Senior Software Development Engineer (Amazon)

Job Description Our EBMS Real-Time Data Platform team is looking for a Software Development Engineer with hands-on experience in Apache Flink, Amazon Kinesis, and Java to build and maintain our real-time BMS data pipeline that ingests telemetry from thousands of global building management systems. The engineer will be responsible for the full lifecycle of stream- processing applications; from design and development through deployment and production operations with a focus on delivering 99% system uptime, comprehensive observability, and fault-tolerant architecture. Primary Responsibilities - Design, develop, and optimize Apache Flink stream-processing applications for real- time BMS data ingestion, transformation, and enrichment. - Build and maintain Amazon Kinesis Data Streams infrastructure including shard management, auto-scaling policies, and dead-letter queues. - Implement comprehensive observability: CloudWatch/Grafana dashboards, distributed tracing, structured logging, and tiered alerting (P1/P2/P3) across the full pipeline. - Troubleshoot and resolve production issues across the ingestion-to-serving stack (Kinesis, Flink, DynamoDB, S3, Athena) - Develop and maintain Infrastructure-as-Code (CDK/CloudFormation) for all pipeline components, ensuring repeatable and auditable deployments. - Implement data quality monitoring including record count validation, schema drift detection, and null-rate anomaly detection across all sites. Job Qualifications The ideal candidate has strong software engineering fundamentals and a passion for building reliable, high-throughput distributed systems. They must be detail-oriented, comfortable operating in an on-call environment, and able to communicate effectively with both technical and non-technical stakeholders. Required: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent technical field. - Strong proficiency in Java (primary) with production-level experience building and deploying applications. - Hands-on experience with Apache Flink or equivalent stream-processing framework (Spark Streaming, Kafka Streams). - Experience with Amazon Kinesis Data Streams or similar distributed messaging/streaming platform. - Demonstrated experience building and operating systems with 99%+ uptime SLAs. - Solid understanding of distributed systems concepts: fault tolerance, exactly-once semantics, checkpointing, backpressure management. - Experience with AWS services: DynamoDB, S3, Athena, CloudWatch, IAM. - Proficiency with Infrastructure-as-Code (CDK, CloudFormation, or Terraform). Preferred: - Experience with MQTT, Haystack protocol, or Niagara N4 (building automation / IoT). - Familiarity with Apache Avro, AWS Glue Schema Registry, or similar schema management tools. - Experience with Grafana, CloudWatch Logs Insights, or distributed tracing frameworks. - Knowledge of chaos engineering practices and tools. - Prior experience with BMS (Building Management System) or IoT data pipelines. - Python proficiency for scripting, data analysis, and tooling. We offer*: - Flexible working format - remote, office-based or flexible - A competitive salary and good compensation package - Personalized career growth - Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) - Active tech communities with regular knowledge sharing - Education reimbursement - Memorable anniversary presents - Corporate events and team buildings - Other location-specific benefits *not applicable for freelancers