26 to 50 of 927 Datadog Jobs

maintain CI/CD pipelines, deployment automation, and infrastructure-as-code using Terraform, Terragrunt, and Chef.Monitor system health using enterprise observability tools (Prometheus, Grafana, DataDog), defining metrics and response playbooks that get ahead of incidents before they happen.Lead security-first practices across the infrastructure estate — proactively addressing vulnerabilities and driving ...

/CD pipelines, deployment automation, and infrastructure-as-code using Terraform, Terragrunt, and Chef. Monitor system health using enterprise observability tools (Prometheus, Grafana, DataDog), defining metrics and response playbooks that get ahead of incidents before they happen. Lead security-first practices across the infrastructure estate — proactively addressing vulnerabilities and driving ...

Azure DevOps for infrastructure pipelines Policy‐as‐code frameworks: OPA/Rego, HashiCorp Sentinel, Azure Policy, AWS Config Rules Monitoring and observability: Prometheus, Grafana, Datadog, CloudWatch, or Dynatrace Networking fundamentals: VPC/VNet design, load balancers, DNS, CDN, and hybrid connectivity SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability – coaches ...

Route 53, Direct Connect, Load Balancers, API Gateway Practical experience with Kubernetes (EKS) and container orchestration in AWS Familiarity with monitoring tools (CloudWatch, DataDog, Prometheus) and alerting systems Hands-on experience with Terraform and/or AWS CloudFormation for IaC Proficiency in implementing CI/CD pipelines using GitHub Actions ...

years of experience in SRE, Observability, or DevOps roles, with leadership responsibilities. Proven expertise with Application Performance Monitoring (APM) tools such as New Relic, Datadog, AppDynamics, or Dynatrace. Hands-on experience with OpenTelemetry (OTel) for distributed tracing and observability instrumentation. Strong proficiency in Infrastructure as Code (IaC) using Terraform. Solid ...

with infrastructure as code tools (Terraform, CloudFormation, etc.).Strong knowledge of Linux/Unix systems.Experience with observability and monitoring tools (e.g., Grafana, Dynatrace, Prometheus, Datadog, Splunk).Familiarity with CI/CD tools (e.g., Jenkins, GitLab) and container orchestration (e.g., Docker, Kubernetes, ECS).Understanding of networking fundamentals and troubleshooting.Strong communication skills ...

5+ years of experience in SRE, Observability, or DevOps roles, with leadership responsibilities.Proven expertise with Application Performance Monitoring (APM) tools such as New Relic, Datadog, AppDynamics, or Dynatrace.Hands-on experience with OpenTelemetry (OTel) for distributed tracing and observability instrumentation.Strong proficiency in Infrastructure as Code (IaC) using Terraform.Solid understanding of cloud ...

tooling such as Jenkins, Github, Bitbucket, ArgoCD, Artifactory, Azure DevOps in a large-scale environmentExperience with observability tooling such as Grafana, Prometheus, Splunk, Datadog, New Relic, DynaTrace, Sentry, etc. in a large-scale environmentExperience supporting relational and non-relational databases (MySQL, MongoDB, PostgreSQL, etc.), including creating and running queries, managing ...

with container orchestration (Kubernetes, Docker).Proficiency in CI/CD pipelines and infrastructure-as-code tools (Terraform, GitHub Actions, Jenkins).Familiarity with observability platforms (Datadog, BigPanda, OpenTelemetry).Experience working with identity platforms and/or fraud detection systems.Excellent communication and stakeholder management skills; ability to influence across technical and business ...

with container orchestration (Kubernetes, Docker).Proficiency in CI/CD pipelines and infrastructure-as-code tools (Terraform, GitHub Actions, Jenkins).Familiarity with observability platforms (Datadog, BigPanda, OpenTelemetry).Experience working with identity platforms and/or fraud detection systems. Excellent communication and stakeholder management skills; ability to influence across technical ...

/or Azure, Kubernetes, and Docker . Experience with GitOps, ideally Argo CD or Flux. Familiarity with observability tooling such as Prometheus, Grafana, Datadog, Splunk, ELK, or OpenTelemetry. Understanding of platform security, secrets management, policy-as-code, and SRE practices. Experience working in Legal, professional services, or finance with complex ...

related tooling. Manage and improve Kubernetes platforms, GitOps workflows, Helm charts, and application onboarding. Develop monitoring, logging, alerting, and observability capabilities using Grafana, Prometheus, DataDog, Loki, and CloudWatch. Support cloud networking and connectivity across AWS accounts, regions, on-prem environments, and other cloud platforms we use. Implement and maintain secure ...

Azure), specifically building and operating highly resilient cloud-native architectures.Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog, OpenTelemetry, ELK, or CloudWatch)Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software ...

Azure), specifically building and operating highly resilient cloud-native architectures. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog, OpenTelemetry, ELK, or CloudWatch) Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...

monitoring, model drift, and agent execution traces. Use tools such as LangSmith, Arize Phoenix, W&B Weave, MLflow, Evidently AI, Prometheus, Grafana, OpenTelemetry, Splunk, Datadog, ELK , and cloud-native logging platforms. Implement LLMOps/MLOps practices including model registry, prompt versioning, evaluation pipelines, A/B testing, guardrails, feedback capture ...