1 to 25 of 167 Permanent Datadog Jobs

Kubernetes; experienced in scalable, portable BI and data environments. Environment Management: Managed Dev/QA/UAT freshness, data synchronisation, and Jira-integrated release workflows. Observability & Monitoring: Implemented CloudWatch, Datadog, Prometheus, and Grafana for logging, metrics, and alerting. Troubleshooting & Problem Solving: Strong analytical and cross-functional collaboration skills; effective under pressure. Project Delivery: Managed multiple concurrent BI and data releases 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 ❯

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 ❯

testing, and incident management. Hands on experience with Databricks , MLflow , or similar ML/ETL platforms is a plus. Bonus: Experience with container orchestration (Kubernetes) and observability tools like Datadog, Prometheus, or Grafana. Passion for building tools and platforms that empower teams and improve developer velocity. Excitement, passion and curiosity about our mission of connecting the world's health data 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 ❯

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 ❯

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 ❯

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 ❯

scripting for automation Git version control Desirable (Future-Facing Skills): Infrastructure as Code (Terraform, Pulumi, Ansible) Container orchestration (Kubernetes) Go development for microservice utilities Modern observability tools (Prometheus, Grafana, Datadog) CI/CD pipeline management (GitHub Actions, GitLab CI, Jenkins) Firewall-as-a-Service solutions (e.g., Cloudflare) Endpoint/device management (e.g., Intune, NinjaOne) Exposure to ML Ops (deployment, scaling More ❯

platforms (GCP, AWS, or Azure), containerization, CI/CD, and infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic; Slurm, Torque, LSF; MPI; Hadoop or Spark;Director of In Experience with high-performance computing, distributed systems, and observability tools Strong communication and executive presence, with the More ❯

platforms (GCP, AWS, or Azure), containerization, CI/CD, and infrastructure-as-code Docker; Kubernetes (EKS, GKE, AKS); Jenkins, GitLab CI, or GitHub Actions; Terraform or CloudFormation; Prometheus, Grafana, Datadog, or New Relic; Slurm, Torque, LSF; MPI; Hadoop or Spark;Director of In Experience with high-performance computing, distributed systems, and observability tools Strong communication and executive presence, with the More ❯

cloud labs (e.g., AWS Academy, Azure Learn, Qwiklabs). Familiarity with CI/CD tools (GitHub Actions, Jenkins, GitLab CI). Exposure to monitoring, logging, and alerting tools (CloudWatch, Datadog, Splunk). Understanding of Infrastructure as Code (Terraform, CloudFormation). Awareness of cloud cost optimization strategies. Basic security knowledge (IAM, role-based access, key management). Success Attributes Curious and More ❯

/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging tools (ELK, Nagios, Splunk, DataDog, New Relic, etc.). Understanding of security and identity management (OAuth2, SSO, ADFS, Keycloak, etc.). Experience with version control systems (Git, Bitbucket, Subversion). Working knowledge of database technologies More ❯

/CD pipelines (e.g., Jenkins, TeamCity, Concourse). Familiarity with web/application servers such as NGINX, Apache, or JBoss. Exposure to monitoring and logging tools (ELK, Nagios, Splunk, DataDog, New Relic, etc.). Understanding of security and identity management (OAuth2, SSO, ADFS, Keycloak, etc.). Experience with version control systems (Git, Bitbucket, Subversion). Working knowledge of database technologies More ❯

design (REST, GraphQL) Experience with containerization (Docker, Kubernetes) and cloud-native development patterns DevOps & SRE Practices Experience implementing CI/CD pipelines and DevOps methodologies Knowledge of infrastructure monitoring (Datadog), log aggregation, and incident management Understanding of SLO/SLA definition and observability best practices Strategic & Business Acumen Ability to align technical initiatives with business objectives and articulate ROI Experience More ❯

design (REST, GraphQL) Experience with containerization (Docker, Kubernetes) and cloud-native development patterns DevOps & SRE Practices Experience implementing CI/CD pipelines and DevOps methodologies Knowledge of infrastructure monitoring (Datadog), log aggregation, and incident management Understanding of SLO/SLA definition and observability best practices Strategic & Business Acumen Ability to align technical initiatives with business objectives and articulate ROI Experience More ❯

KPIs (observability, alerting, SLAs) Hands on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes ) Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog ) Familiarity with infrastructure as code tools like Terraform or CloudFormation Proficiency in scripting languages (Python, Go, Bash ) and knowledge of software development best practices Strong understanding of networking, security, 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 ❯

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 ❯

Experience in a Site Reliability, DevOps, or Platform Engineering role. Solid scripting or programming ability (PowerShell, Bash, Python, or similar). Familiarity with monitoring and observability tools such as Datadog, Azure Application Insights, or Log Analytics. Excellent collaboration and communication skills with the ability to work cross-functionally. A proactive mindset with a genuine passion for automation and operational excellence. More ❯

platforms) that supports the different platform services. Develop comprehensive monitoring solutions to provide full visibility into different platform components using tools and services such as Kubernetes, Prometheus, Grafana, ELK, Datadog, New Relic and other similar tools. Identify and troubleshoot any bottlenecks, availability and performance issues at multiple layers of deployment, from hardware, operating environment, software, network, and application. Evaluate performance More ❯

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 ❯