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Watershed is an enterprise sustainability platform used by companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to manage climate and ESG data, produce audit-ready metrics for regulatory reporting (including CSRD), and drive real decarbonization.
The Cloud Infrastructure team builds and operates the foundational systems powering Watershed's product, enabling all engineers to ship safely and efficiently. The team owns core compute, databases, networking, deployments, and observability, with a focus on production reliability, predictable infrastructure costs, security, and a low-toil developer experience.
Current areas of investment include upgrading networking architecture, improving test environment and deployment system usability, evolving the observability toolkit, hardening AI infrastructure as the AI product suite grows, and supporting agentic engineering workflows.
In this role, you will:
- Design, build, and operate reliable cloud infrastructure across compute, databases, networking, deployment systems, and observability
- Contribute to technical planning, design reviews, team processes, and a culture of thoughtful, high-impact development
- Collaborate with product engineers to understand their needs and provide high-leverage infrastructure primitives that accelerate safe delivery
- Strengthen cloud security in partnership with Security and Compliance functions, and drive infrastructure cost efficiency with Finance
- Participate in the team's 24/7 on-call rotation and convert operational lessons into lasting improvements
Watershed has hub offices in San Francisco, New York, London, and Mexico City, with satellite offices in Denver, Sydney, Paris, and Berlin. The role requires 4 days per week in office.
REQUIREMENTS:
- 2–5 years of software and/or infrastructure engineering experience, or equivalent practical experience
- Hands-on experience in one or more of: Kubernetes, Terraform / infrastructure as code, CI/CD, networking, relational databases, observability, reliability, or cloud security
- Experience with a major cloud provider is required; GCP experience is helpful but not required
- Comfort building appropriate tooling for the company's stage, particularly supporting AI infrastructure and agentic products
- Passion for building enabling systems that help other engineers deliver excellent customer outcomes
