Software Engineer, Compute Team

About the role

Spearheads the evolution of compute and data delivery services with an emphasis on scale and user requirements.
Collaborates to enable efficient and rapid access to our variety of new and growing data sets.
Improves reliability and scalability by resolving edge cases, studying failure modes, and writing tests.
Manages underlying persistence layers across Spanner, Redis, PostgreSQL and BigTable.
Owns the operation of these services by measuring performance, creating alerts, runbooks, and responding to incidents and performance anomalies.
Participates in an on-call rotation in support of our team’s services.

Responsibilities

• Develop and operate in-house distributed systems to ensure workflows are reliably executed at vast scale 24x7.
• Enable new techniques to understand our changing world, especially as AI models enable a wider range of analyses.
• Build and maintain backend services using a tech stack consisting of Go, Python, and Kubernetes running on Google’s Cloud.
• Work closely with cross-functional teams to deliver high-quality, scalable solutions.
• Ensure the reliability and performance of the deployed services.
• Manage and optimize underlying persistence layers across various databases.
• Monitor and improve service performance using observability tools like Prometheus and Grafana.
• Collaborate with other engineers to implement and maintain Kubernetes, Terraform, ArgoCD, Crossplane, and Linux internals.

Requirements

• 4+ years of relevant work experience building services in a language like Go or Python, and a clear interest in becoming an expert in both.
• Experience of cloud-native development - containerization, cloud services such as GCP/AWS.
• Experience with a large shared codebase, continuous integration and deployment workflows, and tooling like GitLab CI.
• Excellent interpersonal and communication skills, written and oral; can explain deeply technical topics to teammates and users.

Qualifications

• Pragmatic software engineers who apply sound engineering principles and operational discipline to large backend data services.
• Experience with orchestration workflows (e.g., Temporal) and batch/queue processing for high-concurrency systems.
• Expertise in large-scale distributed systems, including data consistency tradeoffs and high-volume networking (e.g., Nginx/Envoy).
• Operational proficiency with Kubernetes, Terraform, ArgoCD, Crossplane, and Linux internals.
• Experience implementing observability tools like Prometheus and Grafana to monitor service performance.
• Experience working with geospatial data, remote sensing, and related domain concepts.

Skills

• Strong understanding of cloud infrastructure and services (GCP/AWS).
• Proficiency in Go, Python, and Kubernetes.
• Experience with distributed systems and microservices architecture.
• Knowledge of geospatial data processing and remote sensing.
• Experience with observability tools and monitoring systems.

Benefits

• Comprehensive Medical, Dental, and Vision plans.
• Health Savings Account (HSA) with a company contribution.
• Generous Paid Time Off in addition to holidays and company-wide days off.
• 16 Weeks of Paid Parental Leave.
• Wellness Program and Employee Assistance Program (EAP).
• Home Office Reimbursement.
• Monthly Phone and Internet Reimbursement.
• Tuition Reimbursement and access to LinkedIn Learning.
• Equity.
• Commuter Benefits (if local to an office).

Pay

The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.

Schedule

This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week.