About the Company

Founded in 2018, Causaly’s AI platform for enterprise-scale scientific research redefines the limits of human productivity. We provide a powerful new way to find, visualize, and interpret biomedical knowledge, automating critical research workflows to accelerate solutions for some of the greatest health challenges we face.

We collaborate with some of the world's largest biopharma companies and institutions on use cases spanning:

• Drug Discovery
• Safety
• Competitive Intelligence

Causaly is backed by top VCs including ICONIQ, Index Ventures, Pentech, and Marathon.

About the Role

Job Title: Senior Infrastructure Engineer
Location: London
Employment Type: Full-time
Location Type: Hybrid
Department: Technology

Overview

We are hiring a Senior Infrastructure Engineer to join our DevOps team. You will play a key role in designing and scaling the infrastructure that powers our AI-driven applications, ensuring our systems are fast, secure, and reliable as we grow.

What You'll Do

• Build and scale cloud-native infrastructure, primarily on Amazon Web Services (AWS).
• Contribute to architectural decisions for platform services and system design.
• Automate infrastructure deployment using Terraform and infrastructure-as-code best practices.
• Manage and orchestrate containerized services with Kubernetes.
• Maintain and improve CI/CD pipelines to support fast, secure delivery.
• Implement and maintain observability tooling for monitoring, logging, and alerting.
• Collaborate with engineering teams—including AI/ML, backend, and data—to support development and production workflows.
• Help drive improvements in system performance, scalability, reliability, and cost efficiency.

What We’re Looking For

Required:

• Strong hands-on experience with AWS; additional exposure to GCP or Azure is a plus.
• Proficiency with Terraform and infrastructure-as-code principles.
• Experience managing Kubernetes clusters and containerized applications.
• Familiarity with CI/CD pipelines and modern DevOps tooling.
• Experience with observability tools (e.g., Datadog, Prometheus, Grafana).
• Strong scripting skills (e.g., Bash, Python).
• Ability to contribute to architectural planning and system design.
• Excellent problem-solving and analytical skills, especially in complex or ambiguous environments.

Nice to Have:

• Experience with Elasticsearch in production.
• Exposure to AI/ML infrastructure or data/compute-heavy environments.
• Working knowledge of cloud architecture and distributed systems.
• Experience with databases such as PostgreSQL, MySQL, MongoDB, and Redis.
• Experience working directly with internal or external customers to support and troubleshoot complex systems.
• Background in a startup or high-growth tech environment.

Why Join Causaly?

• Meaningful mission: Accelerate life-saving scientific discoveries.
• Modern tech stack: AWS, Kubernetes, Terraform, CI/CD, and more.
• Hybrid working: 3–5 days per week onsite at our central London office (Farringdon).
• Collaborative culture: Work with smart, kind people who care deeply about what they do.
• Great benefits: Private medical & dental insurance, pension scheme, wellness and learning budgets, and regular team events.