Software Architect, Lead

Software Architect, Lead The Opportunity: As a Lead Software Architect, you will define and drive the end-to-end architecture for modernizing MATLAB-based algorithms into scalable Python-based applications. You will lead the design of containerized, cloud-ready systems with automated CI/CD pipelines and deployment strategies for both standalone and distributed environments. This role focuses on building a modern engineering ecosystem that integrates scientific computing, web technologies, and enterprise data platforms. You will work across engineering and stakeholder teams to translate complex analytical workflows into robust, production-grade software solutions using modern architecture patterns, DevSecOps practices, and AI-assisted development tools. What You'll Work On: Define architecture for MATLAB-to-Python modernization programs. Design scalable, containerized systems with CI/CD automation. Lead development of standalone and cloud-deployable applications. Architect data solutions using PostgreSQL and Elasticsearch. Guide engineering teams on design, implementation, and best practices. Ensure systems meet performance, security, and scalability requirements. Join us. The world can’t wait. You Have: 8+ years of experience leading software engineering teams and defining architecture standards Experience leading modernization of MATLAB-based systems into Python-based platforms Experience designing CI/CD pipelines, such as GitHub Actions, GitLab CI, or Jenkins Experience with Docker and Kubernetes for containerized deployments Experience with React and Node.js for full stack web applications Experience with PostgreSQL for relational data design and optimization Experience with Elasticsearch for search and analytics use cases Experience with cloud platforms such as AWS or Azure Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree in a STEM field Nice If You Have: Experience building standalone and cloud-native applications Expertise in Python for application development and scientific computing Experience in modeling and simulation, or algorithm-heavy systems Experience with DevSecOps, observability, and infrastructure as code Experience with AI‑augmented development workflows or agentic tools Master’s degree in Computer Science, Software Engineering, or a related field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. 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