Full Stack Software Engineer, Senior

Full Stack Software Engineer, SeniorThe OpportunityLead the modernization of mission-critical GEOINT systems by architecting and delivering cloud-native, data-driven applications and microservices. In this senior role, you will shape technical direction, oversee the integration of modern pipelines, and develop secure, scalable solutions that directly impact analysts performing high-consequence missions.You’ll serve as a technical leader who advises on architecture, mentors engineers, and drives engineering excellence across complex modernization efforts.Join us. The world can’t wait. What You’ll Do:Lead architecture, design, and implementation of full-stack capabilities across cloud-native microservicesOwn major system components and guide the technical roadmap for modernization and cloud adoptionDevelop distributed, secure, scalable back-end services using Python, Java/Spring Boot, or similar technologiesArchitect and govern cloud deployments (AWS), including Kubernetes clusters, IaC, security controls, and reliability patternsGuide teams in DevSecOps execution, including GitLab CI/CD pipelines, automated testing, secure coding standards, and supply-chain integrityIntegrate large-scale data, search, or analytic pipelines, such as Kafka, NiFi, ElasticsearchPartner with product owners, mission users, and cross-functional engineering teams to define requirements and technical strategyMentor and support mid-level and junior engineers; perform code reviews and drive engineering best practicesEvaluate emerging technologies such as LLMs/AI, synthetic data, augmented development tools for mission applicabilityJoin us. The world can’t wait.You Have: 6+ years of experience with full-stack software engineeringExperience leading technical delivery or architecture for cloud-native or distributed systemsExperience with Python, C++, Java, Spring Boot, or enterprise service stacksExperience with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLiteExperience architecting and deploying solutions using AWS or Azure cloud frameworksExperience with containerization and orchestration such as Docker and KubernetesExperience with complex API ecosystems such as FastAPT, REST, gRPC, or GraphQLExperience building secure, high-performance applications in classified or highly restricted environmentsActive TS/SCI clearance; willingness to take a polygraph examBachelor’s degree in a STEM fieldNice If You Have: Experience working with automated testing tools to perform testing and maintenance Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approachExperience with distributed search or data platforms such as Elasticsearch, OpenSearch, Solr, Kafka, or NiFiExperience modernizing legacy applications into modern frameworks Experience with IaC tools such as Terraform or CloudFormationExperience integrating AI/ML or LLM-based development workflowsExperience supporting GEOINT or Intelligence Community analytic missionsMaster’s degree in Computer Science, Software Engineering or a related fieldClearance: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.CompensationAt 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 $86,800.00 to $198,000.00 (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 StatementAs 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.Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work ModelOur people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership’s expectations and the needs of the role.Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. Full Stack Software Engineer, SeniorThe OpportunityLead the modernization of mission-critical GEOINT systems by architecting and delivering cloud-native, data-driven applications and microservices. In this senior role, you will shape technical direction, oversee the integration of modern pipelines, and develop secure, scalable solutions that directly impact analysts performing high-consequence missions.You’ll serve as a technical leader who advises on architecture, mentors engineers, and drives engineering excellence across complex modernization efforts.Join us. The world can’t wait. What You’ll Do:Lead architecture, design, and implementation of full-stack capabilities across cloud-native microservicesOwn major system components and guide the technical roadmap for modernization and cloud adoptionDevelop distributed, secure, scalable back-end services using Python, Java/Spring Boot, or similar technologiesArchitect and govern cloud deployments (AWS), including Kubernetes clusters, IaC, security controls, and reliability patternsGuide teams in DevSecOps execution, including GitLab CI/CD pipelines, automated testing, secure coding standards, and supply-chain integrityIntegrate large-scale data, search, or analytic pipelines, such as Kafka, NiFi, ElasticsearchPartner with product owners, mission users, and cross-functional engineering teams to define requirements and technical strategyMentor and support mid-level and junior engineers; perform code reviews and drive engineering best practicesEvaluate emerging technologies such as LLMs/AI, synthetic data, augmented development tools for mission applicabilityJoin us. The world can’t wait.You Have: 6+ years of experience with full-stack software engineeringExperience leading technical delivery or architecture for cloud-native or distributed systemsExperience with Python, C++, Java, Spring Boot, or enterprise service stacksExperience with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLiteExperience architecting and deploying solutions using AWS or Azure cloud frameworksExperience with containerization and orchestration such as Docker and KubernetesExperience with complex API ecosystems such as FastAPT, REST, gRPC, or GraphQLExperience building secure, high-performance applications in classified or highly restricted environmentsActive TS/SCI clearance; willingness to take a polygraph examBachelor’s degree in a STEM fieldNice If You Have: Experience working with automated testing tools to perform testing and maintenance Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approachExperience with distributed search or data platforms such as Elasticsearch, OpenSearch, Solr, Kafka, or NiFiExperience modernizing legacy applications into modern frameworks Experience with IaC tools such as Terraform or CloudFormationExperience integrating AI/ML or LLM-based development workflowsExperience supporting GEOINT or Intelligence Community analytic missionsMaster’s degree in Computer Science, Software Engineering or a related fieldClearance: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.CompensationAt 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 $86,800.00 to $198,000.00 (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 StatementAs 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.Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work ModelOur people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership’s expectations and the needs of the role.Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

• 6+ years of experience with full-stack software engineering
• Experience leading technical delivery or architecture for cloud-native or distributed systems
• Experience with Python, C++, Java, Spring Boot, or enterprise service stacks
• Experience with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLite
• Experience architecting and deploying solutions using AWS or Azure cloud frameworks
• Experience with containerization and orchestration such as Docker and Kubernetes
• Experience with complex API ecosystems such as FastAPT, REST, gRPC, or GraphQL
• Experience building secure, high-performance applications in classified or highly restricted environments
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree in a STEM field

Nice If You Have:

• Experience working with automated testing tools to perform testing and maintenance
• Experience with AI-augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi-agent approach
• Experience with distributed search or data platforms such as Elasticsearch, OpenSearch, Solr, Kafka, or NiFi
• Experience modernizing legacy applications into modern frameworks
• Experience with IaC tools such as Terraform or CloudFormation
• Experience integrating AI/ML or LLM-based development workflows
• Experience supporting GEOINT or Intelligence Community analytic missions
• Master’s degree in Computer Science, Software Engineering or a related field

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 $86,800.00 to $198,000.00 (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.

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership’s expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.