Principal Staff Backend Engineer

We are seeking an accomplished Principal Staff Backend Engineer to lead the design and development of scalable, secure, and resilient enterprise systems. You will set technical direction, mentor engineers, and architect platforms that power mission-critical products. This is a hands-on leadership role that spans cloud infrastructure, distributed systems, data platforms, and AI integration. What You Will Do: Architect and Design: Define large scale distributed architectures for reliability, scalability, and performance. Technical Leadership: Drive engineering standards, code quality, and operational excellence while mentoring senior engineers. Modern Services: Build and optimize microservices, APIs, and data pipelines using current enterprise technologies. Enterprise Delivery: Meet strict security, compliance, and performance requirements for global customers. Innovation: Evaluate and adopt emerging technologies where they add measurable value. Core Languages: Expert in at least one of Python, Java, or C++ Bonus: Go, Rust, or Scala Cloud and Infrastructure: Cloud: AWS, Azure, or GCP (multi-cloud experience is a plus) Containers and Orchestration: Docker, Kubernetes Infrastructure as Code: Terraform, Pulumi, CloudFormation Serverless: AWS Lambda, Google Cloud Functions, Azure Functions Networking and Service Mesh: Istio, Linkerd, Envoy, NGINX CI/CD: GitHub Actions, GitLab CI, Argo CD, Jenkins, Spinnaker APIs and Services: API Styles: REST, GraphQL, gRPC Architectures: Microservices, event-driven, CQRS, Saga patterns Gateway and Management: Kong, Apigee, AWS API Gateway, NGINX Data and Streaming: Databases: PostgreSQL, MySQL, Oracle NoSQL and Caching: DynamoDB, Cassandra, MongoDB, Redis, Memcached Streaming and Batch: Kafka, Pulsar, Spark, Flink, Airflow, dbt Analytics and Warehousing: Snowflake, BigQuery, Redshift, Databricks Search and Indexing: Elasticsearch, OpenSearch, Solr Object Storage and Lakehouse: S3, GCS, ADLS, Delta Lake, Iceberg, Hudi AI and Advanced Capabilities: ML Frameworks and Serving: TensorFlow, PyTorch, ONNX Runtime, Triton Inference Server Feature Stores and Pipelines: Feast, Kubeflow, MLflow AI Systems Integration: Vector DBs (Pinecone, Milvus, Weaviate), RAG patterns, embeddings Security and Compliance: Auth and Identity: OAuth2, OIDC, SAML, JWT Secrets and KMS: HashiCorp Vault, AWS KMS, Azure Key Vault, GCP KMS Compliance Awareness: SOC 2, ISO 27001, HIPAA, PCI DSS AppSec: SAST, DAST, dependency scanning, SBOM Reliability and Observability: Monitoring and Tracing: Prometheus, Grafana, OpenTelemetry, Jaeger, ELK/EFK Resilience: Circuit breakers, rate limiting, backoff, bulkheads, chaos engineering Performance: Profiling, load testing, capacity planning, autoscaling Qualifications: 10+ years of backend engineering experience including 3+ years at Staff or Principal level Proven success designing and operating distributed systems at scale Strong skills in algorithms, data structures, concurrency, and performance tuning Experience leading architecture reviews and influencing large engineering teams Clear communication with executives, product, security, and cross-functional partners Why Join:

You will shape platform strategy, mentor engineers, and build systems that billions can rely on. You will work with state of the art enterprise technology to solve high impact backend challenges.

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