Backend Developer Jobs

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. We’re redefining Privileged Access Management (PAM) from the ground up, purpose-built for Cloud, SaaS, Databases, Containers, and any virtualized environment. Our mission is to simplify and secure workforce access with seamless, secure-by-default workflows that adapt dynamically to modern infrastructure. We eliminate standing privileges, enforce least privilege, and embed Zero Trust principles into every access workflow by default. About the Role We are seeking a Principal Backend Engineer (P5) to serve as the technical leader and compass for our newly established engineering pod in India. Operating at the intersection of identity, networking, and security infrastructure , you will be responsible for tackling highly complex, vaguely specified problems without day-to-day oversight. In this role, you will champion the technical execution of your team. You will lead the design and implementation of secure database and network device connectors (routers, switches, firewalls) on top of our core Zero Standing Privileges (ZSP) platform. You will work closely with our local Technical Team Lead to mentor mid-level engineers, while collaborating closely with global Tech Leads to ensure architectural alignment. What You’ll Be Doing Lead Technical Strategy & Execution: Turn high-level, complex PAM and network access problems into clear, modular technical designs that your team can execute. Own Connector Ecosystems: Design, architect, and optimize resilient connecto

About the Team The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross team partnerships across Engineering, Applications, Finance, and Supply Chain. About the Role We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate. In this role, you will: Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments. Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone. Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership. Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership. Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement. Work across backend, full-stack, data, and big-d

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position must be based in the San Francisco Bay Area. About the Role We're hiring a Software Engineer II within our Fulfillment organization — the backend systems that get the right job to the right Tasker and see it through to completion. You'll join Fulfillment Lifecycle, the team that decides how jobs are matched to Taskers for our partner and marketplace business, increasingly using unstructured data and experimentation to make matching smarter and fulfillment more reliable. The team is part of a company-wide platform modernization effort, breaking a legacy monolith into well-bounded, API-first services. We're hiring for a strong backend engineer who thrives on complex, data-intensive problems, is comfortable with ambiguity, and takes pride in well-tested, observable, production-ready code. What You'll Work On B

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! Role summary We are seeking a Senior Full Stack Engineer II to join our Digital Innovations team and help bring our most beloved brands to digital channels. In this role, you will own user-facing features end-to-end across frontend, GraphQL/APIs, services, and data, improving performance , reliability, security, and accessibility. You’ll lead technical design and delivery for complex cross-stack initiatives, partnering with Product, UX, and Engineering to align on tradeoffs and execution. As a senior technical leader, you’ll set the bar through hands-on building and reviews, drive consistent client/server architecture patterns, and mentor a team of engineers. What You’ll Do Lead cross-functional initiatives (Product + Design + Engineering) delivering user-facing features end-to-end Define frontend standards for Vue 3/React with TypeScript, including component and build system APIs. Promote state and GraphQL data patterns, performance budgets, and accessibility aligned with WCAG. Design and evolve GraphQL schemas and APIs that match product workflows. Build and ship backend changes in C#/.NET and/or Node.js, and make data model changes in Postgres/MongoDB driven by real usage and frontend needs. Mentor a team of engineers via pai

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Software Engineer, Customer Administration The Customer Administration Engineering (CAE) team is a core pillar of Coinbase's Enterprise Applications and Architecture (EAA) org, responsible for building and operating the secure, foundational platforms that power customer data operations across Coinbase. Our flagship product, Control Center, is Coinbase's secure system of action for internal specialists across CX, Compliance, Legal, Global Investigations, Trust and Risk, and dozens of other teams. It serves approximately 7,000 internal users via its UI and powers a growing ecosystem of internal tools and AI automation via its backend APIs and MCP. We are at an exciting inflection point: evolving Control Center from a human-specialist UI into a modular, AI-agent-ready operations platform. As a Staff Software Engineer, you will be a technical anchor for the CAE team, driving architectural decisions, mentoring engineers, and leading the delivery of high-impact, cross-cutting platform capabilities. What You'll Do Architect and deliver foundational platform capabilities including MCP tool registries, AI orchestration layers, risk-based access automation, and the away-team contribution model that enables product groups across Coinbase to build on the platform safely and at speed Drive the evolution of Control Center into an AI-agent-ready, headless operations pl

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering. Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native. You will: Deploy flexibly into critical, fast-moving product initiatives across the CB organization Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models. Lead architecture decisions for scalability, reliability, and performance Mentor and uplevel engineers across the team Partner with product and leadership to shape roadmap and priorities Own large, ambiguous problem spaces end-to-end Work across backend, frontend,

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning Search Team We are currently embarking on one of our two top strategic priorities to make Money work for Everyone: building the Monzo Co-pilot. We are becoming an intelligent, proactive ally that handles the complexity of users financial life. We aren't just selling financial products; we are building a truly smart agent that understands users, anticipates their needs, and helps people reach their financial goals. Our ML Search team brings together Backend, Product, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll build and ship models that help customers search for and find answers about their financial lives. You'll make it effortless for them to find the right products at the exact moment they need them. Whether it’s surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first. What you’ll be working on: A

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. 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. 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. The Android team’s mission is to redefine how millions of users engage with their finances. We're focused on delivering intuitive, scalable, and inclusive mobile experiences that empower our customers to build better financial futures. We collaborate closely with Product, Design, and Backend Engineering to ensure every interaction on Android reflects quality, performance, and care. Robinhood’s iRAD team builds and scales investing experiences across areas like Retirement, Advisory, Recurring Investments, and Recommendations. The team works across both foundational and customer-facing surfaces, including onboarding flows, settings, deeplinks, and other shared product experiences. As a Senior Android Engineer on iRAD , you would build and evolve high-impact mobile experiences across these investing journeys, helping shape how cus

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. Snowflake is building AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end. This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use. You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity. In this role, you will Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java. Drive projects end to end across frontend, backend, architecture, and product details. Partner closely with product, design, and sister teams to deliver cohesive user experiences. Make thoughtful tradeoffs between speed, quality, and long-term maintainability. Help shape technical

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. Snowflake is building AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end. This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use. You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity. In this role, you will Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java. Drive projects end to end across frontend, backend, architecture, and product details. Partner closely with product, design, and sister teams to deliver cohesive user experiences. Make thoughtful tradeoffs between speed, quality, and long-term maintainability. Help shape technical

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as Internal Control Apprentice (Tech & Product) to help ensure Qonto's systems, processes, and data are secure and compliant as we go through our most important milestone: becoming a fully licensed bank. You'll run real controls from day one, interviewing engineers, reviewing processes, tracking remediations, all under the guidance of Charlotte, responsible of Internal Control (Tech & Product). ➡️ What you'll do Own monthly tech controls end-to-end: Each month you'll be assigned controls covering access management, change management, security processes, and cybersecurity topics — and take them from stakeholder interview to final report. Interview control owners across the tech org: You'll meet with Security, Data, Backend, and SRE teams to assess how

Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn’t just possible—it’s essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , we’re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers If you’re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team – we should talk. Description: project44 is looking for a Senior Software Engineer 2 - Backend to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-thr

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description Summary The Probe Product Engineer in STPG Product Engineering owns probe strategy and silicon learning at wafer test, spanning pre‑silicon design‑to‑probe staging, first‑silicon bring‑up, qualification, and high‑volume manufacturing (HVM). This role is accountable for defining probe coverage intent, establishing limits and guard‑bands grounded in silicon behavior, and driving yield, quality, and test‑cost outcomes. The focus is on interpreting design intent, device operation, and process interactions, and translating product risk into robust, manufacturable probe strategies aligned with downstream test and customer requirements. The engineer works closely with Design, DFT, Design Validation (DV), Process Integration, Backend Test, and Reliability teams to ensure probe solutions are technically sound, scalable, and product‑centric across the lifecycle. Key Responsibilities Probe Coverage Strategy & Ownership Define and own probe coverage intent by mapping design features, device behavior, and process risks into probe observability, screening mechanisms, trims, and guard‑bands. Define, release, and sustain probe test flows from first silicon through qualification and HVM, ensuring coverage objectives

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description Summary The Probe Product Engineer in STPG Product Engineering owns probe strategy and silicon learning at wafer test, spanning pre‑silicon design‑to‑probe staging, first‑silicon bring‑up, qualification, and high‑volume manufacturing (HVM). This role is accountable for defining probe coverage intent, establishing limits and guard‑bands grounded in silicon behavior, and driving yield, quality, and test‑cost outcomes. The focus is on interpreting design intent, device operation, and process interactions, and translating product risk into robust, manufacturable probe strategies aligned with downstream test and customer requirements. The engineer works closely with Design, DFT, Design Validation (DV), Process Integration, Backend Test, and Reliability teams to ensure probe solutions are technically sound, scalable, and product‑centric across the lifecycle. Key Responsibilities Probe Coverage Strategy & Ownership Define and own probe coverage intent by mapping design features, device behavior, and process risks into probe observability, screening mechanisms, trims, and guard‑bands. Define, release, and sustain probe test flows from first silicon through qualification and HVM, ensuring coverage objectives