Systems Engineer

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI / ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. We are repeatedly recognized as a top place to work and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success. Credence is seeking a System Engineer to support DLA’s PIEE Program Management Office and ensure that IT operations run smoothly on a day-to-day basis Responsibilities : Lead evaluation and assessment of emerging AI / ML technologies and cloud-based platforms (AWS) Develop technology strategy and roadmaps for AI / ML tool integration and deployment Coordinate with cross-functional teams (Cyber, Operations, Development) on technology requirements and implementations Manage security, compliance, and authorization (Risk Management Framework (RMF) to include Authority to Operate (ATO)) processes for new technology deployments Conduct research and proof-of-concept (PoC) testing for emerging technologies and platforms Prepare technical documentation, whitepapers, and briefings for executive leadership Collaborate on cloud infrastructure planning and optimization (AWS Bedrock, OpenSearch, Postgres, etc.) Support program-level planning and strategic alignment with stakeholder objectives Evaluate vendor solutions and third-party tools for integration with government systems Maintain technical documentation and configuration standards for approved technologies Support Agile teams in adoption of new tools and technologies Brief leadership on technology initiatives, roadmaps, and strategic recommendations Requirements Must posses a NACLC level clearance at a minimum Bachelor’s Degree in Computer Science, IT or related field 3+ years of hands-on systems engineering experience with cloud platforms (AWS, Azure, GCP) Demonstrated experience evaluating and implementing AI / ML technologies and tools Working knowledge of cloud infrastructure, containerization, and DevSecOps practice Experience with government security, compliance, and ATO processes (IT-II, Secret clearance environments) Strong technical writing and ability to prepare documentation, whitepapers, and executive briefings Excellent communication and stakeholder management skills with ability to translate technical concepts for non-technical audience Ability to work effectively with technical and non-technical stakeholders Cloud platform certifications (AWS, Azure, or GCP) preferred; security or AI / ML certifications a plus