At HackerRank, we are on a mission to change the world to value skills over pedigree . We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do. We don t see velocity and quality as tradeoffs; both matter. If you take pride in high-impact work and thrive in a driven team, HackerRank is where you belong. About the team The Infra team runs the core engines behind every HackerRank assessment. We own Coderunner, the service that compiles, executes, and scores all coding and database submissions - tens of millions of runs each month. Our LSP infrastructure drives the autocomplete and autosuggest features candidates rely on for speed and accuracy. We also deliver the unified IDE used across Screen, Interview, SkillUp, Engage, and Community, giving candidates a smooth space to show their best work. Looking ahead, we are building an AI-powered platform to help our content team ideate, generate, validate, and publish new challenges faster than ever. About the role As a Senior Full-Stack Engineer on the Infra team, you ll work across all of our critical projects. Because our charter cuts horizontally through HackerRank, every feature, fix, or optimisation you release improves multiple product lines at once. You will design, build, and operate scalable systems on both the front end and the back end, owning each change from design and code through tests, metrics, and rollout. You ll partner with product and design, mentor junior engineers, and deliver improvements that reach millions of developers in hours - not months. What you will do - Build and ship front-end features, then integrate them with back-end services. - Boost the IDE s speed, accessibility, and usability across Screen, Interview, SkillUp, Engage, and Community. - Keep core platform services fast and reliable while processing tens of millions of submissions each month. - Embed LLMs and other AI agents into both UI flows and public APIs. - Write design docs, unit and integration tests, dashboards, and alerts for every change you own. - Review code, mentor junior engineers, and share knowledge through pairing and short talks. - Work with product and design to turn rough ideas into scoped, testable stories. - Join the on-call rotation, resolve production issues end-to-end, and leave the system stronger after each incident. You will thrive in this role if you - Own the whole flow. You re happy to take a Figma mock-up, build the UI, hook it to an API, write tests, and watch the metrics after launch. - Use AI as leverage. Cursor, Claude, ChatGPT, or your own prompts speed up routine work - and you always verify the output before merging. - Write things down. Clear design notes, API contracts, and post-mortems come naturally, so the team learns even when you re offline. - Chase measurable wins. Lowering latency, raising accessibility scores, and shrinking error rates motivates you more than adding shiny tech. - Mentor by example. You enjoy code reviews, pairing, and short tech talks that lift junior engineers and interns. - Learn quickly. A new cloud service, testing tool, or LLM framework is an opportunity, not a hurdle. - Care about developer impact. Helping millions of candidates show their best code feels rewarding, not abstract. What you bring - 3-6 years shipping production software, front end and back end. You have owned code in production, not just assisted. - Expertise in React / Next.js with TypeScript plus one server language. Go, Node, or Python preferred; Java acceptable. Your portfolio shows complex SPAs or SSR apps and matching REST / gRPC APIs, with typed patterns and modern React hooks. - Proven micro-service design and tuning. You have broken monoliths, added queues, or pushed a service to hundreds of requests per second and kept the metrics to prove the gain. - Daily use of AI development tools. Cursor, Copilot, ChatGPT, Claude, or similar speed up your coding, testing, and documentation. - Strong SQL and NoSQL skills. You choose the right data model, add indexes, rewrite slow queries, and can quote the performance boost. - Bonus: Hands-on Docker / Kubernetes and cloud deployments. You package, roll out, and roll back services in AWS, GCP, or Azure without waiting on DevOps. - Bonus: Built-in observability mindset. Logs, metrics, and traces go in with the feature. You have real-world wins using Prometheus, Grafana, Datadog, or New Relic. 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. Linkedin | X | Blog | Instagram | Life@HackerRank | 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.

At HackerRank, we are on a mission to change the world to value skills over pedigree . We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do. We don t see velocity and quality as tradeoffs; both matter. If you take pride in high-impact work and thrive in a driven team, HackerRank is where you belong. About the Team: HackerRank s Machine Learning team is working on the cutting edge of AI. We re actively researching and building solutions for a number of exciting initiatives, including plagiarism detection within our Integrity Workstream, how LLMs perform across the SDLC via our ASTRA evaluation harness and benchmark, the types of datasets that can further improve LLMs on software engineering tasks, and finally how far we can take software development agents with our rich datasets. About the Role: As the leading software developer assessment platform, maintaining our platform s integrity is critical. HackerRank s ML Team is working to leverage machine learning and AI solutions to build industry-leading plagiarism detection solutions. As an ML Scientist III, based in Bangalore, you ll be working closely with the Integrity Product & Engineering team to deliver robust and scalable ML and AI-powered solutions for complex integrity problems. You ll also be a key part of developing HackerRanks Machine Learning practice across our products, with a heavy emphasis on technical & thought leadership for machine learning and AI solutions. What youll do: Identify business opportunities best suited for machine learning and set the score, vision, and strategy to execute those opportunities. Set the foundations and define best practices for machine learning efforts at HackerRank. Identify opportunities and drive improvements to existing machine learning efforts. Productionize machine learning models, for example, by balancing model performance with memory and latency requirements. You will thrive in this role if you: You are rigorous about applying strong machine learning fundamentals to problems, meaning that you don t jump to an ML-based solution if one isn t needed. You know how to set up and quickly execute a number of experiments to figure out the right solution. You ve got a good balance of software and ML skills, and aren t afraid to do some hands-on data labelling yourself. You care deeply about customer satisfaction and take ownership of understanding the products you re working on. You thrive in a high-ambiguity environment that requires a lot of collaboration with peers across functions. What you bring: Advanced degree (Masters) in Computer Science, Machine Learning, Data Science, or a related field. Overall, 5+ years of experience as a Machine Learning Scientist or a similar role. Proven experience in machine learning, with a strong emphasis on classical and statistical methods as well as deep neural networks & a strong background in math & statistics for machine learning applications. Experience in full ownership of the machine learning model lifecycles, including data preparation and system deployment. Experience developing medium to large-scale data pipelines. Demonstrated experience in preparing datasets and conducting evaluations of machine learning models. Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) . Being up to date on recent advances in machine learning, and identifying relevant papers and opportunities. Bonus: Experience in benchmarking and performance evaluation of LLMs & designing high-scale data pipelines. Bonus: Published research in relevant fields. Bonus: Familiarity with coding challenges and competitive programming. 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. 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.

At HackerRank, we are on a mission to change the world to value skills over pedigree . We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do. We don t see velocity and quality as tradeoffs; both matter. If you take pride in high-impact work and thrive in a driven team, HackerRank is where you belong. About the team: Our BI & analytics team is driven by a clear mission to provide actionable insights for business growth. Recent Achievements: The team has powered the 2025H2 planning cycle centered on well-researched and relevant product adoption and revenue attribution metrics. Further, the GTM analytics team has made significant improvements in Revenue Reporting, Customer Journey, and other root cause analysis for the Self-serve channel, which was previously underserved analytically. Collaboration Style: Collaboration is at the heart of how we work. We seamlessly balance synchronous and asynchronous methods, enabling us to work cohesively as a team while respecting individual workflows. This approach fosters efficiency and inclusivity in tackling tasks together. About the role: As an Analytics Engineer, you will play a pivotal role in transforming raw data into actionable insights by building scalable data models and ensuring robust governance practices. You will collaborate with cross-functional teams to deliver high-quality datasets while supporting data governance initiatives such as maintaining data dictionaries, tracking lineage, and managing changes effectively. What you ll do: Data Engineering & Modeling - Build and maintain scalable data models to transform raw data into analytics-ready datasets. - Develop reusable SQL queries and modular pipelines using tools like dbt (Data Build Tool). - Optimize database schema designs for performance and maintainability. Data Governance - Create and maintain comprehensive data dictionaries with consistent naming conventions. - Track data lineage to document how data flows through systems and assess the impact of changes. - Implement change management protocols for updates to data models or pipelines, ensuring proper testing and communication with stakeholders. Collaboration & Stakeholder Management - Partner with the Analytics team to understand requirements and translate them into technical solutions. - Collaborate with Engineering teams on instrumentation and tracking improvements. - Provide documentation and training on new datasets or processes to enable self-service analytics capabilities You will thrive in this role if: Technical Skills - Strong proficiency in SQL for writing scalable queries and advanced transformations (e.g., window functions). - Hands-on experience with dbt for managing data transformations and testing frameworks. - Proficiency in Python for automating workflows and managing dependencies. - Familiarity with modern data warehouse platforms (e.g., Snowflake, BigQuery). Governance Expertise - Experience maintaining data dictionaries and establishing consistent documentation practices. - Knowledge of tools/processes for tracking data lineage across systems. - Proven ability to implement and manage change management protocols for datasets or pipelines. Soft Skills - Strong communication skills to translate technical concepts into business-friendly language. - Ability to work collaboratively in cross-functional teams while managing competing priorities. - Problem-solving mindset with a focus on delivering business-relevant insights. What you bring: 2-4 years of experience in analytics engineering or a related field (data engineering or BI development). Solid understanding of data modeling principles and best practices for analytics use cases. Experience working in collaborative coding environments using Git-based workflows (e.g., code reviews, CI/CD pipelines) Experience with Spark, Spark Structured Streaming (Scala Spark) Experience with database technologies like Redshift or Trino Experience with ETL Design & Orchestration using platforms like Apache Airflow, MageAI etc is a big plus Experience querying massive datasets using Languages like SQL, Hive, Spark, Trino Experience with performance tuning complex data warehouses and queries. Able to solve problems of scale, performance, security, and reliability Self-driven, an initiative taker with good communication skills, and work with cross-functional teams 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. 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.

At HackerRank, we are on a mission to change the world to value skills over pedigree . We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do. We don t see velocity and quality as tradeoffs; both matter. If you take pride in high-impact work and thrive in a driven team, HackerRank is where you belong. About the team: The Infra team runs the core engines behind every HackerRank assessment. We own Coderunner, the service that compiles, executes, and scores all coding and database submissions - tens of millions of runs each month. Our LSP infrastructure drives the autocomplete and autosuggest features candidates rely on for speed and accuracy. We also deliver the unified IDE used across Screen, Interview, SkillUp, Engage, and Community, giving candidates a smooth space to show their best work. Looking ahead, we are building an AI-powered platform to help our content team ideate, generate, validate, and publish new challenges faster than ever. About the role: As a Senior Full-Stack Engineer on the Infra team, you ll work across all of our critical projects. Because our charter cuts horizontally through HackerRank, every feature, fix, or optimisation you release improves multiple product lines at once. You will design, build, and operate scalable systems on both the front end and the back end, owning each change from design and code through tests, metrics, and rollout. You ll partner with product and design, mentor junior engineers, and deliver improvements that reach millions of developers in hours - not months. What you will do: Build and ship front-end features, then integrate them with back-end services. Boost the IDE s speed, accessibility, and usability across Screen, Interview, SkillUp, Engage, and Community. Keep core platform services fast and reliable while processing tens of millions of submissions each month. Embed LLMs and other AI agents into both UI flows and public APIs. Write design docs, unit and integration tests, dashboards, and alerts for every change you own. Review code, mentor junior engineers, and share knowledge through pairing and short talks. Work with product and design to turn rough ideas into scoped, testable stories. Join the on-call rotation, resolve production issues end-to-end, and leave the system stronger after each incident. You will thrive in this role if you: Own the whole flow. You re happy to take a Figma mock-up, build the UI, hook it to an API, write tests, and watch the metrics after launch. Use AI as leverage. Cursor, Claude, ChatGPT, or your own prompts speed up routine work - and you always verify the output before merging. Write things down. Clear design notes, API contracts, and post-mortems come naturally, so the team learns even when you re offline. Chase measurable wins. Lowering latency, raising accessibility scores, and shrinking error rates motivates you more than adding shiny tech. Mentor by example. You enjoy code reviews, pairing, and short tech talks that lift junior engineers and interns. Learn quickly. A new cloud service, testing tool, or LLM framework is an opportunity, not a hurdle. Care about developer impact. Helping millions of candidates show their best code feels rewarding, not abstract. What you bring: 3-6 years shipping production software, front end and back end. You have owned code in production, not just assisted. Expertise in React / Next.js with TypeScript plus one server language. Go, Node, or Python preferred; Java acceptable. Your portfolio shows complex SPAs or SSR apps and matching REST / gRPC APIs, with typed patterns and modern React hooks. Proven micro-service design and tuning. You have broken monoliths, added queues, or pushed a service to hundreds of requests per second and kept the metrics to prove the gain. Daily use of AI development tools. Cursor, Copilot, ChatGPT, Claude, or similar speed up your coding, testing, and documentation. Strong SQL and NoSQL skills. You choose the right data model, add indexes, rewrite slow queries, and can quote the performance boost. Bonus: Hands-on Docker / Kubernetes and cloud deployments. You package, roll out, and roll back services in AWS, GCP, or Azure without waiting on DevOps. Bonus: Built-in observability mindset. Logs, metrics, and traces go in with the feature. You have real-world wins using Prometheus, Grafana, Datadog, or New Relic. 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. 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.

At HackerRank, we are on a mission to change the world to value skills over pedigree . We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do. We don t see velocity and quality as tradeoffs; both matter. If you take pride in high-impact work and thrive in a driven team, HackerRank is where you belong. About the team: The SkillUp team is reimagining how developers grow and how companies recognise and unlock that growth. Were building a product that blends hands-on coding, AI tutoring, and real-world skill validation to support upskilling, mobility, and the rise of Next Generation developers. As a Product Manager on this team, you ll work closely with Design and Engineering to define a new category inside HackerRank - one that helps developers thrive and helps organisations act on skills intelligence, not guesswork. How might we use AI tutors to drive personalised learning? How can we make developer growth measurable, motivating, and career-defining? How might a company identify and accelerate its future staff engineers, or retrain a developer into a new domain? The SkillUp team lives in these questions - and this role is central to shaping the answers. About the role: In this role, youll lead the SkillUp product, empowering hundreds of thousands of developers to enhance their technical skills while enabling organisations to gain a clear view of their engineering teams skill distribution. This helps address skill gaps, drive better workforce planning, and improve retention. Youll have the opportunity and the responsibility to scale this business by thinking creatively and unlocking meaningful value for both users and buyers. What you ll do: Own the 0-1 journey - Define the vision, execute aggressively, and drive adoption. Develop and execute a GTM strategy - Work closely with field teams to drive the entire funnel and adoption. Drive rapid iteration - Make bold, data-informed bets and refine based on market signals. Champion SkillUp - Evangelize internally and externally to build momentum and adoption. Engage deeply with developers - Understand their needs and shape the product accordingly. Scale the business, not just the product - Ensure SkillUp drives real revenue and customer impact. Embrace AI - in how we operate, as well as in the product. You will thrive in this role if: You are a builder at heart. You enjoy creating something from scratch, transforming ideas into tangible, high-impact products. Ambiguity excites you . You re comfortable working in undefined spaces, carving out clarity where little exists, and defining a clear vision and strategy. You take a customer-first approach. You excel at identifying unmet customer needs and turning those insights into innovative product solutions. You are a strategic thinker. You can evaluate complex challenges, prioritise effectively, and make decisions that balance short-term progress with long-term success. You thrive in fast-paced environments. You re energised by working on high-impact initiatives where priorities can shift as you gain new insights. You have a bias for action. You re not afraid to experiment, iterate, and learn quickly in pursuit of delivering exceptional outcomes. You are deeply passionate about AI. You re in the weeds and trying out AI tools constantly, and are at a point where you are using AI as a reflex to try and automate several workflows in your life and 10x yourself. What you bring: Overall 7+ yrs experience, 5+ years of PM experience, preferably building B2B SaaS, enterprise products and/or tech services and/or platforms. Experienced building developer facing SaaS products (you can engage with engineering beyond just product and user needs) OR, 2+ years of Software Programming experience (in any industry). Experienced in developing a robust, long-term, data-driven, customer-focused vision and strategy. Experienced in building and owning roadmaps for multiple teams, backed by solid prioritization and clear milestones. Ability to deep dive into ambitious problem statements and create customer value. Proven track record of successfully launching and growing new products and/or significant features. Ability to work in a fast-paced, cross-team, cross-geo environment and to deliver on a common vision. Ability to work with engineers, designers and analysts and be comfortable presenting to non-technical/business stakeholders and customers. 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. 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.