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Senior Software Development Engineer (Amazon)

5900 - 7300 USD/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·KrakówFull-time·B2B

#471316·Dodano 16 dni temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

JavaApache FlinkDynamo DB3s3 Athena CloudWatchIAM

Podsumowanie oferty

The EBMS Real-Time Data Platform team builds and maintains a real-time pipeline that ingests telemetry from global building management systems. The role develops stream-processing applications using Java, Apache Flink, and Amazon Kinesis.

Wymagania

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or an equivalent technical field.
Strong proficiency in Java, with production-level experience building and deploying applications.
Hands-on experience with Apache Flink or an equivalent stream-processing framework such as Spark Streaming or Kafka Streams.
Experience with Amazon Kinesis Data Streams or a similar distributed messaging or streaming platform.
Experience building and operating systems with 99%+ uptime SLAs.
Solid understanding of distributed systems concepts, including fault tolerance, exactly-once semantics, checkpointing, and backpressure management.
Experience with AWS services: DynamoDB, S3, Athena, CloudWatch, and IAM.
Proficiency with Infrastructure-as-Code using CDK, CloudFormation, or Terraform.

Nice to have:

Experience with MQTT, Haystack protocol, or Niagara N4.
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 or IoT data pipelines.
Python proficiency for scripting, data analysis, and tooling.

Obowiązki

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 pipeline observability with CloudWatch and Grafana dashboards, distributed tracing, structured logging, and tiered alerting.
Troubleshoot and resolve production issues across the ingestion-to-serving stack: Kinesis, Flink, DynamoDB, S3, and Athena.
Develop and maintain Infrastructure-as-Code using CDK or CloudFormation for pipeline components.
Implement data quality monitoring, including record count validation, schema drift detection, and null-rate anomaly detection.

Inne informacje

The role involves operating in an on-call environment.

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