• Build the Analytics Platform (Greenfield): Design and build our first analytical data platform on GCP (warehouse, ingestion, transformation, and orchestration). • Construct Data Pipelines: Build reliable ELT/CDC pipelines from production Postgres and .NET/C# services using GCP-native tooling (Datastream, Dataflow, Pub/Sub) and dbt for transformation. • Establish Orchestration & CI/CD: Set up workflows using Cloud Composer/Airflow or Dagster, alongside data CI/CD environments and automated testing. • Model Data for AI & Analytics: Create dimensional models and a documented semantic/metrics layer to serve dashboards, data analysts, and internal Claude agents with unified definitions. • Develop the AI Data Layer: Build and maintain the retrieval substrate, embeddings pipelines, and vector storage (RAG data plumbing) to keep internal and external agents grounded in fresh data. • Own Governance & Compliance: Implement data validation, lineage, observability, and PII controls appropriate for sensitive financial, donor, payments, and cross-border tax data. • Collaborate Across Teams: Partner with the AI Systems Engineer and the .NET backend team to instrument product events and ship customer-facing insights.

• Design, build and maintain platform infrastructure using Infrastructure as Code (IaC) principles with tools such as Terraform. • Develop memory services, vector storage patterns, and semantic search capabilities. • Design secure access patterns for agents to governed enterprise data, including Databricks, and integrate guardrails for allowed tools and data sources. • Operate and evolve a Kubernetes-based platform for the Data & AI department, enabling deployment, management, and scaling of services following GitOps practices. • Build observability capabilities covering agent execution, performance, reliability, cost signals, and operational health. • Collaborate closely with other engineering, DevOps/MLOps, SRE, security, and product teams to define platform standards and improve developer self-service. • Participate in architecture discussions, propose improvements, and drive adoption of platform engineering best practices. • Stay current with emerging technologies in the cloud-native, AI platform, and agentic AI ecosystem to continuously improve the platform.

• Responsible for the configuration, development, and optimization of the Collibra platform • Configure and maintain the Collibra platform, including asset types, domains, communities, and relationships • Embed the enterprise data governance operating model into Collibra • Translate governance and data management processes into platform capabilities • Integrate Collibra with enterprise systems and data platforms • Deliver platform enhancements through Agile sprints

Role Description We are seeking a highly motivated Principal Platform Engineer in Moorestown, NJ. As a Principal Platform Engineer, you will evolve secure, automated platforms powering an upstream Kubernetes-based virtual development environment that enables teams to deliver software using industry best practices. Solutions must deploy across air-gapped on-prem, secure private networks, commercial cloud, and regulated cloud environments using portable, repeatable, self-hosted automation (no SaaS). - Engineer and sustain upstream (vanilla) Kubernetes environments that enable reliable, repeatable software delivery environments. - Python scripting and Helm-based Kubernetes packaging to automate platform workflows and deployments. - Engineer secure-by-default Kubernetes platform capabilities, embedding security controls into automation, delivery workflows, and operational practices. - Translate platform capabilities into repeatable PaaS services that accelerate internal delivery and enable customer-targeted outcomes. - Operate container runtimes (Docker/Podman) and containerization to support CI/CD execution and cloud-native tooling deployments. - Develop secure end-to-end CI/CD pipelines and provide organization-wide CI/CD tooling expertise, guidance, and support. - Implement Kubernetes observability (logs, metrics, traces) and embed it into GitOps-driven automation to validate deployments, detect regressions, and accelerate incident response. - Partner with development and infrastructure teams to automate deployments and release validation, applying best practices in delivery, testing, security, performance, and disaster recovery. - Evaluate and adopt cloud-native OSS/COTS tools to meet platform needs, enable teams through knowledge transfer, and integrate new capabilities into standard workflows. Qualifications - Bachelor’s degree or higher (in Engineering, Computer Science, Math, Physics, or related field) or equivalent related work experience. - This position requires the ability to obtain and maintain a government secret clearance; U.S. Citizenship is required. - This position requires the successful applicant to obtain and maintain the required security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s). - Minimum of 8 years of professional experience in Sr DevOps, Platform Development, Sr Software Engineering or Sr Systems Administration in both on-prem, air-gapped and cloud-based environments. - Understanding of core web technologies, including HTTPS, TLS/SSL, HTML, CSS, JavaScript, JSON, and common delivery components. - Experience with automation or development in C++, Rust or equivalent. Requirements - Competitive pay and benefits packages. - Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. - The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. - Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary. EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.