Senior Backend Engineer

- Design and evolve scalable backend services in Python using FastAPI for high-availability, high-throughput workloads - Build well-versioned RESTful APIs aligned to OpenAPI/Swagger, emphasizing strong conventions for consistency, idempotency, and backward compatibility - Implement authentication and authorization using OAuth2/OIDC, session management, and fine-grained permissions - Design and maintain event-driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) - Design data models and optimize relational databases (PostgreSQL) for performance, partitioning, and horizontal scale - Introduce caching, rate limiting, and queuing to meet performance budgets and latency goals - Integrate with AI pipelines and model-serving endpoints, including streaming responses, async inference jobs, and robust error/retry semantics - Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations connecting backend services to Foundry-based analytics and workflows - Leverage Foundrys APIs and tooling to support data modeling, transformation, and secure data exchange across the platform - Write secure, well-tested code (unit, integration, end-to-end) and uphold coding standards through code reviews - Contribute to logging, metrics, and alerting (Prometheus/Grafana, ELK/OpenSearch) - Support compliance readiness (ISO 27001, GDPR) through secure-by-default design - Collaborate closely with the engineering team, product, and leadership to scope, sequence, and deliver outcomes - Translate product requirements into technical plans, breaking work into milestones with measurable success criteria - Mentor engineers on backend design and API ergonomics - Ship services via Docker containers with clean, minimal builds (optional) - Contribute to IaC (Terraform/CloudFormation) and CI/CD pipelines (GitHub Actions/Argo CD) - Support cloud operations with sensible defaults, cost awareness, and environment promotion across dev/staging/prod