AI-Native Production Systems Manager

Accenture PLC; Walnut Creek (CA); On-site; USD 94,000 - 316,000; Full time

Job summary

Accenture PLC is seeking a senior software engineer to design and operate production systems across multiple layers of the stack, including AI-enabled components. The role involves building cloud-native platforms with containers, orchestration, and infrastructure as code, while leading diverse teams and collaborating with clients.

You will implement secure CI/CD pipelines, drive production excellence, and contribute to AI-native engineering strategies across enterprise environments.

Qualifications

• Minimum of 5 years of professional software engineering experience building and operating production systems.
• Minimum of 5 years of hands-on experience spanning multiple layers of the stack, including front end or API through services, integration, persistence, and asynchronous processing.
• Minimum of 5 years of programming experience in at least one major language such as Java, Python, Go, TypeScript/JavaScript, or C#.

Responsibilities

• Design and implement production systems across front end, APIs, backend services, data, and AI components.
• Build and operate CI/CD pipelines to production with automated testing and security controls.
• Lead engineering teams and technical workstreams, including client-facing discussions and workshops.

Skills

Software engineering

Cloud platforms

CI/CD

AI/agentic systems

Leadership

Education

Bachelor's degree in Computer Science, Engineering or equivalent

Tools

Docker

Kubernetes

Job description

Accenture PLC is seeking a senior software engineer to design and operate production systems across multiple layers of the stack, including AI-enabled components. The role involves building cloud-native platforms with containers, orchestration, and infrastructure as code, while leading diverse teams and collaborating with clients.

You will implement secure CI/CD pipelines, drive production excellence, and contribute to AI-native engineering strategies across enterprise environments.