Senior Full Stack Developer

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Senior Full Stack Developer.

You’ll be responsible for designing and building the applications, dashboards, and services that power our monitoring, alerting, and analytics capabilities. You’ll will work across the full technology stack—from backend data services and APIs to interactive frontend visualisations—helping teams gain clear, actionable insight into the health and performance of business‑critical systems. This role also includes building and supporting real‑time streaming solutions on Confluent Kafka to feed the observability platform with reliable, high‑quality telemetry data.

Increasingly, you’ll be involved in applying AI and machine learning to observability—building intelligent capabilities such as anomaly detection, predictive alerting, automated root‑cause analysis, and AI‑assisted insights. You will help embed AI engineering practices into the platform, integrating models and LLM (large language models) -powered features that turn raw telemetry into proactive, actionable intelligence.

As an HSBC employee in the UK, 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.

In this role you’ll:

Build and run the full‑stack observability platform, design, develop, and maintain end‑to‑end applications for metrics, logs, and traces, covering both frontend and backend

Develop telemetry ingestion and API services, building backend services/APIs that ingest, process, store, and expose telemetry data reliably and at scale

Deliver user‑friendly visualisation experiences, create responsive dashboards and UI workflows that help engineers explore, correlate, and act on observability signals quickly

Integrate with the observability ecosystem and connect the platform with tools and data sources such as Prometheus, Grafana, Splunk, OpenTelemetry, and event platforms like Kafka

Engineer reliable real‑time streaming pipelines to build and integrate Kafka Streams / Kafka Connect pipelines to move telemetry through the platform with appropriate throughput and latency

Ensure resilience, delivery semantics, operational robustness, implement error handling, delivery guarantees, retries, and DLQ patterns; design for recoverability and safe failure modes

Embed AI/ML‑driven intelligent observability features whilst designing and integrate capabilities like anomaly detection, forecasting, predictive alerting, noise reduction, and automated root‑cause analysis into the product

Operationalise LLM capabilities with strong AI engineering and MLOps, and deliver production‑grade LLM features (NLQ over telemetry, summarisation, incident triage, on‑call copilots) using prompt engineering, RAG, evaluation, and guardrails; collaborate with DS/ML teams on model versioning, monitoring, retraining, and drift detection, including low‑latency inference in streaming/serving paths

To be successful in this role you should meet the following requirements:

Strong experience in full‑stack software engineering (production‑grade) – proven delivery of end‑to‑end applications in live environments

Backend development & API design – strong in Java/Python/Go/Node.js plus RESTful API design and integration patterns

Good experience of data visualisation / observability UI experience with Grafana panels, D3.js, charting libraries, and data‑driven dashboards

Applied AI/ML engineering in production – building or integrating AI capabilities (e.g., anomaly detection, forecasting, features) including familiarity with LLM APIs, prompting/RAG/embeddings/vector DBs, and the model lifecycle/MLOps basics

Solid understanding of SQL/NoSQL and handling time‑series storage/querying concepts

Observability concepts & tooling, practical knowledge of metrics, logs, traces, and how to instrument/consume them

Hands‑on integration with Kafka (or equivalent streaming platforms)

Opening up a world of opportunity

Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces - no matter their gender, ethnicity, disability, religion, sexual orientation, socio‑economic background or age. We are committed to removing barriers and ensuring careers at HSBC are inclusive and accessible for everyone to be at their best. We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.

If you have a need that requires accommodations or changes during the recruitment process, please get in touch with our Recruitment Helpdesk via [email protected] .