DevOps-Focused Fullstack Engineer

Maze Impact SA.; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

Mindstone, a leading company in AI-driven learning solutions, is seeking a DevOps-Focused Fullstack Engineer to enhance infrastructure and development workflows. You will collaborate closely with the CTO and be responsible for Kubernetes management and contributing to fullstack features, helping to shape the future of AI-driven software development.

Benefits

Competitive salary with share options

Monthly salary bonus tied to sales performance

25 days holiday + bank holidays + Christmas week

Quarterly in-person Swarm Weeks across Europe

Qualifications

• 7-10 years of engineering experience with a strong DevOps focus.
• Solid experience with Kubernetes managing production infrastructure.
• Proficient in Google Cloud Platform.

Responsibilities

• Own and evolve Kubernetes (GKE) setup.
• Build and maintain CI/CD pipelines.
• Support and extend backend services written in Go.

Skills

Kubernetes

DevOps

Google Cloud Platform

Go

ScyllaDB

Cassandra

CI/CD

Job description

DevOps-Focused Fullstack Engineer

Location: Hybrid, London based
Type: Full-time
Team Size: 4 engineers (reporting to the CTO)
Compensation: £80,000-£120,000 base + up to 30% bonus

About Mindstone

Mindstone is on a mission to up-skill the world in how to use AI - fast.
We run live learning programs, personalised learning experiences, and a vibrant community - all supported by AI under the hood for people eager to upskill quickly and at scale.

Our platform is used by individuals, teams, and large enterprises across the globe. Behind the scenes, we're a lean team building highly-performant, deeply integrated infrastructure, leveraging both open-source and internal tooling.

The Role

We're hiring a DevOps-Focused Fullstack Engineer to work alongside our CTO, PM, and core engineering team.

In the first 6 months, you'll focus heavily on:

• Infrastructure ownership
• Cloud cost reduction
• Developer productivity

Over time, your focus will gradually shift toward fullstack feature delivery and internal developer tooling.

You'll be instrumental in maintaining our reliability, observability, and deployment flow - while helping modernize the way we build software in the AI era.

Application Process

1. 1-hour interview and technical deep-dive with the CTO & PM
2. 2-hour sanity-check do-at-home coding exercise
3. 1-hour alignment call with the CTO & CEO

Requirements
What You'll Be Doing
Infrastructure & DevOps (70% at start)

• Own and evolve our Kubernetes (GKE) setup
• Reduce our GCP cloud bill through tuning and architectural improvements
• Build and maintain CI/CD pipelines, secrets handling, TLS/DNS configurations
• Improve and maintain observability using the Open Monitoring Stack
• Implement automated testing infrastructure across backend and frontend services
• Shape and support internal developer workflows (Docker, Codespaces, Replit, etc.)
• Be instrumental in shaping our on-call process and participate in the rotation

Fullstack Engineering (30% at start)

• Support and extend backend services written in Go
• Contribute to new features across the platform as needed
• Collaborate with engineers and our PM to debug, ship, and improve end-to-end systems
• Build internal tooling to assist other business functions

What You Bring
Must-Haves

• You actively use AI tools like Copilot, Cursor, or Devin in your daily work
• 7-10 years of engineering experience with a strong DevOps focus
• Solid experience with Kubernetes on GKE and managing production infrastructure
• Proficient in Google Cloud Platform
• Familiarity with Go and backend service architecture
• Strong experience with ScyllaDB or Cassandra
• Comfortable building and evolving internal DevOps tooling

Bonus

• Experience with GraphQL APIs
• Familiarity with vector databases and search systems
• Experience working with React (Remix) or similar frontend frameworks

Benefits
Why Join Us

• High-impact, ownership-driven role working directly with the CTO
• Autonomy to shape tooling, workflows, and future engineering hires
• Tight-knit team with a bias for action and deep trust in each other
• We're building with AI, not just for AI - you'll help define what that means in practice

Culture & Benefits

• Competitive salary with share options
• Monthly salary bonus (up to 30%) tied to sales performance and training satisfaction
• 25 days holiday + bank holidays + Christmas week
• Quarterly in-person Swarm Weeks across Europe