Senior/Staff Software Engineer (Cloud Native/Typescript)

Staffing Science — San Mateo, US
Published on

About the Role

Pre-series A opensource startup is seeking an experienced backend-focused cloud engineer who thrives in designing and deploying scalable, cloud-native applications. You will develop and optimize mission-critical cloud-native applications that operate across public cloud (AWS, Azure, GCP) and on-premise environments.

Responsibilities

In this role, you will:

  • 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.
  • Work closely with open-source contributors, enterprise teams, and cloud engineers to build flexible and extensible developer tools.
  • Build infrastructure that enables millions of developer interactions, ensuring security, performance, and scalability.
  • Own deployments across AWS, Azure, and GCP, ensuring a cloud-agnostic design.

About the Candidate

We are looking for a candidate who has:

  • 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.

Nice to Have Skills

Bonus points for candidates with:

  • 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

Staffing Science is a hyper-growth AI-native startup backed by top Silicon Valley VCs, with a strong focus on cloud-native developer infrastructure. You will be part of a high-caliber, mission-driven team at the forefront of the AI revolution, adopting market-leading practices and technologies.

Company Culture and Benefits

Join us to work on a high-impact open-source and enterprise cloud-native platform, collaborating with some of the industry's best engineers and redefining how software is built and deployed.

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