12 of 12 Part-Time Datadog Jobs

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

Jenkins or GitHub Actions (Jenkins preferred)\n \n\n Preferred Qualifications, Capabilities, and Skills: \n \n Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog, Splunk, etc.) \n Familiarity with backend frameworks like Spring, Micronaut, or Dropwizard (Spring is a big plus) \n Experience with Kubernetes \n Experience with non-functional ...

proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, Elasticsearch, etc. \n Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) \n Experience with container and container orchestration (e.g. ...

Operator, Vault, or similar secret‐sync patterns is beneficial \n Familiarity with Terraform, multi‐cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable ...

Apache, JBoss. \n Knowledge of OpenShift Containerisation, RHEL 6,7,8, Docker and Kubernetes. \n Experience with monitoring systems e.g., ELK, Nagios, New Relic, DataDog, Splunk etc. \n Working knowledge of digital delivery processes and methodologies. \n Working knowledge of Atlassian Toolset. \n\n \n Understanding of database schemas ...

Solid understanding of system architecture, with the ability to review and challenge architectural decisions. Experience with observability, monitoring, and alerting at scale (e.g. Grafana, Datadog, Prometheus). Experience with robotics, IoT, or hardware-adjacent software is highly desirable. \n Demonstrated ability to coach and develop engineers at various career stages ...

Vault, AKS (Kubernetes), Networking, Managed Identity \n Infrastructure-as-Code (Terraform/Terraform Cloud) \n CloudFlare \n GitHub, GitHub Actions, Azure DevOps Pipelines \n Datadog \n C#, .NET Core/.NET Framework (being phased out) \n REST APIs, Hangfire, MediatR, Entity Framework, Mass Transit, xUnit/NUnit \n Node, Next.js ...

Performance tuning experience, including indexing strategies, query profiling, and execution plan interpretation. \n Experience with monitoring and observability tooling such as Prometheus, Grafana, Datadog, Dynatrace or New Relic. \n Familiarity with versioned schema migrations using tools such as Flyway, Liquibase, Alembic, or sqitch. \n Good understanding of storage, IOPS ...

Data vendors and their key products (e.g. Bloomberg, LSEG, Factset, S&P) \n Database technologies and SQL scripting \n Monitoring tools (ITRS Geneos, Dynatrace, Datadog) \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent ...

consultative selling within enterprise software, preferably in observability, APM, cloud, or DevOps domains.\n \n \nStrong understanding of Dynatrace and similar platforms (e.g., Datadog, New Relic, AppDynamics).\n \n \nExcellent communication, presentation, and negotiation skills.\n \n \nAbility to build rapport with both technical and business stakeholders. ...

Driven development. \n API development and integration (preferably using Go but not essential). \n Experience with monitoring systems e.g., ELK, Nagios, New Relic, DataDog, Splunk etc. \n Working knowledge of digital delivery processes and methodologies. \n Working knowledge of Atlassian Toolset. \n\n \n Knowledge of Javascript frontend frameworks. ...

apply appropriate measurements for that phase of work. \n \nEssential experience \n \n \n worked with data platforms such as Google Analytics, Splunk, Datadog, or similar \n working within a GDS delivery environment within a government department \n used data visualisation tools such as Data Studio to create service performance ...