Senior Full-Stack Engineer: AI, Cloud & Leadership

Humand Talent Ltd.; West of England; In loco; GBP 70.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual leave up to 28 days

Private medical insurance

Life assurance

24/7 virtual GP service

Season ticket loan

Cycle scheme

Pension advisory

Descrizione del lavoro

Humand Talent Ltd. is seeking a Senior Software Engineer to join a fast-growing, R&D-focused technology team in the UK on a fixed-term contract.

You’ll own projects from concept through deployment, mentoring engineers and potentially stepping into line management as the team evolves. You’ll work across React, TypeScript, Python and cloud-native stacks (Docker, Kubernetes, Helm, AWS), collaborating with ML engineers and product managers to deliver production-ready software and data-driven

Competenze

• Strong commercial software engineering experience.
• Experience with Python, TypeScript, relational databases and APIs.
• Familiarity with Docker and Kubernetes, Kubeflow or AWS.
• Experience with CI/CD, version control, containerisation and cloud deployment.

Mansioni

• Own engineering challenges across the stack and contribute to production-quality deployments.
• Lead projects end-to-end, mentor engineers and grow technical leadership.
• Collaborate with AI scientists and product managers on data-driven solutions.
• Influence engineering standards, tooling and deployment practices.

Conoscenze

React

TypeScript

Python

Node.js

PostgreSQL

Docker

Kubernetes

Helm

AWS

CI/CD

DevOps

AI collaboration

Formazione

STEM degree or equivalent practical experience

Strumenti

Kubeflow

Docker

Kubernetes

AWS

Descrizione del lavoro

Humand Talent Ltd. is seeking a Senior Software Engineer to join a fast-growing, R&D-focused technology team in the UK on a fixed-term contract.

You’ll own projects from concept through deployment, mentoring engineers and potentially stepping into line management as the team evolves. You’ll work across React, TypeScript, Python and cloud-native stacks (Docker, Kubernetes, Helm, AWS), collaborating with ML engineers and product managers to deliver production-ready software and data-driven