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.