US Citizen with the ability to secure a public trust clearance
Bachelor's degree in computer science, engineering, or related technical field; Master's preferred
AWS Certified Solutions Architect - Associate or Professional required
10+ years in IT with a focus on development, DevSecOps, and AI/ML engineering
3+ years in architecture and design of enterprise applications in AWS
Experience leading large-scale DevSecOps initiatives
Familiarity with AWS services like EC2, S3, Aurora, and others
Responsibilities
Lead DevSecOps initiatives for large-scale, multi-cloud and on-premises platforms
Architect and implement enterprise applications in AWS leveraging AI/ML
Design secure and resilient platforms meeting high availability targets
Develop infrastructure-as-code solutions using Terraform and AWS-native tools
Integrate security and code quality scanning into CI/CD pipelines
Guide AI/ML model integration into DevSecOps workflows
Oversee platform monitoring, incident response, and disaster recovery
Enable serverless and containerized microservices patterns
Support authentication and identity architecture aligned to NIST standards
Mentor DevSecOps engineering teams
Benefits
Opportunity to work on mission-critical projects for homeland security
Engagement with cutting-edge technologies like AI/ML and cloud solutions
Collaborative environment with multi-disciplinary Agile teams
Focus on innovative DevSecOps practices
Potential for career growth and technical leadership opportunities
Full Job Description
Analytica is looking for a hands-on lead AWS Solution Architect to lead designing, implementing, and continuing to improve a large scale, enterprise AWS-based platform underpinning mission critical, public facing services for a leading homeland security client. This architect leads end-to-end DevSecOps architecture, automation, and CI/CD design for enterprise identity, scheduling, and biometrics applications hosted primarily in AWS, with integrated AI/ML,data analytics, and entity resolution capabilities. The role provides technical leadership to multi-disciplinary Agile teams and drives the "zero-trust," "automation-first," and "infrastructure as code" principles across the program.
Key Responsibilities
Lead DevSecOps initiatives, including architecture, automation, monitoring, testing, and CI/CD pipelines for large-scale, multi-cloud and on-premises platforms.
Architect, design, and implement production enterprise applications in AWS cloud platforms that leverage AI/ML.
Design scalable, secure, and resilient platforms that meet USCIS performance and availability targets (99.9% uptime; 24/7 platform availability).
Architect infrastructure-as-code (IaC) solutions using Terraform and AWS-native capabilities to ensure consistent and secure environments.
Integrate security and code quality scanning (Checkmarx, SonarQube, NexusIQ, Prisma Cloud) into the CI/CD pipeline and enforce secure configurations for cloud resources.
Guide integration of AI/ML models into DevSecOps workflows and manage data architectures for transactions and analytical solutions.
Guide platform monitoring, observability, incident response, and disaster recovery; support 24x7 / 15-minute incident response and MTTR of 90 minutes or less for internal code faults.
Enable serverless, containerized microservices patterns (AWS Lambda, EKS, Kubernetes, Rancher, Docker) and support SPA/MPA DevSecOps practices.
Support authentication and identity architecture aligned to NIST SP 800-63-3, SP 800-63A/B/C (AAL 1-3, FAL 1-3), including OAuth 2.0, OIDC, PKCE, SAML, TOTP, and WebAuthN.
Mentor and provide technical guidance to DevSecOps engineering teams;
Required Qualifications
US Citizen with the ability to secure a public trust clearance
Bachelors degree in computer science, engineering or related technical field; Masters a Plus
AWS Certified Solutions Architect - Associate or Professional (Required).
10+ years of experience in the Information Technology field focusing on development projects, DevSecOps, AI/ML engineering projects, and technical architecture, of which three (3) years shall be in architecture, design, and production enterprise applications in cloud platforms using AI/ML, specifically in AWS.
Proven Experience leading large scale enterprise DevSecOps initiatives including architecture, automation, and CI/CD pipelines for large-scale, multi-cloud and on-premises platforms.
Demonstrated experience with the AWS services EC2, S3, Aurora, RDS, OpenSearch, CloudFormation, CloudTrail, CloudWatch, Lambda, Kinesis, EKS, KMS.
Demonstrated experience with Terraform, Kubernetes, Docker, Harness, and Backstage.
Knowledge of federal security and compliance standards (e.g., FISMA, FedRAMP) and experience supporting ATO process
Preferred Qualifications
Experience with DHS Enterprise Architecture Technical Reference Model (TRM) and IPv6 (USGv6) compliance.
Prior DHS or large federal civilian cloud platform experience.
