9 of 9 Datadog Jobs in Southampton

Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using configuration management platforms like Ansible, Puppet, or Chef Professional certifications in cloud DevOps, such as AWS Certified DevOps Engineer or More ❯

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 ❯

scalable systems with an object-oriented programming language. Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), infrastructure-as-code (Terraform), and observability tools (Datadog, Grafana). Curiosity and eagerness to learn. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills for technical and non-technical 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) Scripting (Ansible, Bash, Python, GO) CI/CD Primary Job Responsibilities: Design and support EC2/ECS/EKS/Fargate environments for high More ❯

people to enjoy them). Perform penetration testing services and infrastructure testing ethically. 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 ❯

similar Must have experience with Kubernetes, CI/CD, and Terraform Database experience with MySQL and NoSQL Monitoring tools like Prometheus, 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 ❯

focusing on aspects like optimisation, scalability, and efficiency. You’ll work alongside teams that have joined from world-class tech companies 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 ❯

usage analysis Experience with database security, access control, compliance requirements, and disaster recovery. Experience with cloud database services and monitoring tools including Grafana and Datadog Proficiency in Python for database automation and tooling development Knowledge of CI/CD pipelines, infrastructure-as-code, and modern development practices Experience with unit More ❯

frameworks Experience implementing robust backup and recovery strategies. 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 ❯