Senior Software Engineer – Enterprise AI
Global Infrastructure and Platform 📍 Onsite – Palo Alto, CA (5 days/week)
About the Team
Our client's Enterprise AI team is their internal AI enablement engine. They 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. Operating at the intersection of applied AI, distributed systems, and enterprise operations, this team's mission is to make a top-tier technology company 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 to bring AI capabilities to life.
About the Role
We are hiring a Senior Software Engineer to design, build, and operate the platform and backend systems that power our client 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 broader 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 GCP for scale, reliability, and performance
- Drive engineering excellence through code quality standards, design reviews, automation, and CI/CD best practices
- Collaborate across Product, AI, and Security teams to align architecture with business objectives
- Serve as a mentor and force multiplier, guiding engineers through architecture decisions, trade-offs, and delivery
- Partner with leadership to align engineering strategy with product objectives and the technical roadmap
What We're Looking For
- 6+ years of software engineering with a 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 GCP — 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 (e.g., Claude, LiteLLM), AI gateways, and agent frameworks — and the ability 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, OpenTelemetry
- Multi-cloud or hybrid infrastructure experience (AWS, GCP, 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
