Sr. DevOps Engineer (AWS)
J
JobgetherTechnology
Remote work within the United States.Full-TimeSenior
SalaryExpected salary range of $123,240–$144,797.60, with geographic differentials potentially available in certain high-cost U.S. locations.
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Job Details
- Required Skills
- AWSPythonKubernetesDevOpsAWS Lambda
Requirements
- Extensive experience operating and optimizing AWS production environments at scale.
- Deep understanding of the AWS Cloud Operations lifecycle, including security, governance, compliance, and disaster recovery models.
- Hands-on experience implementing and operating AWS Landing Zone Accelerator (LZA), including multi-account architecture, governance, security controls, and automation patterns.
- Experience designing and operating service-to-service communication using AWS Application Networking / AWS Lattice, including secure connectivity, traffic routing, service mesh patterns, cross-account communication, and hybrid networking.
- Experience integrating AI/ML capabilities into AWS platform engineering and designing and maintaining foundational services that support AI-enabled operations.
- Strong automation expertise, including Infrastructure as Code, deployment pipelines, operational scripting, and other approaches that eliminate repetitive manual work.
- Demonstrated experience migrating complex workloads onto AWS.
- Ability to design, build, and operate workloads using Kubernetes and AWS serverless architectures.
- Strong Python development skills for operational tooling, automation scripts, AWS Lambda functions, and related cloud engineering tasks.
- Strong troubleshooting, analytical, and systems-thinking skills.
- Commitment to a Christian faith-based mission.
Responsibilities
- Manage and continuously mature AWS environments, applying strong DevOps practices to improve platform reliability, scalability, security, and operational efficiency.
- Champion DevOps and lean-agile disciplines across major initiatives, including practices such as Test Driven Development, improved workflow, flow optimization, and systems thinking.
- Improve the integration of complex infrastructure builds with application deployment processes across major projects and systems.
- Troubleshoot complex technical problems involving information systems and provide insight, guidance, and technical expertise to other specialists.
- Analyze, design, evaluate, and improve large-scale automation scripts, infrastructure systems, and operational tooling.
- Research and assess emerging technologies that can improve efficiency, effectiveness, scalability, and platform capabilities.
- Develop and maintain automation that reduces manual work across infrastructure, deployment, and operational processes.
- Support the migration of complex workloads to AWS and help ensure successful operation of cloud-based workloads following migration.
- Design, build, and operate Kubernetes and AWS serverless workloads as part of modern cloud architectures.
- Integrate AI/ML capabilities into AWS platform engineering, including foundational services that improve operational efficiency, delivery workflows, and platform reliability.
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