Full Stack Engineer

RemoteStar

. Build and maintain internal tooling that embeds AI into day-to-day engineering work, including coding assistants, AI-assisted test generation, deployments, and defect triage .

Posted 10/18/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive software engineering expertise with a strong focus on AI integration, automation, and observability in development processes. Proficient in test-driven development and capable of mentoring others in effective AI tooling usage.

Highest-signal resume keywords

Software EngineeringTest-Driven DevelopmentJavaReactAI Tooling Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringTest-Driven DevelopmentJavaReactAutomationAI IntegrationDefect ClusteringContinuous DeliveryLLM-Based Developer ToolsObservability

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

JiraConfluenceGitLabCI/CDMCPAgentic Tooling

Industry Keywords

Financial ServicesTrading PlatformsRegulated EnvironmentHigh-Reliability Environment

Tech Stack

Tools & technologies

JavaReactReact NativeSDLC

About the role

Key responsibilities & impact

Build and maintain internal tooling that embeds AI into day-to-day engineering work, including coding assistants, AI-assisted test generation, deployments, and defect triage
Contribute to observability in the AI-assisted pipeline
Identify manual coding, testing, and release steps that can run largely unattended and build automation for them
Split work into small, releasable pieces that ship continuously
Work closely with a product person to ground development in real delivery
Improve ways of working and drive AI adoption
Bring AI into the testing pipeline through exploratory test generation, defect clustering, flaky-test detection, and smarter test prioritisation
Evaluate and help roll out LLM-based developer tools such as Claude Code
Integrate developer tools safely with Jira, Confluence, GitLab, and CI/CD environments
Follow and refine responsible AI standards for SDLC data handling, prompt hygiene, and production/customer-data guardrails
Mentor less experienced engineers on effective use of AI tooling
Work with security and compliance on regulatory and data-handling requirements
Track AI-tooling metrics including cycle time, defect escape rate, test coverage, and delivery turnaround
Iterate based on performance data

Requirements

What you’ll need

Extensive background as a Software Engineer, with demonstrated technical judgement on production systems
Strong grounding in software engineering practice
Strong fluency in test-driven development and pair programming as working disciplines
Real ownership experience: designed features or systems, built them, deployed them, and supported them in production
Experience working across the stack
Strong depth in Java and the modern backend services ecosystem, or stronger front-end expertise in React / React Native with willingness to work across the stack
Genuine appetite for aggressive automation and 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

Benefits

Comp & perks

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 and 2 additional days off a year for voluntary work (28 in total)
Option to buy or sell holiday days
Comprehensive global and local onboarding process
Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave
Range of support and benefits for parents