Senior/Staff Backend Engineer

Zanskar

$130K — $155K *
Energy & Utilities
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of software engineering experience, preferably in a scientific setting.
  • Proven experience in designing and implementing distributed computing systems.
  • Strong skills in fault-tolerant event-driven architectures and orchestration systems.
  • Experience with persistent data storage development using RDBMS and cloud blob storage.
  • Familiarity with CI/CD practices and version control using GitHub.
  • Cloud resource architecture and management proficiency on GCP or AWS.
  • Fluency in Python and SQL is required.

Responsibilities

  • Lead the design and delivery of a reliable distributed compute system.
  • Learn and adapt existing systems for scalability and reliability.
  • Collaborate with geophysicists and scientists to solve complex geothermal challenges.
  • Teach distributed systems principles to team members and learn from their expertise.
  • Enhance system observability through logging and metrics management.
  • Manage cloud-based workloads using orchestration tools and architectures.
  • Contribute to architectural decisions around data persistence and storage.

Benefits

  • Paid holidays and 15 days of PTO with accrued increases based on tenure.
  • Medical, dental, and vision coverage included.
  • 401k plan offered for retirement saving.
  • Stock options provided to employees.
  • Opportunities for growth within a company focused on reducing carbon emissions.
Full Job Description
Senior/Staff Backend Engineer

Role Overview

Title:Senior/Staff Backend Engineer

Hours: Full-Time, Salaried

Location: Salt Lake City, UT, Hybrid

BenefitsEligible: Yes

Manager: Head of Reservoir R&D

Who you are

The Senior/Staff Backend Engineer will play a critical role developing and maintaining Zanskar's next-generation multi-physics well-targeting engine. A successful candidate will:
  • 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.


What we're looking for
  • 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.
  • Proven technical skills:
    • 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.
    • Experience with any of the following is a plus: experiment tracking, optimization methods, applied algorithm development, reinforcement learning and other AI/ML techniques, web development, and familiarity with geoscience concepts and applications.
Location and Benefits
  • The position is based out of our headquarters in Salt Lake City, Utah, and is a hybrid position
  • Benefits include:
    • 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


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