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Lead Software Engineer 3 2c Query Execution Specialist Jobs
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MongoDB is building a world-class team in India to create tooling that helps customers verify their application and data modernizations. As companies modernize their application and data ecosystems, ensuring functional equivalence and performance is paramount. The tools developed by the Modernization Testing and Verification team are critical in this journey, helping customers with automated testing, functional equivalence, and performance validation by creating frameworks for contract testing, database state-based testing, and leveraging LLMs for unit test generation. We are looking for an experienced Software Engineer with a strong background in building software testkits/frameworks. You will lead a talented team building a complex product suite using a modern stack. The ideal candidate will be designing and building automated frameworks that validate functional equivalence, performance benchmarks, and data integrity. From leveraging LLMs for unit test generation to building contract testing frameworks, your work will be the safety net for the world’s largest enterprise migrations. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. The ideal candidate for this role will have 4+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem Proven experience evaluating Large Language Models (OpenAI, Anthropic, open-weights, etc.) Familiarity with evaluation frameworks (DeepEval, Ragas, Promptfoo) and LLM-as-a-judge concepts Experience integrating Large Language Models (LLMs) into the developer workflow to automate unit test generation and edge-case discovery Experience curating "golden datasets," adversarial test sets, and establishing scoring rubrics to test LLM accuracy, safety, and relevance Experience building developer tools, infrastructure, or complex testing frameworks Solid experience in software architecture and development Experience in applic
Join the Vector Search team and help build a cutting-edge vector database on top of MongoDB. Our team is responsible for the syntax and implementation of MongoDB's $vectorSearch aggregation, which enables approximate nearest neighbor queries over high-dimensional vectors. We are a small team with a large and rapidly growing customer base, providing engineers an opportunity to make a highly-visible, broad impact. When scaling search to billions of vectors, performance is paramount. We're looking for engineers who enjoy solving complex and open-ended problems that directly impact users' performance. This role is based in San Francisco, CA with a hybrid work model. You would get to: Implement new features within MongoDB's $search and $vectorSearch aggregation operators Work cross-functionally with Product teams to define new query and index syntax Identify and address performance bottlenecks in filter queries and nearest neighbor search Have the opportunity to lead projects and own subsystems Perform code reviews with peers, review technical designs, and mentor junior developers Ideally you will be: 3+ years of experience working on large-scale backend systems Experience writing high-performance applications in Java or another JVM language A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback Passionate about optimization, code quality, and problem solving Bonus: experienced with Apache Lucene, vector databases, or high-throughput web services Success Measures In 3 months you'll have a solid high-level understanding of what our team does and how we operate You'll have contributed to the development of an existing project and completed several small improvements or bug fixes In 6 months you'll be reviewing code and project designs, and be an active participant in team meetings In 12 months you'll have a thorough understanding of the systems our team owns and have led a small project. You'll have
The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at a global scale. We are responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Software Engineer to join the Atlas Identity and Access Management (IAM) team. The IAM team owns authentication and authorization for all of MongoDB Atlas, spanning from the underlying platform to user-facing features and products. IAM is both a platform and a product team, serving internal engineers as well as external customers. We enjoy the challenge of keeping MongoDB Atlas secure while providing a best-in-class user experience for users ranging from startup to enterprise. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. Role Responsibilities Lead medium-sized, full-stack projects from technical design to delivery Collaborate with colleagues at all stages of the project lifecycle (ideation, requirements gathering, design, execution, and delivery) Own our leadership principles , and exemplify them in your work Continue to learn and be curious in growing your career! Candidate Profile 2+ years of professional experience building full-stack web applications Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.) Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus Excellent communication skills, both written and verbal Is collaborative, empathetic, and intellectually honest Success Measures In 1 month, you’ll have shipped code into production In 3 months, you’ll have collaborated and delivered on a project with other engineers on the team In 6 months, you’ll have led the technical design, execution, and delivery of a project About MongoDB MongoDB is built for change, em
The worldwide data management software market is massive. At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB is seeking a Software Engineer 3 to join the Atlas Clusters Platform team. The team is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The Atlas Clusters Platform team develops the foundational orchestration platform behind MongoDB Atlas. Our systems drive cluster planning and execution, evolve the Atlas control plane toward service-oriented architecture, and provide critical infrastructure that help Atlas run safely and efficiently across cloud environments. We are looking to speak to candidates who are based in New York City for our hybrid working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work closely with product and design teams, considering the user’s perspective while building technical solutions Work with customers and support engineers to fix issues Collaborate with team members to develop our codebase, best practices, and design principles Learn from and mentor other team members We’re looking for someone who Has at least 3 years of professional software development experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) Is comfortable working across the stack of a modern web application (e.g. React, TypeScript, Kubernetes) Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has led the launch of a new feature and maintained it in production Is eager to solve tough problems Has excellent
MongoDB is seeking a Software Engineer 3 to join the Documentation Platform Engineering Team. The Documentation Platform delivers 60M page views a year and is critical to our users’ understanding of MongoDB products.It is also increasingly the context engine that helps AI tools understand, surface, and recommend MongoDB correctly. You will contribute to the evolution of our documentation platform by building and improving internal infrastructure, integrations, and applications that support our documentation and learning experience. This role can be based out of one of our offices in Canada or the USA, or remotely in Canada or the USA. Our ideal candidate Hands-on experience and understanding of Git, TypeScript, React, Next.js, CI/CD, MDX and other markup languages Experience with MongoDB (or a strong track record of working with other databases) Has worked on complex, in-production web applications Deep understanding of TypeScript or JavaScript, preferably TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has 2+ years of professional experience building and maintaining production software systems At MongoDB, you will Contribute to the development and enhancement of the MongoDB Documentation Platform Explore ways to improve documentation accessibility, discoverability, and user engagement Develop features that enhance the user experience for documentation consumers and contributors Contribute to and occasionally lead small-to-medium scoped features and platform improvements, collaborating with partner teams as needed Analyze user
Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. This role is based in Toronto, ON hybrid. Successful candidates will have the following qualities: 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Experience developing distributed systems and cloud services Experience with at least one modern statically typed programming language, and interest in working with Java Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Have the opportunity to lead projects and own subsystems Provide input on the team’s roadmap and help determine the architecture of our system Success measures: In 3 months you’ll have a solid high-level understanding of what our team does and how we operate.
MongoDB is seeking a Software Engineer 3 to join the Documentation Platform Engineering Team. The Documentation Platform delivers 60M page views a year and is critical to our users’ understanding of MongoDB products.It is also increasingly the context engine that helps AI tools understand, surface, and recommend MongoDB correctly. You will contribute to the evolution of our documentation platform by building and improving internal infrastructure, integrations, and applications that support our documentation and learning experience. This role can be based out of one of our offices in Canada or the USA, or remotely in Canada or the USA. Our ideal candidate Hands-on experience and understanding of Git, TypeScript, React, Next.js, CI/CD, MDX and other markup languages Experience with MongoDB (or a strong track record of working with other databases) Has worked on complex, in-production web applications Deep understanding of TypeScript or JavaScript, preferably TypeScript Can write, discuss, and review code in a collaborative way Understands how to make resilient, scalable, and maintainable software Has 2+ years of professional experience building and maintaining production software systems At MongoDB, you will Contribute to the development and enhancement of the MongoDB Documentation Platform Explore ways to improve documentation accessibility, discoverability, and user engagement Develop features that enhance the user experience for documentation consumers and contributors Contribute to and occasionally lead small-to-medium scoped features and platform improvements, collaborating with partner teams as needed Analyze user
Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language . Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building the cloud-based distributed systems software responsible for the lifecycle of search indexes including: data ingestion, index building, partitioning, performance, availability, and backup management. Our product is quickly gaining traction with customers and we are making core architectural improvements that you will contribute to. We are looking to speak to candidates who are based in San Francisco, CA for our hybrid working model. Successful candidates will have the following qualities: 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Experience developing distributed systems and multithreaded applications Experience with at least one modern statically typed programming language, and interest in working with Java Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Have the opportunity to lead projects and own subsystems Provide input on the team’s roadmap and help determine the architecture of our system Success measures: In 3 months you’ll have a
Atlas Growth is a cloud engineering group whose mission is to guide customers through their app development journey—from cluster configuration, data modeling and load testing, to running a production workload at scale. We use an in-house experiments platform which helps us validate our features quickly, releasing only the work that positively impacts our customers. Our engineers participate in cross-functional “squads” with product, design, analytics, and research focusing on a single metric (e.g. retention). Our engineering team is part of a larger Atlas Core Engineering org, building foundational elements of MongoDB’s developer data platform. Atlas Growth 2 builds customer-facing features in Atlas and sits alongside other Growth engineering teams. Recent projects include an AI Chatbot for cluster creation, a recommendation system that offers tips for better database performance, and a pricing page designed to optimize conversion rates. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Role Overview Atlas Growth seeks a mid-level software engineer (Software Engineer 3). SE3s are solid contributors to projects they work on and often lead projects of their own. They act in accordance with MongoDB’s core values and leadership principles, and are actively working toward a Senior role. Candidate Profile 3+ years of software engineering experience, with fluency in TypeScript/JavaScript, and experience with a modern framework (e.g. React) Proficiency in Java, Go, C++/C, or a similar compiled language is a plus Experience writing database queries, either document-based or relational Experience writing and reviewing technical specs, and leading small projects Interest in A/B testing or product design Expectations Contribute readable and well-tested code to ongoing projects Collaborate closely with product and design partners to implement and iterate on new customer facing features Write scope and technical spec docs for new projects
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB is seeking a Software Engineer 3 to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Clusters Security team creates a first-in-class cloud database security experience for our wide range of sophisticated customers. Our team develops and maintains systems for cluster networking, data encryption, database authentication, and more–enabling countless mission critical applications across the world. We are looking to speak to candidates who are based in New York for our hybrid working model. What you’ll do Build and design new features for MongoDB Atlas Contribute to and lead complex technical projects Work closely with product and design teams, considering the user’s perspective while building technical solutions
At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is looking for a Lead Software Engineer to join our Online Services team, who is passionate about games and will serve both as an individual contributor and as a leader for a skilled and diverse group of developers. This is a full-time, in-office position based in Rockstar’s large game development studio in Bangalore, India. WHAT WE DO The Rockstar Games Online Services Team is a development group, passionate about growing and maintaining the technology platform that powers Rockstar’s online titles and our ability to deliver outstanding player experiences. We build connected experiences that are found across our game franchises. We architect and maintain high-impact features to support the development of the Rockstar community and websites. We build services and tools that support our consumer-facing experiences and our internal business needs. RESPONSIBILITIES Lead a team of software engineers in maintaining and upgrading React and .NET systems. Define key results, set team objectives, provide technical expertise and mentorship. Conduct performance evaluations and regular check-ins to ensure team members are on track and aligned with goals. Develop and communicate technical roadmaps to leadership. Collaborate with Product Management and Production teams to scope and prioritize projects. Integrate systems with multi-functional teams. REQUIREMENTS 8+ years of professional software development experience at an enterprise level organization, with 3+ years of experience leading an engineering team of 4+. Efficiently facilitate communication with teams in various locations worldwide. Experience working in
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Staff Software Engineer - External Observability Platform Location: Bellevue, WA (Hybrid: 3 days/week in-office) Team: Infrastructure & Observability Platform Engineering About the Role Snowflake’s Data Cloud processes exabytes of data across multi-cloud global environments every day. Delivering seamless reliability and real-time visibility to thousands of global enterprise customers requires an Observability Platform built on hyper-scalable backend distributed systems. We are seeking a Staff / Lead Software Engineer to architect, design, and scale our External Observability Platform . In this role, you will lead the technical strategy for customer-facing telemetry, system metrics, audit logs, distributed tracing, and actionable operational insights. You will build high-throughput, low-latency infrastructure capable of ingesting, processing, and serving petabytes of telemetry data with strict SLA guarantees. You will join a team of world-class engineers in our Bellevue, WA office. To be successful, you must be deeply technical, capable of leading complex cross-functional architecture initiatives, and skilled at mentoring senior engineers while holding your own with the brightest technical minds in the industry. Key Responsibilities Architect & Scale Distributed Infr
DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. About the job DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides an in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. In this role, you will Build core capabilities for our SaaS Platform across multiple clouds Drive development of functional enhancements for Data Discovery, Observability & Governance for both OSS and SaaS offering Lead efforts around non functional aspects like performance, scalability, reliability Lead and mentor junior engineers Work closely with PM, Customers and OSS community Requirements Over 8+ years of experience building and scaling backend systems, preferably in cloud-first or SaaS environments. Solve complex tech
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. Senior Software Engineer, Backend About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood’s engineering organization spans Crypto, Brokerage, and Core Engineering, each responsible for systems that are foundational to how customers invest and manage their money! These teams build and operate platforms for trading, custody, ledgers, reporting, payments, and shared infrastructure, with a strong focus on correctness, reliability, and customer trust. Engineers partner closely with product, design, data, and infrastructure teams to deliver software that performs at scale. As a Senior Software Engineer, you will design and build large-scale distributed systems that support real-time trading, balances, and platform capabilities. You will lead technically complex projects, contribute to architectural decisions, and collaborate with frontend and data partners to deliver well-structured APIs. Your work will directly influence system performance, operational safety, and long-term maintainability across core Robinhood products. This role is based in our Menlo Park, CA and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress,
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