12 of 12 Permanent Datadog Jobs in Bristol

CI/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 ❯

to cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Curiosity : A hunger to learn and grow your skills. Problem solving: Strong analytical problem-solving skills and attention to detail. You have More ❯

monitoring and observability tools to proactively manage system health. Skills and Strengths: AWS (Amazon Web Services) Auto Scaling Fargate Route53 Observability tools (New Relic, DataDog, Splunk) Containerization (Docker, Kubernetes, Fargate) Incident Response IaC (Terraform, CloudFormation, Helm, CDK) Scripting (Ansible, Bash, Python, GO) CI/CD Primary Job Responsibilities: Design and More ❯

Pipelines and AWS including EKS Lambda and CloudFormation Infrastructure as Code and GitOps : Terraform Bicep Pulumi ArgoCD and FluxCD Observability : Prometheus Grafana OpenTelemetry and Datadog Security and Compliance : HashiCorp Vault Azure Key Vault AWS KMS OPA Gatekeeper and Drata or similar AI Coding Tools : GitHub Copilot Cursor Claude Code 📩 Interested More ❯

SOPs. Develop scripts and tools to automate infrastructure provisioning and application deployment. Implement best practices for observability and monitoring using tools like New Relic, DataDog, or Splunk. Influence design decisions to ensure scalable, secure architecture and high availability. Key Requirements: 5+ years in Site Reliability Engineering and/or DevOps More ❯

with: MongoDB , PostgreSQL , or hybrid DB architectures DevOps practices : Docker, Kubernetes, Infrastructure as Code Jest or other unit testing frameworks Monitoring and logging tools: Datadog, AWS CloudWatch Google Cloud Platform (GCP) or cloud migration experience Background in real-time media or image/video processing pipelines 🚀 Why Join PomVom? Build More ❯

cloud experience (AWS/Azure/GCP) IaC (preferably Terraform or Ansible) Python experience Linux background Interest/knowledge in cloud security Monitoring tools (DataDog, NewRelic) Operating as a remote-first company across three continents, they embrace diversity and value individual contributions. Benefits: Competitive market rate - Up to £150K Stock More ❯

get people to enjoy them) Pen-test services and infra (ethically, please). Extend security automation and monitoring with tools like CircleCI, GitHub Actions, DataDog, AWS Security Hub, etc. Harden everything from container runtimes to APIs to artifact pipelines. Write secure code, review other people’s code, and help everyone More ❯

models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python More ❯

similar Must have experience with Kubernetes, CI/CD, and Terraform Database experience with MySQL and NoSQL Monitoring tools like Prometheous, Grafana, NewRelic, Zabbix, DataDog, or Similar Relevant Certifications like GCP Cloud Architect or similar Beneficial, but not essential: Cassandra, and Google Workspace What's in it for you More ❯

Experience implementing robust backup and recovery strategies. Desirable Proficiency with infrastructure automation tools like Terraform or CloudFormation. Familiarity with monitoring tools such as CloudWatch, Datadog, or similar. Experience of database replication tooling such as AWS DMS and Goldengate. Experience of collaborating with DevOps teams to integrate databases into CI/ More ❯

ECS 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 More ❯