Jobs at PhoenixTeam

Automates, hardens, deploys, and upgrades Windows Server infrastructure in AWS GovCloud. Builds hardened AMIs, provisions EC2 instances, automates patching and compliance, manages phased upgrades and rollback, integrates infrastructure automation with CI/CD, and documents configurations and runbooks. Requires strong PowerShell, Windows administration, AWS, infrastructure-as-code, and DevSecOps experience, plus eligibility for Public Trust clearance.

Lead DevSecOps and platform engineering for a federal modernization program spanning legacy and modern systems. Own CI/CD, zero-downtime releases, infrastructure as code, security automation, observability, reliability, disaster recovery, and legacy-to-modern transition efforts. Lead and mentor engineers while remaining hands-on with architecture, coding, incident response, and code review. Build AI-enabled engineering workflows within federal security boundaries and partner directly with customers to improve delivery speed, security, and operational performance.

Leads product strategy for modernizing and decommissioning a federal loan servicing platform. Directs requirements, solutioning, data, AI prototyping, roadmaps, implementation options, and executive decision support. Aligns stakeholders, oversees cross-functional teams, manages risks and dependencies, and ensures compliance with enterprise architecture, DevSecOps, data, and documentation standards.

Supports modernization of a federal loan servicing platform through current-state analysis, stakeholder interviews, process mapping, requirements elicitation, capability and gap assessments, integration and data-flow mapping, and legacy function disposition analysis. Creates user stories, business rules, process flows, wireframes, and client deliverables in Jira and Confluence. Contributes to AI-assisted analysis, prototyping, automation opportunities, and evaluation of migration and decommissioning alternatives.

Lead design, implementation, and maintenance of system architectures across applications, infrastructure, and cloud platforms for federal IT modernization. Provide technical leadership, ensure performance, reliability, and integration, produce documentation, and collaborate with DevOps, security, and stakeholders within Agile teams.

Lead client engagements applying generative AI to business workflows, especially in regulated mortgage environments. Responsibilities include scoping use cases, building prototypes and proofs of concept, facilitating discovery sessions and learning labs, developing prompts and reusable solution artifacts, creating enablement materials, advising stakeholders on AI adoption, and collaborating with compliance and technical teams to scale successful experiments.

Supports a federal IT modernization initiative by gathering and documenting requirements, mapping current- and future-state workflows, developing user stories and acceptance criteria, analyzing dependencies and risks, and coordinating with business, product, engineering, and data stakeholders. The role maintains traceability and documentation, supports change management and impact analysis, validates technology alignment, and communicates project status, risks, and issues to leadership.

Designs and integrates AI-enabled modernization solutions while establishing quality assurance frameworks for AI-generated code, skills, agents, and prototypes. Develops test plans, acceptance criteria, regression suites, automated testing, security scans, and quality gates. Collaborates with DevOps teams on reliable multi-agent workflows, validates prototypes for production readiness, and monitors accuracy, security, compliance, and data-sensitivity risks.

Creates and maintains requirements, solution design, operating model, and architecture documentation for technical programs. Translates complex technical decisions and diagrams into clear materials for technical and non-technical audiences. Updates architecture diagrams, manages documentation version control, ensures Section 508 accessibility, and collaborates with architects, DevSecOps, cybersecurity, database, federal client, and delivery teams. The role requires technical writing samples, diagram-based work samples, and eligibility for a Public Trust clearance.

Own product strategy and backlog modernization for the VA Loan Guaranty technology portfolio. Translate policy and stakeholder needs into prioritized roadmaps, precise user stories, acceptance criteria, and executable plans. Coordinate releases, UAT, analytics, legacy decommissioning, and configuration-versus-customization decisions across VA, lenders, servicers, architecture, and engineering. Apply AI tools to policy analysis, requirements drafting, and feedback synthesis while respecting federal security and privacy boundaries.

Lead multiple cross-functional engineering teams delivering monthly releases across Salesforce-centered modern platforms and legacy systems. Own delivery commitments, engineering standards, test automation, defect prevention, release quality, documentation, and federal compliance. Develop AI-native engineering practices, manage customer communication, flex team structures, and hire and grow technical leaders. The role requires maintaining zero escaped critical defects, high pre-UAT defect detection, rapid critical bug resolution, and stable modernization alongside legacy sustainment.

Design, build, and deploy a secure, high-volume integration across Salesforce, S-Docs, AWS, and VA Notify. Assess architecture for scalability, security, and compliance; implement serverless AWS components; develop Salesforce integrations and templates; integrate automated security scanning into CI/CD; document designs and support ATO/RMF compliance and testing.

Execute manual test cases, scenarios, and plans to validate functional, integration, regression, and UAT. Track and verify defects using issue trackers, collaborate with developers and stakeholders, maintain test documentation, and support process improvement to ensure usability and business requirements in regulated environments.