Senior DevOps Engineer

Chemify Ltd; Glasgow; On-site; GBP 55,000 - 75,000; Full time

Job summary

A pioneering chemistry technology company in Glasgow is seeking a Senior DevOps Engineer to build infrastructure that accelerates scientific discovery. The role involves engineering cloud-native microservices and improving developer productivity using CI/CD best practices. Ideal candidates will have a BSc in Computer Science and 5+ years of DevOps experience, with proficiency in Python and container technologies like Docker. A collaborative spirit and strong communication skills are essential. This position contributes to groundbreaking innovations in chemistry.

Qualifications

• 5+ years commercial DevOps engineering experience.
• Proficiency with Python and extensive experience with IaC frameworks.
• Clear communicator who enjoys collaborating with engineers and domain experts.

Responsibilities

• Engineer infrastructure for AI-driven synthesis.
• Drive improvements to developer productivity.
• Automate deployment across cloud and on-prem environments.
• Maintain and evolve Kubernetes infrastructure.

Skills

Python

Terraform

AWS CDK

Postgres

Docker

Gitlab

ArgoCD

Networking fundamentals

CI/CD best practices

Education

BSc in Computer Science or equivalent

Tools

AWS

GCP

Kubernetes

Job description

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About Chemify

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity.

Job Description

We are seeking a Senior DevOps Engineer to help build infrastructure that accelerates scientific discovery.

You’ll join a growing cross-functional team spanning software, hardware, data, AI research, and infrastructure. Chemify operates with a fast-paced, iterative product mindset, we're looking for engineers who are hands‑on, curious, and hungry to build. You'll have influence to introduce new tooling, evolve our platform, and directly support robotic chemistry that leads to real-world breakthroughs.

Our API‑first platform supports end‑to‑end design, execution, monitoring, and learning from chemical synthesis campaigns. You will play a key role in evolving our developer experience, deployment pipelines, and high‑performance compute environments to support cutting‑edge scientific innovation.

If you thrive solving complex problems that have real‑world impact, communicate clearly, and enjoy working closely with scientists and engineers on breakthrough technology - we'd love to hear from you.

Key Responsibilities

• Engineer infrastructure that spans cloud-native microservices, secure lab environments, and high-performance compute for AI-driven synthesis.
• Drive improvements to developer productivity using modern CI/CD best practices (ArgoCD).
• Automate deployment of in-house and third‑party systems across cloud and on‑prem environments (AWS & GCP).
• Maintain and evolve our Kubernetes infrastructure (EKS).
• Support the rollout and operationalisation of new Chemify sites.
• Enable high-performance compute for AI-driven synthesis R&D workloads.
• Evaluate emerging technologies and influence architecture decisions.
• Mentor teammates and contribute to collaborative engineering culture through reviews, planning, and design.
• Contribute to team-wide initiatives, including code reviews, design discussions, process improvements and workstream planning.

What you'll bring

• BSc or equivalent experience, preferably in a Computer Science related field.
• 5+ years commercial DevOps engineering experience.
• High EQ: clear communicator who enjoys pairing with engineers and domain experts.
• Proficiency with Python and extensive experience with IaC frameworks such as Terraform and AWS CDK.
• Knowledge of relational databases such as Postgres.
• Expertise with cloud-based data services (AWS/GCP/Azure).
• Proven ability working with containerised technologies (Docker).
• Hands‑on experience managing DNS infrastructure and networking fundamentals within cloud and on‑prem environments.
• Experience using AI-assisted coding and development tools (e.g. Claude Code, Cursor) as part of modern best practices.
• Expert in continuous integration/continuous deployment and tools such as Gitlab and ArgoCD.

Beneficial Skills

• Interest in chemistry, manufacturing, or robotics.
• Previous experience in Life Sciences, AI Drug Discovery or Manufacturing.
• Multi-Cloud experience (AWS / GCP).
• Experience managing on prem infrastructure.
• Interest in networking platforms (Cisco Meraki).