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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Manager, Engineering - Data Infrastructure & MLOps (Hybrid) - **Company:** CrowdStrike - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, Data Systems, Memory Management, Amazon DynamoDB, Apache Hadoop, Apache Hive, Java Virtual Machine (JVM), PostgreSQL, MySQL, Online Analytical Processing, NoSQL, Performance Tuning, Ansible, Standard Sql, Scala (Programming Language), Software Engineering, Data Streaming, Enterprise Software Applications, Real Time Systems, Apache Spark, Kotlin, Data Lakes, Kubernetes, Information Technology, Druid, Apache Flink, Deployment Automation, Cassandra, Bare Metal, Apache Kafka, Data Management, Presto, Puppet, Terraform - **Published:** September 18, 2026 - **Apply:** https://jobs.military.com/career/338925/sr-manager-engineering-data-infrastructure-mlops-hybrid-texas-tx-austin ## About the Role * MS in Computer Science or related field\n * 10+ years of software engineering experience in building and/or managing large scale data platforms\n * 5+ years of hands-on management experience leading distributed engineering teams\n * Experience building and supporting real time or NRT data systems of ultra high scale (MINIMUM: 100s of TB/day in either a current or past role)\n * Significant expertise in performance-tuning or developing internals (source code) within Spark, Flink, Iceberg or Pinot or an equivalent structured streaming, Time Series, OLAP or Open Table real time system.\n * Production experience building either Spark- or Flink-based self-service data platforms, or equivalent (i.e. with Ray, or building spark- or Flink-like frameworks themselves in Scala, Akk, etc.)\n * Strong familiarity with (and ample hands-on experience tuning & optimizing) at least one applicable technology in the Apache Hadoop ecosystem: Spark, Kafka, Hive/Iceberg/Delta Lake, Presto/Trino, Pinot, Druid, etc.\n * Ample experience coding in Java, Scala, Kotlin or another JVM language (bonus points for experience tuning the language, i.e. garbage collection, memory management...)\n * Production experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra/DynamoDB, etc.\n * Intimate knowledge of deployment tools like Terraform and configuration automation tools like Chef/Puppet/Ansible\n * Demonstrated track record of leadership and building a strong core engineering team\n * Building and managing cloud and on-premise Hadoop and Spark infrastructure which could run on bare metal or Kubernetes clusters\n * Strong cross-team collaboration and interpersonal skills working with various roles including engineering, product management, support and sales engineering\n * Demonstrated ability to attract and hire talent and grow the team rapidly\n * Experience working with remote teams and individuals while ensuring agility and code velocity\n * Ability to communicate and articulate crisply at all levels from executive staff to engineers\n * Broad general knowledge of the high-technology industry gained in larger enterprise software environments enhanced by ongoing awareness of R&D practices / technology advances\n * Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n ## Related Videos - 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