{"id":4081590,"url":"https://alion.io/job/n-ix-senior-software-development-engineer-amazon-3","title":"Senior Software Development Engineer (Amazon)","company":{"id":13248,"name":"N-iX","domain":"n-ix.com","url":"https://alion.io/company/n-ix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":17,"ghost_share":0,"stale_share":0.471,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Chaos Engineering","optional":false},{"name":"CloudFormation","optional":false},{"name":"DynamoDB","optional":false},{"name":"Flink","optional":false},{"name":"Grafana","optional":false},{"name":"Haystack","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"MQTT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-11T15:07:48Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T17:30:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\nOur 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.\nPrimary Responsibilities\nDesign, develop, and optimize Apache Flink stream-processing applications for real- time BMS data ingestion, transformation, and enrichment.\nBuild and maintain Amazon Kinesis Data Streams infrastructure including shard management, auto-scaling policies, and dead-letter queues.\nImplement comprehensive observability: CloudWatch/Grafana dashboards, distributed tracing, structured logging, and tiered alerting (P1/P2/P3) across the full pipeline.\nTroubleshoot and resolve production issues across the ingestion-to-serving stack (Kinesis, Flink, DynamoDB, S3, Athena)\nDevelop and maintain Infrastructure-as-Code (CDK/CloudFormation) for all pipeline components, ensuring repeatable and auditable deployments.\nImplement data quality monitoring including record count validation, schema drift detection, and null-rate anomaly detection across all sites.\nJob Qualifications\nThe 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.\nRequired:\nBachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent technical field.\nStrong proficiency in Java (primary) with production-level experience building and deploying applications.\nHands-on experience with Apache Flink or equivalent stream-processing framework (Spark Streaming, Kafka Streams).\nExperience with Amazon Kinesis Data Streams or similar distributedmessaging/streaming platform.\nDemonstrated experience building and operating systems with 99%+ uptime SLAs.\nSolid understanding of distributed systems concepts: fault tolerance, exactly-once semantics, checkpointing, backpressure management.\nExperience with AWS services: DynamoDB, S3, Athena, CloudWatch, IAM.\nProficiency with Infrastructure-as-Code (CDK, CloudFormation, or Terraform).\nPreferred:\nExperience with MQTT, Haystack protocol, or Niagara N4 (building automation / IoT).\nFamiliarity with Apache Avro, AWS Glue Schema Registry, or similar schema management tools.\nExperience with Grafana, CloudWatch Logs Insights, or distributed tracing frameworks.\nKnowledge of chaos engineering practices and tools.\nPrior experience with BMS (Building Management System) or IoT data pipelines.\nPython proficiency for scripting, data analysis, and tooling.\nWe offer*:\nFlexible working format - 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