Platform Infrastructure DevSecOps Developer

Job Summary

In a plan to strengthen and extend our footprint in EY Enterprise Technology we are looking for an innovative AI-Native DevSecOps Developer to rapidly design, build and ship custom software products that automate, orchestrate and modernize EY's infrastructure platform engineering capabilities. This is not a traditional software engineering role - it is a product builder position for someone who uses AI as their primary development accelerator and who thrives on shipping working software quickly.

The successful candidate will lead the end-to-end delivery of AI-native internal products - self-service infrastructure portals, workflow orchestration engines, policy-as-code enforcement systems and operational automation platforms - built on modern cloud-native stacks including Kubernetes, Temporal, Terraform and Angular. They will have sufficient infrastructure awareness to understand the operational context of what they are building, and will work closely with I&O engineering teams to translate complex infrastructure workflows into elegant, automated, AI-augmented software solutions.

Your key responsibilities

The I&O Platform Infrastructure AI-Native DevSecOps Developer designs and delivers bespoke internal software products that eliminate manual infrastructure workflows, accelerate provisioning and give engineers and stakeholders real-time, self-service operational visibility. Drawing on AI coding tools as a core development accelerant, this professional dramatically compresses delivery timelines - prototyping, iterating and shipping production-grade software at a pace that traditional development workflows cannot match.

The role spans the full software development lifecycle - from requirements and architecture through build, test, security hardening, deployment and ongoing improvement - with a security-first mindset embedded at every stage. The developer will own the product delivery end-to-end, partnering with I&O platform engineers, architects and service management stakeholders to ensure what is built reflects the real operational needs of the infrastructure estate and is designed to scale across EY's global data center footprint.

Skills and attributes for success

• Demonstrated ability to build and ship production-grade software rapidly using AI development tools as a primary delivery accelerant (exclusionary).
• Deep, active use of AI coding assistants throughout the development lifecycle, including:
  • GitHub Copilot or equivalent AI pair-programming tools
  • ChatGPT, Claude or similar LLMs for architecture design, code generation and review
  • AI-assisted test generation, security scanning and code refactoring
  • Prompt engineering for development workflow automation
• Strong full-stack development capability across front-end and back-end disciplines:
  • Angular (v14+) for self-service portal and operational UI development
  • Python or Go for back-end services, APIs and automation engines
  • REST and GraphQL API design and implementation
• Hands-on experience with workflow orchestration platforms, particularly Temporal.io.
• Strong Kubernetes engineering skills - deployment, Helm charts, operators, RBAC and namespace management.
• Infrastructure-as-Code authoring using Terraform and Ansible for provisioning automation.
• Strong DevSecOps pipeline development - CI/CD design, security gate integration and automated deployment:
  • GitHub Actions or Azure DevOps pipelines
  • SAST/DAST tooling integration (Snyk, SonarQube, OWASP ZAP or equivalent)
  • Container image scanning and policy enforcement (Trivy, Cosign, OPA/Gatekeeper)
• Policy-as-Code implementation using Open Policy Agent (OPA) or equivalent.
• Experience building AI-native product features, including:
  • LLM integration via API (OpenAI, Azure OpenAI, Anthropic or equivalent)
  • Retrieval-Augmented Generation (RAG) patterns for operational knowledge bases
  • AI-driven workflow decision making and self-healing automation
  • Copilot / chat interface integration into operational tooling
• Sufficient infrastructure platform knowledge to design software that reflects real-world operational constraints:
  • Virtualization and hyperconverged infrastructure concepts (Nutanix, Hyper-V, VMware)
  • Windows Server and Linux operating system fundamentals
  • Networking concepts - VLANs, DNS, IP management, load balancing
  • Storage and compute provisioning workflows
  • ServiceNow ITSM integration patterns
• Strong software product ownership mindset - able to take a problem statement from whiteboard to production with minimal hand-holding.
• Strong written and verbal communication skills - able to demo working software and articulate product decisions to both technical and executive audiences.
• Strong working knowledge of Agile, Kanban, SCRUM and ITIL frameworks.

To qualify for the role, you must have experience with

• Full-stack software product development and delivery - 5-7 years.
• AI-assisted software development as an active daily workflow - 2+ years.
• Angular front-end application development (v14+) - 3-5 years.
• Python or Go back-end service development - 5+ years.
• Kubernetes cluster management and application deployment - 3-5 years.
• Terraform and Ansible Infrastructure-as-Code authoring - 3-5 years.
• Temporal.io or equivalent workflow orchestration platform (Argo, Conductor or equivalent).
• CI/CD pipeline development with integrated security gates - 3-5 years.
• LLM API integration for production AI-native product features.
• Open Policy Agent (OPA) or equivalent policy-as-code enforcement.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.