Devops Engineer

About the Role

• Would you like to build the platform that lets a whole engineering team ship fast, safely, and reliably? We’re looking for a Delivery Engineer to join an AI-powered enterprise software company and make it easy to build and ship software at enterprise scale.
• You’ll own the foundations that engineers and customers depend on: cloud infrastructure, deployment and release workflows, observability, security, and the systems behind the AI-powered product. This is a hands-on role with broad ownership and a strong bias toward automation, simplicity, and continuous improvement. You’ll also help shape how the company uses AI across the engineering lifecycle, building AI-assisted workflows that move ideas and specifications to tested, production-ready software faster without lowering the quality bar.

About You

• You see platform engineering as a force multiplier for the whole company.
• You enjoy removing friction, automating repeatable work, and improving the system instead of just keeping it running.
• You value reliability without unnecessary complexity and build security into how systems are designed and operated.
• You keep cost in mind and improve efficiency as the platform grows.
• You communicate clearly in writing through documentation, runbooks, and technical decisions.
• You take ownership across boundaries when a problem needs changes in infrastructure, tooling, or application code.
• You use AI coding tools thoughtfully in your daily work.

What You’ll Be Doing

• Own and evolve cloud infrastructure and infrastructure as code across environments and regions.
• Improve the reliability, scalability, and efficiency of the platform.
• Build and refine CI/CD and release workflows so shipping is fast, routine, and reversible.
• Operate and improve the core data, networking, and platform services that applications rely on.
• Build observability that gives the team clear, actionable signals about performance and reliability.
• Strengthen security, access controls, encryption, and operational practices for an enterprise SaaS environment.
• Support the infrastructure behind AI features, with a focus on reliability, flexibility, and cost.
• Develop AI-assisted engineering workflows that turn specifications, operational knowledge, and repeatable tasks into code and automation.
• Use AI coding tools in your daily work while maintaining strong testing, review, and security standards.
• Create runbooks, documentation, and automation that make the platform easier for the whole engineering team to operate.

What We’re Looking For

• A drive to automate repetitive work and improve developer experience.
• Practical, thoughtful use of AI to accelerate engineering work.
• Ownership and a bias toward action.
• Clear written communication.
• A mindset of continuous improvement: you turn problems into opportunities to improve the system.

Technical Requirements

Must-Haves

• 5+ years in platform engineering, DevOps, SRE, or a similar role with production responsibility.
• Strong experience with AWS (or another major cloud platform) and infrastructure as code, such as Terraform.
• Production experience with containerized workloads and modern deployment patterns.
• Experience designing and operating CI/CD pipelines and release processes.
• Hands-on experience operating relational databases in production.
• Experience with observability, monitoring, and alerting systems.
• Solid security fundamentals across identity, access, secrets, encryption, and authentication.
• Enough Python, Go, or another backend language to read and change service code comfortably.
• Practical experience using AI coding or engineering tools in day-to-day development.
• Advanced English.

Nice-to-Haves

• Experience leading a platform migration or major infrastructure change with minimal customer disruption.
• Experience with multi-region or high-availability environments.
• Experience supporting enterprise security or compliance programs, such as ISO 27001 or SOC 2.
• Experience running infrastructure for LLM or other AI-powered workloads.
• Experience building internal developer tooling or AI-assisted software-delivery workflows.