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