Sr. DevOps Engineer (AWS)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. DevOps Engineer (AWS) based in United States. This role is responsible for helping manage, mature, and optimize a large-scale AWS platform while advancing modern DevOps practices across the organization. You will work closely with AWS teams and internal technology stakeholders to increase the value, reliability, security, and scalability of cloud infrastructure. The position combines hands-on cloud engineering, automation, infrastructure modernization, and technical problem-solving. You will help integrate complex infrastructure builds with application deployment processes and support major technology initiatives. The role also provides opportunities to research emerging technologies, incorporate AI/ML capabilities, and improve operational efficiency. As a senior technical contributor, you will mentor others and help champion lean, agile, and systems-thinking practices.

Accountabilities

• 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.
• Provide coaching, technical expertise, and guidance to colleagues and other professionals, and oversee work when appropriate.
• Maintain a strong commitment to child protection and incorporate applicable safeguarding considerations into technology decisions, activities, and processes.

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, with the ability to diagnose complex technical issues and develop scalable solutions.
• Ability to research emerging technologies and assess their potential value within a cloud platform environment.
• Strong communication, collaboration, mentoring, and technical leadership capabilities.
• Ability to work effectively in a lean-agile environment and help others adopt moder…