Data engineering and cloud infrastructure for intelligence and federal agencies
ClearEdge is an engineering services firm built around federal and intelligence-community clients, with a tech stack centered on container orchestration (Kubernetes, Docker, Podman), data processing (PySpark, Apache NiFi, Pig, Scala), and cloud infrastructure (AWS, VMware, Cisco). Active adoption of Kubernetes and containerization, paired with projects around service containerization and DevOps automation, signals a shift toward cloud-native deployment models. The hiring profile is heavily senior-skewed (40 of 67 active roles at senior level or above), reflecting demand for experienced engineers who can navigate complex compliance and performance optimization.
ClearEdge provides software engineering, data analytics, and cloud infrastructure services to federal and intelligence-community clients. Founded in 2002 and headquartered in Jessup, MD, the company operates as a specialized services provider focused on big data platforms, systems engineering, and full-stack application development. The active project list reflects work on containerization, visualization pipelines, compliance-driven infrastructure modernization, and DevOps automation. Pain points cluster around system re-architecture, compliance complexity, and manual process replacement—typical friction points in legacy federal IT environments moving toward modern cloud platforms.
Linux, Windows, Kubernetes, Docker, AWS, Python, PySpark, Apache NiFi, PostgreSQL, MongoDB, MariaDB, VMware, Ansible, and Cisco. Currently adopting Podman, Kubernetes, and Apache Spark.
Jessup, Maryland. The company was founded in 2002 and employs 51–200 people.
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