Backend Software Engineer (Weather & Aviation)

Join Spire, a leading provider of satellite-powered data. As a Senior Backend Software Engineer, you'll be responsible for building and improving AWS-based backend services, designing and implementing authentication and authorization features, and developing and maintaining REST APIs and streaming endpoints. You'll also improve observability, share ownership of production operations, mentor other engineers, and collaborate closely with product owners and data scientists. Enjoy a range of benefits, including flexible time off, family leave, and a fitness reimbursement program.

• Contribuer à l'architecture des services de données météorologiques et aéronautiques, et améliorer les services backend basés sur AWS.
• Concevoir et mettre en œuvre des fonctionnalités d'authentification et d'autorisation en utilisant OIDC et OAuth 2.0, y compris la gestion des jetons.
• Développer et maintenir les API REST et les points de terminaison de streaming qui livrent les données météorologiques et aéronautiques aux clients.

• 6+ years' experience in professional backend software development, with significant time operating and scaling production systems that customers rely on
• Strong knowledge of OIDC and OAuth 2.0, including identity providers (e.g., Cognito, Okta, Auth0, Keycloak), JWT handling, and secure session and token management
• A track record of taking systems from "working" to "reliable": improving uptime, reducing incidents, and handling growth in data volume, traffic, or customers
• Excellent documentation, collaboration, and communication skills, and comfort making and defending architectural trade-offs
• Experience working in environments governed by NIST or ISO/IEC 27001 security standards, with an understanding of how they shape engineering decisions
• Proficiency in Python or another backend language such as Go, Java, or TypeScript/Node.js
• Strong hands-on experience with AWS (e.g., ECS/EKS, Lambda, API Gateway, RDS/Aurora, DynamoDB, S3, IAM, VPC networking) and infrastructure-as-code (Terraform, CDK, or CloudFormation)
• Experience designing and operating both REST APIs and streaming or real-time data endpoints
• Experience with the Pangeo ecosystem (xarray, Dask, Zarr, Jupyter) or other large-scale scientific and geospatial data tooling
• Background in the weather or aviation domains, including familiarity with data formats such as GRIB2 and NetCDF, aviation products such as METAR/TAF or ADS-B, or regulatory contexts such as the FAA