Responsibilities
- Build and maintain systems that provide efficient access to new and growing data sets
- Extend and improve services for internal data search and image processing
- Operate and tune Elasticsearch indexing for core data sets
- Full service ownership by measuring performance, creating alerts, being on call, and responding to incidents and performance anomalies
- Shape technical approach and system design for the team's high-impact projects
- Help engineers on the team grow through code reviews, pairing, and design discussions
- Contribute to the technical roadmap and help shape the architectural direction of the team's systems
- Participate in design reviews and help drive alignment on technical decisions
Requirements
- 10+ years of software engineering experience
- 6+ years of Go development experience building production backend services
- 6+ years of Python development experience building customer-facing APIs
- Fluency with AI-assisted development tools (e.g. Claude, Copilot) as part of your daily engineering workflow
- Experience monitoring and operating highly scalable cloud-native software
- Experience with relational datastores (PostgreSQL or MySQL) and non-relational datastores (e.g. BigTable, Elasticsearch) and an understanding of when to use each
- Experience building, releasing, and supporting highly available, consistently performant services
- Excellent communication skills and an ability to work well in a remote setting
- Experience improving codebases, documentation, and team practices through regular contributions beyond feature work
- Experience driving architectural decisions and guiding technical trade-offs across a team
- Experience supporting the growth of engineers around you through collaboration and knowledge sharing
- Ability to lead system design conversations for distributed backend services
Nice to Have
- Experience maintaining infrastructure with Kubernetes and Terraform
- Experience building services that leverage cloud-based infrastructure and tooling such as AWS or GCP
- Experience working with geospatial data before, even tangentially
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)
- Volunteering Paid Time Off
Work Arrangement
Hybrid — San Francisco, Washington DC, Germany, Austria, Slovenia, The Netherlands
Additional Information
- Remote position based in the United States
- If located near an office, expected to work from that office 3 days per week
- Application deadline: September 17, 2026 at 11:59p PT
