Chattermill
Customer Experience Intelligence
SeniorBackendEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Backend Engineer at Chattermill. Skills: Backend services, Distributed systems, AI capabilities, Cloud infrastructure. Design backend services. Build backend services”
What You'll Achieve.
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
Industry & Context.
Scalable system design; Architectural thinking; Distributed systems; RESTful APIs; Event-driven architectures; Database performance optimisation; Observability tooling; Production operations; Incident response; Prompt engineering; AI-assisted development; Analytical databases; Customer feedback analytics; NLP; Text analytics; Search infrastructure; Asynchronous systems
What They're Looking For.
Must Have
professional experience operating as a senior backend engineer within high-ownership product engineering teams, 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
What You'll Do.
Design backend services
Build backend services
Scale backend services
Own delivery of workstreams
Integrate AI capabilities
Architect distributed systems
Contribute to backend design
Contribute to infrastructure evolution
Own end-to-end delivery
Integrate language models
Integrate agentic frameworks
Integrate AI pipelines
Work with cloud infrastructure
Work with distributed systems
Collaborate with Product
Shape technical solutions
Explore platform capabilities
Contribute to engineering excellence
Architectural discussions
Improve development standards
How You'll Work.
Team & Collaboration
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; Meet with people you'll be working closely with from our Engineering team
Process & Methodology
Own end-to-end delivery of backend engineering workstreams
Full Job Description
SENIOR BACKEND ENGINEER 🌍 UK / Europe (Remote or Hybrid, it’s up to you!) 💰 Dependent on experience 📈 Be part of our success with the opportunity to join our equity scheme 🦸♀️ 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! 👉 What you'll be doing: 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
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