Senior Platform Developer

We re hiring a Platform Developer to build core services and integrations for an AI-first cloud-native platform You ll implement orchestration services plan route trace develop typed connector SDKs to external systems and models and instrument robust observability The ideal candidate is a hands-on engineer who writes clean reliable code understands distributed-systems trade-offs and can optimize for latency resiliency and cost Key Responsibilities Orchestration Services Build and harden services for planning routing retries timeouts idempotency and call-graph tracing ensure graceful degradation and fault isolation Connector Adapter Engineering Develop typed adapters REST gRPC MCP-style or similar for AI engines vector graph SQL stores and in-silico tools handle auth pagination rate limits and backoff Integration Delivery Stand up at least one AI engine integration and one in-silico model runner capture run provenance and metrics provide mocks for offline testing Observability Instrument tracing metrics logging OpenTelemetry or equivalent correlation IDs and structured logs expose health readiness endpoints and SLO dashboards Performance Caching Optimize P50 P95 latency concurrency and throughput implement response result caches connection pooling and backpressure strategies Quality CI CD Write unit integration contract tests maintain API schemas participate in PR reviews automate builds and environment promotion via CI CD and IaC Security Compliance Implement least-privilege access secrets management and audit logging follow secure coding standards and dependency scanning Documentation Support Produce developer docs and runbooks support incident triage root-cause analysis and post-mortems Required Skills Backend Engineering 4-8 years building production services microservices event-driven in Python TypeScript Node js API Contracts Strong REST gRPC design OpenAPI JSON Schema idempotency keys error taxonomies pagination and versioning Distributed Systems Retries with jitter exponential backoff circuit breakers bulkheads DLQs queues Kafka SQS Pub Sub RabbitMQ and concurrency control Data Integrations Experience integrating with vector DBs e g pgvector Pinecone Weaviate Milvus graph DBs RDF SPARQL or property graph Gremlin SQL warehouse and search OpenSearch Elasticsearch Observability OpenTelemetry traces metrics logs log aggregation alerting and performance profiling Cloud DevOps Containers Kubernetes Terraform CloudFormation CI CD GitHub Actions Azure DevOps Jenkins secrets management Vault KMS and environment promotion practices Security by Design OAuth2 OIDC SSO integration RBAC ABAC secure coding and audit logging fundamentals Testing Discipline Unit integration e2e contract testing mocks stubs test data management Good to Have Skills AI LLM Integrations Function tool-calling patterns model routing embedding services and safe tool-use guardrails Performance Tuning Async I O connection reuse profiling pprof py-spy and cache strategy design Resilience Networking Service mesh Istio Linkerd API gateways rate-limit governance and zero-trust networking basics Data Quality Lineage Basic familiarity with data validation provenance and lineage capture for pipelines FinOps Awareness Token run-time cost tracking cost-per-request dashboards and budget enforcement hooks Docs DX Developer portal contributions code examples SDKs and CLI tooling to improve developer experience This role is ideal for a pragmatic engineer who enjoys building reliable platform primitives and integrations that other teams can depend on-secure observable and fast