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Sr.PlatformEngineer,L3
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“Sr. Platform Engineer, L3. Skills: AWS, Terraform, Kubernetes, CI/CD, Observability. Design, build, and maintain scalable, secure, and reliable cloud infrastructure in AWS, ensuring operational performance and automation across systems. Develop and manage Infrastructure as Code solutions using tools such as Terraform and CloudFormation to support repeatable and version-controlled deployments. Deploy, operate, and optimize Kubernetes clusters in production environments, ensuring high availability”
What You'll Achieve.
Ensuring operational performance and automation across systems. Supporting repeatable and version-controlled deployments. Ensuring high availability and efficient workload orchestration. Improving reliability and developer experience.
Industry & Context.
system design; root-cause analysis; problem-solving
Ability to operate effectively in evolving environments where priorities shift and ambiguity is common. Collaboration and communication skills, with a pragmatic, iterative approach to problem-solving.
What They're Looking For.
Must Have
Hands-on expertise with AWS production environments, including infrastructure design and operational management. Advanced proficiency with Infrastructure as Code tools, particularly Terraform, with practical production-level usage. Solid experience managing Kubernetes clusters in production, including deployment, configuration, and ongoing maintenance. Demonstrated ability to design and operate CI/CD pipelines, especially using GitHub Actions. Experience implementing observability and monitoring solutions such as Datadog, including metrics, logging, and alerting frameworks. Understanding of containerization workflows, including image optimization and efficient build strategies. Ability to operate effectively in evolving environments where priorities shift and ambiguity is common.
Nice to Have
Experience in startup or high-growth environments and exposure to platform engineering practices is highly valued.
What You'll Do.
Design, build, and maintain scalable, secure, and reliable cloud infrastructure in AWS, ensuring operational performance and automation across systems.
Develop and manage Infrastructure as Code solutions using tools such as Terraform and CloudFormation to support repeatable and version-controlled deployments.
Deploy, operate, and optimize Kubernetes clusters in production environments, ensuring high availability and efficient workload orchestration.
Build and maintain CI/CD pipelines using tools such as GitHub Actions, with potential exposure to Jenkins or ArgoCD for deployment automation.
Implement and improve observability systems, including monitoring, logging, alerting, and incident response practices (e.
, Datadog or similar tools).
Support containerized application workflows, including image build pipelines, optimization, and deployment strategies.
Collaborate with engineering teams to troubleshoot infrastructure issues, perform root-cause analysis, and drive long-term system improvements.
Participate in architecture discussions, technical planning, and ongoing platform evolution initiatives to improve reliability and developer experience.
How You'll Work.
Team & Collaboration
Collaborate with engineering teams to troubleshoot infrastructure issues, perform root-cause analysis, and drive long-term system improvements. Participate in architecture discussions, technical planning, and ongoing platform evolution initiatives to improve reliability and developer experience.
Communication Scope
collaboration; communication
Full Job Description
## Accountabilities Design, build, and maintain scalable, secure, and reliable cloud infrastructure in AWS, ensuring strong operational performance and automation across systems Develop and manage Infrastructure as Code solutions using tools such as Terraform and CloudFormation to support repeatable and version-controlled deployments Deploy, operate, and optimize Kubernetes clusters in production environments, ensuring high availability and efficient workload orchestration Build and maintain CI/CD pipelines using tools such as GitHub Actions, with potential exposure to Jenkins or ArgoCD for deployment automation Implement and improve observability systems, including monitoring, logging, alerting, and incident response practices (e.g., Datadog or similar tools) Support containerized application workflows, including image build pipelines, optimization, and deployment strategies Collaborate with engineering teams to troubleshoot infrastructure issues, perform root-cause analysis, and drive long-term system improvements Participate in architecture discussions, technical planning, and ongoing platform evolution initiatives to improve reliability and developer experience Requirements: Strong experience in infrastructure engineering, platform engineering, DevOps, or site reliability engineering roles Hands-on expertise with AWS production environments, including infrastructure design and operational management Advanced proficiency with Infrastructure as Code tools, particularly Terraform, with practical production-level usage Solid experience managing Kubernetes clusters in production, including deployment, configuration, and ongoing maintenance Demonstrated ability to design and operate CI/CD pipelines, especially using GitHub Actions Experience implementing observability and monitoring solutions such as Datadog, including metrics, logging, and alerting frameworks Strong understanding of containerization workflows, including image optimization and efficient build strategi
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