AI Focus Software Developers

Job Title: AI Focus Software Developers

Location: Palo Alto, CA

Duration:8 Months

Senior Software Engineer - Enterprise AI

Enterprise AI - Global Infrastructure and Platform

About the Team

• The Enterprise AI team is Client s internal AI enablement engine. We evaluate where AI can make a real difference, build the platforms and patterns that make adoption easy, and help
• engineering teams across the organization work smarter and faster. We operate at the intersection of applied AI, distributed systems, and enterprise operations our job is to make
• Client s more efficient, one AI-powered workflow at a time.
• This is a high-impact, high-autonomy team where you ll work closely with engineering, product, and operations teams across Client s to bring AI capabilities to life.

About the Role

• We re hiring a Sr. Software Developer to design, build, and operate the platform and backend systems that power Client s at scale. You ll own core infrastructure from Kubernetes and
• cloud-native services to APIs and developer tooling and work closely with product, AI, and security teams. This is a hands-on, high-ownership role where you write production code,
• design systems, lead code reviews, and make the engineering organization more effective.

What you ll Do

• Own end-to-end delivery of major platform initiatives, from design through deployment and post-launch success.
• Own Kubernetes at depth clusters, networking, operators, container lifecycle, and multi-tenant orchestration.
• Design, develop, and optimize distributed services and cloud-native infrastructure on AWS and/or Google Cloud Platform for scale, reliability, and performance.
• Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices.
• Collaborate across teams Product, AI, and Security to align architecture with business objectives.
• Be a mentor and multiplier, guiding engineers through architecture decisions, trade-offs, and delivery.
• Partner with leadership to align engineering strategy with product objectives and technical roadmap.

What We re Looking For

• 6 years of software engineering with deep backend and infrastructure focus.
• Strong programming skills in Python and/or Go you ship production code, not just scripts and configs.
• Deep, hands-on Kubernetes experience building and operating clusters, not just deploying to them.
• Proven experience designing and operating distributed systems in production.
• Cloud-native fluency across AWS and/or Google Cloud Platform compute, storage, IAM, networking, and managed services.
• Experience with infrastructure-as-code (Terraform or similar) and CI/CD pipelines.
• Familiarity with applied AI tooling and patterns agentic AI tools (Claude, LiteLLM), AI gateways, agent frameworks and being able to build backend services that integrate with them.
• Strong system design and architectural judgment.
• Clear communicator who partners well across product, security, and AI teams.

Nice to Have

• Observability stacks Prometheus, Grafana, Datadog, Open Telemetry.
• Multi-cloud or hybrid infrastructure experience (AWS, Google Cloud Platform, on-prem).
• Familiarity with API gateways, AI gateways, and policy/authorization frameworks (ABAC, OPA).
• Service mesh or platform-as-a-service design experience.
• Track record of improving engineering productivity at scale.