Senior Full Stack Engineer – AI-Driven Lifecycle Tools

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

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.