Senior Software Engineer

Role & responsibilities:

• Own end-to-end delivery of an area of the platform: design, build, test, deploy, operate.
• Design production-grade software in collaboration with the Engineering Manager & other seniors.
• Take critical technical decisions in your area & defend them with evidence.
• Lead code reviews, design reviews, & technical planning within your scope.
• Mentor mid-level & junior engineers on your team.
• Write clean, testable, well-documented code.
• Contribute to engineering standards & technical culture.

Preferred candidate profile

Technical must-have

• Eight or more years of hands-on software engineering experience, with a track record of delivering complex

distributed systems end to end.

• Strong hands-on Python (FastAPI, asyncio, Pydantic) in production. Strong Java (JDK 21 or a recent LTS release).
• Deep experience with relational databases (PostgreSQL or equivalent) at scale: schema design, migrations,

partitioning, query performance.

• Cloud-native experience in production: AWS, containers, Kubernetes, Helm.
• Event-driven architecture in production: Kafka (or equivalent), topic design, ordering, backpressure, schema

evolution.

• API design across REST, OpenAPI, & gRPC. Versioning & backward compatibility for external consumers.
• Modern engineering practices: CI/CD, code review, test automation, contract testing.
• OpenTelemetry or equivalent for observability across services (traces, metrics, logs).
• Strong problem-solving skills & clear written & verbal communication.

Nice to have

• Time-series data at scale (TimescaleDB, InfluxDB, ClickHouse, or equivalent).
• Graph databases (Neo4j or equivalent), Cypher, graph algorithms, & topology projection from a relational source of

truth.

• Stream processing at scale (Flink or equivalent).
• Applied machine learning in production: PyTorch, sklearn, XGBoost, MLflow. Model serving, drift monitoring,

feedback loops.

• LLM application engineering: agentic AI, prompt orchestration, tool calling, retrieval, evaluation. Familiarity with

Model Context Protocol (MCP).

• Vector databases for retrieval & agentic memory.
• Frontend adjacency: React 19 with TypeScript 5 for real-time dashboards.
• Prior experience in telecom, network operations, OSS, NMS, or infrastructure software.
• Network protocols & telemetry: IS-IS, BGP, gNMI, NETCONF, OpenConfig, OpenROADM.