Sr Backend Engineer, Discovery API

Summary

Preferred Qualifications

• Catalog experience with geospatial data or other large-scale archives
• Familiarity with geospatial standards and tooling such as STAC, OGC APIs, PostGIS, and GDAL
• Kubernetes or similar container orchestration
• Zero-downtime deploys and service modernization
• Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.
• For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
• Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
• The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
• The date of posting can be found on Vantor's Career page at the top of each job posting.
• To apply, submit your application via Vantor's Career page.
• EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Qualifications

• 6+ years of backend development, building secure, scalable services in production
• Strong Python and API design, with a framework such as FastAPI or Flask
• Deep experience building and operating data pipelines over large datasets
• Strong PostgreSQL, including performance tuning at scale
• Fluent building and operating cloud services (AWS, GCP, or similar), with infrastructure as code such as Terraform or CloudFormation
• Strong automated testing discipline
• Applies AI to accelerate implementation
• US citizenship required
• Able to obtain and maintain a US security clearance
• Catalog experience with geospatial data or other large-scale archives
• Familiarity with geospatial standards and tooling such as STAC, OGC APIs, PostGIS, and GDAL
• Kubernetes or similar container orchestration
• Zero-downtime deploys and service modernization
• Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.
• For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Responsibilities

• Own and evolve the catalog API, from design through production
• Build and operate the data pipelines that keep the catalog current
• Tune performance across the API and Postgres at scale
• Ship safely and often, with automated tests and reliable deploys
• Shape the architecture and technical direction alongside a small team