Note: The job is a remote job and is open to candidates in USA. Chattermill is a company dedicated to enhancing customer experience for major brands like Uber and Amazon. They are seeking a Senior Backend Engineer to design, build, and scale backend services and APIs for their analytics platform, while integrating AI capabilities and ensuring system performance and reliability.
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 to 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 and features
- Contribute to engineering excellence through code reviews, architectural discussions, and continuous improvement of development standards across the team
Skills
- 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, although 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
- 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, Kafka, or equivalent
- Contributions to open-source projects, conference speaking, or public technical writing
Benefits
- Dependent on experience
- Be part of our success with the opportunity to join our equity scheme
- Flexible working in a choice-first environment - we trust the way you want to work!
- 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 to support your growth (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) for extra support when you need it
- Enhanced family leave (location dependent), plus fertility and neonatal leave
- If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace
Company Overview