12 of 12 Remote Prometheus Jobs in Cambridge

Orchestrate and manage containerized applications using Docker, supporting streamlined deployment and environment consistency across development and production. Implement comprehensive monitoring and alerting solutions with Prometheus, Grafana, and AlertManager to proactively identify and resolve system performance issues. Champion DevOps best practices in automation, security, and agile delivery to drive continuous improvement More ❯

skills and a track record of cross-team collaboration. Nice to have: Kubernetes expertise (GKE/AKS/EKS) and container-native observability stacks (Prometheus/Grafana). NoSQL experience (Firestore, Cosmos DB, DynamoDB, MongoDB). Experience with game-backend scales, real-time services or hybrid cloud/bare-metal More ❯

and cloud environments. Experience with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, CircleCI). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Experience with version control systems (e.g., Git). Experience working More ❯

/CD pipelines with GitLab and GitHub Actions Containerising with Docker and applying best practices for security and performance Monitoring and alerting using Datadog, Prometheus, and Grafana Debugging complex systems using tools like strace, dtrace, and beyond Supporting a tech stack that includes Rust, Python, Go, C++, Java, and more More ❯

is a plus), infrastructure-as-code, and CI/CD tooling Strong scripting and automation experience in Python and Bash Familiarity with observability stacks (Prometheus, OpenTelemetry, eBPF) Cloud infrastructure experience (AWS/GCP/Azure), with attention to IAM and software supply chain security Curious, persistent, and comfortable experimenting at More ❯

data engineering tools such as Airflow, Pandas, or Spark Exposure to serverless architectures using AWS Lambda Familiarity with monitoring and logging tools (e.g. CloudWatch, Prometheus) Previous experience working in regulated or high-availability environments Location & Flexibility: This role can be fully remote, with optional visits to a UK-based office More ❯

GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores: MongoDB, Redis Monitoring/Tooling: Prometheus, Grafana, Sentry The role is remote with occasional travel Ready to lead and build with purpose? If you're excited by the idea of applying More ❯

HPC container runtimes (e.g., Singularity, Apptainer). Exposure to provisioning and automation tools (e.g., Ansible, PXE, Terraform). Experience with monitoring tools such as Prometheus, Grafana, and DCGM. Understanding of GPU/accelerator toolchains like CUDA or ROCm. A proactive, customer-first mindset with strong communication skills. Ability to work More ❯

and observability tools Bonus Points For Contributions to open-source projects Contributions to an AI product ⚙️ Tech Stack: Golang, GCP, microservices, Kubernetes, Kafka, MongoDB, Prometheus If scalability, security, databases and performance is your thing, looking for high ownership and impact - this role is for you! Please apply with an up More ❯

infrastructure. They’re looking to bring on a Site Reliability Engineer with deep experience in observability . If you’ve worked with tools like Prometheus in AWS , supported development teams with tracing and performance insights , and thrive in a high-scale, distributed environment - this could be a great next step. … What You’ll Be Doing: Managing and improving observability tools like Prometheus, Grafana, and CloudWatch Helping product teams with tracing and monitoring to improve performance and reliability Defining and improving SLIs/SLOs , automating tasks, and reducing operational noise Working with AWS (EKS, EC2, Lambda, RDS), Terraform, and CI/… CD tools What They’re Looking For: Experience in SRE or DevOps roles in a production environment Strong knowledge of observability tools , especially Prometheus in AWS Experience with tracing , metrics, and logs to support development teams Skills in Python or Go , and a good understanding of AWS and Kubernetes What More ❯

and Fargate). Driving SRE best practices: SLIs/SLOs, error budgets, reducing toil, and improving observability. Using (and hopefully enjoying!) tools like Datadog, Prometheus, Grafana, and Nix to support your work. What we’re looking for: Strong experience with AWS, Terraform, Docker, and container orchestration (ECS/Fargate). … Good understanding of CI/CD pipelines and DevOps workflows. Solid grasp of SRE principles – SLIs, SLOs, error budgets, observability, etc. Familiarity with Datadog, Prometheus, Grafana, or similar tools. Experience with Nix is a plus (or curiosity to learn it). Bonus if you’ve worked with Azure, GCP, or More ❯

and Service Level Objectives (SLOs), ensuring reliability and performance. An understanding of Microservices & container orchestration Strong Observability & Monitoring experience (preferably tools such as Dynatrace, Prometheus or OpenTelemetry) Experience delivering DevOps/SRE Best Practices and cost optimisation proposals Experience in Multi-Cloud, Security & Governance for Cloud Engineering and Operations would … be desired Key Responsibilities: Apply SRE principles effectively (experience with Dynatrace, Prometheus, and Open Telemetry is a bonus). Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) in collaboration with development teams. Develop dashboards and configure alerts to monitor system health in real time. Enhance Kubernetes More ❯