About The Position
Synertex is seeking a Principal Software Engineer to support a mission-focused defense program delivering advanced data integration and analytics capabilities for chemical, biological, and emerging threat detection. This role is a hands-on technical leadership position responsible for architecting, building, and sustaining large-scale data platforms in classified environments. You will serve as the technical authority on the program-designing real-time and batch data processing systems, integrating machine learning capabilities, and delivering scalable solutions that transform high-volume sensor and intelligence data into actionable insights for mission stakeholders.
Requirements
- Minimum 10 years of software engineering experience, including at least 5 years in a lead or architect-level role
- Proven, hands-on experience designing and operating big data systems in production using technologies such as Kafka, Spark, Hadoop (HDFS), HBase, Hive, NiFi, Kudu, Impala, or equivalent
- Experience with real-time data streaming and event-driven architectures (e.g., Kafka Streams, Spark Streaming, KSQL)
- Working knowledge of machine learning frameworks (e.g., Spark MLlib, scikit-learn, TensorFlow) with applied experience solving real-world data problems
- Strong proficiency in Java (additional languages such as Python, Scala, or Ruby are a plus)
- Experience with CI/CD pipelines, DevOps, and build automation (e.g., Jenkins, Maven, Git, Docker)
- Experience operating in classified environments (e.g., SIPRNet, JWICS, or equivalent)
- Ability to lead technical execution while remaining hands-on in development and architecture
- Active TS/SCI clearance with polygraph required
Nice To Haves
- Experience with graph analytics (e.g., Spark GraphX, Neo4j)
- Background supporting CBRN or defense threat detection systems
- Experience with cloud platforms (AWS GovCloud, Azure Government) and containerized environments
- Full-stack development experience (APIs, front-end interfaces)
- Mobile application development experience
Responsibilities
- Design, build, and maintain big data pipelines for ingesting, processing, and analyzing high-volume data across multiple sources in real-time and batch modes
- Lead architecture and implementation of distributed data processing systems (e.g., Kafka, Spark, Hadoop, NiFi)
- Develop and integrate machine learning models for classification, anomaly detection, and predictive analytics
- Build and maintain data storage solutions across relational, NoSQL, and columnar databases (e.g., HBase, Hive, Kudu, Impala)
- Deploy and manage applications in classified environments with strict security and compliance requirements
- Serve as the technical lead-setting engineering direction, conducting code reviews, mentoring team members, and making architecture decisions
- Interface directly with government stakeholders to translate mission requirements into technical solutions
- Troubleshoot production systems, optimize performance, and ensure reliability, scalability, and availability
Benefits
- Competitive compensation aligned to experience
- 401(k) with 6% company match
- Comprehensive medical, dental, and vision coverage
- Paid Time Off and 11 paid federal holidays
- Employee profit sharing program
- Opportunity to work on mission-critical systems supporting national security
- Collaborative, AI-first engineering culture focused on innovation and delivery
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
Number of Employees
11-50 employees
