Senior Backend Engineer

Requirements:

• Distributed Systems: Deep hands-on experience building and operating distributed backends, focusing on fault tolerance, consensus, partitioning, and high-availability failure modes. You should be adept at designing for consistency models (e. g., CAP theorem trade-offs), managing stateful services, and optimizing for latency-throughput trade-offs in high-volume production environments.
• Languages: Proficiency in Python, Go, or Java/Kotlin. You should have strong opinions on concurrency primitives and async I/O patterns.
• High-Throughput Infra: A proven track record with Apache Kafka, RabbitMQ, or SQS. Experience in stream processing, real-time pipelines, and event-driven architectures.
• Data Stores: Production experience with PostgreSQL, Redis, DynamoDB, or similar. You know when to reach for SQL vs. NoSQL.
• Cloud and Orchestration: Fluent in AWS or GCP. Comfortable with Kubernetes, Terraform, and CI/CD pipelines.
• Observability: Ability to build systems that are "debuggable by default" using distributed tracing and SLO-driven alerting (Datadog, Grafana, Prometheus).
• API Design: Experience scaling RESTful and/or gRPC APIs serving high-QPS traffic with proper versioning and auth.
• Ownership Mindset: 5+ years of building production systems. You are comfortable making architectural calls, leading RFCs, and mentoring junior engineers.

Bonus Points:

• Experience with telephony/VOIP/SIP or real-time media streaming.
• Knowledge of LLM serving infrastructure or ASR/TTS pipelines.
• Experience in fintech/collections domains or TCPA/RBI compliance.
• Familiarity with WebSockets or WebRTC.