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Wolt is seeking a Senior Software Engineer (front-end-leaning) to join the Operations Foundations team, which sits within the DoorDash Client and AI Development group. This team is responsible for the foundational platform that hundreds of engineers across Wolt, DoorDash, and Deliveroo rely on to build internal operations tools. The platform hosts 250+ micro-frontends (MFEs) used to operate every part of the business.
The Operations Foundations team focuses on building a scalable, reliable, and high-quality internal tooling platform. The team plays an important role in improving how engineers build, test, and ship software across the organization, with a strong emphasis on reusable libraries, micro-frontend architecture, and agentic development—building the platform where AI agents can take changes from task to merged PR safely and reliably without lowering the quality bar.
Current priorities include unifying frontend platforms, evolving shared components and library development, improving developer productivity, and enabling teams to deliver more independently through better architecture and tooling.
In this role, you will take ownership of complex technical initiatives across both frontend and sometimes backend and infrastructure domains. You'll work primarily with TypeScript, React, Node.js, CI/CD pipelines (GitHub Actions, Buildkite), and MFE architecture to build scalable, maintainable solutions that support multiple product teams and business areas.
Key responsibilities include:
- Owning the runtime, build, deployment, and developer experience that 250+ MFEs and hundreds of engineers depend on daily
- Evolving the micro-frontend architecture to improve composition, isolation, and shared dependency strategies
- Independently driving projects from idea to production: breaking down ambiguous problems into clear technical plans, estimating delivery, identifying risks early, and delivering high-quality solutions
- Championing best practices, raising the bar for code quality, and turning lessons learned into platform improvements
- Balancing short-term feature unblockers with long-term health, security, and maintainability of the platform
- Building foundations that let AI agents work autonomously on the platform, including agent instructions, reusable skills, tool integrations, guardrails, and automated checks
- Working agent-first in your day-to-day: delegating implementation to agents and focusing your judgment on direction, architecture, and verifying outcomes
Success in this role means becoming a trusted technical owner who consistently delivers reliable solutions and helps the team execute more effectively. Within six months, you should be independently leading technical initiatives and contributing meaningfully to architecture and delivery planning.
REQUIREMENTS:
- Proven expertise in building production frontend applications using TypeScript and React
- Solid backend knowledge; comfortable owning and operating Node.js services that support frontend infrastructure
- Strong knowledge of frontend build tools, bundlers, and module systems, with the ability to evolve them as the platform grows
- Track record of diagnosing and resolving complex performance, reliability, or developer experience issues in large frontend codebases
- Experience driving technical initiatives across multiple engineering teams and stakeholders
- Strong stakeholder management skills: aligning priorities, managing expectations, and communicating trade-offs clearly with partner teams and leadership
- Strong communication skills and a collaborative, platform-mindset approach to working with feature teams
- Strong documentation skills, including experience writing RFCs or ADRs
NICE TO HAVES:
- Experience with micro-frontend architecture
- Frontend platform engineering experience
- Experience building shared component libraries used by many product teams
- Hands-on experience with CI/CD pipelines, deployment processes, and cloud infrastructure for frontend workloads
- Experience or interest in observability and reliability (SRE)
- Experience building tooling or workflows for autonomous AI coding agents (e.g., agent instructions, skills, MCP servers, or evaluating agent-generated code)
