AI-Native Platform Engineering Manager

Accenture PLC

Nashville (TN)

On-site

USD 120,000 - 180,000

Full time

10 hours ago
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Job summary

Accenture plc is seeking a senior software engineer to design and operate end-to-end production systems. You will span front-end, APIs, data, cloud infrastructure, DevSecOps, security, observability, and AI, taking ownership from architecture to production.

You will lead engineering direction, shape delivery, and collaborate with client teams while remaining hands-on to inspect, prototype, and debug implementations. Expect travel and complex problem solving.

Qualifications

  • Minimum of 5 years of professional software engineering experience.
  • Experience spanning multiple layers of the stack: front end to backend services.
  • Experience with major cloud platforms (AWS/Azure/GCP) and containers.
  • Experience designing and operating CI/CD pipelines with automated testing and security controls.
  • Experience building AI-enabled or agentic systems in production or near-production environments.

Responsibilities

  • Design and build production systems across front end, APIs, backend, data, infrastructure, and AI components, making architectural decisions across these areas.
  • Diagnose production issues anywhere in the stack: code, networks, infrastructure, identity, data, or AI workloads.
  • Lead engineering efforts with client technologists, delivering architectures and measurable outcomes.
  • Turn delivery into reusable patterns, tooling, and standards across projects.

Skills

Software engineering
Cloud platforms
CI/CD
APIs
AI-enabled systems
Security practices

Education

Bachelor's degree in CS or Engineering

Tools

Docker
Kubernetes
Terraform
Helm

Job description

Accenture plc is seeking a senior software engineer to design and operate end-to-end production systems. You will span front-end, APIs, data, cloud infrastructure, DevSecOps, security, observability, and AI, taking ownership from architecture to production.

You will lead engineering direction, shape delivery, and collaborate with client teams while remaining hands-on to inspect, prototype, and debug implementations. Expect travel and complex problem solving.

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