Staff Tooling Engineer Jobs

Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Staff Platform Engineer, you'll set technical direction for the platform across teams, lead our highest-complexity and highest-leverage initiatives, and shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll operate across team boundaries — partnering with product engineering, fellow Staff+ engineers, and engineering leadership to make Kubernetes and cloud infrastructure effortless across the entire engineering org. You'll build the self-service automation, shared standards, and scalable AWS and GCP infrastructure that let dozens of product teams ship faster, safer, and with less cognitive load — and you'll multiply the engineers around you while you do it. Key Responsibilities Set technical direction — shape platform and domain-level technical strategy that improves developer experience, reliability, security, and cost, and lead the high-complexity, cross-cutting initiatives that deliver it with measurable impact for the organization. Drive clarity through ambiguity. Take on the most loosely-defined problems, validate the critical assumptions early, and create alignment with stakeholders across teams so others can move quickly and confidently — driving cross-team decisions to a timely close and escalating when needed. Build the AI-augmented platform. Design org-wide tooling, guardrails, and policy-as-code that help every engineer get more out of AI-assisted development — infra primitives an LLM can safely reason about and PR against, automated review, and standards that hold as AI changes how code gets written. Own Infrastructure-as-Code standards for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — setti

About HopSkipDrive At HopSkipDrive, our mission is to create opportunity for all through mobility. We're the leader in safe, fast, and simple supplemental student transportation. Through our marketplace, we connect kids to highly-vetted caregivers on wheels. Through our software, we solve the biggest transportation challenges facing schools and school districts across the country. Founded by three moms as a solution to their own transportation challenges, we've now facilitated more than five million rides across over over 20states. We continue to grow rapidly — earning a spot on the Inc. 5000 list numerous times and the Deloitte 500 Fast-Growing Technology list. HopSkipDrive is a Series D company and has raised $100M to date. How we work We use AI every day, and not as a productivity add-on. It's woven into how we work at every level. We're rethinking how work gets done, who does what, and what a small team can accomplish. If you've already built AI into how you work, you'll hit the ground running. If you haven't, you'll need to be ready to learn fast and work differently than you have before. We're remote-first, mission-driven, and built for people who want to do work that matters with people who hold a high bar. Who We Are Platform & DevOps is a team that builds the platform that HopSkipDrive Engineering ships on: cloud infrastructure, CI/CD, test infrastructure, and the AI coding-agent tooling used by our product teams. Our engineers use coding agents every day, and this team makes the path from pull request to production as fast and safe as possible. This role will: Lead the development of infrastructure to help HopSkipDrive engineers test and ship safely through CI/CD, ephemeral environments, and AI-assisted testing and verification. Develop workflows where AI safely drafts test suites, scenarios, and verification artifacts while allowing engineers to oversee quality, evals, and safeguards. Establish cross-functional benchmarks for definin

We’re looking for a Staff 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 8+ 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 Excep

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a Staff Software Engineer on the team, you will shape Verkada's internal access management architecture, define technical strategy, and build the infrastructure used to provision, review, and audit access across the company. From evolving our in-house access platform to setting guardrails for AI-driven and agentic workflows, your technical leadership will directly impact every team at Verkada. What You'll Do Own the technical architecture of Verkada's internal access management platform, the system of record for employee, service, and non-human access across company resources. Design, build, and operate highly available, observable backend infrastructure for access provisioning and review, using modern backend languages and cloud-native tooling. Extend and harden integrations with identity providers (e.g. Okta) — custom roles, en

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Dev Environments team sits within DoorDash's Foundations group (Platform Engineering). We own the local and remote developer experience across the DoorDash group of companies supporting over 5000 engineers. Our mission is to enable engineering velocity, quality, and efficiency at significant scale by removing friction from the day-to-day developer loop: spinning up a working environment, getting code building, and getting feedback fast, whether the "developer" is a human or an AI agent. As a Staff Engineer on Dev Environments, you'll be recognised as an expert across the dev environments space, covering both local and remote dev flows, devcontainers, IDE/remote backends, and how they all fit together, including owning accountability for outcomes that span multiple teams. You'll set technical direction for the team's roadmap, unblock deep cross-cutting technical problems other engineers can't resolve alone, and mentor senior and mid-level engineers. You'll partner closely with engineering leadership across the group to translate ambiguous, company-wide developer-experience problems into a concrete, sequenced technical strategy. What You’ll Be Doing Technical direction Define the architecture for how thousands of engineers across DoorDash, Wolt, and Deliveroo actually develop and ship code: local and remote dev containers, remote IDE/VM lifecycle, and the full local-to-remote loop. Build monorepo dev tooling at scale. It's part of consolidating all the companies under DoorDash’s umbrella onto one global backend - you're setting the standard, not patching one org's tooling. Provision production-shaped environments in seconds, keep state in sync over the network, and make a

About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We are looking for a Staff Software Engineer to join our engineering team. This is a critical role for an experienced, hands-on technical leader with a broad and deep skillset across multiple languages such as JavaScript and JVM-based (Java/Kotlin) and strong experience building and scaling distributed systems in cloud environments such as AWS or Google Cloud. As a Staff Engineer, you will help drive the technical direction of aspects of our platform, setting high standards for system design, code quality, best practices and architectural clarity. You will collaborate across product and engineering to simplify complexity, improve reliability, and make deliberate trade-offs that empower our teams to move fast without sacrificing maintainability. This is a unique opportunity to join an early-stage company led by serial entrepreneur Andrew Filev (founder of a unicorn startup), and shape a product that is redefining how software is built. Key Responsibilities Act as a technical thought leader, setting a high bar for engineering quality. Be hands-on, writing code for new features, prototyping, refactoring existing code to meet best practices, etc. Lead design discussions and architecture reviews for high-impact projects. Collaborate with product, design, and research teams to define and evolve user-facing functionality with real developer impact. Evaluate trade-offs thoughtfully across performance, scalability, complexity, and cost and advocate for clear, maintainable solutions. Guide and mentor other engineers, helping them grow while raising the overall technical maturity of the team. Influence engineering culture, driving best practices in testing, observability, security, and cloud design. Essential Q

About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We're looking for an experienced engineer to raise the bar on how our organization builds, tests, ships, and operates software - for both human engineers and AI coding agents. This is AI harness engineering: the discipline of making the fundamentals (CI/CD, testing, IaC, observability, secure delivery) so solid and well-shaped that agents can work productively inside them. Developer experience and platform engineering are a subset of that work. When the harness is good, humans ship faster and agents stop getting stuck on things that shouldn't be hard. Security is inseparable from this. AI agents are accelerating both the pace and the shape of vulnerabilities, and secure delivery has to be built into the same stream as everything else - not bolted on. Product teams own their services, pipelines, and tests. Your job is to raise the ceiling across the org - defining standards, building leverage, and helping teams level up their workflows, tooling, infrastructure, security posture, and necessary changes to get the most out of coding agents. Key Responsibilities This is a hands-on lead role - you'll be deep in the code, infra, and pipelines yourself. Shape the platform and infrastructure that everything else runs on - the foundations product teams build on top of; Improve the full developer loop: local development, remote agents, CI/CD, deployment, observability; Build shared tooling, templates, and golden paths that create real leverage - paved roads teams actually want to use; Stay ahead of the shifting security landscape as AI agents reshape both how vulnerabilities emerge and how they're exploited. Essential Qualifications Strong software engineering background - you will be building both tooling and

About Us Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With our recent $5.2M Seed funding, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures Deal Intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling. With Oliv AI, sales teams can bring back focus on deals, strategy and conversation. About the Role We’re looking for an exceptional engineer to join the core team at Oliv AI. This is a high-ownership role for someone who can take an ambiguous product or engineering problem, figure out what actually needs to be solved, and drive it end-to-end from architecture and prototyping to production and iteration. You’ll primarily work on backend systems, but we don’t want engineers constrained by boundaries. If the problem requires frontend, infrastructure, data, AI/LLM integrations, or internal tooling, you should be comfortable figuring it out. We’re looking for someone with strong engineering judgment, someone who can spot what is not working, simplify complexity, think from the customer’s perspective, and improve the systems and practices around them. What You’ll Do Own complex, ambiguous engineering problems from first principles through production Design simple, scalable, reliable systems and make strong architectural trade-offs Think beyond the ticket and understand the customer problem behind what you’re building Identify technical or product issues proactively, not only when they are assigned Work across backend, frontend, infrastructure, data, and AI when needed Prototype quickly, test different approaches, and make decisions based on evidence Use mode

Location(s): US (remote), Boston (hybrid), New York (hybrid), San Francisco (hybrid) Bready* to make a change? Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we'll deliver on their needs for today while investing in the experiences that will power their restaurant of the future. Developer Experience builds the tools and platforms Toast engineers use to write, build, and understand their code. We own local development environments and the inner loop, build tooling and shared libraries, and the internal developer portal and self-service golden paths. We also empower developers across the company by building and maintaining the testing frameworks and core libraries used for developing web services. We contribute to the AI developer workflows that are changing how software gets built at Toast. Our goal is to make every engineer at Toast faster, more independent, and more confident in what they ship. We're looking for a Staff Software Engineer to set the technical direction for how Toast engineers build software. You'll pick the highest-leverage problems in the developer workflow, design solutions that work across hundreds of services and many teams, and stay hands-on while you build them. AI is quickly changing what developer tooling can do, and you'll help define what an AI-native developer experience looks like at Toast. About this roll* (Responsibilities) Set technical direction and long-term architecture across Developer Experience's areas: local development, build tooling, shared libraries, and the developer portal. Oversee the architecture of the testing frameworks and core libraries used for developing web services. Stay hands-on: design, build

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Android Platform team sets the technical direction for Android at Reddit. We design, build and support the Android app for millions of DAUs and the development ecosystem (libraries, frameworks, observability, and build/CI tooling) that every team uses to ship delightful Reddit experiences. As a Staff Android Engineer on the Android Platform team, you’ll set technical direction and lead cross-team initiatives for a large, multi‑team Android codebase, with a core focus on three pillars: Client Health (Crashes/ANRs/Performance), Developer Experiences, and App Architecture (modern and opinionated). You’ll turn ambiguous platform problems into a multi-quarter roadmap, align engineering partners, and stay hands-on from design and implementation through rollout and adoption. What you’ll do Lead technical decisions that will scale Reddit’s Android Platform to the next 100M+ DAUs, balancing long-term platform health with product delivery. Drive Developer Experience strategy to accelerate build and test cycles and improve release safety across teams. Architect Android Client Health and Observability foundations (events, traces, dashboards) to empower engineering teams to safeguard performance and reliability. Champion AI supercharged developer and agent workflows. Provide technical leadership and mentorship to senior engineers, elevating engineering standards across teams through architectural reviews, documentation, and technical guidance. What we expect from you 5+ years software development experience with 3+ years buildin

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the US or Canada. About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem. Responsibilities Design and build systems that improve the efficiency of ML training and inference workloads. Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance. Improve GPU and general resource utilization through scheduling, resource management, caching, and workload optimization. Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements. Build benchmarking frameworks and performance dashboards for training and serving systems. Optimize distributed training infrastructure, data pipelines, and model serving architectures. Lead cross-functional initiatives that improve the productivity of Reddit ML engineers. Drive technical strategy for ML platform scalability, reliability, and cost efficiency. Qualifications Required BS, MS, or PhD in Computer Science or a related field. 5+ years of software engineering experience. Strong proficiency in Python Profiency in at least one systems language (Go,

Staff Software Engineer - Agent Quality P-1567 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems. As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production. The impact you will have Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams. Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development. Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform. Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform. What we look for 6+ years industry experience building software systems Strong Python programming skills, with experience building produ

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 Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes o

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 We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch Establish metrics and tooling to measure and improve search quality Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: 5+ years building complex distributed systems in production Solid grasp of search fundamentals: indexing, retrieval, ranking Strong coding skills in Python, Go, Java, or similar languages Hands-on experience with high-volume data processing architectures The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, s

About Scale AI At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. Reinforcement learning environments are now the center of gravity for that work: the difference between a model that demos well and a model that reliably completes long-horizon work is almost always the quality of the environments and reward signals it was trained against. Responsibilities As a Staff Software Engineer, RL Environments, you'll own the technical foundation for how Scale builds, runs, verifies, and delivers RL environments at scale. An RL environment is a real piece of software: a containerized world with real dependencies, real state, real tools, and a grader that has to be correct even when the agent is creative about breaking it. Building one is a full-stack engineering problem. Building thousands of them reproducibly, cheaply, with trustworthy reward signals and throughput measured in millions of rollouts is a systems problem that very few people have solved. You'll work on both. You'll design the platform: sandboxed execution, environment packaging and versioning, rollout orchestration, trajectory capture, verifier frameworks, and the authoring surfaces that let engineers and domain experts produce environments without reinventing infrastructure each time. And you'll go deep on the environments themselves by instrumenting real applications, designing task suites that expose specific capability gaps, and building graders that