Senior Backend Engineer

Stack

Responsibilities

• ▹Design, build, and maintain scalable backend services and APIs that power Chattermill's core analytics platform
• ▹Architect reliable, maintainable distributed systems and contribute to the evolution of backend service design and infrastructure
• ▹Own end-to-end delivery of backend engineering workstreams, from technical scoping and architecture through implementation, testing, observability, and production support
• ▹Integrate language models, agentic frameworks, and AI pipelines into core product and backend services
• ▹Drive performance, reliability, and observability across high-throughput distributed data systems, including logging, tracing, alerting, and incident response
• ▹Work with cloud infrastructure and distributed systems in GCP (preferred) or AWS environments
• ▹Collaborate closely with Product to define scope, shape technical solutions, and explore new platform capabilities
• ▹Contribute to engineering excellence through code reviews, architectural discussions, and continuous improvement of development standards

Requirements

• ▹Strong professional experience operating as a senior backend engineer within high-ownership product engineering teams
• ▹Strong proficiency in at least one modern backend language such as Python, Ruby, or Go, with a focus on scalable system design and architectural thinking
• ▹Solid understanding of distributed systems, RESTful APIs, and event-driven architectures
• ▹Experience optimising database performance at scale, including query tuning, indexing, and partitioning across large production datasets
• ▹Cloud platform experience, ideally within GCP environments, though AWS experience is also valued
• ▹Hands-on experience with observability tooling and production operations, including logging, tracing, alerting, and incident response
• ▹Proven ability to independently deliver backend features and technical projects in fast-paced product environments

Nice to have

• ▹Experience integrating LLMs, prompt engineering techniques, or agentic frameworks such as Anthropic, OpenAI, or MCP
• ▹Familiarity with AI-assisted development workflows and tools such as Cursor, Copilot, or Claude Code
• ▹Experience working with ClickHouse, BigQuery, or other analytical databases supporting large-scale analytical workloads
• ▹Experience with customer feedback analytics, NLP, or text analytics platforms
• ▹Familiarity with Elasticsearch or large-scale search infrastructure
• ▹Experience building asynchronous or event-driven systems using technologies such as PubSub or Kafka
• ▹Contributions to open-source projects, conference speaking, or public technical writing

Soft skills

What we offer

• ▹Flexible working in a choice-first environment
• ▹Work-from-home allowance to set up your ideal workspace
• ▹25 days holiday + local bank holidays, plus an extra day for each year of service
• ▹Your birthday off
• ▹Annual learning & development budget, increasing over time
• ▹Equity options — share in the company's success
• ▹Monthly health & wellbeing budget, increasing with length of service
• ▹Optional private healthcare plan
• ▹Life assurance & income protection (location dependent)
• ▹Employee Assistance Programme (location dependent)
• ▹Enhanced family leave, plus fertility and neonatal leave
• ▹Dog-friendly office in London with great classes, events, and a rooftop terrace

About the company

Chattermill's mission is to help large, successful brands like Uber, Amazon, Wise, and HelloFresh put their customers at the centre of everything they do. Using best-in-class technology in a fast-evolving AI space, their Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to help clients identify what to do next.