Summary
✨ AI‑Generated
A senior AWS DevOps engineer is sought to mature and optimize a large-scale cloud platform. The role spans cloud infrastructure, automation, deployment integration, modernization, reliability, security, scalability, and technical problem-solving, with opportunities to evaluate emerging technologies and AI/ML capabilities.
Highlights
Senior AWS engineering role focused on managing and modernizing large-scale cloud infrastructure. The position combines hands-on cloud engineering, automation, deployment integration, security, scalability, technical mentoring, and opportunities to explore emerging technologies.
Description
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 modern DevOps practices.Commitment to a Christian faith-based mission and willingness to support an organizational environment centered on Christian values and spiritual practices.
Benefits
Remote work within the United States.Full-time position.Expected salary range of $123,240–$144,797.60, with geographic differentials potentially available in certain high-cost U.S.
locations.Generous paid time off.10% employer contribution to a 403(b) retirement fund in addition to salary.Comprehensive healthcare coverage.Free short-term professional counseling.Opportunities for spiritual growth through chapel services, prayer groups, and department devotionals.Opportunity to contribute technical expertise to a mission-driven organization focused on supporting children and communities.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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