AI Native Software Engineering Manager

We are:

The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000
* people across 24 countries, ATCs will provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients’ business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You are:

A senior engineer who can build and operate an entire production system. You work across application and product engineering, APIs and services, data, cloud infrastructure, Dev Sec Ops , security, observability, and AI, and you are comfortable being accountable for all of it. You take an ambiguous business or engineering problem and own the technical solution from architecture through production. You are equally credible designing a distributed system, provisioning the infrastructure it runs on, building the pipeline that ships it, and designing the AI and agentic capabilities that operate inside it.

You also engineer with AI. It is part of how you build software: how you generate, test, review, modernize, document, and operate it. You can demonstrate the measurable difference it makes to your own delivery.

You'll shape how enterprises adopt AI-native engineering by leading multidisciplinary teams and setting technical direction, while staying hands-on enough to inspect, challenge, prototype, and debug the implementation yourself.

The Work You'll partner directly with client technology leaders, acting as both engineer and trusted advisor. You'll turn ambiguous requirements into architectures, executable increments, and measurable outcomes, then get them into production. Often these are net-new platforms that have to be stitched into a client's existing estate alongside our ecosystem partners.

Own the Whole System Design and build production systems across front end, APIs, backend services, integration, data, infrastructure, and AI components, making architectural decisions across all of these concerns together.

Diagnose production issues wherever they live: application code, networks, infrastructure, identity, data, or AI workloads.

Engineer Cloud-Native Platforms Design and deploy workloads using containers, Kubernetes, serverless, managed cloud services, and infrastructure as code (Terraform, Helm, or equivalent), building for elasticity, resilience, and recoverability.

Use the native capabilities of AWS, Azure, or GCP, including cloud networking, compute, storage, identity, secrets, service communication, and workload isolation.

Own Dev Sec Ops  and Production Engineering Build the automated path from commit to production: CI/CD, automated testing, security scanning, artifact management, infrastructure deployment, policy enforcement, and release controls.

Apply secure-by-design practices (identity, least privilege, secrets, encryption, dependency and supply-chain security),…