Job description

At PMAT, we work on mission critical systems that directly support the warfighter, designing, building, and securing modern digital capabilities across cloud, data, and software environments. Our teams tackle complex, real-world challenges where delivery matters more than theory, and innovation is driven by curiosity, collaboration, and purpose. In this role, you’ll contribute to mission-focused technology initiatives, working alongside engineers and technical teams to deliver resilient, forward-leaning solutions in support of national defense. About the role: PMAT is seeking a highly experienced and motivated Senior Software Engineer to contribute to the integration of AI capabilities into distributed software and data systems. The successful candidate will play a key role in enhancing software and data capabilities through innovative and cutting-edge technologies. Daily tasks can vary from hands on keyboard to technical discussions, including but not limited to, maintaining real-time data infrastructure in Rust, creating frontend React applications in JavaScript, working with AI engineers to integrate machine learning models, transforming data between standardized formats, or providing subject matter expertise in discussions with senior management. Responsibilities: Collaborate with cross-functional teams to understand and address complex technical challenges integrating artificial intelligence into distributed software systems. Design, develop, and implement software applications and data services. Test software in development and operational environments to ensure performant and high-quality data flow between systems. Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems. Collaborate with data engineers to monitor data pipelines and analytics to ensure accuracy, reliability, and robustness. Stay updated with the latest advancements in data architecture to propose and implement innovative solutions. Work closely with systems engineers to connect data pipelines with software applications and operational systems. Provide technical expertise and contribute to the development of long-term technology strategies within government and defense environments. About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether you’re an experienced engineer or just beginning your career, you’ll work alongside experts who are committed to solving mission-critical problems. If you’re passionate about using your skills to make a real difference, apply today and become part of a team that’s shaping the future of defense technology! Required Skills and Experience: At least 10 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine learning engineer, software engineer, or system administrator. Familiarity with containerization technologies (e.g., Docker, Kubernetes). Expert programming skills in Python Intermediate programming skills in Rust or Go Experience designing or normalizing data to common standards Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC. Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh. Experience troubleshooting complex software and data systems Experience deploying, monitoring, and improving data pipelines Strong problem-solving and analytical skills. Passion for staying updated with the latest advancements in data architecture. Excellent communication skills and the ability to work effectively in a collaborative team environment. Preferred Skills and Experience: Experience integrating software systems with geospatial or location-aware applications. Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake. Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS. Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores. Understanding of cybersecurity principles in the context of mission-critical applications. Previous experience working with government agencies or military organizations. Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics Education and Certification Requirements: Bachelor’s Degree or Equivalent Experience Citizenship and Clearance requirements: U.S. Citizenship required No dual citizenship TS/SCI eligible; Active security clearance required Location/Address: 100% On-site San Diego, CA Arlington, VA Colorado Springs, CO Charleston, SC Denver, CO Note: If San Diego is not your primary duty station, then you will be required to travel to San Diego for at least 5 weeks a year for team meetings and administrative tasks. Travel & Passport: 10%, CONUS and OCONUS Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

Requirements

Must-haves

In this role, you’ll contribute to mission-focused technology initiatives, working alongside engineers and technical teams to deliver resilient, forward-leaning solutions in support of national defense.
Collaborate with cross-functional teams to understand and address complex technical challenges integrating artificial intelligence into distributed software systems.
Design, develop, and implement software applications and data services.
Test software in development and operational environments to ensure performant and high-quality data flow between systems.
Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems.
Collaborate with data engineers to monitor data pipelines and analytics to ensure accuracy, reliability, and robustness.
Stay updated with the latest advancements in data architecture to propose and implement innovative solutions.
Work closely with systems engineers to connect data pipelines with software applications and operational systems.
Provide technical expertise and contribute to the development of long-term technology strategies within government and defense environments.
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Expert programming skills in Python
Intermediate programming skills in Rust or Go
Experience designing or normalizing data to common standards
Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC.
Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh.
Experience troubleshooting complex software and data systems
Experience deploying, monitoring, and improving data pipelines
Strong problem-solving and analytical skills.
Passion for staying updated with the latest advancements in data architecture.
Excellent communication skills and the ability to work effectively in a collaborative team environment.
Experience integrating software systems with geospatial or location-aware applications.
Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake.
Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS.
Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

airustreactjavascriptmachine learningdockerkubernetespythongoaws

Platform: bamboohr
Effort: medium