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Senior Software Development Engineer (Amazon) (#6001)

N-iXPoland
Work model
Office
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
10 tags

Technology context

10

Parsed from the vacancy text; ordered by relevance to this role.

AWSDistributed SystemsJavaPythonKafkaScalabilitySparkTerraformAutomationGrafana

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Role description

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 distributedmessaging/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.