Senior AI-Native Production Systems Engineer

Accenture; Miami (FL); In loco; USD 120.000 - 260.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental, vision

401(k) plan

Paid holidays

Paid time off

Descrizione del lavoro

Accenture is seeking a senior software engineer to design and operate production systems across front end, APIs, data, and AI components. You will own cloud-native platforms, Docker/Kubernetes deployments, and CI/CD pipelines, delivering measurable outcomes for enterprise clients.

Responsibilities include building end-to-end architectures, diagnosing production issues, and shaping AI-enabled workflows with secure, scalable designs. Travel may be required for client work.

Competenze

• Minimum of 5 years of professional software engineering experience building and operating production systems.
• Experience across multiple layers of the stack from front end or API through services, integration, persistence, and asynch processing.
• Bachelor's degree in CS, Engineering or equivalent (12+ years) or similar mix.

Mansioni

• Design and build production systems across front end, APIs, backend services, data, and AI components.
• Diagnose production issues across application, networks, infrastructure, identity, data, or AI workloads.
• Design and deploy cloud workloads using containers, Kubernetes, serverless, and IaC.
• Own CI/CD pipelines, automated testing, security scanning, and release controls.
• Design data and context architecture for AI systems, including retrieval and context management.
• Build AI-enabled or agentic systems integrated into live production workflows.

Conoscenze

Java

Python

Go

TypeScript/JavaScript

C#

AWS

Azure

GCP

Docker

Kubernetes

Terraform

Helm

CI/CD

AI-enabled systems

Formazione

Bachelor's degree in Computer Science, Engineering or equivalent

Strumenti

Docker

Kubernetes

Terraform

Helm

Descrizione del lavoro

Accenture is seeking a senior software engineer to design and operate production systems across front end, APIs, data, and AI components. You will own cloud-native platforms, Docker/Kubernetes deployments, and CI/CD pipelines, delivering measurable outcomes for enterprise clients.

Responsibilities include building end-to-end architectures, diagnosing production issues, and shaping AI-enabled workflows with secure, scalable designs. Travel may be required for client work.