Jobs at PhoenixTeam

Owns product strategy, roadmap, backlog, requirements, pilots, launches, adoption, and measurement for Salesforce Agentforce and Data Cloud/Data 360. Partners with business, architecture, data, engineering, security, privacy, legal, and operations teams to define trusted data, AI-agent functionality, governance, evaluation criteria, and measurable business outcomes. Leads prioritization, release planning, testing, launch readiness, and continuous improvement for enterprise AI and CRM platform capabilities.

Leads solution-focused discovery and translates business requirements into technical solution designs spanning data, integrations, automation, APIs, low-code, and AI. Maintains traceability across requirements, prototypes, testing, and user acceptance; evaluates feasibility, scalability, security, accessibility, and operational fit. Produces solution diagrams, data flows, integration requirements, validation rules, and implementation guidance while collaborating with business and technical stakeholders on a federal modernization program.

Supports Department of the Interior modernization by analyzing workflows and technology solutions, using AI tools for discovery and documentation, creating SOPs and training materials, assisting with prototyping and testing, collecting user feedback, and enabling adoption. The role also maintains traceability, version control, accessibility compliance, and alignment between delivered solutions and user-facing materials.

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.

Supports Department of the Interior modernization by analyzing current-state workflows, identifying bottlenecks and root causes, and designing improved future-state processes. Uses Python and SQL to analyze process data, develops SOPs, workflow diagrams, RACI matrices, and job aids, and identifies automation and AI opportunities. Supports pilot testing, documents findings, and ensures redesigned processes align with policies, controls, accessibility needs, and federal requirements.

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.

Leads business and systems analysis for a federal modernization program. Responsibilities include stakeholder discovery, process analysis, requirements definition, data investigation using Python and SQL, workflow and integration analysis, user stories, acceptance criteria, documentation, and user acceptance testing. The role partners closely with federal sponsors and technical delivery teams to translate current-state operations into future-state software, automation, data, or AI-enabled solutions.

Leads acquisition modernization analysis for a federal Department of the Interior program. Responsibilities include discovery, requirements definition, process mapping, workflow redesign, stakeholder workshops, data analysis using Python and SQL, user stories, solution validation, and identifying automation, AI, low-code, and digital-form opportunities. Guides junior analysts and coordinates with design and engineering teams while remaining hands-on through testing, user acceptance, documentation, and implementation guidance.

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.

Develop and maintain Java applications and Salesforce configurations within an agile full-stack team supporting a federal housing program. Collaborate across backend, database, and Salesforce layers; test and troubleshoot changes; participate in sprint planning, peer reviews, and Git-based development; and document code and configuration updates. The role requires hands-on Java and Salesforce experience and eligibility for a Public Trust background investigation.

Develop and maintain Java applications, configure and develop Salesforce solutions, and collaborate across AWS, database, and application layers. Participate in agile sprint planning, testing, troubleshooting, Git-based peer reviews, and technical documentation. The role supports a federal FHA program in a fully remote environment and requires eligibility for a Public Trust background investigation.

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.