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Senior Backend Engineer

🌐 Remote💼 Full-time🗓 2026-07-30

Core

Designing, building, and scaling backend services and APIs for a Customer Experience Intelligence platform that analyzes feedback using AI to help brands improve customer experience.

Role type

Senior Backend Engineer (AI/Analytics)

Builds

Scalable backend services, APIs, and distributed data systems for Chattermill's core analytics platform.

Domain

AI/ML, Customer Experience Analytics, Cloud Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Python, Ruby, or Go; Distributed systems design; RESTful APIs; Event-driven architectures; Database performance optimization; Cloud platform management (GCP/AWS); Observability tooling (logging, tracing, alerting)

Preferred skills

LLM integration and prompt engineering; AI-assisted development workflows; Analytical databases (ClickHouse, BigQuery); NLP and text analytics; Elasticsearch; Asynchronous systems (Kafka, PubSub)

Technologies

GCP, AWS, Python, Ruby, Go, Kafka, PubSub, ClickHouse, BigQuery, Elasticsearch, Anthropic, OpenAI, MCP, Cursor, Copilot, Claude Code

Responsibilities

Design and maintain scalable backend services and APIs; Architect reliable distributed systems; Own end-to-end delivery of engineering workstreams; Integrate language models and AI pipelines into product services; Drive performance and observability across high-throughput systems; Collaborate with Product to define scope and technical solutions

Seniority

Senior, hands-on IC

Rewrite
## About the Role Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-evolving AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to help our clients identify what to do next. We're now looking for a talented Senior Backend Engineer to join the team! ## Responsibilities You'll be designing, building and scaling the backend services and APIs that power Chattermill's core analytics platform. Owning and driving the delivery of high-impact engineering workstreams and integrating AI capabilities into the product experience. This means you will: - 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. ## 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, 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. ## 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, Kafka, or equivalent. - Contributions to open-source projects, conference speaking, or public technical writing. ## Hiring Process - Let's introduce ourselves – you'll complete an introductory asynchronous interview - we'd love to learn more about you, your ambitions, and what you're looking for in your next step. - Show us how your work and reason - You'll meet with a member of our engineering team to complete a Live pseudo-code exercise. - Get to know your would-be team – You'll meet people you'll be working closely with from our Engineering team, and complete a System design and architecture-based interview. - Get to know your would-be manager – you'll have a call with Ugo Anomelechi, our VP of Engineering, to learn more about the role and show off your experience. - How our values and your career goals align – you'll have a call with our cofounder to learn more about life at Chattermill and ensure we're the right place for your next stage of growth. ## What We Offer ### Flexibility & Work Setup - 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 ### Time Off - 25 days holiday + local bank holidays, plus an extra day for each year of service - Your birthday off ### Growth & Ownership - Annual learning & development budget to support your growth (increasing over time) - Equity options — share in the company's success ### Health & Wellbeing - 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 ### Office Perks - If you're in London, a dog-friendly office with great classes, events, and a rooftop terrace ## About the Company We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach. We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust. We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us. We share a passion for growth & progress – On every level, we're motivated by taking on new challenges – even if they seem out of reach. We r
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