Delivery Engineer

Reejig is the Work Operating System for the AI powered enterprise.

We give companies a complete, validated view of their work by mapping every role, task, skill, and workflow. With this intelligence, we redesign how work should flow, surface where automation creates the highest leverage, and recommend the right AI agents for the enterprise.

Every change is measured and tied to real operational and workforce impact.

Inside Reejig, we build the same future we sell. We are developing our own AI powered workforce that supports our teams and our customers.

This is a place for builders who want to help define how work will operate in the AI era.

Role Overview

We are looking for a Delivery Engineer to make it fast, safe and reliable for Reejig to build and ship software at enterprise scale.

You will own the foundations that our engineers and customers depend on: cloud infrastructure, deployment and release workflows, observability, security and the systems that support our AI-powered product. This is a hands-on role with broad ownership and a strong bias toward automation, simplicity and continuous improvement.

You will also help shape how Reejig uses AI inside the engineering lifecycle, building AI-assisted workflows that help the team move from ideas and specifications to tested, production-ready software faster without lowering the quality bar.

What You Will Do

• Own and evolve our cloud infrastructure and infrastructure-as-code across environments and regions
• Improve the reliability, scalability and efficiency of the platform that runs Reejig
• 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 our 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 and platform capabilities behind our AI features, with a focus on reliability, flexibility and cost
• Develop AI-assisted engineering workflows that help turn specifications, operational knowledge and repeatable engineering tasks into code and automation more efficiently
• Use AI coding tools as part of your own day-to-day work, while maintaining strong testing, review and security standards
• Create the runbooks, documentation and automation that make the platform easier for the whole engineering team to operate

What You Need To Be Effective

You will thrive here if you see platform engineering as a force multiplier for the whole company. You enjoy removing friction, automating repeatable work and improving the system rather than simply keeping it running.

What We Value

• Deep, practical fluency with cloud infrastructure and infrastructure-as-code
• Reliability without unnecessary complexity
• Security built into the way systems are designed and operated
• Strong cost awareness and a habit of improving efficiency as the platform grows
• A drive to automate repetitive work and improve developer experience
• Practical, thoughtful use of AI to accelerate engineering work
• Clear written communication through documentation, runbooks and technical decisions
• Ownership across boundaries when solving a problem requires changes to infrastructure, tooling or application code

What Success Looks Like

• Engineers can ship confidently and frequently without release-day drama
• The platform remains reliable as product usage, data and AI workloads grow
• Problems are detected early and become opportunities to improve the system
• Security and compliance expectations can be met without slowing down the team
• Infrastructure costs stay understandable and proportional to growth
• AI-assisted engineering workflows save meaningful time while preserving quality and control
• Strong alignment with The Reejig Code

Minimum Requirements

• 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 containerised 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 comfortably read and change service code
• Practical experience using AI coding or engineering tools in day-to-day development

Nice to have

• 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 programmes 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

Why This Matters

Reejig is building an AI-powered enterprise product at a time when both the technology and customer expectations are moving quickly. The Delivery Engineer creates the leverage that lets a small engineering team move fast without compromising reliability, security or trust. The better this platform becomes, the faster the whole company can build.