Senior Software Engineer | Full Stack (AI Customer Support and Safety)

Key Responsibilities

• Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
• Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
• Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
• Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
• Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
• Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
• Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
• Drive technical research and design for new features. Weigh trade-offs and write them down.
• Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.

Skills, Knowledge & Expertise

• 5+ years of commercial software engineering, with production work on both backend and frontend. You have written production code without coding agents.
• Strong Go: you know and have used its advanced features in production.
• Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
• Hands-on experience building and running AI agents in production
• Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
• Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
• Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
• Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
• Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
• Git workflows and code review, comfortable Linux command line, and networking basics.
• Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
• Experience using AI coding agents with full review of generated changes.

Benefits

• Help us challenge injustice by creating fair choices for millions of people across 47 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.