Senior DevOps Engineer

Job Description

Role Description:

• This is a full-time, remote-only position for a Senior DevOps Engineer.
• We are looking for a true senior-level DevOps engineer who combines deep cloud expertise with AI-native workflows and a strong automation mindset.
• This is not a classical DevOps role limited to CI/CD and infrastructure management.
• Modern DevOps goes far beyond the traditional stack. We expect someone who can step into any environment, analyze any codebase, understand complex architectures quickly, and make pragmatic, high-impact improvements.
• You should be comfortable navigating backend services, infrastructure repositories, CI/CD pipelines, Kubernetes clusters, and observability stacks without hand-holding.
• The ability to automate everything that can be automated is core to this role. If a process is manual, repetitive, or fragile, you are expected to redesign and automate it properly.
• A strong focus on AWS is mandatory.
• You will design and operate production-grade cloud architectures, implement Infrastructure as Code using Terraform, manage Kubernetes environments, and ensure reliability, scalability, and security at scale.
• In addition, hands-on experience with AI-assisted engineering tools such as Claude Code, CursorAI, or similar platforms is required.
• You should understand how to use AI effectively to accelerate development, improve infrastructure design, and optimize workflows.
• Experience building and operating AI agents for automation or engineering productivity is a strong advantage. However, AI tooling alone is not sufficient.
• We are hiring senior engineers only. If you are comfortable with AI tools but lack deep production experience in AWS, Terraform, Kubernetes, and observability, this role is not a fit.

Qualifications:

Mandatory Requirements:

• Senior-level experience designing and operating production systems in AWS.
• Deep understanding of networking, IAM, security, high availability, and cost optimization.
• Strong, proven Terraform expertise. Infrastructure as Code is non-negotiable.
• Extensive Kubernetes experience in production environments, including cluster architecture, workloads, scaling, networking, and security.
• Strong knowledge of observability: metrics, logs, tracing, alerting, and incident response. Experience with modern monitoring stacks and distributed systems troubleshooting is required.
• Proven ability to build and maintain robust CI/CD pipelines and delivery workflows.
• Strong Linux system administration background.
• Ability to quickly understand unfamiliar codebases and system architectures and operate effectively across different stacks and environments.
• Clear automation-first mindset with experience eliminating manual operational work.
• Hands-on experience using AI-assisted development tools such as Claude Code, CursorAI, or similar.
• Solid understanding of how to integrate AI tools into DevOps workflows in a practical, production-oriented way.
• Important: This is a senior position. Strong AWS, Terraform, Kubernetes, and observability experience is mandatory.
• AI-native workflows are expected.
• Candidates without deep, production-grade DevOps experience should not apply.

Additional Qualifications:

• Experience with multi-account AWS environments and complex enterprise architectures.
• Experience working in fast-paced, customer-facing environments.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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