Senior/Staff Backend Engineer

About the role

Zanskar is revolutionizing geothermal exploration by using novel software and machine learning modeling to find and develop new resources. The Senior/Staff Backend Engineer will play a critical role developing and maintaining Zanskar's next-generation multi-physics well-targeting engine.

What you'll do

• Lead – you will be a trusted leader who can both design and deliver a reliable distributed compute system that meets the ongoing needs of our scientific research teams.
• Learn – you will be entering a team with an existing system in place that needs to grow and scale. You will learn the domain from your peers as you identify how to migrate the system for scale and reliability.
• Collaborate – you won't just be working with people like yourself. You'll be working with some of the most brilliant geophysicists, geoscientists, seismologists and engineers tackling the challenges of geothermal discovery. Collaborating with your peers to solve hard problems is the name of the game.
• Teach – you will bring critical skills and experience that should be taught to others. You will have the opportunity (and education) to help others better understand your craft as a distributed systems engineer, while you learn from them their craft in modeling the earth's subsurface.

Requirements

• Minimum 7+ years experience in software engineering in a business environment, ideally with a heavy scientific component.
• Experience leading the design and implementation of distributed computing systems.
• Experience with the development of fault-tolerant, resilient event-driven architectures, and building and managing orchestration systems to massively scale cloud-based workloads (serverless, Kubernetes, and/or custom VM fleets).
• Experience defining and developing persistent data storage for digital artifacts, both with RDBMS and cloud blob storage at scale.
• Experience ensuring system observability through logging, monitoring, alerting and metrics.
• Familiarity with software engineering best practices: CI/CD (GitHub Actions or similar), version control (GitHub), containerization (Docker) and Infrastructure as Code (Terraform, Pulumi).
• Experience architecting, permissioning and maintaining cloud resources (GCP, AWS).
• Fluency in Python and SQL are required.

Preferred qualifications

• Experiment tracking
• Optimization methods
• Applied algorithm development
• Reinforcement learning and other AI/ML techniques
• Web development
• Familiarity with geoscience concepts and applications

Benefits

• Paid holidays
• 15 days PTO + PTO accrual increase based on tenure
• Medical, dental and vision coverage
• 401k
• Stock options
• Growth opportunities at a company with a direct impact in displacing carbon emissions