Full Stack Engineer (London)

Remotestar; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Flexible benefits (12%)

Private medical cover for you and your

family

Life insurance

Job summary

RemoteStar is hiring a Senior Full Stack Engineer (AI enablement) for Lifecycle. You will own AI-powered tooling, work across the Java backend and frontend, and ensure safe integration with Jira, Confluence, and GitLab. The role focuses on delivering robust software with strong testing and ownership from design to production.

You will collaborate with product, security, and operations to ship reliable features and drive AI adoption across the lifecycle stack.

Qualifications

• Strong production software engineering background.
• Experience across frontend and backend on the same stack.
• Proven test-driven development and paired programming discipline.

Responsibilities

• Build and maintain internal tooling embedding AI into engineering workflows.
• Improve observability for the AI-assisted pipeline to monitor tooling activity.
• Automate repetitive steps in coding, testing and release processes.
• Deliver small, releasable work chunks with continuous shipping.
• Collaborate with product to ensure delivered features align with business needs.
• Advance responsible AI use in SDLC, data handling, and guardrails.
• Mentor junior engineers on AI tooling usage and practices.
• Work with security/compliance to meet regulatory data handling standards.

Skills

Java

React/React Native

TDD

Paired Programming

AI-assisted coding

Tools

Jira

Confluence

GitLab

Job description

At RemoteStar, we\'re hiring for one of our clients - a FTSE250globalfintechcompany in online trading with over 45 years of industry experience.

Job title

Senior Full Stack Engineer - (AI enablement) Lifecycle

Key Skills

Java, React / React Native, TDD, Paired Programming, AI-assisted coding

Your team

We\'re looking for a Senior Full Stack Engineer to push hard on AI across Lifecycle engineering: AI-assisted coding, testing and deployments, defect triage and observability, and the internal tooling that connects our AI tools safely to Jira, GitLab, and our CI/CD pipeline. This is a hands-on role on our Java backend. You\'ll build tooling yourself, and you\'ll help set how your team adopts it.

Your role in the Team\'s Success

This role suits engineers with a strong grounding in software engineering practice: test-driven development, pair programming, and real ownership of systems from design through to production support, with real depth in Java and the modern backend services ecosystem. The fundamentals matter most: engineers who can write their own tests, review their own designs, and catch their own defects, and who use AI to extend that practice further and faster. Growing into the person the whole group comes to for technical judgement is part of the role.

What you\'ll do

• Build and maintain internal tooling that embeds AI into day-to-day engineering work: coding assistants, AI-assisted test generation, deployments, and defect triage.
• Contribute to observability in the AI-assisted pipeline, so every stage shows what the tooling is doing, catching, and missing.
• Identify manual steps in coding, testing, and release that can run largely unattended, and help build the automation to get there.
• Split work into small, releasable pieces that ship continuously.
• Work closely with a product person on your product domain, so what you build is grounded in real delivery.
• Treat improving ways of working and driving AI adoption as a fundamental, ongoing part of delivering value.
• Work with the test and PM function to bring AI into the testing pipeline: exploratory test generation, defect clustering, flaky-test detection, and smarter prioritisation of what to test.
• Evaluate and help roll out LLM-based developer tools, for example Claude Code and similar, integrating them safely with our Jira, Confluence, and GitLab environments.
• Follow and help refine standards for responsible AI use in the SDLC: data handling, prompt hygiene, and guardrails around production and customer data.
• Mentor less experienced engineers on effective use of AI tooling.
• Work with security and compliance to make sure AI tooling meets our regulatory and data-handling requirements.
• Track the metrics that show whether AI tooling is helping: cycle time, defect escape rate, test coverage, delivery turnaround. Iterate based on what the data shows.

What you\'ll need for this role

• Extensive background as a Software Engineer, with demonstrated technical judgement on production systems.
• We\'ll consider those stronger in front end React / React Native or hands-on expertise in Java or a comparable backend service ecosystem - as long as you have experience in and are happy working across the stack.
• Strong fluency in test-driven development and pair programming as working disciplines.
• Real ownership experience: you\'ve designed features or systems, built them, deployed them, and supported them in production.
• A genuine appetite for aggressive automation. You get energised by removing manual steps entirely.
• Some experience evaluating or using LLM-based developer tools in a real engineering environment.

Preferred

• Experience with MCP, agentic tooling, or Spec Driven Development.
• Familiarity with the Atlassian ecosystem (Jira, Confluence) and its APIs.
• Prior experience in financial services, trading platforms, or another regulated, high-reliability environment.

Perks

• Competitive salary
• Flexible Benefits Package on top of your salary (12%)
• Private medical cover for you and your family
• Life insurance
• Contribution to gym memberships
• 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total)
• The option to buy or sell holiday days
• A comprehensive global and local onboarding process
• Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents