Senior Full Stack Engineer in England

Senior Full Stack Engineer in England

England Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Firemind

At a Glance

  • Tasks: Design and build innovative AI/ML features using TypeScript, Python, and Terraform.
  • Company: Join Firemind, a leader in AI-driven enterprise IT solutions.
  • Benefits: Competitive salary, flexible working, and continuous professional development.
  • Other info: Collaborative environment with opportunities to mentor and grow.
  • Why this job: Shape the future of AI technology while making a real impact.
  • Qualifications: Senior full stack experience with strong skills in TypeScript and Python.

The predicted salary is between 70000 - 90000 Β£ per year.

Firemind has built an AI operating engine that runs enterprise IT estates autonomously, resolving around 90% of incidents without human touch. We are an AWS Premier Tier partner, an Anthropic Authorised Reseller, and an NVIDIA embedded partner. Our AI Transformation portfolio helps enterprises adopt AI safely within their own technology estate. Our work is trusted by organisations including Vodafone, KONE, Center Parcs, and Premier League.

We are building our AI/ML platform and looking for a senior full stack engineer who wants to own product outcomes. You will work on the product, shaping how features are built, making pragmatic technical calls, and turning ambiguous problems into usable solutions. This is a hands-on senior role: you will write production code across the stack and help shape what we build and why. This role is offered in the UK or Finland, with flexible hybrid and remote working. We are also open to engaging candidates in Poland on a B2B contract basis.

Your responsibilities include but are not limited to:

  • Design, build, and ship full stack features end to end, in TypeScript, Python, Terraform, and bash.
  • Take ambiguous requirements and turn them into reliable, well-tested software at speed.

Essential Skills & Experience

  • Several years building and shipping production software as a full stack engineer, at a senior level.
  • Strong commercial experience with TypeScript and Python.
  • Strong experience with IaC via Terraform.
  • Solid SQL skills, with a real understanding of data modelling and query performance.
  • A product mindset.
  • Comfort with ownership and ambiguity.

Desirable Qualifications

  • Experience working on or adjacent to AI/ML platforms or data-heavy products.
  • A track record of moving fast in a product or platform company, rather than purely project or consulting delivery.
  • Experience mentoring engineers or setting team-wide engineering standards.

What we offer

  • Competitive salary and benefits package.
  • The opportunity to work on cutting-edge technology projects with major clients.
  • A supportive, collaborative, and innovative work environment.
  • Continuous professional development opportunities.

To apply, please submit your CV, cover letter, and any supporting documents. Applications will be considered on a rolling basis until the position is filled. We are an equal opportunity employer and value diversity at our company.

Please note: Applicants must have the right to work in the UK or Finland, depending on their location, or be able to engage via a B2B contract in Poland. No sponsorship is available for this position.

Senior Full Stack Engineer in England employer: Firemind

Firemind is an exceptional employer, offering a dynamic and innovative work environment where senior full stack engineers can thrive. With a focus on cutting-edge AI technology and a commitment to employee growth, we provide competitive salaries, flexible working arrangements, and continuous professional development opportunities. Join us in shaping the future of enterprise IT while collaborating with major clients like Vodafone and the Premier League.

Firemind

Contact Details:

Firemind Recruitment Team

We think you need these skills to ace Senior Full Stack Engineer in England

TypeScript
Python
Terraform
Bash
SQL
Data Modelling
Query Performance