Systems Engineer – Solution Architect

CACI International Inc

. Provide expert-level technical leadership across FEMA's technology portfolio assessment .

Posted 9/23/2026full-timeUnited StatesSeniorLead💰 $114,600 - $252,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in enterprise systems engineering and solution architecture, with a strong focus on cloud migration, data architecture, and cybersecurity compliance. Proven ability to assess complex IT portfolios and develop actionable modernization strategies within federal frameworks.

Highest-signal resume keywords

Enterprise Systems EngineeringSolution ArchitectureCloud Migration PatternsData ArchitectureCybersecurity Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Integration ArchitectureAPI DesignData GovernanceCloud-Native ArchitectureTechnical Debt AssessmentContainerization ReadinessMicroservices ArchitectureData StandardizationRPA ImplementationPredictive Analytics

Soft Skills

Analytical SkillsClear CommunicationActionable Recommendations

Tools & Technologies

AWSAzureDockerKubernetesDevSecOpsCI/CD PipelinesInfrastructure as Code

Certifications & Qualifications

TOGAFZachmanAWS Solutions Architect ProfessionalAzure Solutions Architect Expert

Industry Keywords

FISMANIST SP 800-53DHS PoliciesFedRAMPPrivacy ActE-Government ActSection 508 Accessibility StandardsDHS MD 11042.1

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDockerKubernetesMicroservicesRPA

About the role

Key responsibilities & impact

Provide expert-level technical leadership across FEMA's technology portfolio assessment
Conduct architectural reviews covering application design, hosting patterns, data architecture, integration maturity, API readiness, and cybersecurity posture
Determine modernization pathways including retain, rehost, replatform, reengineer, replace, consolidate, or retire
Analyze application and system architectures, platform dependencies, middleware, configuration management, and deployment patterns
Evaluate monolithic and microservices architectures and decomposition opportunities
Review development frameworks, technology stacks, programming languages, and technical debt
Assess containerization readiness, cloud-native potential, and modernization feasibility
Document architectural constraints, dependencies, technical barriers, legacy technology risks, vendor lock-in, and obsolescence
Assess data models, metadata management, data governance, lineage, data flows, accessibility, quality, and analytics/AI readiness
Identify data consolidation, master data management, and data standardization opportunities
Assess data residency, privacy controls, and sensitive data handling
Contribute to cybersecurity posture reviews including ATO status and RMF package currency
Assess NIST SP 800-53 controls, IAM, MFA, privileged access management, logging, monitoring, SIEM integration, DHS policies, zero trust, and CDM alignment
Evaluate AI and automation readiness, responsible AI governance needs, technical feasibility, risks, oversight, and ethical considerations
Recommend RPA, intelligent document processing, and predictive analytics opportunities
Develop detailed modernization options and quantify technical effort, duration, team size, and skills required
Analyze migration costs, licensing changes, hosting model shifts, and total cost of ownership
Document transition risks, dependencies, sequencing constraints, and rollback strategies
Identify phased migration, strangler pattern, and incremental modernization approaches
Trace evidence through findings to recommendations for defensible, auditable decision rationale

Requirements

What you’ll need

Bachelor's degree and 15+ years of enterprise systems engineering and solution architecture experience across hybrid cloud and on-premises environments
Proven expertise in integration architecture, API design and governance, data architecture, and security engineering
Demonstrated ability assessing complex federal IT portfolios and developing modernization strategies
Deep hands-on experience with AWS, Azure, or hybrid multi-cloud, including cloud migration patterns and cloud-native architecture
Strong analytical skills to evaluate technical trade-offs, quantify complexity, and assess cost implications
Ability to write clear, compelling engineering narratives for executive and technical audiences
Experience translating architectural findings into actionable recommendations with defensible rationale
Ability to obtain DHS Entry on Duty (EOD) clearance
Knowledge of FISMA and federal security frameworks
Knowledge of OMB Circulars A-130, A-11, and A-123
Knowledge of NIST SP 800-53 and NIST SP 800-37
Knowledge of FIPS and DHS 4300A Sensitive Systems Policy
Knowledge of Privacy Act, E-Government Act, and Federal Records Act requirements
Knowledge of Section 508 Accessibility Standards and accessible technology design principles
Knowledge of FedRAMP authorization processes and cloud security requirements, as applicable
Knowledge of DHS MD 11042.1 for FOUO/CUI handling
Desired: Direct experience with DHS enterprise architecture frameworks, reference architectures, and technical standards
Desired: FedRAMP authorization experience, including security assessment, continuous monitoring, and RMF package development
Desired: Prior experience modernizing legacy, highly coupled, monolithic systems within federal government portfolios
Desired: Hands-on experience with digital transformation initiatives including cloud migration, application modernization, and data platform consolidation
Desired: TOGAF, Zachman, or federal enterprise architecture framework certification
Desired: AWS Solutions Architect Professional, Azure Solutions Architect Expert, or equivalent certification
Desired: Experience with DevSecOps, CI/CD pipelines, and infrastructure as code
Desired: Familiarity with FEMA mission systems, emergency management operations, or disaster response technology
Desired: Background in agile architecture, evolutionary design, and incremental modernization
Desired: Knowledge of AI/ML platforms, Docker/Kubernetes, and serverless architectures

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation
Learning and development opportunities