Data engineering and enterprise infrastructure modernization for regulated industries
Cliff Services is a mid-sized IT services firm anchored in data engineering (Python, PySpark, Spark, Airflow on AWS) and enterprise network architecture. The stack reveals a dual focus: cloud-native data pipelines (Redshift, Snowflake, Kinesis, Athena) paired with infrastructure modernization (Cisco, Kubernetes, ECS). Active hiring is engineering and data-heavy (24 of 32 roles in the last month), with seniority skewed toward senior and lead levels—typical of services firms scaling delivery capacity. Projects span data modernization, ML infrastructure governance, and legacy Cisco replacement, while pain points cluster around ML model governance, network migration, and cost efficiency at scale.
Notable leadership hires: Test Lead
Cliff Services Inc, founded in 2008 and based in Herndon, Virginia, is a privately held IT services and consulting firm operating across the United States, India, UK, Canada, and Australia. The company serves mid-market and enterprise customers in regulated sectors (healthcare, finance noted in hiring). Core service lines include data engineering and cloud infrastructure (AWS), enterprise networking (Cisco), AI/ML platform governance, Salesforce and SAP implementation, and IT staffing. The technical footprint emphasizes AWS-native data platforms, containerized ML workloads, and network modernization—reflecting a shift away from legacy on-premises infrastructure toward cloud and Kubernetes-based architectures.
Primary stack: Python, PySpark, AWS (Glue, EMR, Lambda, Redshift, Athena), Snowflake, Airflow, Kafka, Kubernetes, Docker, Terraform, Jenkins. Adopting Cisco SD-Access, Epic Systems, Nutanix. Replacing legacy Cisco platforms (Catalyst 9000, ISE, ASA).
Enterprise data modernization, cloud migration (EKS for ML workloads), Cisco SD-Access network deployment, SAP implementation, ML model lifecycle governance and monitoring, secure AWS integration patterns, and legacy Cisco platform retirement.
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