Salary: £40,000 - 75,000 per year
Requirements: - Strong experience in full-stack software engineering in production environments, with delivery of end-to-end applications in live environments
- Strong backend development and API design skills in Java, Python, Go, or Node.js, including RESTful API design and integration patterns
- Experience with data visualisation and observability UI work, including Grafana panels, D3.js, charting libraries, and data-driven dashboards
- Applied AI/ML engineering experience in production, including AI capabilities such as anomaly detection and forecasting, plus familiarity with LLM APIs, prompting, RAG, embeddings, vector databases, and model lifecycle/MLOps basics
- Frontend engineering experience with JavaScript/TypeScript and React, Angular, or Vue, building performant and maintainable UIs
- Solid understanding of SQL/NoSQL and time-series storage and querying concepts
- Practical knowledge of observability concepts and tooling, including metrics, logs, traces, and how to instrument and consume them
- Hands-on integration experience with Kafka or equivalent streaming platforms
Responsibilities: - Build and run the full-stack observability platform, designing, developing, and maintaining end-to-end applications for metrics, logs, and traces across both frontend and backend
- Develop telemetry ingestion and API services that ingest, process, store, and expose telemetry data reliably and at scale
- Deliver user-friendly visualisation experiences by creating responsive dashboards and UI workflows that help engineers explore, correlate, and act on observability signals quickly
- Integrate the platform with observability tools and data sources such as Prometheus, Grafana, Splunk, OpenTelemetry, and Kafka-based event platforms
- Engineer reliable real-time streaming pipelines using Kafka Streams and Kafka Connect to move telemetry through the platform with appropriate throughput and latency
- Ensure resilience and operational robustness by implementing error handling, delivery guarantees, retries, DLQ patterns, recoverability, and safe failure modes
- Embed AI and ML-driven observability features such as anomaly detection, forecasting, predictive alerting, noise reduction, and automated root-cause analysis
- Operationalise LLM capabilities with strong AI engineering and MLOps, delivering production-grade features such as NLQ over telemetry, summarisation, incident triage, and on-call copilots using prompt engineering, RAG, evaluation, and guardrails
- Collaborate with DS and ML teams on model versioning, monitoring, retraining, drift detection, and low-latency inference in streaming and serving paths
Technologies: - AI
- API
- Angular
- Backend
- D3
- Frontend
- Grafana
- Support
- Java
- JavaScript
- Kafka
- LLM
- MLOps
- NoSQL
- OpenTelemetry
- Prometheus
- Python
- RAG
- React
- SQL
- Splunk
- TypeScript
- Vue
- UX UI Design
- NodeJS
- Machine Learning
- Fullstack
More:
We are HSBC, one of the largest banking and financial services organisations in the world, operating in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and helping people fulfil their hopes and realise their ambitions. We are seeking an experienced Senior Full Stack Developer to join our team in the UK, where you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. We are committed to creating diverse and inclusive workplaces and removing barriers so careers with us are inclusive and accessible for everyone.
last updated 36 week of 2026