Technical Lead/Senior Software Engineer

• 10+ years of software development experience, with demonstrated technical execution on complex, large-scale data or infrastructure platforms
• Strong proficiency in Java and/or Python; hands-on experience with Spark and distributed data processing
• Deep, hands-on experience with AWS EMR (or spark) for large-scale data processing pipelines
• Experience with streaming data ingestion technologies (e.g., Kafka, Flink) for high-volume telemetry data.
• Solid experience with NoSQL data stores (e.g., DynamoDB, MongoDB) OR lakehouse/query engines such as Trino, including schema and partitioning strategies for efficient querying at scale
• Experience collecting and processing infrastructure telemetry using tools such as Prometheus, Grafana.
• Proven expertise in cloud-native architecture - high availability, extensibility; AWS preferred
• Familiarity with containerized deployment environments (Kubernetes, Docker) and CI/CD pipelines
• Strong experience using AI-assisted development tools (e.g., Cursor, Windsurf, or equivalent) to accelerate delivery and maintain code quality
• Strong analytical and problem-solving skills with the ability to operate independently in an ambiguous environment

Preferred Qualifications:

• Working knowledge of capacity planning concepts - utilization forecasting, resource trending, and translating telemetry into actionable capacity signals
• Experience building dashboards and visualization layers for operational and reporting.
• Experience with Agile development methodologies and DevOps practices.