Fullstack Engineer Jobs

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Help power the development of Replit Agent as an engineer in the Replit Cloud organization. The Replit Cloud team builds Replit’s first party cloud infrastructure so users can build, scale, and succeed entirely on Replit. They manage databases, application storage, app publishing and hosting, development/production environment splitting, custom domains, and more. By having a set of first party services that integrate seamlessly, you will power one of Replit’s key product differentiators. You will: Work closely with designers and product managers, to quickly iterate on Replit Cloud to continually grow and improve the product. Drive full-stack feature development from conception to deployment, taking ownership of key product initiatives. Contribute to architectural decisions that shape the future of our product. Ship product and build infrastructure as a true full stack builder using: TypeScript, React, CSS, Postgres, Go, and Terraform. Examples of what you could do: Leverage our unique cloud infrastructure to build differentiated full product experiences, helping non-technical or semi-technical users remove roadblocks to success. Leverage AI agents to proactively optimize or suggest app improvements on latency, reliability, SEO, and more. Be part of engineering leadership, steering teams towards the highest impact work and supporting initiatives across the company. Required skills and experience: Bachelor’s degree in Computer Science or related field, OR equivalent real-world experience in engineering roles. Comfortable building with our tech stack: TypeScript, React, Go Preferred Qualifications Experience building user facing platform as a service products. Experience with AI/agentic systems. Previous e

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About Replit Replit is building the world’s most ubiquitous AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it’s an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit is also the leader in secure vibe coding. We protect apps, give users features to manage security risks, and help them vibe code more safely. About the Role In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties. This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems. On this team, you’ll have the opportunity to grow your skills across our infrastructure and product, and to lead end-to-end efforts with meaningful impact. We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply. You Will Build high-throughput backend applications and services, like streaming chat between user and agent. Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time. Develop infrastructure (frontend & backend) that empowers product enginee

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: As a Staff Product Engineer at Replit, you’ll work closely with other product and platform engineers, designers, sales representative, and product managers to build features that help users collaborate with their team to go from idea to software fast. You’ll be at the forefront of shaping and experimenting on what our tens of millions of users love. You will: Help lead major projects and take new products from 0->1 Identify the hardest technical and/or quality problems holding us back, and then build solutions Chart high level technical direction and follow up to make sure those projects come together to deliver on results Mentor and develop new senior engineers to help grow the team Ship new features and build infrastructure using: TypeScript, React, CSS, GraphQL, Node.js, and Postgres Required skills and experience: A minimum of 7 years of professional software development experience Experience in a technical leadership role, working cross functionally Working experience building full stack applications with TypeScript Working experience building directly for users Bonus Points : You’re excited about the future of programming and have experience working with IDEs, terminals, or other common developer tools You’ve had previous experience working at a startup in a cross-functional engineering role This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ( US Only ) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Description of the team The Dashboard Foundations team is the product platform team that stewards the Plaid Dashboard ( dashboard.plaid.com ). As both the portal for applying for production access and also the host for many products, the Dashboard is a critical touchpoint for our customers. Our mission is to build the platform of every product engineer’s dreams, with rich tooling, abstractions, and resources available to support every phase of the software development lifecycle so that developing a high quality, secure product is fast and easy. Our customers are over a dozen teams building in the Dashboard, representing products in areas such as Fraud, Credit, Signal, Account Verification, Transfer products, and more. We are a full stack team made up of former product engineers, drawing upon our experience to set our north star vision. We have in-person members in New York and San Francisco as well as some members distributed in various locations across the United States. Responsibilities You will lead a team of 8 engineers, ranging from Junior to Staff, developing them through clear goal setting, coaching, and feedback. You’ll define and drive the long-term strategy for this foundational area, in c

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. At Discord, we believe everyone can find a place where they belong. Our mission is to help make it easy for everyone to find and join meaningful conversations and to make every part of our product feel smart and delightful. Discord is a rapidly scaling company that puts Data at the heart of its decision-making and future growth. The Experimentation team at Discord is responsible for building the tools, systems, and processes that empower Discord employees to continually test hypotheses and improve our product in a data-informed way. We are looking for a Staff Software Engineer to lead the development of Discord's next-generation experimentation platform, including building state-of-the-art AI assisted experimentation workflows. You will lead and mentor engineers, fostering their growth and enhancing their skills. What you'll be doing Design, build, and support Discord's next generation experimentation platform: scope of work would include core services, data pipelines, configuration tooling, statistical analysis tools and UX. Collaborate with external (sometimes non-technical) stakeholders and customers throughout the company Understand and influence product telemetry practices to support experimentation needs. Use your technical expertise to build delightful user experience and high-scale data systems that power internal teams and product features used by many millions of users every day Deliver business results by collaborating with stakeholders across Discord to experiment on features, machine learning models and more. What you should have You have 7+ years of experience as a full-stack SWE You have

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Privacy and Civil Liberties (PCL) Engineering team is a interdisciplinary team of software engineers, forward-deployed engineers, designers, lawyers, and policy experts. The first of its kind in the tech industry, Palantir’s PCL team was formed 15+ years ago as a rejection of the prevailing view that privacy protections must be sacrificed to national security interest. Today, the mission of the PCL team goes far beyond civil liberties protections, and our work challenges other false tradeoffs between operational effectiveness and the defining values of our society: Effective military operations should not be at odds with protecting civilians and upholding the Law of Armed Conflict. Deploying AI with scale and speed should never compromise safety, reliability, and governance. The PCL team builds software and forward deploys to ensure that our customers can pursue their hardest operational challenges while keeping ethical imperatives in plain sight. You can read more about the team on the Palantir blog here. As a PCL Engineer, you will be responsible for designing and developing full-stack software products for privacy, data protection, AI governance, and accountability in Palantir’s software platforms. You may build security and governance primitives in our platform, applications for auditors, user-facing workflows for AI governance, internal tools for data protection, or something new all-together to help our customers address their next set of challenges. In every case, the software that you build will directly help our customers both carry out their missions more effectively and better meet their legal and ethical obligations. As part of this role, y

Location Details: Colombia, remote At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) , and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team Join our Growth team, where you'll build intelligent agents that serve hundreds to thousands of customers in production. We're at the forefront of applying AI to solve real business problems at scale. You'll architect, deploy, and operate AI-powered systems in live environments, tackling challenges in reliability, scalability, and performance as we grow our AI footprint across GoDaddy. What you'll get to do... Design, build, and deploy production-ready AI agents using Node.js, integrating LLMs (e.g., OpenAI, Anthropic) into scalable backend services, and delivering AI-powered experiences through full-stack applications with React frontends. Architect and manage scalable cloud infrastructure on AWS or Azure to support AI workloads for thousands of users, including database design and end-to-end system ownership. Develop and optimize APIs that orchestrate AI agents, handle asynchronous processing, and manage complex workflows with a focus on performance, reliability, and observability in production environments. Work across the full stack and collaborate with cross-functional teams to define scalable, available, and maintainable technical solutions while reducing technical debt and strengthening engineering foundations. Mentor junior engineers on full-stack and AI best practices, and actively participate in on-call rotations, incident response, and post-mortems to ensure high operational standards. Your experience should include... 5+ years of experience building and scaling full-stack applications, with a strong focus on bac

Location Details: Melbourne, Victoria, Australia At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... GoDaddy is empowering everyday entrepreneurs around the world by providing the tools, insights, and support they need to succeed online. Our mission is to help customers turn their ideas and personal initiative into success. We provide everything needed to build, grow, and manage their businesses online. GoDaddy's Registry team is looking for a Software Development Engineer to join a collaborative Agile team focused on building products and services that power the Registry system. In the role of a Software Development Engineer, you will contribute to user stories. You will build and operate services at the core of the internet. You will take full responsibility for the solutions and systems you build. This is primarily a backend-focused role with opportunities to contribute across the full stack, including UI development. You'll work with modern cloud technologies, scalable distributed services, and AI-assisted engineering tools while building reliable and highly available solutions for GoDaddy Registry! You'll collaborate with engineers across the team, continuously improve code quality and engineering practices, and gain exposure to technologies across the AWS and Java ecosystem. What you'll get to do... Full-stack development: Participate throughout the entire development stack, from UI components through backend services and persistence layers. Build clean, maintainable, and production-ready code with a strong focus on quality and reliability. Cloud infrastructure and applications: Design, develop, maintai

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Proactive Insights team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the intelligent layer that transforms Mixpanel from a tool you query into a partner that works for you. We answer the question every data-driven team asks: "What changed, why, and what should I do about it?" We proactively keep users informed about what matters in their data, delivering the right insights and recommendations at the right time, to the right places, both inside and outside of Mixpanel. Some examples of what we are building: AI-powered root cause analysis : intelligent agents that diagnose why metrics changed, identify contributing factors, and recommend what to do next AI automations for KPI monitoring : always-on agents that track your key metrics and deliver insights to Slack, email, or directly in Mixpanel Intelligent alerts and anomaly detection : monitoring powered by models like TimesFM that surfaces meaningful shifts in your data About the Role As a Software Engineer on Proactive Insights, you'll build the features that transform how teams stay on top of their data. You'll work across the full stack, from React frontend experiences to Python backend services to integrating with our query engine, to ship workflows that surface insights users didn't know to ask for. You'll collaborate closely with Product and Design to shape what proactive analytics looks like, and with our AI Engine team to leverage shared infrastructure for orchestration, evaluation, and observability. This is a high-impact role on a small, fast-moving tea

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About The Role Data governance is one of the most critical challenges for Mixpanel's enterprise customers, and the AI era turns it into a foundational problem. Analytics and agents are only as trustworthy as the data beneath them. Poor data quality compounds: incorrect analyses spread as it becomes easier for anyone — or any agent — to query data, and the problem multiplies as customers scale into projects with high-cardinality events and fast-growing user bases. A data foundation that stays clean, consistent, and trusted is what sets Mixpanel apart. As a Senior Software Engineer on the Data Foundation team, you'll work across the stack to build high-impact features with extreme customer focus. You'll partner closely with engineers across the company, and with Design, Product, and GTM, to solve one of the hardest problems in analytics: keeping data clean, consistent, and trustworthy at scale. Curious what this looks like in practice? Read why data governance matters for AI-powered analytics on our blog. What You'll Do Build customer-facing features on our web application (React SPA) Collaborate closely with engineers and cross-functional partners across Product, Design, GTM, and beyond Take full ownership of projects — from shaping and delivery through iteration We're Looking For Someone Who Has Full-stack experience, with deep expertise in at least one of: Web application backends (Python, Django) High-volume APIs Search indexing A track record of leading projects end to end, not just executing tickets Comfort moving across the stack Bonus Points For Experience with data ingestion (Go) A data-driv

About the Team This team builds an AI-native predictive analytics platform that embeds ML and AI-driven insights directly into production Go-To-Market workflows — powering real-time decisions at scale. The team owns the full stack from distributed data pipelines and backend services to ML and AI-powered capabilities that ship directly to customers. We are building toward a model where AI components are first-class runtime dependencies, not bolt-on features. Agentic AI development is a core part of how we increase engineering velocity and deliver customer value. This is a team that ships daily, iterates constantly, and treats speed as a capability to be deliberately improved. The Role This is a high-ownership, builder-first Sr. Software Engineer role. You will design, build, and ship AI-integrated data systems from concept through production — owning outcomes end-to-end, including deployment, monitoring, cost, and business impact. We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI. What You Will Build AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role — not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space. Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requ

The Team + The Role Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents. As a Staff Software Engineer (AI), you will sit at the intersection of deep technical capability and strong product judgment. You will design and build production-grade AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, while making clear tradeoffs across prompting, fine-tuning, architecture, evaluation, and deployment. You will also partner closely with product, design, and engineering stakeholders to frame the right problems and communicate technical decisions clearly. This role is based in our New York office. What this looks like day-to-day Applied AI systems: Design and build AI-native systems, including RAG pipelines, agentic workflows, and LLM-powered product features. You will take ideas from prototype through production and ensure they can support real users. Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use a different technical approach entirely. You will explain those tradeoffs clearly to engineers and non-engineers. Evaluation and guardrails: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and identifying hallucinations early. You will implement guardrails that hold up under real-world usage and load. Productionize AI ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will ensure AI systems are observable, performant, and production-ready. Full-stack delivery: Contribute across the stack when needed to get