Description
Overview BigBear.ai is seeking a Software Engineer to assist with building a Platform as a Service offering that provides an analytic and development platform that runs on Kubernetes. The system allows users to install and use approved applications, access data sources, and perform custom data analysis in a compliant way. This position will support our Intelligence Division. This position allows for remote work up to 50%, mission dependant. What you will do Candidate will research, implement and mentor the team on cloud native technologies in Kubernetes for building, monitoring and scaling the system; build micro-services implementing system business logic. What you need to have Clearance: Must possess and maintain TS with polygraph Seven (7) years experience as a SWE, in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Experience with: Python programming Docker and Kubernetes Strong familiarity with Linux What we'd like you to have The ideal candidate is expected to become familiar with the following technologies within the first six (6) months: Rancher or other Kubernetes management tools Ansible Helm Git CI/CD pipelines MongoDB Prometheus Elastic stack About BigBear.ai A leader in decision dominance for more than 20 years, BigBear.ai operationalizes artificial intelligence and machine learning at scale through its end-to-end data analytics platform. The Company uses its proprietary AI/ML technology to support its customers' decision-making processes and deliver practical solutions that work in complex, realistic and imperfect data environments. BigBear.ai's composable AI-powered platform solutions work together as often as they stand alone: Observe (data ingestion and conflation), Orient (composable machine learning at scale), and Dominate (visual anticipatory intelligence and optimization). BigBear.ai's customers, which include the U.S. Intelligence Community, Department of Defense, the U.S. Federal Government, as well as customers in the commercial sector, rely on BigBear.ai's high value software products and technology to analyze information, identify and manage risk, and support mission critical decision making. Headquartered in Columbia, Maryland, BigBear.ai has additional locations in Virginia, Massachusetts, Michigan, and California. BigBear.ai will request COVID-19 vaccination status information as part of the onboarding process.

Qualifications
Clearance: Must possess and maintain TS with polygraph Seven (7) years experience as a SWE, in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Experience with: Python programming Docker and Kubernetes Strong familiarity with Linux

Responsibilities
Candidate will research, implement and mentor the team on cloud native technologies in Kubernetes for building, monitoring and scaling the system; build micro-services implementing system business logic.