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We're looking for a Senior Software Engineer to join our product and engineering team. You'll work on a microservices architecture, owning meaningful parts of the product end-to-end — from requirements to production. Our engineers work closely with clients, so you'll have direct visibility into real-world impact. You'll work end-to-end across the full delivery lifecycle alongside product, QA, and other engineers to take problems from requirements to production. This is an early-stage company — you'll be building new features, tailoring the product for existing clients, and helping shape how we work as we grow.
Job Responsibility
Design, build, and maintain backend services in Go and Python across a microservices architecture deployed on Kubernetes
Own features end-to-end — from technical design through deployment and iteration
Work closely with clients and client-facing teams to understand requirements and translate them into reliable, scalable solutions
Write clean, well-tested, production-ready code and contribute to code reviews
Contribute to architectural decisions and help raise the technical bar across the team
Help maintain and improve existing client implementations alongside building new capabilities
Requirements
7+ years of software engineering experience with a strong backend focus
Production experience with Go and Python
Strong understanding of microservices and distributed systems
Experience with Kafka or similar message queue systems
Familiarity with Redis (or equivalent in-memory data stores) and MongoDB
Experience working with Kubernetes and containerised services in production
Comfortable with AWS and GitHub Actions CI/CD pipelines
Comfortable working in a fast-moving, ambiguous environment with high ownership
Strong communication skills
Genuine curiosity about AI and how it's reshaping how products are built
Nice to have
Hands-on experience with AI/ML systems, LLM integration, or agentic workflows
Exposure to vector databases or retrieval-augmented generation (RAG)
Experience in an early-stage or scaling startup
Background in security architecture or SRE practices