2 hours ago
Remote, CanadaSenior
Responsibilities
- Build and maintain systems that provide efficient access to growing datasets.
- Extend and improve services for internal data search and image processing.
- Operate and tune Elasticsearch indexing for core datasets.
- Own services through performance measurement, alerting, on-call support, incident response, and investigation of performance anomalies.
- Determine methods and procedures for complex assignments and deliver solutions across variable technical factors.
- Advise team members, lead project teams, and oversee assignments of lower-level engineers.
- Contribute to the technical roadmap and shape the architecture of storage systems.
- Participate in design reviews and drive alignment on technical decisions.
Requirements
- 6–8 years of software engineering experience.
- Production backend services and API development experience in Go, Python, or similar modern languages.
- Fluency with AI-assisted development tools such as Claude or Copilot.
- Experience monitoring and operating highly scalable cloud-native software.
- Experience with relational datastores such as PostgreSQL or MySQL and non-relational datastores such as BigTable or Elasticsearch.
- Experience building, releasing, and supporting highly available and consistently performant services.
- Ability to analyze complex issues and provide in-depth technical evaluations for distributed backend services.
- Strong communication skills and ability to work effectively in a remote setting.
- Experience improving codebases, documentation, and team practices beyond feature work.
- Ability to exercise judgment in selecting methods, adapt complex techniques, and advise team members on complex technical matters.
- Preferred: 6+ years of Go development experience building production backend services.
- Preferred: 6+ years of Python development experience building customer-facing APIs.
- Preferred: experience maintaining infrastructure with Kubernetes and Terraform.
- Preferred: experience building services using cloud infrastructure and tooling such as AWS or GCP.
- Preferred: experience working with geospatial data.
Benefits
- Comprehensive medical, dental, and vision plans.
- Health Savings Account with a company contribution.
- Generous paid time off, holidays, and company-wide days off.
- 16 weeks of paid parental leave.
- Wellness Program and Employee Assistance Program.
- Home office reimbursement.
- Monthly phone and internet reimbursement.
- Tuition reimbursement and access to LinkedIn Learning.
- Equity and commuter benefits for employees local to an office.
- Volunteering paid time off.
- Full-time remote position based in the United States or Canada; employees near an office are expected to work there three days per week.
- Application deadline: November 25, 2026 at 11:59 p.m. PT.