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Staff Software Engineer - UI Foundation at Amplitude (View all jobs) San Francisco Bay Area Hybrid Amplitude is the leading AI-first digital analytics platform, helping over 4,300 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Fall 2025 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. The UI Foundation team owns the frontend infrastructure that every product engineer at Amplitude builds on — architecture, performance, developer experience, tooling, and build systems. We're the team that makes shipping fast, reliable frontend code possible at scale, and we're increasingly focused on how AI agents can autonomously handle engineering workflows that used to require constant human intervention. The Role We're looking for a Staff Software Engineer who thinks like an infrastructure engineer but has deep fluency in frontend systems. You'll drive architectural decisions for our frontend platform, push performance and DevX forward, and lead the build-out of our "software factory" — a set of autonomous, AI-agent-driven engine

Staff Software Engineer - UI Foundation at Amplitude (View all jobs) San Francisco Bay Area Hybrid Amplitude is the leading AI-first digital analytics platform, helping over 4,300 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Fall 2025 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. The UI Foundation team owns the frontend infrastructure that every product engineer at Amplitude builds on — architecture, performance, developer experience, tooling, and build systems. We're the team that makes shipping fast, reliable frontend code possible at scale, and we're increasingly focused on how AI agents can autonomously handle engineering workflows that used to require constant human intervention. The Role We're looking for a Staff Software Engineer who thinks like an infrastructure engineer but has deep fluency in frontend systems. You'll drive architectural decisions for our frontend platform, push performance and DevX forward, and lead the build-out of our "software factory" — a set of autonomous, AI-agent-driven engine

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About Ray Data Team: Ray Data is Python-native data processing engine that is a one stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting edge AI frameworks using both multi-modal and structured data. The Ray Data team currently develops and maintains Ray Data . We are a team of engineers passionate about building a Data processing engine which is a one-stop shop for all of your ML/AI needs. We are looking for exceptional engineers to build, optimize, and scale Ray for modern and increasingly complex AI workloads. As part of this role, you will: Improve the performance of Ray Data and multi-modal batch inference use cases. Ensure efficient scaling across different stages of the Data pipeline in a heterogeneous environment. Building data loading solutions for production training workloads. Focus on stability and fault tolerance at high scale Working with customers and new age AI native companies in scaling their AI workloads. We'd love to hear from you if have: At least 3-4 years of relevant work experience Solid background in building scalable and fault-tolerant distributed systems Experience with data processing, database internals. Passionate about large

About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role Anyscale is looking for a Software Engineer to join the Platform and Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the team, we build the scalable, secure, and robust backbone that enables this vision, ensuring that our "infinite laptop" vision scales to meet the most demanding distributed AI workloads in the world. Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads. We are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale's cloud platform. You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impa

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend. About the Ray Core Team The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray. A snapshot of projects you can work on: Optimizing performance of large-scale workloads on Ray Stability and stress testing infrastructure Improving fault tolerance (HA) As part of this role, you will: Leading cross-team projects while mentoring junior team members Develop high quality open source software to simplify distributed programming (Ray) Identify, implement, and evaluate architectural improvements

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve. A snapshot of projects you will work on: - Performance of Ray Datasets at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.) - Integration with ML training and data sources - Stability an

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend. About the Ray Core Team The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray. A snapshot of projects you can work on: - Optimizing performance of large-scale workloads on Ray - Stability and stress testing infrastructure - Improving fault tolerance (HA) As part of this role, you will: Develop high quality open source software to simplify distributed programming (Ray) Identify, implement, and evaluate architectural improvements to Ray core Improve the testing process for Ray to make re

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Anyscale is looking for a Software Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision. Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads. We are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform. You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers. A snapshot of projects you may work on Design, build, and scale services that orches

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are looking for a Software Engineer: IaC Platform Experience to join our Interfaces team and own the Terraform provider as a core part of Supabase's developer platform. This is a hands-on engineering role focused on the Go codebase behind the Supabase Terraform provider. You will partner with product and engineering leadership on roadmap priorities, drive technical execution, and ensure we ship a reliable, predictable, and well-documented Terraform experience for developers at scale. You will focus on resource behavior, lifecycle correctness, schema evolution, upgrade safety, and practical migration paths for existing users. This role is ideal for someone who thrives in async, fast-paced environments and enjoys building practical platform primitives that millions of developers can rely on. What You’ll Own Own the Go Terraform provider codebase, including architecture, implementation quality, test strategy, and release readiness. Improve Terraform provider reliability and ergonomics, including resource behavior, data sources, lifecycle edge cases, and upgrade safety. Drive technical strategy for IaC workflows through design docs, RFCs, and iterative delivery. Build practical migration and interoperability paths for existing Terraform users. Partner with product and engineering leadership in a shared roadmap model to define priorities, scope, and outcomes. Monitor customer feedback, OSS issues, and usage signals to continuously improve the Terraform experience. Create clear documentation and examples that make IaC workflows easier to understand and adopt. What You Bring 5+ years of software engineering experience in developer platforms, infrastructure tooling, or distributed sys

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the role Auth , written in Go (server) and with client libraries for TypeScript , SSR and for other frameworks and technologies, is one of the most popular products in the Supabase stack. We are seeking someone to help us build new and maintain existing Auth features. What you’ll be responsible for Designing and implementing secure, scalable authentication features in Go and TypeScript. Working across the stack: from server-side protocols to client-side libraries for frameworks like Next.js. Owning the performance, reliability, and scalability of the Auth server across Supabase's infrastructure. Contributing to the evolution of our Auth architecture, including support for OAuth, OIDC, SAML, and other protocols. Planning and executing safe database migrations across a large fleet of Postgres instances. Building and improving observability: metrics, tracing, alerting, and dashboards to keep the system healthy at scale. Writing and reviewing RFCs as part of our product development process. Collaborating with engineers across Supabase to ensure a seamless experience for developers using our tools. Supporting the community and responding to developer feedback on GitHub, Discord, and other channels. You might be a good fit if you (Required) Have 4+ years of professional experience writing and shipping Go in production. (Required) Have 2+ years of professional experience working on an authentication system (implementing protocol support, maintenance at scale). (Required) Have strong relational database experience (Postgres or MySQL); Postgres experience is a bonus. Have strong knowledge of TypeScript in addition to Go (languages used daily). Have strong knowledge of web technology fundamentals (

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 . Coinbase's Developer Infrastructure - Test team exists for one reason: every Coinbase engineer should get fast, reliable test signals so the company can test and ship faster. As AI accelerates the pace of code generation, test infrastructure is becoming a critical path for how quickly Coinbase delivers value to customers. As a Staff Software Engineer on the Platform team, you'll set the technical direction for how Coinbase tests and ships software, owning the systems that turn testing into a speed advantage instead of a bottleneck. What you'll do: Define and own the technical strategy for test infrastructure across Coinbase engineering, with feedback speed as a core design constraint. Build and operate core test infrastructure services, including test orchestration, smart test selection, sharding, flaky-test detection, and test result analysis. Drive measurable improvements in test feedback speed and signal reliability so engineers can ship with confidence and without reruns. Own systems end to end, including architecture, observability, SLOs, and on-call operations. Partner with engineering teams across Coinbase to identify bottlenecks and turn them into platform improvements. Mentor engineers, raise technical standards, and shape how the organization approaches test infrastructure. Required Skills and Experience: 10+ years building and operating production so

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role Build AI-powered developer experience that makes engineers enabled. You’ll join our Developer Experience team, united by the mission of “Engineers can do their work quickly, easily, comfortably, and safely.” You’ll be part of a team spanning the US and India that turns ambiguous goals into shippable projects that meaningfully improve developer throughput and reliability. Your team owns AI experiences, remote and local dev environments, builds and CI, deploys, testing, and verification. You’ll work on a relatively broad scope within a well-resourced team. This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve You build an AI harness to auto-resolve bugs reported for the Notion app. This is high-leverage work for the engineering org and requires solid engineering to improve resolution accuracy. You improve CI and build reliability so engineers get early feedback when changes break CI. We’re

We’re looking for a Software Engineer to help shape AI governance for developer tooling at Coder. This role sits on our AI Governance team, which builds and maintains two enterprise-grade components of Coder's AI governance stack. AI Gateway is a centralized LLM gateway that sits between coding agents and providers such as OpenAI or Anthropic, providing organizations with audit trails, token tracking, cost control, and centralized authentication. Agent Firewall wraps those agents with default-deny network policies, controlling which domains and methods they can reach inside workspaces. This team works across the full stack - from Go backend and React frontend, to integrating with LLM provider APIs. Day to day, you'll be shipping features, hardening security boundaries, collaborating with enterprise customers on real-world policy needs, and contributing to Coder's open-source ecosystem. What you'll do here Design and build product features that push the standard for remote development in self-hosted environments Create and improve upon popular open source projects that integrate with VS Code, JetBrains, and other developer tools Champion best practices to both internal team members and external contributors Collaborate with Product and Design teams at Coder, as well as with partners like JetBrains, to execute key product integrations Document the design, implementation, and operations of systems for knowledge sharing within the team Work alongside Customer Success teams to support Coder’s enterprise user base Work with cutting-edge AI technologies to create seamless, painless developer experiences Rapidly iterate from prototype to implementation in a highly adaptive, reactive team environment What we're looking for 3+ years of full-stack experience writing code in a professional setting, with 1+ year(s) writing Go (ideally in current or most recent position) Proficiency in building distributed systems in Go Excellent verbal and written communication skills Exceptiona

Location Details: Remote, India 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... This position is for a Staff Software Engineer within GoDaddy’s engineering organization, concentrating on developing scalable, fault-tolerant systems and promoting technical excellence across various teams and projects. As a Staff Software Engineer, you will serve as a technical leader at the division level. You will impact system design and architecture, as well as how engineering is carried out across teams. This position suits engineers who excel in uncertain environments, like tackling difficult technical problems, and can provide clarity, structure, and delivery for large projects. Our teams focus on greenfield and open-ended projects that require firm technical ownership, architectural vision, and collaboration across functions. You will assist in establishing engineering standards, support teams through mentoring, and create systems that boost reliability, scalability, and developer efficiency organization-wide. This role is important for encouraging innovation throughout the engineering organization. It includes promoting AI-assisted development workflows, modern cloud-native methods, and reusable platform features that speed up development across teams. What you'll get to do... Technical Execution & Delivery Lead delivery of complex engineering initiatives while driving predictable execution and long-term technical quality Architect and implement highly available, fault-tolerant distributed systems using AWS, PostgreSQL/Aurora, and MongoDB Architect and lead greenfield projects from concept to production, bringin

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 . Join the Money Movement team within the Coinbase Developer Platform (CDP) and help build the infrastructure powering the future of global payments. CDP brings together payments, trading, wallets, and stablecoins through a single onboarding flow and self-service APIs. You'll design and build the core backend systems for stablecoin-based pay-ins, payouts, deposits, and withdrawals, enabling fast, secure, and scalable transfers across borders and platforms that underpin how value moves across the Coinbase ecosystem and beyond. What you'll do: Design, build, and maintain backend systems and infrastructure that power stablecoin-based money movement, including pay-ins, payouts, deposits, and withdrawals. Own key projects end-to-end as the Directly Responsible Individual (DRI), driving them from design through production with high accountability. Build internal and external APIs that enable businesses and partners to embed stablecoin-powered payments into their products. Partner with cross-functional teams including Product, Design, Infrastructure, and Compliance to deliver robust, scalable solutions. Identify and resolve performance, scalability, and reliability challenges across distributed systems. Mentor engineers on architectural best practices and contribute to raising the technical bar across the team. Required Skills and Experience: 5+ years of professional so