Senior Sre: Azure Observability & Power Bi Readiness
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Descripción de la vacante
AgileEngine is seeking a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private clouds, focusing on automation, tooling, and incident management. You will work with observability tooling and support onboarding of new clients.
You will maintain the platform, build diagnostic tooling, deliver process improvements, and help upgrades while ensuring capacity scales with demand. This role offers remote and office options with USD-based compensation.
Formación
- 4+ years of hands-on experience operating Kubernetes in production, ideally with Service Mesh.
- Strong Linux and command line fundamentals.
- Troubleshooting complex systems from the app layer to infrastructure.
- Experience with a public cloud provider (Azure or AWS).
- Upper-intermediate English level.
Responsabilidades
- Operate and maintain the Kubernetes-based platform across public and private cloud environments.
- Work with observability tooling to ensure actionable alerts with up-to-date runbooks and documentation.
- Manage incidents end-to-end, including incident response, root cause analysis, and post-incident reviews.
- Onboard and support new clients onto the platform.
- Build automation and diagnostic tooling to reduce manual effort and improve performance.
- Identify and deliver process improvements.
- Support software and hardware upgrades and keep components up to date.
- Proactively manage capacity so the platform scales with demand.
Conocimientos
Herramientas
Descripción del empleo
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private cloud environments, including automation, tooling, and incident management.
- 4+ years of hands-on experience operating Kubernetes in production, ideally with Service Mesh.
- Strong Linux and command line fundamentals.
- Confident debugging and troubleshooting complex systems, from the application layer through to lower-level infrastructure.
- Experience working with a public cloud provider, preferably Azure or AWS.
- Working knowledge of Grafana, Prometheus, Loki and Tempo is a plus.
- Scripting or coding in Python or Java is a strong plus.
- CI/CD, infrastructure as code such as Helm or Terraform is a plus.
- Financial services background is not required.
- Operate and maintain the Kubernetes based platform across public and private cloud environments.
- Work with observability tooling to ensure alerts are actionable through up-to-date runbooks and documentation.
- Manage incidents from end-to-end, including incident response, root cause analysis, and post incident reviews.
- Onboard and support new clients onto the platform.
- Build automation and diagnostic tooling that cuts manual effort and evaluates performance.
- Identify and deliver process improvements.
- Support software and hardware upgrades and keep components up to date.
- Proactively manage capacity so the platform scales with demand.
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private cloud environments, including automation, tooling, and incident management.
- 4+ years of hands-on experience operating Kubernetes in production, ideally with Service Mesh.
- Strong Linux and command line fundamentals.
- Confident debugging and troubleshooting complex systems, from the application layer through to lower-level infrastructure.
- Experience working with a public cloud provider, preferably Azure or AWS.
- Upper-intermediate English level.
- Working knowledge of Grafana, Prometheus, Loki and Tempo is a plus.
- Scripting or coding in Python or Java is a strong plus.
- CI/CD, infrastructure as code such as Helm or Terraform is a plus.
- Financial services background is not required.
- Operate and maintain the Kubernetes based platform across public and private cloud environments.
- Work with observability tooling to ensure alerts are actionable through up-to-date runbooks and documentation.
- Manage incidents from end-to-end, including incident response, root cause analysis, and post incident reviews.
- Onboard and support new clients onto the platform.
- Build automation and diagnostic tooling that cuts manual effort and evaluates performance.
- Identify and deliver process improvements.
- Support software and hardware upgrades and keep components up to date.
- Proactively manage capacity so the platform scales with demand.
- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
- Exciting projects : Modern solutions with Fortune 500 and top product companies.
- Flextime : Flexible schedule with remote and office options.
Hands-on experience of at least 4 years operating Kubernetes in production, ideally with Service Mesh. Strong Linux and command line fundamentals. Confident debugging & troubleshooting complex systems, from the application layer through to lower-level infrastructure. Experience working with a public cloud provider, preferably Azure or AWS.
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