps, and product content, adapting pacing and energy for each platform without a separate brief
• Work directly from raw footage, rough briefs, or messy transcripts and make confident creative calls without needing hand-holding
• Use AI-powered tools (Runway, Descript, Kapwing, Remotion, or equivalents) to reduce turnaround time while maintaining quality
• Operate in our Bangalore studio with real gear: hi fidelity cameras, VP screen, and broadcast-grade audio 
• Turn around same-day cuts, respond to async feedback, and move through iterative review cycles without losing momentum
• Build and maintain a library of reusable templates, motion elements, and brand-consistent MOGRT assets that reduce repeat effort
• Manage and brief external editors when volume demands it, maintaining quality and consistency across everything that ships
• Collaborate closely with the Studio Production Manager, Product teams and cross-functional stakeholders to align on goals before the first frame is cut

Who you are

• You think in stories first and timelines second. The edit is a creative act, not a technical one, for you
• You're fluent in at least one major NLE (Premiere, DaVinci, CapCut) and know your way around the AI tools that are reshaping post-production and have done this for 2+ years without getting bored. 
• You understand what makes content work on LinkedIn, YouTube, and short-form platforms, and you make format-specific decisions instinctively
• You work well in tight feedback loops. Iterative cuts, last-minute changes, and async reviewer comments don't break your rhythm
• You take ownership. If something isn't landing, you flag it and propose a fix rather than waiting to be redirected
• You communicate clearly with non-editors. You can explain a creative choice without jargon and take direction without losing your point of view
• You're organized under pressure. Multiple projects, overlapping deadlines, shifting priorities: you have a system and you use it

Even better if you have

• Light motion graphics or basic animation skills that reduce dependency on external studios
• Experience shooting or editing executive or thought leadership content, where the story lives in the subtlety
• Familiarity with Remotion, Claude Code, or other programmatic video tools that push beyond traditional editing workflows

You will thrive in this role if

• You'd rather ship a good cut today than wait for a perfect brief tomorrow
• You see AI tools as a creative accelerator, not a shortcut or a threat
• You find energy in a fast-moving, small team where your output is visible and your decisions actually matter

About the role

We are looking for a Lead Frontend Engineer to own the frontend craft for the “candidate site” or the take-home assessment product. You will work on a React/Next.js and TypeScript codebase that is required to perform reliably under real-world conditions at a significant scale. Performance, accessibility, and reliability are treated as core product attributes rather than secondary concerns because the quality of this experience directly affects whether a developer can demonstrate their true ability.

Beyond the core product, this role sits at the centre of HackerRank's AI-era shift. You will contribute to building AI-powered assistants that help candidates inside the assessment experience, and work alongside a broader engineering push to embed AI agents across the internal SDLC  engineering, QA, review, and delivery. Paid access to leading AI development tools is standard, and applied AI work here is production-bound rather than experimental.

What you’ll do

• Lead the development of intuitive, scalable user experiences across the hiring journey in close partnership with product and design.
• Architect and build reusable frontend systems and component libraries that scale across HackerRank products.
• Set and uphold high standards for performance, accessibility, testing, and overall code quality.
• Contribute to building AI-powered assistants in the candidate experience and to internal AI agents that speed up the team's engineering workflows.
• Own and continuously improve key web performance metrics such as Core Web Vitals and responsiveness.
• Collaborate cross-functionally to influence product direction and elevate user experience.
• Mentor engineers and drive end-to-end ownership of features from ideation to production.

Who you are

• An experienced frontend engineer 6–8 years of experience building production-grade frontend applications, with strong expertise in React.
• Deep knowledge of JavaScript, HTML, and CSS, with a sharp eye for detail and accessibility.
• Proven ability to design scalable frontend architectures and reusable component systems.
• Strong understanding of modern frontend tooling, bundling, and performance optimization.
• Comfortable leading projects, mentoring engineers, and collaborating with cross-functional teams.
• Hands-on with AI-native development; ideally has already built or shipped AI-powered features and uses agentic tools as a core part of the workflow.

Even better if you have

• Experience with frontend security and protecting user trust.
• Experience shipping AI-powered product features or working with LLM APIs and agentic tooling.

You will thrive in this role if

• You lead with product thinking and bring deep empathy for real customer problems.
• Turn ambiguity into clarity through structured problem-solving and crisp, high-quality execution.
• AI tools are part of your workflow - helping you move faster, solve smarter, and raise the bar on craftsmanship.

About the role

As a Global AP Lead you will be responsible for managing end-to-end Accounts Payable operations, including preparing and processing vendor payments while ensuring accuracy and compliance. This role involves maintaining accurate records of invoices, payments, and relevant tax documentation, as well as handling virtual card transactions, Expensify reimbursements, prepaid accounts, and fixed assets.

What you’ll do

• Own end-to-end Accounts Payable processes, including receiving and processing vendor invoices with accurate validation of purchase orders, pricing, and payment terms.
• Manage and process transactions across multiple payment platforms, including credit cards, virtual cards, Expensify, and Navan.
• Prepare Accounts Payable proposals and drive timely approvals for vendor payments. Execute vendor payments post-approval while ensuring accuracy and compliance.
• Maintain and reconcile prepaid accounts and the fixed asset register on a monthly basis.
• Build and manage strong vendor relationships, proactively resolving discrepancies, issues, and disputes.
• Collaborate cross-functionally with internal teams to ensure accurate matching of transactions between AP systems and ERP platforms.
• Maintain accurate and audit-ready records of invoices, payments, and all relevant tax and GST documentation.
• Ensure compliance documentation and audit trails are accurate and up to date to support financial reporting.

Who you are

• Accounts Payable professional with 2+ years of experience managing end-to-end AP processes in fast-paced environments.
• Strong foundation in double-entry accounting principles, with the ability to accurately handle complex financial transactions.
• Hands-on experience with AP tools such as Airbase and Expensify, along with working knowledge of NetSuite and Google Sheets.
• Detail-oriented with a high degree of accuracy and ownership in managing invoices, reconciliations, and payment cycles.
• Effective communicator with strong interpersonal skills, capable of collaborating with internal stakeholders and external vendors.
• Bachelor’s degree in Accounting, Finance, or a related field.
• Growth-oriented mindset with a strong willingness to learn and build expertise in accounting and finance functions.

Even better if you have

• Deep understanding of accounting standards, GST compliance, and audit requirements in a high-volume environment.
  
• Experience leading or mentoring AP teams, driving process improvements and operational efficiency.
• Strong experience in managing month-end close activities, reconciliations, and audit readiness.
• Ability to partner cross-functionally with Finance, Procurement, and Operations teams to improve financial accuracy and processes.

You will thrive in this role if you

• Customer-Centric Approach: Engage with vendors to address inquiries on invoicing, cancellations, and refunds.
• Attention to Detail: This AP role needs to be highly detail-oriented to ensure accuracy in processing invoices and payments. 
• Organizational Skills: Efficiently manage dual responsibilities across AP and reimbursement while tracking numerous invoices and payments.
• Process Improvement Mindset: Maintain compliance documentation for audits and identify opportunities to enhance billing accuracy and efficiency.
• Data Management: Update client contact and billing information in ourAP and ERP platforms to ensure accurate and up-to-date records.

About the role

Every day, millions of developers use HackerRank to prove their skills. We're looking for a Senior Backend Software Development Engineer who can drive the technical direction of critical backend systems and lead the delivery of high-impact, platform-level initiatives. You will own the architecture and evolution of core backend services, mentor engineers across teams, and be a key technical decision-maker ensuring our platform remains fast, reliable, and scalable as we grow our global user base.

What you’ll do

• Architect, design, and lead the implementation of complex backend systems and services that power core product experiences at scale.
• Define and drive technical strategy for your domain, making key decisions on system design, technology choices, and long-term architectural direction.
• Own the end-to-end reliability and performance of critical backend services, establishing SLOs, monitoring, and incident response best practices.
• Design scalable API frameworks and data models that serve as foundations for multiple product teams and external integrations.
• Lead cross-functional technical initiatives spanning multiple teams, coordinating with frontend, infrastructure, product, and design stakeholders.
• Identify and drive large-scale refactoring efforts, tackling tech debt and evolving legacy systems into modern, maintainable architectures.
• Mentor and grow engineers on the team through design reviews, code reviews, and hands-on technical guidance.
• Contribute to engineering-wide standards, tooling, and processes that raise the bar for code quality and developer productivity.

Who you are

• Senior backend engineer with 3-6 years of experience building and operating production backend systems at scale.
• Expert in at least one modern backend programming language (e.g., Python, Ruby, Go, Java, or Node.js) with strong fundamentals across the stack.
• Proven ability to design and build distributed systems - you've made meaningful architectural decisions around service decomposition, data consistency, fault tolerance, and observability.
• Deep expertise with relational databases (PostgreSQL, MySQL) and NoSQL stores, including schema design, query optimization, and data modeling for high-throughput workloads.
• Strong understanding of caching strategies (Redis/Memcached), asynchronous messaging (Kafka/RabbitMQ), and event-driven architectures.
• Hands-on experience with containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code practices.
• Track record of leading technical projects from ambiguous problem statements through to production delivery.

AI fluency

• Deep, hands-on proficiency with AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude Code) - you don't just use them, you've developed workflows and best practices around them that you can teach others.
• Strong working knowledge of LLMs and agentic AI systems - you understand model capabilities, limitations, context management, tool use, and can reason about when and how to integrate AI into backend systems.
• Proven ability to leverage AI across the full software development lifecycle: architecture exploration, implementation, code review, test generation, documentation, incident analysis, and technical writing.
• Solid understanding of AI/ML fundamentals: transformer architectures, embedding models, inference optimization, RAG patterns, fine-tuning vs. prompt engineering trade-offs, and evaluation methodologies.
• Ability to evaluate and make technical recommendations on AI tooling, APIs, and integration patterns for your team and domain - including cost, latency, reliability, and security considerations.
• You actively follow developments in AI research and tooling, can separate hype from real engineering value, and drive adoption of AI-augmented practices within your team.

Even better if you have

• Experience designing and operating systems serving millions of concurrent users with strict latency and availability requirements.
• Deep expertise in system design patterns such as Microservices, CQRS, Event Sourcing, or Domain-Driven Design, with real-world application.
• Significant experience with cloud platforms (AWS, GCP, or Azure), including serverless architectures, managed services, and cost optimization.
• Experience building platform-level APIs, SDKs, or developer tools consumed by internal or external engineering teams.
• A history of driving engineering culture improvements - whether through RFC processes, architecture review boards, or engineering blog contributions.

You will thrive in this role if

• You think beyond the immediate task and consider the long-term health, extensibility, and operational cost of the systems you build.
• You take ownership not just of your own code, but of the overall quality and direction of the systems your team delivers.
• You are energized by ambiguity - you can take a loosely defined problem, structure it, and drive it to a well-engineered solution.
• You lead by influence, earning trust through strong technical judgment and a collaborative, ego-free approach.
• You genuinely enjoy making other engineers better through mentorship, knowledge sharing, and raising the engineering bar.

About the role

We’re looking for a Forward Deployed Engineer (FDE) to work onsite with our customers, serving as the primary technical presence in customer engagements, leading pilots, demos, and supporting customer evaluation and successful adoption.  This role blends deep customer engagement with technical execution. 

What you’ll do

• Lead customer-facing engagements, including discovery, pilots, and demos, acting as the primary technical voice in front of prospects and customers.  
• Partner onsite with customers, engineers, recruiters, and business leaders to uncover developer needs, listen with empathy, and shape practical, goal-driven solutions.
• Keep customer projects on track through disciplined execution and proactive updates.
• Use the right tools, including AI when useful, to deliver faster, more reliable outcomes that strengthen HackerRank’s customer experience.
• Collaborate with Product, Engineering, and GTM teams to elevate the voice of the customer. 

Who you are

• A customer-facing technical lead with enough full-stack depth to configure, debug, and explain web applications, integrations, and generate API scripts as needed (Ruby or Python). 
• Confident leading conversations onsite with prospects and enterprise customers while gathering requirements, shaping technical approaches, and delivering results that drive measurable impact.
• A clear communicator who can go deep with engineers or simplify for non-technical crowds.
• A strong operator who plans, executes, and follows through, keeping projects organized.
• You lead with empathy, energy, and a problem-solver’s mindset.

Even better if you have

• Experience as a software, solutions, or sales engineer working with HR tech, ATS platforms, IDEs, developer tools, API-first or integration-heavy systems.
• A track record of seeing projects through from scoping to delivery, balancing customer needs with technical tradeoffs.

You will thrive in this role if

• You love mixing engineering, consulting, and delivery, owning every step of the journey.
• You want every project to feel like a new challenge.
• You set and uphold high standards for excellence for yourself and those around you.

About the team

The Engagement Management team is a small, high-impact group spread across APAC, EMEA, and AMER, dedicated to ensuring the long-term success of our customers. They are laser-focused on delivering customer delight at every touchpoint, ensuring each interaction drives measurable value from HackerRank. Over time, Engagement Managers become trusted advisors- our customers’ go-to partners for anything related to technical hiring. They build deep relationships, understand customer goals intimately, and proactively guide them to achieve outcomes. EMs play a pivotal role as HackerRank’s eyes and ears in the market- capturing trends, feedback, and unmet needs. Their insights are critical in shaping our roadmap and influencing product strategy. Internally, they serve as the voice of the customer, rallying cross-functional teams around customer-centric priorities. This team is not just about managing accounts- it’s about driving transformation, advocacy, and long-term partnership. With a unique blend of empathy, product knowledge, and execution rigor, they are at the heart of HackerRank’s customer success engine.

About the role

The Engagement Manager is a strategic partner to our customers, focused on driving adoption, value, and long-term success with HackerRank. By deeply understanding customer goals and aligning them with our platform capabilities, EMs ensure every interaction contributes to measurable outcomes. They serve as the voice of the customer internally- bringing insights that shape product innovation and strategy. This role is critical to strengthening customer relationships and fueling HackerRank’s growth through retention, expansion, and advocacy.

What you’ll do

• Consult with customers to understand issues and solve problems with expert advice or delivery of projects and programs.
• Deliver Projects that you expertly scope and project manage to a successful conclusion.
• Manage Programs that allow HackerRank to stay engaged with customers for extended engagements in support of customer retention or ongoing managed services.
• Collaborate with and lead teams in support of customer projects and programs.
• Ownership and accountability in delivering Customer Delight throughout all phases of the customer journey.

You will thrive in this role if

• You enjoy taking a consultative approach, being the industry and product expert.
• You are adept at problem-solving and providing expert advice.
• You excel at project and program management, ensuring successful delivery and customer satisfaction.
• You are a strong collaborator and leader, capable of guiding cross-functional teams.
• You are passionate about customer success and dedicated to delivering an exceptional customer experience.
• You are capable of dealing with ambiguity, uncertainty, and the ability to shift gears gracefully.

Who you are

• Engagement Manager with 3-5 years of experience of hands-on delivery in a SaaS environment.
• Excellent organization skills and attention to detail.
• Collaborate with cross-functional teams and deliver projects on schedule.
• Excellent written, verbal, and presentation skills with the ability to effectively explain concepts to both technical and non-technical audiences.
• Expertise in establishing project governance and maintaining peer relationships with customer executives.
• Capability to deal with ambiguity, uncertainty, and the ability to shift gears gracefully.

About the role

We're looking for a Product Manager to drive the product strategy for Screen, HackerRank's core hiring platform. This is a high-impact role where you'll shape how companies evaluate technical talent at scale, working at the cutting edge of AI-powered assessment.

You'll own the future of candidate evaluation—defining how we leverage AI to assess technical skills, problem-solving ability, and collaboration in ways that are both innovative and trustworthy. This is cutting-edge AI evaluation work that's defining new standards for the industry.

The platform operates at significant scale and carries a meaningful technical legacy, serving customers of various sizes, shapes, and needs—from startups running a handful of interviews to enterprises processing thousands of assessments. This isn't about greenfield product work; it's about making sophisticated decisions in a constrained environment and delivering measurable impact.

The role comes with high visibility across the organization, including direct exposure to our CEO, and requires close collaboration with platform teams working on integrity, IDE infrastructure, and AI capabilities.

What you'll do

• Own the product strategy and roadmap for Screen, making critical decisions about how we evolve our core evaluation platform while balancing innovation with platform stability
• Drive AI-first evaluation capabilities, defining what signals matter, how AI can surface insights that human reviewers miss, and how to make evaluation both more effective and more fair
• Navigate technical complexity at scale, working deeply with a team of X engineers (including X staff engineers) and an Engineering Manager to balance technical constraints with user needs
• Balance competing needs across multiple personas—recruiters, hiring managers, and candidates—designing solutions that work across their often conflicting requirements
• Guide customers through platform evolution, spending time understanding their hiring challenges, managing migrations to new experiences, and ensuring we solve real problems
• Collaborate across teams and time zones, working with multiple product and platform teams, and often serving as the bridge between technical complexity and customer value
• Lead with visibility and impact, working directly with senior leadership and driving cross-functional initiatives that shape the future of technical hiring

Who you are

• You've built B2B SaaS products at scale where you balanced competing needs across different user personas and made tradeoffs that worked for multiple stakeholders
• You're comfortable with complex, legacy systems and don't need every problem to be new or sexy—you can get excited about intricate technical challenges and the hard work of improving something that already exists at scale
• You understand the complexity of serving diverse customers—from small teams to large enterprises—and can design solutions that flex across this diversity rather than forcing one-size-fits-all approaches
• You have strong judgment under pressure and can go deep technically when needed, build empathy across different personas, and synthesize complex constraints into clear decisions
• You care deeply about customers and see direct customer engagement not as a chore but as essential input for building the right thing

Even better if you have

• Experience working with legacy systems and driving incremental transformation in constrained environments
• Background in assessment, evaluation, or EdTech products
• Experience with AI/ML product development or integrating AI capabilities into existing platforms
• Track record of managing complex platform migrations while maintaining customer satisfaction

You wil thrive in this role if you

• You're energized by complexity, not overwhelmed by it. The challenge of navigating a legacy platform serving diverse customers excites you rather than frustrates you.
• You're comfortable working globally. This role requires collaboration across multiple time zones, including occasional meetings outside standard hours, and you see this as an opportunity rather than a burden.
• You want high visibility and impact. You're ready to work with senior leadership, including our CEO, and drive decisions that shape how companies around the world hire technical talent.
• You're passionate about the cutting edge of AI evaluation work. You want to be at the forefront of defining how AI changes candidate assessment and you're excited to push boundaries while maintaining trust and fairness.
• You balance deep technical engagement with customer empathy. You can dive into technical constraints with staff engineers one hour and guide a customer through a migration the next, finding energy in both.

About the role

As Engineering Manager - Data, you will lead and grow our Data Engineering team while defining the technical vision for our data platform. You’ll build scalable, reliable systems that power analytics, experimentation, AI models, and executive decision-making across the company.

This is a high-ownership leadership role combining platform architecture, data strategy, and team building.

What you’ll do

• Own and drive the technical roadmap for the Data Engineering team, planning and delivering on a quarterly basis
• Execute product plans and manage delivery commitments with a strong focus on quality and timelines
• Architect and build scalable backend systems, data pipelines, and infrastructure components aligned with 12-factor app principles
• Design and implement robust data warehouses and data strategies for SaaS products
• Define clear quarterly goals for the team and guide execution to achieve measurable outcomes
• Mentor engineers and help them deliver to the best of their abilities
• Set clear career paths for team members and support their professional growth
• Lead technical discussions and help engineers make critical architectural and design decisions
• Partner closely with the Product team to develop and curate the data and platform roadmap

Who you are

• 8+ years of software development experience with 2+ years of engineering leadership experience
• Strong architecture and system design skills with experience building large-scale web services
• Hands-on experience designing and developing backend systems, data pipelines, and infrastructure components
• Deep understanding of cloud-native architectures, especially AWS
• Experience designing and building data warehouses
• Experience in defining and executing a Data Strategy for SaaS products
• Strong technical leadership with the ability to drive critical technical discussions

Even better if you have

• Knowledge of Kafka, Spark, and related data technologies
• Experience with Python, Kubernetes, Docker, and modern deployment technologies

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

About the role

As an Engineering Manager at HackerRank, you will lead the technical vision and execution for the HackerRank Developer Community product used by over 26 million developers across the globe. This role is pivotal in building an engaging, scalable platform that helps developers learn and grow their technical skills.

You will partner closely with Product, Design, and other Engineering teams to ensure that community features are deeply integrated into the HackerRank ecosystem. You will drive the team’s roadmap, mentor engineers, and foster a high-performing environment focused on delivering delightful, high-impact user experiences at scale.

What you’ll do

• Drive the technical vision for  our platform at HackerRank
• Architect systems that can scale to hundreds of thousands of concurrent users
• Execute product plans and manage delivery commitments for user-facing features
• Mentor engineers and help them deliver high-quality, maintainable solutions
• Set clear career paths for team members and support their professional growth
• Work closely with the Product, Engineering and Design teams to develop and curate the community product roadmap

Who you are

• An engineering leader with 8+ years of experience in designing enterprise systems, building highly-available, scalable, fault-tolerant, secure, distributed systems
• 2+ years of engineering management  including hands-on technical management
• Demonstrated experience recruiting and managing technical teams, including performance management
• Self driven, initiative taker with good communication skills, ability to hire, lead and mentor technical teams, meet deadlines, manage stakeholder expectations
• Demonstrated experience of going in front of customers to explain the product and answering any technical queries
• Hands-on technical depth in one or more modern programming languages, we are open to any language with strong emphasis on engineering fundamentals and scalable system design

Even better if you have

• Experience leveraging AI to build developer focused experiences. 
• Designed self-serve developer tools that speed up integration adoption.

You will thrive in this role if

• Enjoy owning initiatives end to end, across the full product lifecycle
• Excel at designing scalable B2C platforms and building APIs and services that are reusable, efficient, and maintainable
• Collaborate closely with developers, product managers, and designers to build solutions that integrate seamlessly into the broader platform
• Are a strategic thinker who can evaluate trade-offs and balance short-term delivery with long-term platform health
• Thrive in fast-paced environments where priorities evolve based on user feedback and insights
• Have a strong bias for action, experimentation, and continuous improvement

About the role

We are seeking a Customer Account Manager who is deeply committed to customer success and passionate about guiding them through every stage of their journey, driving meaningful outcomes and lasting partnerships. This Role is a Hybrid role in Bengaluru. 

In this role, you will be instrumental in shaping HackerRank's vision of prioritizing "skills over pedigree" in developer hiring and career growth. Your contributions will encompass optimizing customers' utilization of HackerRank in their hiring processes. Collaborating seamlessly with colleagues, you will elevate our strategic partnerships with customers. And be responsible for all renewal and expansion and revenue.

What you’ll do

• Own a Book of Business strategy that drives adoption, engagement, measurable value, and growth.
• Build tailored account strategies that guide customers to achieve hiring and talent development goals while ensuring retention and expansion.
• Act as a strategic advisor by leading customer and internal teams, removing roadblocks, and accelerating adoption.
• Cultivate executive and stakeholder relationships to position HackerRank as a critical partner in workforce strategy.
• Proactively manage customer health with check-ins, QBRs, and success planning to ensure seamless renewals and expansions.
• Maintain accurate forecasts and pipeline visibility to align growth opportunities with customer needs.

Who you are

• You bring 3+ years of sales experience with B2B SaaS companies.
• Resilient and persistent. You navigate challenges, solve problems, and keep pushing toward meaningful outcomes.
• Curious and customer-centric. You seek to deeply understand goals, challenges, and industry trends.

Even better if you have

• You can articulate complex ideas clearly, tailor messaging to different audiences, and engage effectively with both customers and internal teams.
• A collaborative mindset. You work seamlessly across teams, bringing together Customer Success, Product, and Sales to ensure customer needs are met.
• Familiarity with developer hiring or technical assessments.
• Skill in engaging HR/Talent and Technical decision-makers to align hiring and workforce planning goals.

You will thrive in this role if

• Enjoy being the Captain - enjoy owning the customer relationship and championing their success.
• Are skilled at engaging HR/Talent & Technical decision-makers, helping them navigate hiring and workforce planning goals.
• Believe in long-term partnerships and being the trusted advisor for your customers.

About the role

As a SDET-II, you will play a critical role in shaping and executing our automation-first quality strategy across web, API and AI-driven systems. You’ll work closely with Engineering and Product teams to ensure that quality is designed into every feature, enforced through strong automation, and protected by strict release gates. This is a hands-on, technically deep role with real ownership and impact.

What you’ll do

• Lead and standardize test automation practices across teams and services
• Design, build, and maintain scalable automation frameworks using Playwright and SerenityJS
• Develop automated test suites in JavaScript/TypeScript for web, API, and workflow validation
• Design and maintain REST API automation using Postman or equivalent tools
• Integrate automation deeply into CI/CD pipelines using Jenkins and/or GitHub Actions
• Enforce mandatory quality gates, blocking releases on automation or sanity failures
• Monitor automation executions, analyze failures, and drive root-cause resolution
• Conduct automation code reviews to ensure consistency, reusability, and maintainability
• Collaborate during design and story elaboration to define acceptance criteria and risk coverage
• Mentor QA and engineering teams on automation frameworks, tooling, and best practices
• Contribute to automation metrics, reporting, and continuous improvement initiatives

Who you are

• 3+ years of experience in QA Automation / SDET roles
• Strong hands-on experience with Playwright and SerenityJS (JavaScript/TypeScript)
• Proficient in JavaScript/TypeScript for building reliable, maintainable automation
• Solid experience in REST API testing using Postman or similar tools
• Hands-on experience with CI/CD automation using Jenkins and/or GitHub Actions
• Having experience working with the Cucumber BDD framework.
• Strong working knowledge of Git (GitHub) and modern version control workflows
• Experience working with Docker and Kubernetes-based environments
• Exposure to Accessibility (A11y) testing, with an understanding of WCAG principles
• Experience with Desktop Automation testing
• Strong understanding of regression, integration, system, and end-to-end testing
• Excellent problem-solving skills with the ability to debug complex automation failures
• Strong communication skills and the ability to influence quality across teams

Even better if you have

• Use AI agents or tools to perform day-to-day activities or to test AI-powered features.
• Familiarity with visual regression testing, cross-browser testing, and performance validation
• Experience designing or contributing to automation metrics and quality dashboards
• Exposure to cloud-native, large-scale SaaS platforms
• Experience mentoring teams and driving the adoption of quality standards across multiple squads

You will thrive in this role if

• Believe quality is a shared responsibility across Engineering, QA, and Product
• Prefer preventing defects through strong automation and release gates
• Enjoy building systems that scale, rather than relying on manual effort
• Comfortable enforcing 100% pass-rate mandates for critical workflows
• Like working on complex systems involving CI/CD, containers, and AI-driven logic
• Care deeply about reliability, trust, accessibility, and real-world user experience

About the role

As a SDET, you will play a critical role in shaping and executing our automation-first quality strategy across web, API and AI-driven systems.

You’ll work closely with Engineering and Product teams to ensure that quality is designed into every feature, enforced through strong automation, and protected by strict release gates. This is a hands-on, technically deep role with real ownership and impact.

What you’ll do

• Design, build, and maintain scalable automation frameworks using Playwright and SerenityJS
• Contribute to the enhancement and scalability of existing automation frameworks
• Build and maintain REST API automation using Postman or equivalent tools
• Integrate and maintain automated test execution within CI/CD pipelines (e.g., Jenkins, GitHub Actions)
• Investigate test failures, perform root cause analysis, and collaborate with engineering teams to resolve issues
• Ensure automated test coverage aligns with defined acceptance criteria and release requirements
• Participate in automation code reviews to maintain consistency, readability, and maintainability
• Support execution of regression, integration, and end-to-end test suites across environments
• Collaborate during story refinement and design discussions to identify test scenarios, risks, and edge cases
• Contribute to automation reporting, metrics, and continuous quality improvements
• Work closely with cross-functional teams to promote quality best practices

Who you are

• 2+ years of experience in QA Automation / SDET roles
• Strong hands-on experience with modern automation frameworks (Playwright preferred)
• Proficiency in JavaScript/TypeScript for building maintainable test automation
• Solid understanding of REST API testing concepts and tools such as Postman
• Experience integrating and running automated tests within CI/CD pipelines
• Familiarity with BDD practices and frameworks such as Cucumber
• Working knowledge of Git and modern version control workflows
• Experience working in containerized environments (e.g., Docker); exposure to Kubernetes is a plus
• Understanding of regression, integration, system, and end-to-end testing principles
• Ability to debug automation failures and analyze application issues effectively
• Strong communication skills and ability to collaborate with developers and product teams

Even better if you have

• Exposure to accessibility testing and understanding of WCAG principles
• Experience with visual regression or cross-browser testing
• Familiarity with cloud-native or SaaS-based platforms
• Exposure to AI-assisted testing tools or testing AI-driven features
• Experience contributing to automation dashboards or quality metrics

You will thrive in this role if

• Believe quality is a shared responsibility across Engineering, QA, and Product
• Prefer preventing defects through strong automation and release gates
• Enjoy building systems that scale, rather than relying on manual effort
• Comfortable enforcing 100% pass-rate mandates for critical workflows
• Like working on complex systems involving CI/CD, containers, and AI-driven logic
• Care deeply about reliability, trust, accessibility, and real-world user experience

About the role

This is a senior IC role for a backend specialist who can alternate between two operating modes: (1) shaping platforms that many product teams build on, and (2) diving deep with a team to crack a hard, high-stakes technical problem. You will also build AI-native capabilities into our platform (LLM orchestration, evaluation, cost and latency controls, guardrails), build novel systems, and raise the reliability, performance, and developer experience across services.

You will partner across multiple product groups, write crisp technical strategy, and be the engineer others look to for judgment, taste, and depth.

What you’ll do

• Align engineering roadmap with business outcomes. Translate company goals and customer needs into a technical roadmap. Communicate trade-offs and decisions in plain language
• Design and evolve core platforms for APIs, data, and AI that are scalable, observable, secure, and cost-aware ( thousands of concurrent assistant sessions, bursty traffic).
• Embed AI as a first-class concern: request orchestration, evaluation harnesses, guardrails and safety, prompt and data governance.
• Partner to deliver impact: Work with product managers and, when needed, customer-facing teams to drive impact.
• Mentor: raise the bar through reviews, design reviews, and hands-on pairing; be a model others emulate.

Who you are

• Backend/platform engineer with over 8 years of experience building and operating production-grade services with clear ownership of outcomes.
• Strong in system design and distributed systems, with hands-on experience across cloud platforms (AWS/GCP), containers & Kubernetes, Infrastructure as Code (Terraform), and CI/CD automation.
• Depth in one or more of Go, Java, Ruby, Python, or JavaScript, and ability to quickly learn new languages and frameworks.
• Proficient with Postgres/MySQL and NoSQL databases, and experienced in event-driven architectures using Kafka or similar for streaming and async 
• Excellent communicator who writes clear documentation, explains trade-offs simply, mentors peers, and influences across teams without direct authority.

Even better if you have

• Exposure to AI systems in production such as LLM gateways, prompt or model evaluation and  guardrails.
• Experience improving developer experience across the company.
• Public artifacts such as design write-ups, talks, or OSS contributions.

You’ll thrive in this role if

• You communicate with clarity and empathy, engaging both technical and non-technical stakeholders to build shared understanding and drive complex decisions forward.
• Balance long-term decisions with fast, incremental delivery.
• Care about developer experience as much as raw performance and reliability.

About the role

Information Security at HackerRank is responsible for protecting our platform, our customers, and our employees - while enabling teams to build and ship with confidence. We work closely with Engineering, Product, GTM, IT, and Legal to ensure security is embedded into how we operate, not layered on after the fact.

This is a senior leadership role responsible for owning HackerRank’s information security function end-to-end. You’ll set direction, build and lead the team, and be the primary security partner to Engineering, Product, and Go-To-Market teams. You’ll help customers and prospects feel confident sharing their data by providing reliable information and following through with internal teams.

You’ll work closely with Go-To-Market (GTM), product, engineering, and IT teams to complete customer security questionnaires, respond to follow-up questions, and support day-to-day security operations. This role contributes to improving HackerRank’s security posture through execution, documentation, and collaboration.

The Director of Information Security will lead and scale HackerRank’s global information security function, managing the Information Security team, setting and executing security strategy, driving risk management, and ensuring the security of our technology, data, and customer environments.

This role operates globally and partners closely with the PED team, Product, Engineering, IT, GTM, and Customer teams to align security strategy with business objectives, mitigate risk, and enable secure growth. The Director will also represent HackerRank’s security posture in customer and executive-facing discussions.

What you’ll do 

Security Strategy & Ownership

• Own HackerRank’s information security strategy across application security, cloud security, data protection, and incident response
• Set clear priorities, standards, and expectations for how security operates across the company
• Anticipate future risks as the business, product, and customer base scale

Customer Trust & GTM Partnership

• Act as a senior, customer-facing security leader in sales cycles, renewals, and security reviews
• Own responses to complex customer security questionnaires and escalations
• Partner closely with GTM leadership to unblock deals while maintaining a high security bar

Leadership & Team Building

• Lead and grow the information security team, including hiring, mentoring, and performance management
• Create clear ownership across security operations, compliance, and risk
• Build strong working relationships with Engineering, Product, and IT leadership

Compliance & Risk Management

• Own and evolve compliance programs (e.g., SOC 2, ISO 27001 / 42001, GDPR)
• Lead audits, risk assessments, and remediation efforts with clarity and follow-through
• Translate risk into clear, actionable decisions for business and technical leaders

Execution & Incident Readiness

• Ensure strong day-to-day security operations, including monitoring, vulnerability management, and incident response
• Lead response to security incidents and post-incident reviews when required
• Drive continuous improvement through better tooling, automation, and processes

Who you are

• Bring 10+ years of experience in information security, with experience leading security programs or teams
• Strong background in SaaS, cloud-native, or product-led companies
• Experience in setting up security frameworks and compliance standards (SOC 2, ISO, GDPR, NIST)
• Experience partnering closely with Engineering, Product, and GTM teams
• Calm, clear communication - especially in high-stakes or ambiguous situations
• Bonus: Experience scaling security in a fast-growing SAAS company

You will thrive in this role if you:

• Are comfortable owning security decisions and explaining trade-offs to senior leaders
• Enjoy being customer-facing and representing security with clarity and confidence
• Can balance pragmatism and rigor - protecting the company without slowing it down
• Know how to move teams through influence, not fear or bureaucracy

About the role

The Integrity team safeguards trust in HackerRank’s assessments, ensuring customers can rely on results without worrying about misuse or integrity gaps. With the rise of LLMs and other tools designed to game online evaluations, building robust and scalable integrity solutions has never been more critical.

As a Senior Frontend Engineer, you’ll play a key role in designing and building the platform that powers trustworthy assessments for millions of developers worldwide. You’ll craft solutions that not only detect and prevent misuse but also deliver a seamless, world-class developer experience. These systems must scale to support over 100K concurrent users, balancing performance, reliability, and usability. Your work will directly shape how candidates, recruiters, and hiring managers experience HackerRank.

What you’ll do

• Improve workflows and user experiences for candidates, recruiters, interviewers, and hiring managers - in collaboration with product and design.
• Build reusable, scalable frontend components that integrate seamlessly across HackerRank products.
• Champion frontend engineering best practices - performance, accessibility, testing, and code quality.
• Regularly measure and optimize key web performance metrics.
• Collaborate with cross-functional teams to raise product quality and user experience.
• Mentor and guide junior engineers and interns.

Who you are

• An experienced frontend engineer with 4+ years building production-ready React applications.
• Strong in JavaScript, HTML, and CSS, with a sharp eye for accessibility and detail.
• Familiar with the modern frontend ecosystem - from Webpack and Babel to build tooling and bundlers.
• Someone who treats testing and debugging as part of the craft, not an afterthought.
• Confident in browser fundamentals, performance tuning, and building responsive interfaces.
• Open to AI-native tools that help you move faster, write better code, and raise the bar.

Even better if you have

• Experience with frontend security and protecting user trust.
• Exposure to TypeScript and frameworks beyond React.
• Comfort working with backend APIs and platform-level integrations

You will thrive in this role if

• You lead with product thinking and bring deep empathy for real customer problems.
• You turn ambiguity into clarity through structured problem-solving and crisp, high-quality execution.
• AI tools are part of your workflow - helping you move faster, solve smarter, and raise the bar on craftsmanship.