6 of 6 Permanent Pulumi Jobs in Berkshire

and Grafana. Experience with Docker, ECS, Kubernetes, or similar containerisation technologies. Knowledge of scripting languages such as Bash, Python, NodeJS. Familiarity with Infrastructure as Code (IaC) tools like Terraform, Pulumi, etc. If you're a Site Reliability Engineer with the above, we want to hear from you More ❯

Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic More ❯

This position is based in our London office, with hybrid working available. Experience should include some or all of the following: Back-end web application development: Python: Flask PostgreSQL Pulumi/Terraform Infrastructure-as-Code Front-end web development: JavaScript, Vue.JS Cloud computing: VM deployment & image management Networking & security Auto-scaling Object storage Linux software development: Containers (Docker/Podman More ❯

latency, and trade-offs Comfortable building from zero — greenfield work doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems — you care about code quality and More ❯

code. Strong background in backend or infrastructure engineering (Python, TypeScript, Go, or Rust). Experience with APIs, distributed systems, databases (SQL/graph), containers, and cloud infra (AWS + Pulumi preferred). Proven ability to own and deliver projects with intensity and speed, bonus if you’ve been an early startup member or founder. Why Join Compensation: £100k+ base salary More ❯

AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps/LLMOps). Containerise workloads using Docker and manage deployments through Kubernetes … infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with Python-based IaC frameworks (Pulumi, Terraform, CDKs). Hands-on experience building CI/CD pipelines for AI deployments (Github Actions, MLFlow, ZenML, or similar). Deep understanding of containerisation and orchestration tools (Docker, Kubernetes More ❯