Senior/Staff Software Engineer (Cloud Native/Typescript) Job at Staffing Science, San Mateo, CA

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  • Staffing Science
  • San Mateo, CA

Job Description

Pre-series A Opensource startup is looking for Staff Engineers, full remote for now but will be opening in an office in the Bay area and will want folks to work 2-3 days a week in office. Office will be opened within 6-12 months so must be in the SF area and willing to eventually work hybrid. Must have worked on open source projects or developer tools and must have a strong typescript background Also will not sponsor and must live in the US, looking for people who have tenure, can take ownership and have startup experience too.

We are 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. If you’re passionate about high-performance backend systems, Kubernetes orchestration, and DevOps automation , we want to hear from you.

What You’ll Do

  • 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 highly 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 cloud-agnostic design

What We’re Looking For

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

Why Join Us?

  • Work on a high-impact open-source and enterprise cloud-native platform , used by developers and enterprises globally.
  • Be part of a hyper-growth AI-native startup , backed by top Silicon Valley VCs , growing rapidly with strong market adoption.
  • Build next-gen cloud-native developer infrastructure , working alongside the industry’s best engineers.
  • Join a high-caliber, mission-driven team at the forefront of the AI revolution redefining how software is built and deployed.

Key Factors

🔍 Deep TypeScript and backend engineering expertise

🔍 Hands-on Kubernetes and containerization skills

🔍 Ability to architect cloud-native applications across AWS, Azure, and GCP

🔍 Experience writing Helm charts and managing Kubernetes-based deployments

🔍 Understanding of intra-application communication in large-scale systems

🔍 Cloud-agnostic mindset—

Job Tags

Flexible hours, 2 days per week, 3 days per week,

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