Technology & Software Openings

You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy,

Strong hands-on experience with data pipeline or data warehouse engineering: schema design, ETL/ELT patterns, normalization, and API-based data distribution. Ability to critically evaluate AI-generated code and outputs, including identifying failure modes, regressions, and edge cases. Background in

Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Ruby, hands-on experience with Ruby testing fram

Experience implementing monitoring and observability for RAG and AI components, including latency, success rate, cache hit rate, retrieval quality, and data drift. The Semantic Data and AI Engineer will be part of a team working on innovative projects and developing orchestrated data solutions to in

Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles. Knowledge of different database architectures, including but not limited to relational and NoSQL

Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Maintain high standards around data integrity and what we’re leveraging in our data platform. Our all-in-one suite of ticketing, mobile apps, e

Partner closely with Engineering and Product to define acceptance criteria and quality gates. Own and organize all test case management, reporting, and traceability within Qase. You will define quality standards, build scalable testing processes, and lead a team of QA engineers — while remaining d

Work with the Government IT representatives and GISA Cybersecurity team to assist, identify, and provide information regarding resolving vulnerabilities, and computer incidents and produce a trend analysis report outlining results of monthly monitoring activities. Establish and continuously maintain

Integrate AI/ML capabilities into software and data workflows (e. Ensure data quality, performance, and lineage across structured and semi-structured data. Ensure AI solutions are observable, explainable, and suitable for enterprise and regulated environments.

The successful candidate would possess these skills Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead pro