Senior/Staff Software Engineer (Cloud Native/Typescript)

Staffing Science — Fremont, US
Published on

About the Role

Staffing Science is seeking an experienced backend-focused cloud engineer who thrives in designing and deploying scalable, cloud-native applications. You should have deep expertise in TypeScript, Kubernetes, and Docker, with a strong emphasis on backend systems, cloud infrastructure, and distributed architectures.

In this role, you will develop and optimize mission-critical cloud-native applications that operate across public cloud (AWS, Azure, GCP) and on-premise environments. You will be instrumental in building self-hostable enterprise solutions, helping developers and organizations scale their AI-driven applications efficiently.

Responsibilities

  • Architect and develop scalable, self-hostable cloud-native applications that run across multi-cloud and on-prem environments.
  • Design and implement backend infrastructure, APIs, and system integrations that support high-scale developer workflows.
  • Optimize containerized deployments with Kubernetes, Docker, and Helm, ensuring high availability and seamless automation.
  • Lead best practices for intra-application communication, distributed systems, and CI/CD pipelines.
  • Collaborate with open-source contributors, enterprise teams, and cloud engineers to create highly flexible and extensible developer tools.
  • Build infrastructure that enables millions of developer interactions, ensuring security, performance, and scalability.
  • Manage deployments across AWS, Azure, and GCP with a cloud-agnostic design.

About the Candidate

Expectations and Nice to Have Skills

  • Strong backend engineering expertise in Node.js / TypeScript (5+ years)
  • Deep Kubernetes experience – container orchestration, Helm charts, cluster management
  • Hands-on Docker expertise – optimizing containerized environments
  • Experience designing self-hosted and cloud-native applications that operate in hybrid cloud/on-prem environments
  • Strong AWS experience – understanding of cloud-native patterns and infrastructure design
  • High autonomy – capable of leading and executing complex projects with minimal guidance
  • Deep understanding of intra-application communication and backend system optimization

Bonus Points For

  • Experience with Azure and GCP – multi-cloud deployment expertise
  • Background in DevOps, CI/CD automation, and cloud security
  • Experience building developer tools, SDKs, and open-source platforms
  • Strong grasp of distributed computing and scalable backend architectures
  • Experience working with LLMs or AI-native infrastructure
  • Python experience for backend automation and AI-driven integrations

About the Company

Join Staffing Science, a pre-series A Open Source startup, which is currently fully remote but will transition to a hybrid working model (2-3 days in the office) within 6-12 months as the Bay area office opens. Candidates must be in the San Francisco area and willing to eventually work hybrid. The company values tenure, ownership, and startup experience and offers very competitive growth opportunities.

Company Culture and Benefits

  • Work on a high-impact open-source and enterprise cloud-native platform, used globally by developers and enterprises.
  • Be part of a hyper-growth AI-native startup, backed by top Silicon Valley VCs, with strong market adoption.
  • Join a high-caliber, mission-driven team at the forefront of the AI revolution, redefining how software is built and deployed.
  • Enjoy a dynamic work environment where you can contribute to exciting projects with the industry’s best engineers.
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