{"id":2085808,"url":"https://alion.io/job/saic-senior-software-engineer-expeditionary-systems-opai","title":"Senior Software Engineer Expeditionary Systems (OpAI)","company":{"id":58788,"name":"SAIC","domain":"saic.com","url":"https://alion.io/company/saic","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":60,"ghost_share":0,"stale_share":0.917,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-22T06:10:10Z"}},"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":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":141000,"max_usd":260000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3441},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"React.js","optional":false},{"name":"Rust","optional":false},{"name":"Zenoh","optional":false},{"name":"ZeroMQ","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"C","optional":true},{"name":"dbt","optional":true},{"name":"ElasticSearch","optional":true},{"name":"PostGIS","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-08-12T17:28:01Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-22T21:16:37Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"SAIC is seeking a highly experienced and motivatedSenior Software Engineer to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The successful candidate will play a key role in enhancing the capabilities of expeditionary systems 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 Zenoh data mesh in Rust, creating frontend React applications in JavaScript, working with AI engineers to integrate machine learning models, converting data between standard tactical message formats, or providing subject matter expertise in discussions with senior management.\nLocations willing to consider future candidate:\nThis roles is 100% ON-SITE, must be nearby one of the following locations but if San Diego, CA is not your primary location you will be required to travel to San Diego, CA for at least 5 weeks a year for team meetings and administrative tasks.\nSan Diego, CA\nArlington, VA\nColorado Springs, CO\nCharleston, SC\nDenver, CO\nJOB DUTIES:\nCollaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems. \nDesign, develop, and implement software for tactical applications \nTest software at field experiments to ensure performant and high-quality data flow between tactical systems, including sensors, UxS, and C2 \nCollaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems. \nCollaborate with data engineers to monitor data pipelines and analytics to ensure accuracy, reliability, and robustness. \nStay updated with the latest advancements in data architecture to propose and implement innovative solutions. \nWork closely with systems engineers to connect data pipelines with operational systems \nProvide technical expertise and contribute to the development of long-term technology strategies within the Department of the Navy. \n REQUIREMENTS:\nBachelors in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics and nine (9) years or more experience. Years of experience in lieu of degree to be taken into consideration.\nMust be a U.S. Citizen.\nMust have an Active Secret Clearance to start.\nMust be able to obtain a TS/SCI clearance after start.\nAt least 9 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. \nFamiliarity with containerization technologies (e.g., Docker, Kubernetes). \nExpert programming skills in Python. \nIntermediate programming skills in Rust or Go. \nExperience designing or normalizing tactical data to common standards. \nExperience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC. \nFamiliarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh.\nExperience with troubleshooting tactical systems. \nExperience deploying, monitoring, and improving tactical data pipelines. \nStrong problem-solving and analytical skills. \nPassion for staying updated with the latest advancements in tactical data architecture. \nExcellent communication skills and the ability to work effectively in a collaborative team environment. \nDESIRED SKILLS:\nExperience integrating systems with Tactical Assault Kit (TAK) ecosystem. \nFamiliarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake. \nExperience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS. \nExpertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores. \nUnderstanding of cybersecurity principles in the context of tactical applications. \nPrevious experience working with government agencies or military organizations. \nMaster of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or 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