Full Stack Engineer Jobs

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, empowers everyone to find answers in real-time, leveraging all their data at scale, and fueling the potential of businesses and individuals. The Elastic Search AI Platform, trusted by over 50% of the Fortune 500, unifies the precision of search with the intelligence of AI to accelerate impactful results. The Software Engineer will join the self-service cloud growth team, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Working as a full stack engineer, contributing both to the backend and frontend of the product onboarding and trial experience. Designing and implementing new scalable features and APIs in our product. Working closely with PMs and designers to plan and design the features. Implementing agentic interfaces for onboarding and trial experience. Collaborate with Elastic solution teams to seamlessly integrate cloud and kibana onboarding flows. Designing and implementing data evolution strategies to manage schema changes without introducing breaking changes. What You Bring Strong proficiency in React and JavaScript/TypeScript. Strong proficiency in Node.js server frameworks like Hapi and Next.js. Front-end tech

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Celonis Context Model provides a real-time digital twin of enterprise operations, serving as the bridge between enterprise systems and AI. It captures how business actually flows across systems, giving organizations and AI agents the context needed to optimize complex workflows in real time. As an engineer on the Context Model Core team, you will shape the foundation powering the future of Enterprise AI and Process Intelligence. The Role: We are looking for a Full Stack Engineer to build the core capabilities to power the Celonis Context Model. In this role, you will build the next generation of user-facing tools and robust backend services that define how the world’s largest enterprises understand their data. You will tackle full-stack engineering challenges end-to-end: from designing scalable microservices in Java (Spring Boot) to building rich, interactive UI components in Angular and TypeScript . You’ll work closely with product and design to turn abstract data modeling into fast, reliable and joyful user experiences. Your work at Celonis will directly impact companies and people around the globe as they improve their processes to save money, reduce waste, improve automation and generally become more efficien

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Explore our Engineering Blog & Emerging Talent Blog to learn more about how we build at Ramp and what it’s like to start your career here. About the Role Ramp is, at its core, an engineering company. We’re looking for frontend and full-stack engineering interns who are excited to build intuitive, high-quality products that solve complex problems for our customers. Our ideal candidate has strong JavaScript fundamentals, an eye for great user experiences, and enjoys turning customer needs into thoughtful engineering solutions. Our frontend stack includes TypeScript, React, Vite, and Ryu, our in-house design system. What You’ll Do Build performant, beautiful, and intuitive interfaces for businesses with complex needs Own meaningful projects and ship products alongside cross-functional teams Work closely with product, design, and business teams to turn customer feedback into product improvements Contribute to the tools, systems, and engineering practices that help Ramp scale What You’ll Need Currently pursuing a B.S. or higher in Computer Science or

About the Team DoorDash is looking for an Engineering Manager with strong product sense to oversee building out transportation and logistics strategies for long-distance deliveries across the US. This team is in charge of making big bets to enable DoorDash to think outside of the traditional food delivery box and unlock new opportunities. This is a highly cross functional team, which focuses on both zero to one initiatives as well as scaling mid-maturity businesses to help unlock both merchant growth and earnings opportunities for drivers. The team’s charter will span mobile, backend and web components and involves problems like integrating with external transportation aggregators, developing our in-house TMS and capabilities. The end goal is to build industry leading mid-mile transportation and logistics systems that enables any third-party business to deliver their items anywhere in their city and across the US. About the Role Provide technical guidance, leadership and development for a team growing to 8+ engineers across Android, FullStack and Backend. Own the hiring process for your team, in partnership with recruiting, to grow a diverse and inclusive team Collaborate with business and engineering leaders at multinational corporations to help understand their business needs and formulate them into a world class product Engage with key internal business stakeholders to define the roadmap and vision for our product Partner with analytics and data counterparts to measure impact and success of products and features delivered You're excited about this opportunity because... Strong hands-on technical leader Strong product intuition Able to lead full-stack engineering teams - backend, mobile, and some web High-energy and driven - you’ll do whatever it takes to win You’re an owner - driven, focused, and quick to take ownership of your work Humble - you’re willing to get into the details and you’re open to feedback Adaptable, resilient, and able to thrive in ambiguity -

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . We are looking for a Senior Full Stack Engineer to build and evolve our platform using .NET, React, and SQL Server-based systems. You will work across services, APIs, and front-end systems with a focus on scalability, reliability, and maintainability. You will operate within a globally distributed Agile team (Scrum and ShapeUp), where engineers own delivery, from design through deployment, while collaboratin

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview As a Senior Machine Learning Engineer on the Ads Response Prediction team, you will own and execute the development of ML models that power Instacart's ads ecosystem. This is a research-leaning role focused on theoretical problem formulation, training methodology, and model quality rather than infrastructure or full-stack engineering. You will work on meaningful challenges in pCTR modeling such as mitigating selection bias, position bias, and optimizer's curse in training data, improving model calibration across surfaces and domains, and advancing our multi-task learning and sequence modeling capabilities. You will contribute to our foundation model approach for ads ranking and work on cutting-edge retrieval systems like TIGER (Transformer Index for Generative Recommenders), Semantic ID and domain language models. The Ads Response Prediction team owns all

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members globally and rapidly growing Over $300 million raised in funding 3,000 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE ROLE As an Engineering Manager at Tide, you’re an experienced Full Stack Engineering Leader with strong people-management skills, comfortable operating at scale and driving impact through well-designed platforms. In this critical role, you will lead a cross-functional engineering team (comprising Backend, Mobile, and Web engineers) and partner closely with Product Management to own and lead our global In-Person Acquiring products. In-Person payments currently account for a significant majority (65%+) of our Acquiring revenue in key markets, making this a highly visible, high-impact domain. You will own the technical direction and end-to-end execution of systems that power our in-house ePOS solutions, Tap to

About the Team DoorDash’s ability to build the best products in the industry, enabling local commerce at global scale, depends on its ability to recruit, engage, grow, and retain the best talent in the industry. The People Applications team at DoorDash is responsible for building and scaling first-party (1P) products that support the entire employee lifecycle from recruitment through to offboarding. The team develops and operates People Applications used across all DoorDash brands, including Wolt and Deliveroo. About the Role The DoorDash People Applications team is seeking an Engineering Manager with experience building and scaling applications across talent acquisition, compensation, and employee experience domains. In this role, you will play a key part in shaping the future of our People platform as we accelerate the adoption of AI and evolve our 1P products to drive greater efficiency, innovation, and employee experience. This is a highly collaborative role where you will help shape both the technical direction and product strategy, ensuring our solutions align with DoorDash’s people team’s goals while delivering reliable, high-impact experiences for employees across all brands. This will be a hybrid role and you will report to the Senior Manager, Enterprise App Engineering. You’re excited about this opportunity because you will… Lead and Inspire: Manage, mentor, and grow a high-performing team of full stack engineers across multiple DoorDash locations including in US and Hungary Drive Technical Vision: Partner with the team to define architectural roadmap for the team. Deliver Impactful Features: Oversee development of core People Application product experiences, including data pipelines, automation and integration with AI tools/LLMs. Collaborate Across Functions: Work closely with product managers, UI/UX designer, and business stakeholders to translate requirements into impactful, user-first solutions. Operational Excellence: Establish best practices in devel

RDQ226R533 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business. We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products. You will report directly to the Senior Manager of Engineering. The main responsibilities include: You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives. You will oversee sustained recruitment of top-tie

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Identity Threat Protection Team Identity Threat Protection (ITP), powered by cutting-edge Okta AI, shatters the mold of traditional login security. We deliver real-time, surgical defense against the most sophisticated and rapidly evolving threats. By deeply integrating with existing security infrastructure, ITP relentlessly analyzes user behavior and system data to proactively hunt down and neutralize risks before they impact our customers. Join an elite team of full-stack engineers, visionary data scientists, and pioneering ML engineers. We are not just redefining cloud authentication—we are engineering the next-gen security platform that continuously evaluates global threats and constructs a comprehensive, dynamic risk. ITP stands as the uncompromising guardian of trust and security, placing decisive risk prioritization at the core of every authen

The Role Capco is seeking a Senior Full Stack Engineer with strong .NET and React experience to join our Technology & Engineering practice in Toronto. In this role, you will help design, develop, and maintain modern applications and APIs that support business-critical solutions for our clients. Working alongside experienced engineers, product teams, and quality specialists, you will contribute to the delivery of secure, scalable, and high-performing applications while leveraging AI-assisted development practices to improve efficiency and quality. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. What You’ll Do Design, develop, and maintain scalable web applications using .NET, React, SQL Server, and modern development practices. Build secure RESTful APIs, implementing authentication and authorization mechanisms such as JWT and OAuth2 while ensuring consistent validation and error handling. Create responsive and accessible user interfaces using React and modern front-end technologies, delivering reliable user experiences. Containerize applications using Docker and contribute to CI/CD processes, code reviews, documentation, and knowledge sharing activities. Leverage AI-assisted development tools responsibly to accelerate coding, testing, debugging, and technical documentation while maintaining quality and security standards. What We’re Looking For 5+ years of professional software engineering experience with strong hands-on expertise in .NET, ASP.NET Core, and REST API development. Working proficiency in React, SQL Server, Docker, and data access technologies such as Dapper and/or Entity Framework Core. Understanding of API security concepts, including authentication and authorization patterns such a

About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the Role We’re looking for a hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will Lead and manage a team of three senior full-stack engineers. Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. Collaborate with Consumer Learning and model teams to translate education insights into broader ChatGPT behavior and product improvements. Drive execution across product, engineering, research, go-to-market, and partner teams. Help define product strategy, priorities, and delivery plans for a new product pod. You Might Thrive In This Role If You Have several years of direct people-management experience with engineers. Are still highly technical and comfortable doing IC engineering work. Have strong pr

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Role: We are seeking a highly skilled Full Stack Engineer to design, develop, and scale next-generation Data Quality and AI-enabled platforms. In this role, you will work across the entire technology stack—from intuitive user experiences and data visualizations to cloud-native backend services and data processing pipelines. You will partner closely with Data Quality SMEs, Data Engineers, Product Managers, Data Scientists, and Platform Teams to build solutions that support data observability, analytics, data governance, and AI-driven insights. You will help build the next generation of D&B's Data Quality Insights platform, enabling data governance, observability, analytics, and AI-powered decision support for enterprise data products.

Role Overview: Citi is seeking a highly motivated Senior Software Engineer to join the Finance Engine Hedge Fund Billing technology team. In this role, you will be instrumental in designing, building, and enhancing high-throughput, enterprise-grade billing and calculation engines that serve institutional hedge fund clients globally. The Hedge Fund Billing platform is a mission-critical financial system that handles complex fee structures and high-volume transactional processing across multiple business lines. You will work closely with product managers, business analysts, and technical leads to deliver scalable, resilient, and cloud-ready full-stack solutions using Java , Angular , and MSSQL technologies. Key Responsibilities: 1. Architecture, Design & Full-Stack Engineering Design, develop, test, deploy, and maintain robust full-stack applications leveraging Java microservices and modern Angular frontends. Architect modular, extensible services capable of performing high-volume calculations. Develop interactive, intuitive user interfaces and operational dashboards in Angular , ensuring seamless user experience, state management, and performance. Write clean, well-documented, testable, and maintainable code adhering to Citi's engineering standards and design patterns. 2. Database Engineering & Performance Optimization Design efficient relational database schemas, complex SQL queries, stored procedures, indexing strategies, and views for high-performance financial data processing. Profile and optimize backend queries and API performance to ensure low-latency data retrieval and reliable processing of large billing datasets. Ensure data integrity, transactional consistency (ACID compliance), and audit

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Full-Stack Software Engineer in RL, you'll build the platforms, tools, and interfaces that power environment creation, data collection, and training observability. The quality of Claude's next generation depends on the quality of the data we train it on — and the systems you build are what make that data possible. You'll own product surfaces end-to-end — from backend services and APIs to the web UIs that researchers, external vendors, and thousands of data labelers use every day. You don't need a background in ML research. What matters is that you can take an ambiguous, high-stakes problem and ship a polished, reliable product against it, fast. This team moves very quickly. Claude writes a lot of the code we commit, which means the bottleneck isn't typing — it's judgment, taste, and the ability to react to what researchers need next. You'll iterate on data collection strategies to distill the knowledge of thousands of human experts around the world into our models, and you'll do it in a loop that closes in hours and days, not quarters or months. Anthropic's Reinforcement Learning organization leads the research and development that trains Claude to be capable, reliable, and safe. We've contributed to every Claude model, with significant impact on the autonomy and coding capabilities of our most advanced models. Our work spans teaching models to use computers effectively, advancing code generation through RL, pioneering fundamental RL research for large language models, and building the scalable training methodologies behind our frontier production models. The RL org is organized around four goals: solving the scien