Cloud Manager

Role Overview

• Lead initial technical discovery efforts across legacy SAS systems.
• Partner with Cloud Architect and Technical SMEs to define target-state cloud-native architecture.
• Translate system-level modernization goals into actionable epics and initial product backlog.
• Identify migration sequencing strategy (refactor vs lift-and-shift).
• Establish MVP/Proof-of-Concept scope for initial modernization slice.
• Coordinate early governance artifacts (architecture reviews, EWG alignment).
• Establish and manage Agile Scrum or Kanban delivery framework.
• Build and maintain backlog aligned to modernization roadmap.
• Facilitate sprint planning, backlog refinement, and retrospectives.
• Ensure alignment between Product Owner (Federal) and technical team.
• Drive sprint-level execution across: Cloud Architecture, Cloud Engineering, Data Engineering, Application Development (Python), Testing (manual & automated), DevSecOps.
• Lead migration of on-prem SAS systems to AWS cloud-native architecture.
• Coordinate deployment of applications leveraging AWS services such as: Lambda, Fargate, Glue, Aurora/Postgres, S3, Batch, CloudWatch, Secrets Manager.
• Ensure Infrastructure-as-Code and CI/CD practices are implemented.
• Oversee containerization and serverless deployment strategies.
• Coordinate environment provisioning within EDL constraints.
• Ensure CI/CD pipelines are implemented and integrated with automated testing.
• Oversee regression validation between legacy SAS outputs and Python outputs.
• Integrate security scanning and vulnerability remediation into sprint cycles.
• Coordinate automated test framework implementation.
• Ensure quality gates are embedded in delivery lifecycle.
• Coordinate architecture documentation for: Enterprise Working Group (EWG), Architecture Review Board, Interface Control Documents (ICDs).
• Support Authority to Operate (ATO) readiness activities.
• Maintain alignment with Zero Trust, IUS, and Census security policies.
• Ensure traceability between requirements, backlog items, and delivered capabilities.
• Manage integration touchpoints across: Mojo, DICE, EDL, Tabulation, Processing systems, Downstream dissemination systems.
• Identify and mitigate cross-workstream risks.
• Plan modernization sequencing to avoid production disruption.
• Align delivery milestones with ACS operational cycles.
• Develop phased migration roadmap across multiple systems.
• Identify candidate systems for initial modernization.
• Prioritize low-risk, high-learning MVP slices.
• Manage parallel validation strategies where needed.
• Monitor risks associated with questionnaire changes and output comparability.

Requirements

• Minimum 8–10 years of experience leading technical modernization programs.
• Demonstrated experience deploying applications to AWS cloud environments.
• Experience leading serverless architecture implementations.
• Experience managing Infrastructure-as-Code and CI/CD pipelines.
• Experience in standing up Agile teams from inception.
• Experience building backlog and epics from discovery and architecture inputs.
• Experience managing cross-functional technical teams, including:
• Cloud Architects
• Cloud Engineers
• Data Engineers
• Application Developers
• Test Engineers
• DevSecOps Engineers
• Experience leading legacy-to-cloud modernization initiatives.
• Experience planning refactoring vs lift-and-shift strategies.
• Experience managing phased migration in high-governance federal environments.
• Experience coordinating statistical or data-intensive system modernization (preferred).
• Experience supporting architecture review boards.
• Experience working in FISMA/FedRAMP environments.
• Familiarity with ATO processes.
• Experience operating in politically sensitive, high-visibility programs.
• Ability to coordinate across multiple federal stakeholders and contractors.
• Experience with SAS to Python modernization.
• Experience with large-scale data processing systems.
• Experience in U.S. Census or statistical agencies.
• Experience working with Enterprise Data Lakes (EDL).
• Familiarity with GitLab or similar DevSecOps platforms.
• Technical credibility with engineers and architects.
• Ability to translate architecture into backlog.
• Strong risk identification and mitigation skills.
• Strong stakeholder communication skills.
• Ability to operate in ambiguity and define structure.
• Bias toward action while respecting governance controls.

Tech Stack

• AWS
• Cloud
• Postgres
• Python

Benefits

• 401(k) with matching and 100% Vested
• Health Insurance
• 3 plans to select from
• Dental insurance
• Vision Insurance
• Health savings account
• Life insurance
• Short Term Disability
• Long Term Disability
• AD&D
• Paid time off
• Professional development assistance
• Training
• Tuition reimbursement
• Flexible schedule
• Flexible spending account
• Referral program
• Paid Legal Plan
• and more....