Developer Experience Lead Jobs

The Engineering Lead Analyst – SonarQube & Code Quality Engineering is a senior-level engineering role responsible for leading static code analysis, automated code quality governance, security vulnerability remediation, and AI-augmented developer enablement across enterprise software delivery pipelines. In this role, you will champion software reliability, maintainability, clean-coding standards, and automated quality gates. You will partner with development teams, system architects, and platform engineering to integrate and manage enterprise-scale code quality platforms (such as SonarQube) both on-premises and in cloud/SaaS environments. Additionally, you will drive modern engineering practices by embedding Behavior-Driven Development (BDD) within your own software delivery and leveraging Agentic AI workers and Model Context Protocol (MCP) architectures to optimize developer experience, streamline code governance, and boost engineering velocity. Key Responsibilities 1. Code Quality & Static Analysis Platform Ownership Lead the architecture, deployment, administration, and continuous enhancement of enterprise Static Application Security Testing (SAST) and Code Quality platforms (e.g., SonarQube , DeepSource, Codacy, Semgrep). Configure, calibrate, and enforce automated Quality Gates, code rulesets, technical debt calculation models, and code-coverage baselines across multi-language enterprise repositories. Oversee version upgrades, patching, high availability, and operational maintenance for on-premises and SaaS/cloud-hosted code quality infrastructure. 2. CI/CD & Pipeline Integration <li style=

We are looking for a Senior Staff Software Engineer to play a key leadership role in our Developer Productivity group and drive developer velocity and fundamentally change the software development lifecycle with AI. The scope spans across the stack including tooling, frameworks, and infrastructure to provide full leverage in the developer experience for every software developer at Asana. Some of the teams’ current work include building out our internal agentic harness, setting up our online/offline developer evals, and increasing the effectiveness of our automated validation loop. The importance and scope of this work has grown significantly in the last year, and we need someone operating at the group level to help sequence and execute it. This role can be based in our New York or San Francisco offices with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive critical developer productivity and AI developer tooling projects that impact 500+ developers at Asana Partner with the Developer Productivity Group Tech Lead to define technical vision and strategy for 6+ engineering teams, all focused towards improving velocity for Asana engineers Build and align on the roadmap for Asana's development platform to drive faster development lifecycle feedback loops and uplevel how every Asana engineer ships Own key outcomes like extending the internal tooling engineers use to delegate work to agents across harnesses Mentor senior and staff-level engineers in Developer Productivity and across Foundations and the rest of the Engineering organization Act as a resource for team-level tech leads on topics like longer-term technical planning, design &amp

We are looking for a Senior Staff Software Engineer to play a key leadership role in our Developer Productivity group and drive developer velocity and fundamentally change the software development lifecycle with AI. The scope spans across the stack including tooling, frameworks, and infrastructure to provide full leverage in the developer experience for every software developer at Asana. Some of the teams’ current work include building out our internal agentic harness, setting up our online/offline developer evals, and increasing the effectiveness of our automated validation loop. The importance and scope of this work has grown significantly in the last year, and we need someone operating at the group level to help sequence and execute it. This role can be based in our New York or San Francisco offices with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive critical developer productivity and AI developer tooling projects that impact 500+ developers at Asana Partner with the Developer Productivity Group Tech Lead to define technical vision and strategy for 6+ engineering teams, all focused towards improving velocity for Asana engineers Build and align on the roadmap for Asana's development platform to drive faster development lifecycle feedback loops and uplevel how every Asana engineer ships Own key outcomes like extending the internal tooling engineers use to delegate work to agents across harnesses Mentor senior and staff-level engineers in Developer Productivity and across Foundations and the rest of the Engineering organization Act as a resource for team-level tech leads on topics like longer-term technical planning, design &amp

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About The Role: Vercel is hiring a Strategic Product Partnerships Lead to develop first-of-a-kind partnerships that inflect the company's growth. Done well, these partnerships open distribution for our products, create new pipeline for our field teams, and/or add new capabilities to our platform. This is a highly cross-functional and technical role: you will spend as much time with product and engineering leaders as with commercial ones, both with partners and with Vercelians. You will report to the Head of Strategic Partnerships and own a named set of partners that includes hyperscalers, frontier AI labs, silicon vendors, and commerce and enterprise software platforms. The work takes a different shape with each one, but the common thread is that these partnerships live close to the product: embedding Vercel inside a partner's platform, co-building new products, taking a joint offering to enterprises that neither company could sell alone. Structuring a deal means both understanding the technical components well enough to know what a partnership makes possible and understanding what the business impact could be if done successfully. We expect candidates to demonstrate significant experience delivering complex deal work, creating and driving strategy, working with cross-functional teams to launch new initiatives, and initiating first-of-a-kind partnerships. We are looking for someone with a strong sense of ownership who performs at a senior level and does their best work with limited direction. This is a hybrid position, requiring 3 days per week in

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: The Partner team at Vercel is charged with accelerating our growth with partners. As a Partner Lead, EMEA, you will play a pivotal role in helping to establish and grow our partner ecosystem with Technology and Solution partners. This is a senior individual contributor role for a builder. You will define the strategy, activate priority partners, and generate meaningful partner-sourced and partner-influenced pipeline. You’ll work cross-functionally across Sales, Marketing, Product, and Leadership to establish Vercel as a strategic platform within the EMEA ecosystem. If you are energized by creating net-new revenue streams, shaping GTM strategy with partners, and turning early-stage relationships into scaled growth engines, this role is for you. What you will do: Build and Scale the EMEA Partner Ecosystem Define and execute Vercel’s regional partner strategy across EMEA-wide Technology and Solution partners. Identify, recruit, and activate high-impact regional and global partners, including regional GSIs and strategic ISVs at the regional level. Establish scalable engagement models and joint value propositions that drive measurable pipeline and revenue. Drive Partner-Sourced & Influenced Revenue Develop joint GTM plans with partners to generate partner-sourced and partner-influenced pipeline. Lead co-sell motions, account mapping, and opportunity acceleration in partnership with regional Sales leaders. Own revenue targets tied to partner performance and ecosystem contribution. Develop Strategic Relationships Build executive-level

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel is hiring a Strategic Cloud Partnerships Lead to own and grow our relationships with the cloud and infrastructure companies that underpin our platform and help us reach enterprise customers. This role sits at the intersection of infrastructure, product, and go-to-market. You will work with Vercel’s Product and Engineering teams to understand how we use our partners’ infrastructure today, identify where deeper technical collaboration could improve our platform or economics, and turn those opportunities into executable partnership strategies. At the same time, you will build joint go-to-market motions that create pipeline, accelerate enterprise deals, and make Vercel more strategic to our partners’ field organizations. You will report to the Head of Strategic Partnerships and own a named set of cloud partners end to end. You will work across those partners’ product, engineering, sales, marketplace, and executive teams, connecting technical opportunities with commercial outcomes. This is not a role for someone who only manages relationships or coordinates partner programs. You will need the technical depth to understand how Vercel is leveraging—or could leverage—a partner’s compute, networking, storage, security, data, and AI infrastructure. You will also need the commercial judgment and executive presence to build a joint business case, mobilize two organizations, and hold your own in conversations with sophisticated enterprise customers. We are looking for someone with strong ownership who operates at a senior level, moves co

Job Requisition ID # 26WD101417 L'affichage de poste en français suivra / The French job posting follows. 26WD101417, Software Engineering Manager, Global Developer Relations Position Overview Autodesk is looking for an experienced Software Engineering Manager to lead and transform our global Developer Relations organization. In this role, you will lead engineering teams responsible for developer support, onboarding, training, and enablement across Autodesk's cloud and engineering platforms, including CI/CD, observability, CloudOS, and cloud infrastructure. Your primary mission is to modernize the developer experience using AI, automation, and intelligent self-service solutions , helping thousands of Autodesk developers become more productive. We are looking for a strong technical leader who combines deep software engineering expertise, hands-on experience delivering AI solutions, and a proven ability to build and lead high-performing teams. This is an opportunity to shape the future of developer productivity at Autodesk, with significant ownership of technical strategy, team development, and execution. Responsibilities Engineering Leadership Lead, develop, and grow high-performing engineering teams across multiple locations. Define the technical strategy and roadmap for Developer Relations, support, onboarding, training, and developer productivity. Build a strong engineering culture focused on innovation, ownership, quality, and cont

About the Team Come help us build and develop tools serving hundreds of engineers internally! We’re looking for a Fullstack Software Engineer to join our Developer Insights team. About the Role Our mission is to improve the developer experience of engineers at DoorDash by building various internal products, including our internal developer portal, Developer Insights. Our success as a platform team depends on the success of the product teams we serve. Because of this, we invest in building a strong community that encourages participation and promotes best practices. You’re excited about this opportunity because you will… Introduce cutting edge technologies to our engineering organization, including tools built on LLMs Build new features for Developer Insights (using Backstage.io) Improve the developer experience for all of our engineers Work and collaborate across team boundaries. Contribute features and bug fixes to upstream open-source projects. Mentor and educate your peers. Lead the team in a technical fashion and assist in roadmap planning and measurement of existing features. Represent the team at large in OKR and engineering all-hands presentations. Context switch from frontend to backend to data depending on the need that arises. We’re excited about you because… You have at least 2 years of experience in web technologies using Typescript with React on the frontend with Java, Kotlin, Python or Go backend experience. You have a product mindset and apply that to how you would build out platform services. You love systems and software, and you're proficient in both. You’re curious and dive deep into different system architectures. You are an organized and excellent written and verbal communicator. You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Compensation The successful candidate’s starti

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform. Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations. Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency. Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products. Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions. Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence. Who You Are: You have experience designing and building large-scale SaaS or cloud platforms with deep expertise i

As a Staff Engineer on the Data Platform Experience team, you'll help shape how Datadog engineering teams build, operate, and evolve products on the Observability Data Platform. You'll lead the design and delivery of shared platform capabilities that reduce developer friction, improve operational visibility, and enable engineering teams to move faster with confidence. This role combines deep distributed systems expertise with technical leadership across multiple teams, influencing platform strategy while remaining hands-on in the code. You'll have the opportunity to solve company-wide challenges spanning cost intelligence, operational tooling, platform health, and developer experience. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead strategic engineering initiatives that improve how product teams build, operate, and evolve services on the Observability Data Platform. Design and build scalable platform capabilities for cost intelligence, including cloud cost allocation, trend analysis, and optimization recommendations. Develop operational intelligence and self-service tooling that helps engineering teams understand platform health, troubleshoot incidents, and improve operational efficiency. Drive reusable platform services and developer workflows that increase engineering autonomy while reducing operational complexity across multiple products. Provide technical leadership across teams by influencing architecture, mentoring engineers, and raising engineering standards through hands-on technical contributions. Participate in the team's on-call rotation and continuously improve platform reliability, observability, and operational excellence. Who You Are: You have experience designing and building large-scale SaaS or cloud platforms with deep expertise i

P-1584 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Lakebase enables teams to deliver applications faster with an optimised database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding leaders building out both the Lakebase product and our London presence. This is a Tech Lead Manager role: a hands-on technical leader who guides a small team of around five engineers while staying deep in the engineering work. You'll spend the majority of your time hands-on — driving architecture and design, solving the hardest problems in your team's projects, aligning with partner teams on dependencies, and writing code — and the rest leading and growing the engineers around you, who will report directly to you. It's role for a strong senior engineer who wants to lead a team and take on people management without stepping away from the technical work. The team you will lead (one of): Lakebase Platform Reliability (LPR) — Constantly evolve Lakebase reliability: cross-functional infrastructure, observability, SLI/SLO definition and measurement, and higher operational efficiency without humans-in-the-loop, for both internal and customer-facing systems, by building AI-powered automation and serv

About the Team Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters. Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale. About the Role We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks. You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training. In this role, you will Design and build a unified dataset read platform for multiple current and future training frameworks. Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable. Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts. Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late

MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development process and a strong foundation of shared tools and services. We are looking for a Senior Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring fast software deployability, leveraging AI native approaches. We are open to in-office, flexible or remote hiring across Canada. The Team The Pipeline organization sits within Developer Productivity and is responsible for the systems, services, and user experiences that define MongoDB’s software delivery ecosystem. This is mission-critical infrastructure operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams around a cohesive strategy. Candidate Profile We’re looking for a senior engineering leader who can unify product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and cross-functional change. They should be comfortable owning a broad portfolio that spans developer experience, reliability and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term delivery with long-term platform function. The right candidate for this role will 12+ years of hands-on software engineering experience bui

MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development process and a strong foundation of shared tools and services. We are looking for a Senior Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring fast software deployability, leveraging AI native approaches. We are open to in-office, flexible or remote hiring across the US. The Team The Pipeline organization sits within Developer Productivity and is responsible for the systems, services, and user experiences that define MongoDB’s software delivery ecosystem. This is mission-critical infrastructure operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams around a cohesive strategy. Candidate Profile We’re looking for a senior engineering leader who can unify product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and cross-functional change. They should be comfortable owning a broad portfolio that spans developer experience, reliability and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term delivery with long-term platform function. The right candidate for this role will 12+ years of hands-on software engineering experience bui

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal builds AI infrastructure products that developers love. That's how we grew so quickly, and why word of mouth remains one of our most important channels today. In this role, you will primarily create and distribute technical content that is unique, educational, and practical. This content will be the first Modal touchpoint for many of our users. We want to not only showcase the power and developer experience of Modal, but also serve as a trusted resource for them when implementing new AI technologies. In this role, you will: Distill the latest advancements in AI technology and educate developers on how to incorporate them. Give demos/talks about Modal and adjacent tools at developer events. Engage with users in our community, both online (X, LinkedInReddit, Slack) and at in-person events. Build relationships, integrations, and joint marketing activities with other developer-focused companies