Infrastructure Engineer

Luminance; Cambridge; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading AI technology company in Cambridge is seeking a skilled engineer to join their Infrastructure Team. The role involves designing, building, and maintaining scalable AWS cloud infrastructure, with an emphasis on automation and Infrastructure-as-Code practices. The ideal candidate will have significant experience with AWS services and Kubernetes operations, as well as strong scripting abilities. This position offers the opportunity to drive improvements in engineering efficiency and operational reliability.

Qualifications

• Proven experience with AWS infrastructure including EKS, RDS, and EC2.
• Hands-on experience building IaC pipelines using Terraform.
• Strong knowledge of Kubernetes operations on AWS.

Responsibilities

• Design, build and maintain scalable cloud infrastructure using AWS.
• Drive and support Kubernetes adoption on EKS.
• Implement Infrastructure-as-Code pipelines integrating Terraform.

Skills

AWS infrastructure design

Infrastructure as Code (IaC)

Kubernetes operations

Linux administration

Scripting and automation

Cloud security principles

Tools

Terraform

Prometheus

Grafana

GitHub Actions

Jenkins

Job description

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World' and Inc. 5000's ‘Fastest Growing Companies in America', Luminance is disrupting the legal profession around the globe.

We are seeking a skilled and forward-thinking engineer to join our Infrastructure Team in a devops and platform engineering role. The ideal candidate will have a strong background in building cloud-native infrastructure with a focus on automation, scalability, and security, and a deep understanding of Infrastructure-as-Code (IaC). You will help design and evolve Luminance's AWS platform—modernising our deployment patterns, automating environment creation, and ensuring our systems are reliable, repeatable, and resilient.

Responsibilities

• Design, build and maintain scalable cloud infrastructure using AWS services such as EC2, EKS, RDS/Aurora, ElastiCache, OpenSearch, and CloudFront
• Drive and support the development and adoption of Kubernetes on EKS for management of both production and internal workloads
• Architect and implement Infrastructure-as-Code (IaC) pipelines - integrating Terraform (or similar) into CI/CD workflows for environment provisioning, validation, and automated testing
• Drive zero-downtime deployment patterns (blue/green, rolling, canary) and implement automated rollback and recovery
• Drive continuous improvement in the infrastructure space, through initiatives to remove single points of failure and improve autoscaling, high availability and managed service adoption across the platform
• Collaborate with SRE, Security and Engineering teams to enhance observability, monitoring and alerting through tools like Prometheus, Grafana and CloudWatch
• Partner with Security to embed best practices for IAM, secrets management, WAF, and posture management
• Optimise performance and cloud spend through automation tools and cost visibility dashboards
• Participate in on-call rotations, post-incident reviews, and ongoing improvements to operational reliability

Requirements

• Proven experience designing, automating and maintaining AWS infrastructure (EKS, RDS, EC2, CloudFront, VPC, IAM, Security Hub)
• Hands‑on experience building IaC pipelines using Terraform, with CI/CD integration (e.g., GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline)
• Strong knowledge of Kubernetes operations on AWS (EKS), including cluster scaling, deployment automation, and monitoring
• Solid background in Linux administration, networking, and cloud security principles
• Familiarity with observability tools (Prometheus, Grafana, Loki) and structured alerting practices
• Experience with database migrations, HA configurations, backups, and DR strategies
• Strong scripting and automation skills (Terraform, Python, Bash, or similar)
• Excellent communication and collaboration skills, with a passion for improving engineering efficiency through automation and consistency