1 to 25 of 66 Remote Datadog Jobs

The role of a Platform Support Engineer involves providing excellent technical support and maintenance for platform solutions within the technology and telecoms industry. You will ensure the smooth operation of systems, troubleshoot issues, and deliver high-quality service to internal More ❯

. Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Desirable Skills Exposure to infrastructure security best practices (e.g., CIS Benchmarks, AWS Well-Architected Framework). Knowledge of configuration management (Ansible, Chef, or Puppet). Experience with serverless architectures More ❯

. Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Desirable Skills Exposure to infrastructure security best practices (e.g., CIS Benchmarks, AWS Well-Architected Framework). Knowledge of configuration management (Ansible, Chef, or Puppet). Experience with serverless architectures More ❯

Lambda, DynamoDB). Drive automation across CI/CD pipelines using tools like GitHub Actions , Terraform , and Argo CD for seamless and secure deployments. Enhance observability using Prometheus , Grafana , Datadog , and CloudWatch , enabling proactive incident prevention. Own incident management and post-mortem practices — guiding the team through challenges calmly and driving meaningful improvement. Collaborate with global engineering and product teams More ❯

or Windows administration, with the ability to architect secure, performant, and highly available cloud solutions. Proficiency with monitoring and log analytics tools such as AWS CloudWatch, ELK Stack, Prometheus, Datadog, or New Relic, to maintain observability and ensure operational excellence. Demonstrated leadership skills in managing complex, high-pressure situations and guiding teams through incident resolution. Exceptional communication and presentation skills More ❯

tech talks to share knowledge and promote adoption of tools and practices. About the Candidate The ideal candidate will possess the following: Experience with observability tools (eg, Grafana, Prometheus, Datadog). Background in DevOps, SRE, or platform engineering with a security first mindset. Strong programming skills in languages such as .Net, JavaScript, Python or similar. Experience with CI/CD More ❯

Liquibase) and Git for version control. Scripting & Troubleshooting: Strong scripting skills (Python/Bash) for automation and ability to analyze logs and monitor performance using tools like AWS Cloudwatch, Datadog, Prometheus, Grafana, or pgBadger. Solid understanding of DevOps practices, including CI/CD pipelines (e.g., GitLab CI, Cloudbees, Jenkins, GitHub Actions), containerization with Docker, and monitoring/logging tools. Demonstrated More ❯

Route53, S3, EC2, ECS, VPC, IAM, DynamoDB, CloudFront . Infrastructure as Code (IaC) using Terraform or CloudFormation. Experience with Jenkins, Git (Gitflow), Docker, and monitoring tools like CloudWatch or DataDog . The Offer: Initial 6-month contract with a high likelihood of extension. A key role in a high-profile, innovative project at the forefront of cloud and AI technology. More ❯

based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services: i.e. EC2/ECS, RDS, S3 Experience using DataDog or similar observability tools Knowledge of containerisation: Docker, Kubernetes, AWS Fargate etc Any experience of front-end or fullstack development using TypeScript & React Experience building software for financial services and More ❯

based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core AWS services: i.e. EC2/ECS, RDS, S3 Experience using DataDog or similar observability tools Knowledge of containerisation: Docker, Kubernetes, AWS Fargate etc Any experience of front-end or fullstack development using TypeScript & React Experience building software for financial services and More ❯

years in SRE, Observability, or DevOps functions.Proven track record implementing observability solutions in cloud-native environments (AWS, Azure, or GCP). Hands-on proficiency with observability tools such as Datadog, Grafana, Prometheus, OpenTelemetry. Strong knowledge of distributed systems, microservices, and container orchestration (Kubernetes, Docker). Experience with automation and Infrastructure as Code (Terraform, Ansible) and CI/CD pipelines. Familiarity More ❯

Your expertise will ensure seamless, reliable, and secure experiences for customers. Hands-on experience with AWS services (ECS, S3, RDS, Lambda, CloudFront, etc.). Proficiency with monitoring tools like DataDog, CloudWatch, 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 More ❯

Your expertise will ensure seamless, reliable, and secure experiences for customers. Hands-on experience with AWS services (ECS, S3, RDS, Lambda, CloudFront, etc.). Proficiency with monitoring tools like DataDog, CloudWatch, 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 More ❯

such as AWS, Azure, and GCP. Skilled in managing containerised applications using tools like Docker, Kubernetes, and Helm. Proficient in Infrastructure-as-Code practices — our production stack includes Terraform, Datadog, ArgoCD, and GitLab. Strong focus on automation; you streamline workflows with Bash scripts and turn to Python when things get more complex. Curious about the entire technology landscape — from bare More ❯

and operations teams to enhance system reliability. What You Will Ideally Bring: Proven DevOps or Site Reliability Engineering (SRE) experience. Strong hands-on expertise with observability platforms such as Datadog and Splunk. Proficiency with CI/CD, Infrastructure as Code (Terraform, CloudFormation), and automation tooling. Strong understanding of SLIs, SLOs, incident response, and performance engineering. Ability to translate complex technical More ❯

an SRE, DevOps, or Software Engineering (with an operations focus) role. Solid scripting/programming skills for automation (e.g., PowerShell, Python, Bash). Expertise with modern observability tools (e.g., Datadog, Application Insights, Log Analytics, Grafana). A collaborative mindset with a strong sense of ownership and a passion for engineering reliability. What's In It For You? This company truly More ❯

Environment Cloud: AWS (high-throughput systems: 1,000–6,000+ req/sec) IaC: Terraform, configuration management Containers: Kubernetes, Docker (ECS beneficial) Languages: Python, Go or similar Observability: Prometheus, DataDog or equivalents CI/CD: Modern automated pipelines Systems: Distributed systems, microservices, resilience engineering Lead Site Reliability Engineer | Fully Remote | AWS, Kubernetes, Terraform | High-Scale SaaS | £90K More ❯

with Docker and Kubernetes Strong Infrastructure as Code experience with Terraform History of working across CI/CD pipelines Monitoring and Observability experience with Prometheus, Grafana, and/or DataDog Prior experience overseeing Change and Incident Management processes Previous work in an Architectural capacity is also a massive bonus This position is open to Lead level Engineers, able to offer More ❯

with Docker and Kubernetes Strong Infrastructure as Code experience with Terraform History of working across CI/CD pipelines Monitoring and Observability experience with Prometheus, Grafana, and/or DataDog Prior experience overseeing Change and Incident Management processes Previous work in an Architectural capacity is also a massive bonus This position is open to Lead level Engineers, able to offer More ❯

the delivery of a new Cloud Platform built on AWS, powered by microservices developed in C#. Alongside this, they are nvesting in key initiatives such as platform monitoring with Datadog, automation testing with Playwright, and strengthening security through GitHub Actions. About you Experienced software engineer with strong skills in C#/.NET. Hands-on experience with AWS, microservices, and API More ❯

the delivery of a new Cloud Platform built on AWS, powered by microservices developed in C#. Alongside this, they are nvesting in key initiatives such as platform monitoring with Datadog, automation testing with Playwright, and strengthening security through GitHub Actions. About you Experienced software engineer with strong skills in C#/.NET. Hands-on experience with AWS, microservices, and API More ❯

Familiarity with testing frameworks (Vitest, Playwright) for both API and end-to-end testing. Experience with Docker, Helm, YAML, Kubernetes, and cloud-native deployments. Telemetry tools; Prometheus, Grafana, OpenTelemetry, DataDog, APM tools Understanding of infrastructure-as-code and CI/CD pipelines. Ability to improve codebases and influence architectural direction. Experience mentoring or coaching engineers. Please send updated CV quoting More ❯

Familiarity with testing frameworks (Vitest, Playwright) for both API and end-to-end testing. Experience with Docker, Helm, YAML, Kubernetes, and cloud-native deployments. Telemetry tools; Prometheus, Grafana, OpenTelemetry, DataDog, APM tools Understanding of infrastructure-as-code and CI/CD pipelines. Ability to improve codebases and influence architectural direction. Experience mentoring or coaching engineers. Please send updated CV quoting More ❯

Familiarity with testing frameworks (Vitest, Playwright) for both API and end-to-end testing. Experience with Docker, Helm, YAML, Kubernetes, and cloud-native deployments. Telemetry tools; Prometheus, Grafana, OpenTelemetry, DataDog, APM tools Understanding of infrastructure-as-code and CI/CD pipelines. Ability to improve codebases and influence architectural direction. Experience mentoring or coaching engineers. Please send updated CV quoting More ❯

SLI frameworks to ensure service reliability. Your Profile Essential skills/knowledge/experience: DevOps engineering experience with strong cross-functional collaboration skills. Hands-on expertise with observability platforms (Datadog, Splunk) and alerting best practices. Proficiency with CI/CD, release orchestration, and automation/IaC tools (Terraform, CloudFormation). Strong understanding of SLIs, SLOs, error budgets, incident response, and More ❯