booz allen hamilton

Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have: 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience in connecting Agents to APIs, Cloud platforms, or databases Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Ability to obtain a Secret clearance Bachelor's degree Nice If You Have: Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills Secret clearance Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 $99,000.00 to $225,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have: 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience in connecting Agents to APIs, Cloud platforms, or databases Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Ability to obtain a Secret clearance Bachelor's degree Nice If You Have: Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills Secret clearance Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 $99,000.00 to $225,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have: 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience in connecting Agents to APIs, Cloud platforms, or databases Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Ability to obtain a Secret clearance Bachelor's degree Nice If You Have: Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills Secret clearance Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 $99,000.00 to $225,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have: 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience in connecting Agents to APIs, Cloud platforms, or databases Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Ability to obtain a Secret clearance Bachelor's degree Nice If You Have: Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills Secret clearance Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 $99,000.00 to $225,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have: 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience in connecting Agents to APIs, Cloud platforms, or databases Experience evaluating LLM performance and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Ability to obtain a Secret clearance Bachelor's degree Nice If You Have: Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills Secret clearance Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 $99,000.00 to $225,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

TAK Developer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production ready. This role is more than just coding. As a senior full stack developer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the current architecture and operating environment, as well as future functionality and enhancements. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: 5+ years of experience in software programming with object-oriented languages, including Java, Kotlin, or JavaScript 3+ years of experience with Python for backend services, data processing, or automation Experience with relational databases and SQL, including MySQL or PostgreSQL Experience with Cursor-on-Target (CoT) and geospatial data formats such as KML and GeoJSON Experience with Linux server administration and containerization such as Docker Experience provisioning and managing virtualized or cloud infrastructure such as AWS EC2, Azure, vSphere, or Kubernetes Knowledge of the Tactical Assault Kit (TAK) ecosystem, including ATAK plugin development Secret clearance Bachelor's degree, or 8+ years of experience in software development in lieu of a degree Nice If You Have: Experience developing Android applications and with the Andriod SDK Experience with mobile technologies, including cellular and wireless Experience with WinTAK, TAK X, and TAK Server Experience with the ATAK-CIV SDK and Gradle-based plugin builds Experience with message brokers or pub-sub such as NATS, MQTT, or ActiveMQ Experience with gRPC or protobuf for service-to-service communication Knowledge of DevOps, continuous integration, and continuous deployment Knowledge of shell scripting and automation Ability to debug, troubleshoot, monitor, and maintain the operation of application code Top Secret clearance Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $86,900.00 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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

Offensive Cyberspace Operations Planner The Opportunity: Leverage expertise in military operations through the phases of planning, approval, and execution. Draft or edit Operational Plans (OPLANS), Operational Orders (OPORDs), and Fragmentary Orders (FRAGOs). Participate in Joint Planning Groups (JPG) and Operational Planning Teams (OPT) analyzing and integrating cyber capabilities into mission plans, support action officers with planning, and remain cognizant of missions and priorities of the client. Review plans to identify expressed or implied missions and responsibilities. Develop and analyze concepts of support and courses of action, integrate command and external capabilities, and coordinate and document comprehensive plans. Support client cryptologic operations as a Cyberspace Operations Mission Management Coordinator, including signals intelligence (SIGINT) processing, exploitation, and dissemination (PED) management in support of mission requirements. Provide subject matter expert (SME) support to Data Flow and Cyber Infrastructure and maintain operational dataflow on cryptologic systems in service and joint platforms. Provide SME support to Offensive Cyberspace Operations (OCO) and SIGINT planning to meet mission objectives. Plan activities required to support the execution of deliberate and dynamic Cyberspace Operations. You Have: 8+ years of experience with military cyberspace operations or computer network operations 3+ years of experience with OCO or the military planning process Experience in mission planning with a military or government OPT Experience drafting and editing OPLANs, OPORDs, and FRAGOs Experience developing concepts of support and courses of action Knowledge of cyberspace capabilities and available infrastructure or platforms Knowledge of planning technical operations TS/SCI clearance with a polygraph HS diploma or GED Nice If You Have: Experience working with client cybersecurity teams, including Combat Mission Teams (CMT), National Mission Teams (NMT), or Combat Support Teams (CST) Experience with full-spectrum cyberspace operations Bachelor's degree Completion of the Joint Information Operations Planners or Special Technical Operations (STO) Planners Course 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 with polygraph 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 $86,900.00 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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

Cloud Engineer, Senior The Opportunity: Manage, administer, support, and enhance cloud environments, ensuring continuous improvement and rapid problem resolution. Apply leading-edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies. You Have: 8+ years of experience with system administration of Windows or Linux operating systems 2+ years of experience managing Docker and Kubernetes infrastructure Experience with the design, deployment, and management of Cloud environments, including AWS or Azure Experience with the monitoring, maintenance, and security of critical infrastructure components Knowledge of foundational system administration principles Knowledge of DoD accreditation processes Top Secret clearance HS diploma or GED Ability to obtain a Security+ Certification within 30 days of hire date Nice If You Have: Experience leading a team of Cloud professionals on projects or efforts Experience working with DoD systems requiring accreditation, including RMF and ATO Knowledge of Cloud infrastructure cost forecasting and tracking Ability to work through challenging security requirements and maintain compliance AWS or Azure Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret 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 $99,000.00 to $225,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

Remote Sensing Software Engineer The Opportunity: At Booz Allen, you'll join a team using advanced imaging, physics-based modeling, and AI/ML to solve some of the nation's most compelling Space Domain Awareness (SDA) and remote sensing challenges. You'll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes. What You'll Do: Develop software tools for radiometric modeling and satellite observation geometry. Implement imaging and signal processing workflows, including motion compensation, multi-frame alignment, and super-resolution. Build ML-enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets. Design scientific Python pipelines such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing. Support orbital modeling tasks such as SGP4, TLE ingestion, or basic pose estimation. Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering. Maintain reproducible environments using GitLab, containers, and experiment-tracking tools. Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities. Join us. The world can't wait. You Have: 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation Experience designing, modifying, developing, writing, and implementing software programming applications using Agile methods Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray Experience with basic orbital mechanics Experience with ML frameworks such as PyTorch or TensorFlow Experience with large sensor datasets such as HDF5 or cloud object storage Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree in a STEM field Nice If You Have: Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins Experience with sensor phenomenology, radiometric calibration, or remote sensing interpretation Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction Experience with uncertainty quantification, Kalman filtering, or tracking algorithms Experience with AI-augmented development workflows or agentic tools Experience with GitLab-based CI/CD workflows Master's degree in Physics, Mathematics, CS, or a related STEM 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 $69,300.00 to $158,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

Remote Sensing Software Engineer The Opportunity: At Booz Allen, you'll join a team using advanced imaging, physics-based modeling, and AI/ML to solve some of the nation's most compelling Space Domain Awareness (SDA) and remote sensing challenges. You'll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes. What You'll Do: Develop software tools for radiometric modeling and satellite observation geometry. Implement imaging and signal processing workflows, including motion compensation, multi-frame alignment, and super-resolution. Build ML-enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets. Design scientific Python pipelines such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing. Support orbital modeling tasks such as SGP4, TLE ingestion, or basic pose estimation. Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering. Maintain reproducible environments using GitLab, containers, and experiment-tracking tools. Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities. Join us. The world can't wait. You Have: 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation Experience designing, modifying, developing, writing, and implementing software programming applications using Agile methods Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray Experience with basic orbital mechanics Experience with ML frameworks such as PyTorch or TensorFlow Experience with large sensor datasets such as HDF5 or cloud object storage Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree in a STEM field Nice If You Have: Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins Experience with sensor phenomenology, radiometric calibration, or remote sensing interpretation Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction Experience with uncertainty quantification, Kalman filtering, or tracking algorithms Experience with AI-augmented development workflows or agentic tools Experience with GitLab-based CI/CD workflows Master's degree in Physics, Mathematics, CS, or a related STEM 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 $69,300.00 to $158,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

AWS Full Stack Developer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production ready. This role is more than just coding. As a senior Full Stack Developer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: 5+ years of experience with UI and UX, including with a front-end framework such as React 5+ years of experience with back-end development, including with back-end languages such as Java, Python, GO, SQL, or C++, and front-end languages such as JavaScript, TypeScript, HTML, or CSS 5+ years of experience with enterprise application development 2+ years of experience with AWS services and cloud-native architecture patterns, including ECS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, IAM policies, security groups, and network security 2+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation Experience working with containerization, including Docker, Kubernetes, or ECS, and container orchestration Experience developing and deploying production applications from concept to Operations and Maintenance (O&M) Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED Nice If You Have: 3+ years of experience with containerization, including Docker, Kubernetes, or ECS, and container orchestration 3+ years of experience with Authority to Operate (ATO) processes and security documentation Experience with database administration and optimization, including MongoDB Experience with serverless architecture such as API Gateway Experience leading technical initiatives in large-scale environments Experience with system design, including scalability and reliability Experience developing Geospatial UIs, implementing DevOps mechanisms for projects, and designing and implementing UI for artificial intelligence or machine learning applications TS/SCI clearance with a polygraph AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certification IAT Level II+ Certification such as Security+ or CISSP Certification 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 $69,400.00 to $158,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

AWS Full Stack Developer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production ready. This role is more than just coding. As a senior Full Stack Developer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: 5+ years of experience with UI and UX, including with a front-end framework such as React 5+ years of experience with back-end development, including with back-end languages such as Java, Python, GO, SQL, or C++, and front-end languages such as JavaScript, TypeScript, HTML, or CSS 5+ years of experience with enterprise application development 2+ years of experience with AWS services and cloud-native architecture patterns, including ECS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, IAM policies, security groups, and network security 2+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation Experience working with containerization, including Docker, Kubernetes, or ECS, and container orchestration Experience developing and deploying production applications from concept to Operations and Maintenance (O&M) Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED Nice If You Have: 3+ years of experience with containerization, including Docker, Kubernetes, or ECS, and container orchestration 3+ years of experience with Authority to Operate (ATO) processes and security documentation Experience with database administration and optimization, including MongoDB Experience with serverless architecture such as API Gateway Experience leading technical initiatives in large-scale environments Experience with system design, including scalability and reliability Experience developing Geospatial UIs, implementing DevOps mechanisms for projects, and designing and implementing UI for artificial intelligence or machine learning applications TS/SCI clearance with a polygraph AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certification IAT Level II+ Certification such as Security+ or CISSP Certification 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 $69,400.00 to $158,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

AWS Full Stack Developer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production ready. This role is more than just coding. As a senior Full Stack Developer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: 5+ years of experience with UI and UX, including with a front-end framework such as React 5+ years of experience with back-end development, including with back-end languages such as Java, Python, GO, SQL, or C++, and front-end languages such as JavaScript, TypeScript, HTML, or CSS 5+ years of experience with enterprise application development 2+ years of experience with AWS services and cloud-native architecture patterns, including ECS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, IAM policies, security groups, and network security 2+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation Experience working with containerization, including Docker, Kubernetes, or ECS, and container orchestration Experience developing and deploying production applications from concept to Operations and Maintenance (O&M) Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED Nice If You Have: 3+ years of experience with containerization, including Docker, Kubernetes, or ECS, and container orchestration 3+ years of experience with Authority to Operate (ATO) processes and security documentation Experience with database administration and optimization, including MongoDB Experience with serverless architecture such as API Gateway Experience leading technical initiatives in large-scale environments Experience with system design, including scalability and reliability Experience developing Geospatial UIs, implementing DevOps mechanisms for projects, and designing and implementing UI for artificial intelligence or machine learning applications TS/SCI clearance with a polygraph AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certification IAT Level II+ Certification such as Security+ or CISSP Certification 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 $69,400.00 to $158,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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, Senior The Opportunity Lead 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 microservices Own major system components and guide the technical roadmap for modernization and cloud adoption Develop distributed, secure, scalable back end services using Python, Java/Spring Boot, or similar technologies Architect and govern cloud deployments (AWS), including Kubernetes clusters, IaC, security controls, and reliability patterns Guide teams in DevSecOps execution, including GitLab CI/CD pipelines, automated testing, secure coding standards, and supply chain integrity Integrate large scale data, search, or analytic pipelines, such as Kafka, NiFi, Elasticsearch Partner with product owners, mission users, and cross functional engineering teams to define requirements and technical strategy Mentor and support mid level and junior engineers; perform code reviews and drive engineering best practices Evaluate emerging technologies such as LLMs/AI, synthetic data, augmented development tools for mission applicability Join us. The world can't wait. You Have: 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 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 $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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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, Mid The Opportunity: Bring your full-stack engineering expertise to help modernize GEOINT and national security mission systems. As a mid level engineer, you'll build cloud native microservices, develop scalable front end interfaces, and support the transformation of legacy analytical pipelines into modern, secure architectures that directly empower analysts in exploitation, tracking, visualization, and reporting workflows. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user centric tools that accelerate mission outcomes. What You'll Work On: Implement end to end features across modern front end frameworks such as React, Angular, or Vue and back end microservices such as Python, Java, or Node.js. Build, enhance, and integrate API frameworks, such as FastAPI, RESTful, gRPC, or GraphQL APIs. Develop scalable services using containerized workloads, including Docker, orchestrated with Kubernetes. Support cloud deployments such as AWS or Azure, including IaC using Terraform or CloudFormation. Contribute to modern DevSecOps practices, including automated testing, code quality enforcement, GitLab, GitHub, CI/CD pipelines, and security scanning. Participate in Agile sprint planning, backlog refinement, peer code reviews, and user focused design discussions. Integrate data, ML enabled, or analytic pipeline components into mission workflows, working closely with data engineers and analysts. Troubleshoot issues across the full stack and contribute to team wide engineering improvements. Join us. The world can't wait. You Have: 4+ years of experience with full stack software development Experience with modern object oriented languages such as Python, C++, or Java Experience with at least one front end framework such as React, Angular, or Vue or with HTML, CSS, and JavaScript Experience developing and consuming FastAPI, REST, gRPC, or GraphQL APIs Experience with Docker and Kubernetes Experience deploying to AWS or Azure cloud environments Experience with GitLab, GitHub, or Jenkins CI/CD automation Experience working with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLite Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree in a STEM field Nice If You Have: Experience with Agile methodology, extreme programming, software engineering, product management, and software products Experience with microservices patterns, event driven architectures, or message queues including Kafka, SNS, or SQS Experience integrating synthetic data, analytic models, or ML pipelines into applications Experience with Elasticsearch, OpenSearch, or distributed search systems Experience with user centered design or reusable component libraries Experience with AI augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode Master's degree in Computer Science or Software Engineering 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 $69,300.00 to $158,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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, Mid The Opportunity: Bring your full-stack engineering expertise to help modernize GEOINT and national security mission systems. As a mid level engineer, you'll build cloud native microservices, develop scalable front end interfaces, and support the transformation of legacy analytical pipelines into modern, secure architectures that directly empower analysts in exploitation, tracking, visualization, and reporting workflows. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user centric tools that accelerate mission outcomes. What You'll Work On: Implement end to end features across modern front end frameworks such as React, Angular, or Vue and back end microservices such as Python, Java, or Node.js. Build, enhance, and integrate API frameworks, such as FastAPI, RESTful, gRPC, or GraphQL APIs. Develop scalable services using containerized workloads, including Docker, orchestrated with Kubernetes. Support cloud deployments such as AWS or Azure, including IaC using Terraform or CloudFormation. Contribute to modern DevSecOps practices, including automated testing, code quality enforcement, GitLab, GitHub, CI/CD pipelines, and security scanning. Participate in Agile sprint planning, backlog refinement, peer code reviews, and user focused design discussions. Integrate data, ML enabled, or analytic pipeline components into mission workflows, working closely with data engineers and analysts. Troubleshoot issues across the full stack and contribute to team wide engineering improvements. Join us. The world can't wait. You Have: 4+ years of experience with full stack software development Experience with modern object oriented languages such as Python, C++, or Java Experience with at least one front end framework such as React, Angular, or Vue or with HTML, CSS, and JavaScript Experience developing and consuming FastAPI, REST, gRPC, or GraphQL APIs Experience with Docker and Kubernetes Experience deploying to AWS or Azure cloud environments Experience with GitLab, GitHub, or Jenkins CI/CD automation Experience working with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLite Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree in a STEM field Nice If You Have: Experience with Agile methodology, extreme programming, software engineering, product management, and software products Experience with microservices patterns, event driven architectures, or message queues including Kafka, SNS, or SQS Experience integrating synthetic data, analytic models, or ML pipelines into applications Experience with Elasticsearch, OpenSearch, or distributed search systems Experience with user centered design or reusable component libraries Experience with AI augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode Master's degree in Computer Science or Software Engineering 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 $69,300.00 to $158,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

AWS Full Stack Developer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production ready. This role is more than just coding. As a senior Full Stack Developer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: 5+ years of experience with UI and UX, including with a front-end framework such as React 5+ years of experience with back-end development, including with back-end languages such as Java, Python, GO, SQL, or C++, and front-end languages such as JavaScript, TypeScript, HTML, or CSS 5+ years of experience with enterprise application development 2+ years of experience with AWS services and cloud-native architecture patterns, including ECS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, IAM policies, security groups, and network security 2+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation Experience working with containerization, including Docker, Kubernetes, or ECS, and container orchestration Experience developing and deploying production applications from concept to Operations and Maintenance (O&M) Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED Nice If You Have: 3+ years of experience with containerization, including Docker, Kubernetes, or ECS, and container orchestration 3+ years of experience with Authority to Operate (ATO) processes and security documentation Experience with database administration and optimization, including MongoDB Experience with serverless architecture such as API Gateway Experience leading technical initiatives in large-scale environments Experience with system design, including scalability and reliability Experience developing Geospatial UIs, implementing DevOps mechanisms for projects, and designing and implementing UI for artificial intelligence or machine learning applications TS/SCI clearance with a polygraph AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certification IAT Level II+ Certification such as Security+ or CISSP Certification 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 $69,400.00 to $158,000.00 (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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

AWS Database Software Engineer The Opportunity: As an AWS Database Software Engineer, you can resolve a problem with a complete end-to-end geospatial database solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production-ready. The position expects familiarity with geospatial data and databases ensuring high availability, performance, and data integrity. This role is more than just coding. As a software engineer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Grow your skills at the leading edge of innovation. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: 5+ years of experience in software with a cloud-first development approach 4+ years of experience with enterprise data engineering development, including geospatial data 3+ years of experience with AWS services and cloud-native architecture patterns, including ECS/EKS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, IAM policies, security groups, and network security 3+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation Experience working with ETL/ELT pipeline development using AWS services Experience with data lakes, data warehousing, and analytics platforms Experience developing and deploying production geospatial solutions from concept to O&M Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Nice If You Have: Experience with Authority to Operate (ATO) processes and security documentation Experience with database administration and optimization, including PostgreSQL or Aurora Postgres with geospatial workloads Experience designing and optimizing spatial database schemas, spatial indexing strategies, and complex geospatial queries at scale Experience leading technical initiatives in large-scale environments Experience with system design, including scalability and reliability Experience developing dashboards and monitoring systems to track streaming services Knowledge of security best practices and compliance requirements TS/SCI clearance with a polygraph AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certifications IAT Level II+ Certification such as Security+ or CISSP Certifications 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 $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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

AWS Database Software Engineer The Opportunity: As an AWS Database Software Engineer, you can resolve a problem with a complete end-to-end geospatial database solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production-ready. The position expects familiarity with geospatial data and databases ensuring high availability, performance, and data integrity. This role is more than just coding. As a software engineer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Grow your skills at the leading edge of innovation. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: 5+ years of experience in software with a cloud-first development approach 4+ years of experience with enterprise data engineering development, including geospatial data 3+ years of experience with AWS services and cloud-native architecture patterns, including ECS/EKS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, IAM policies, security groups, and network security 3+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation Experience working with ETL/ELT pipeline development using AWS services Experience with data lakes, data warehousing, and analytics platforms Experience developing and deploying production geospatial solutions from concept to O&M Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Nice If You Have: Experience with Authority to Operate (ATO) processes and security documentation Experience with database administration and optimization, including PostgreSQL or Aurora Postgres with geospatial workloads Experience designing and optimizing spatial database schemas, spatial indexing strategies, and complex geospatial queries at scale Experience leading technical initiatives in large-scale environments Experience with system design, including scalability and reliability Experience developing dashboards and monitoring systems to track streaming services Knowledge of security best practices and compliance requirements TS/SCI clearance with a polygraph AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certifications IAT Level II+ Certification such as Security+ or CISSP Certifications 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 $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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.

AWS Database Software Engineer The Opportunity: As an AWS Database Software Engineer, you can resolve a problem with a complete end-to-end geospatial database solution in a fast, agile environment. If you're looking for the chance to not just develop software, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop software and systems from vision to production-ready. The position expects familiarity with geospatial data and databases ensuring high availability, performance, and data integrity. This role is more than just coding. As a software engineer at Booz Allen, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and technologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Grow your skills at the leading edge of innovation. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: 5+ years of experience in software with a cloud-first development approach 4+ years of experience with enterprise data engineering development, including geospatial data 3+ years of experience with AWS services and cloud-native architecture patterns, including ECS/EKS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, IAM policies, security groups, and network security 3+ years of experience with Infrastructure as Code, including AWS CDK, Terraform, or CloudFormation Experience working with ETL/ELT pipeline development using AWS services Experience with data lakes, data warehousing, and analytics platforms Experience developing and deploying production geospatial solutions from concept to O&M Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Nice If You Have: Experience with Authority to Operate (ATO) processes and security documentation Experience with database administration and optimization, including PostgreSQL or Aurora Postgres with geospatial workloads Experience designing and optimizing spatial database schemas, spatial indexing strategies, and complex geospatial queries at scale Experience leading technical initiatives in large-scale environments Experience with system design, including scalability and reliability Experience developing dashboards and monitoring systems to track streaming services Knowledge of security best practices and compliance requirements TS/SCI clearance with a polygraph AWS Certifications such as AWS Certified Solutions Architect or AWS Certified Developer Certifications IAT Level II+ Certification such as Security+ or CISSP Certifications 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 $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. Candidate AI Usage Policy 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. Commitment to Non-Discrimination All 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.