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AI Focus Software Developers

Job in Palo Alto, Schuylkill County, Pennsylvania, USA
Listing for: LanceSoft
Full Time position
Listed on 2026-09-03
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps, Backend Developer
Job Description & How to Apply Below
Location: Palo Alto

Sr. Software Developer

We're hiring a Sr. Software Developer to design, build, and operate the platform and backend systems that power company '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 GCP 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 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 (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, 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.
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