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N-iX est une société de développement logiciel qui accompagne de grandes organisations avec des technologies avancées.

Détails de l’offre

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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. 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

Prérequis

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent technical field
  • Strong proficiency in Java
  • Hands-on experience with Apache Flink or an equivalent stream-processing framework
  • Experience with Amazon Kinesis Data Streams or a similar distributed messaging or streaming platform
  • Experience building and operating systems with 99%+ uptime SLAs
  • Understanding of distributed systems concepts
  • Experience with AWS services including DynamoDB, S3, Athena, CloudWatch, and IAM
  • Proficiency with Infrastructure-as-Code tools such as CDK, CloudFormation, or Terraform
  • Experience with MQTT, Haystack protocol, or Niagara N4
  • Familiarity with Apache Avro, AWS Glue Schema Registry, or similar tools
  • Experience with Grafana, CloudWatch Logs Insights, or distributed tracing frameworks
  • Knowledge of chaos engineering practices and tools

Avantages mentionnés

  • Flexible working format: remote, office-based, or flexible
  • Competitive salary and compensation package
  • Personalized career growth
  • Professional development tools, including mentorship, tech talks, trainings, and centers of excellence
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Anniversary presents
  • Corporate events and team buildings
  • Location-specific benefits

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