Date Posted: 2026-11-05 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We have an exciting opportunity for a Senior. Platform DevOps Engineer, supporting one of our premier programs in the business unit where you will be working with a cross-disciplinary team of Platform engineers and Systems Administrators leading the industry in ground systems solutions. This role entails the design, development, implementation, integration, and sustainment of our compute, network, and storage infrastructure. The position also focuses on platform modernization by incorporating emerging technologies to optimize performance and efficiency. Utilizing DevOps/DevSecOps methodologies, tools, and automation, the role is critical in streamlining processes, enhancing collaboration, and accelerating software release cycles. As part of the team, you will contribute to the development and operational environments of a large-scale program that supports a critical national asset, ensuring its reliability and innovation in line with mission objectives. Note This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Platform Development and Optimization: Contribute to the architecture, design, integration, and support of platform and infrastructure environments across build, integration & test, and production stages. Focus on ensuring these environments are optimized for performance, reliability, and scalability within cloud-based ecosystems Best Practices and Automation: Utilize industry and company best practices to enhance scalability, consistency, and infrastructure efficiency, while reducing deployment time and automating configuration management processes Cross-Team Collaboration: Work closely with software engineers, data scientists, and other agile development teams to design and implement resilient and scalable platform solutions Security and Compliance Integration: Embed security and compliance measures into the platform, including services like encryption and access management Operational Support: Provide ongoing operational support to maintain the stability, functionality, and performance of the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a Minimum of 5 years of related work experience RedHat Linux Expertise: Proven experience in the installation, configuration, and maintenance of RedHat Linux operating systems. Experience implementing infrastructure/platform pipelines resulting in deployed services (CI/CD) Automation Tools Proficiency: Experience with automation frameworks such as Terraform, Ansible, and Chef to streamline infrastructure deployment and management DoD 8570 IAT Level II Certification: Must meet Department of Defense 8570 Information Assurance Technical (IAT) Level II requirements, such as holding a Security+ CE or equivalent certification. Active and Current TS/SCI security clearance is required on day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Infrastructure Expertise: background in managing and troubleshooting servers, networks, storage, and virtualization technologies DevSecOps Framework: Proficiency in developing, testing, and delivering applications within a DevSecOps framework Cyber knowledge and system implementation / Design decomposition Containerization and Infrastructure Design: Proficiency in designing, implementing, and integrating platform infrastructure services using containerization technologies such as Kubernetes, Docker, and/or Podman Experience with CI/CD Tools: Hands-on experience in deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Jenkins, Artifactory, GitLab and Helm COTS/FOSS Products: Experience in installation, configuration, and integration of Commercial Off-The-Shelf (COTS) and Free and Open-Source Software (FOSS) products What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite Employees who are working in Onsite roles will work onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO # RaytheonSpace We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-11-05 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We have an exciting opportunity for a Senior. Platform DevOps Engineer, supporting one of our premier programs in the business unit where you will be working with a cross-disciplinary team of Platform engineers and Systems Administrators leading the industry in ground systems solutions. This role entails the design, development, implementation, integration, and sustainment of our compute, network, and storage infrastructure. The position also focuses on platform modernization by incorporating emerging technologies to optimize performance and efficiency. Utilizing DevOps/DevSecOps methodologies, tools, and automation, the role is critical in streamlining processes, enhancing collaboration, and accelerating software release cycles. As part of the team, you will contribute to the development and operational environments of a large-scale program that supports a critical national asset, ensuring its reliability and innovation in line with mission objectives. Note This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Platform Development and Optimization: Contribute to the architecture, design, integration, and support of platform and infrastructure environments across build, integration & test, and production stages. Focus on ensuring these environments are optimized for performance, reliability, and scalability within cloud-based ecosystems Best Practices and Automation: Utilize industry and company best practices to enhance scalability, consistency, and infrastructure efficiency, while reducing deployment time and automating configuration management processes Cross-Team Collaboration: Work closely with software engineers, data scientists, and other agile development teams to design and implement resilient and scalable platform solutions Security and Compliance Integration: Embed security and compliance measures into the platform, including services like encryption and access management Operational Support: Provide ongoing operational support to maintain the stability, functionality, and performance of the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a Minimum of 5 years of related work experience RedHat Linux Expertise: Proven experience in the installation, configuration, and maintenance of RedHat Linux operating systems. Experience implementing infrastructure/platform pipelines resulting in deployed services (CI/CD) Automation Tools Proficiency: Experience with automation frameworks such as Terraform, Ansible, and Chef to streamline infrastructure deployment and management DoD 8570 IAT Level II Certification: Must meet Department of Defense 8570 Information Assurance Technical (IAT) Level II requirements, such as holding a Security+ CE or equivalent certification. Active and Current TS/SCI security clearance is required on day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Infrastructure Expertise: background in managing and troubleshooting servers, networks, storage, and virtualization technologies DevSecOps Framework: Proficiency in developing, testing, and delivering applications within a DevSecOps framework Cyber knowledge and system implementation / Design decomposition Containerization and Infrastructure Design: Proficiency in designing, implementing, and integrating platform infrastructure services using containerization technologies such as Kubernetes, Docker, and/or Podman Experience with CI/CD Tools: Hands-on experience in deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Jenkins, Artifactory, GitLab and Helm COTS/FOSS Products: Experience in installation, configuration, and integration of Commercial Off-The-Shelf (COTS) and Free and Open-Source Software (FOSS) products What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite Employees who are working in Onsite roles will work onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO # RaytheonSpace We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2026-11-06 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. As a Senior Platform DevOps Engineer, you will play a critical role in designing, implementing, and modernizing platform infrastructure to support mission-critical systems. You will work on a team responsible for development and operational environments for a large program producing a strategic national asset. Your contributions will drive efficiency, innovation, and collaboration while accelerating release cycles. Note: This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Modernize platform architecture by incorporating emerging technologies and DevOps/DevSecOps tools Transition tightly coupled systems to infrastructure-independent solutions Develop, configure, and support build, integration, test, and deployment pipelines Automate configuration management to improve scalability, consistency, and infrastructure efficiency Collaborate with software engineers, data scientists, and agile development teams to create robust platform solutions Integrate security and compliance measures, including encryption and access management, into the platform Provide operational support for platform infrastructure and services Qualifications You Must Have Typically requires a bachelor's degree in science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of relevant prior experience Experience designing, implementing, and integrating platform infrastructure services using technologies such as Kubernetes and Docker Experience with programming or scripting languages, including Python, Java, Ruby, Bash, C++, C#, or Go Experience with RedHat Linux, including system administration tasks Active and Current TS/SCI security clearance is required on Day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Bitbucket, Jenkins, Artifactory, or GitLab Experience troubleshooting applications and infrastructure services on Linux-based operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef Experience developing, testing, and delivering applications within a DevSecOps framework Background in COTS/FOSS product installation, configuration, and integration Certification meeting DoD 8570 IAT Level II requirements (e.g., Security+ CE or equivalent) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite Employees who are working in Onsite roles will work onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-11-06 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. As a Senior Platform DevOps Engineer, you will play a critical role in designing, implementing, and modernizing platform infrastructure to support mission-critical systems. You will work on a team responsible for development and operational environments for a large program producing a strategic national asset. Your contributions will drive efficiency, innovation, and collaboration while accelerating release cycles. Note: This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Modernize platform architecture by incorporating emerging technologies and DevOps/DevSecOps tools Transition tightly coupled systems to infrastructure-independent solutions Develop, configure, and support build, integration, test, and deployment pipelines Automate configuration management to improve scalability, consistency, and infrastructure efficiency Collaborate with software engineers, data scientists, and agile development teams to create robust platform solutions Integrate security and compliance measures, including encryption and access management, into the platform Provide operational support for platform infrastructure and services Qualifications You Must Have Typically requires a bachelor's degree in science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of relevant prior experience Experience designing, implementing, and integrating platform infrastructure services using technologies such as Kubernetes and Docker Experience with programming or scripting languages, including Python, Java, Ruby, Bash, C++, C#, or Go Experience with RedHat Linux, including system administration tasks Active and Current TS/SCI security clearance is required on Day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Bitbucket, Jenkins, Artifactory, or GitLab Experience troubleshooting applications and infrastructure services on Linux-based operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef Experience developing, testing, and delivering applications within a DevSecOps framework Background in COTS/FOSS product installation, configuration, and integration Certification meeting DoD 8570 IAT Level II requirements (e.g., Security+ CE or equivalent) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite Employees who are working in Onsite roles will work onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Job Description Position: Senior Data Scientist Work Location: 1302 Pleasant Ridge Rd., Greensboro, JOB DESCRIPTION: Perform statistical analysis of a/b tests and build machine learning ranking models for search result ranking and personalized recommendations. Build models for category classifiers in predicting categories for a product or search keyword, fine tune out of box models such as word2vec or Bert, text embedding, customer segmentations models, and help support various business decision making process. Complete ownership from requirements, solution design, development, production launch and post launch production support. Work through all phases of development including data analysis, model prototyping, model evaluation (offline/online), training data set, automation and maintenance. Participate in code reviews and regular on-call rotations. Collaborate with other teams including search and data engineering, web and marketing analysts, data analyst, project managers, system team and other contractors/consultants. Write code in Python/R using various statistical techniques and machine learning models, maintain all the code in repository such as Git/Bitbucket. Hands on development and deliver the work in sprint cycle. Develop visualization of data with tools such as Jupyter notebooks and integrations with Tableau. A/B test evaluation, share the findings with the team. Communicate summarized results to technical and non-technical stakeholders to help them make decision. Work with search engineers and data engineers in integrating ML models, analytics pipeline, work with ML Engineers/Data Engineers in deploying models to production, participate in MLOps processes. Work with stakeholders throughout the organization to identify opportunities for leveraging machine learning techniques across other business verticals. Mentor Jr. team members, define architecture, code review. REQUIREMENTS: Must possess a Bachelor's degree in Computer Science, Business Analytics, or a closely related degree and 5 years of experience in the job offered or related role. Must possess experience with: (i) Machine learning Tech Stack; (ii) PyTorch; (iii) TensorFlow; (iv) Scikit-learn; (v) Pandas; (vi) Python R; (vii) Deep Learning frameworks; (viii) Database SQL queries; (ix) AWS Athena; (x) BigQuery and Google Analytics tagging and integration; (xi) ML models for information retrieval algorithms; (xii) Transformers and encoders; (xiii) ANN/KNN; and (xiv) Programming skills, statistical techniques, clustering techniques, predictive modeling, AI/ML/NLP, architecture diagramming, and problem solving and debugging skills.
11/12/2026
Full time
Job Description Job Description Position: Senior Data Scientist Work Location: 1302 Pleasant Ridge Rd., Greensboro, JOB DESCRIPTION: Perform statistical analysis of a/b tests and build machine learning ranking models for search result ranking and personalized recommendations. Build models for category classifiers in predicting categories for a product or search keyword, fine tune out of box models such as word2vec or Bert, text embedding, customer segmentations models, and help support various business decision making process. Complete ownership from requirements, solution design, development, production launch and post launch production support. Work through all phases of development including data analysis, model prototyping, model evaluation (offline/online), training data set, automation and maintenance. Participate in code reviews and regular on-call rotations. Collaborate with other teams including search and data engineering, web and marketing analysts, data analyst, project managers, system team and other contractors/consultants. Write code in Python/R using various statistical techniques and machine learning models, maintain all the code in repository such as Git/Bitbucket. Hands on development and deliver the work in sprint cycle. Develop visualization of data with tools such as Jupyter notebooks and integrations with Tableau. A/B test evaluation, share the findings with the team. Communicate summarized results to technical and non-technical stakeholders to help them make decision. Work with search engineers and data engineers in integrating ML models, analytics pipeline, work with ML Engineers/Data Engineers in deploying models to production, participate in MLOps processes. Work with stakeholders throughout the organization to identify opportunities for leveraging machine learning techniques across other business verticals. Mentor Jr. team members, define architecture, code review. REQUIREMENTS: Must possess a Bachelor's degree in Computer Science, Business Analytics, or a closely related degree and 5 years of experience in the job offered or related role. Must possess experience with: (i) Machine learning Tech Stack; (ii) PyTorch; (iii) TensorFlow; (iv) Scikit-learn; (v) Pandas; (vi) Python R; (vii) Deep Learning frameworks; (viii) Database SQL queries; (ix) AWS Athena; (x) BigQuery and Google Analytics tagging and integration; (xi) ML models for information retrieval algorithms; (xii) Transformers and encoders; (xiii) ANN/KNN; and (xiv) Programming skills, statistical techniques, clustering techniques, predictive modeling, AI/ML/NLP, architecture diagramming, and problem solving and debugging skills.
Job Description Job Description Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Usage Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities. Agentic AI System Development Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents. AI Software Engineer Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 3-7 years of hands-on experience delivering AI/ML solutions. Experience in generative AI, working with LLMs, and adding tool calls (MCP) Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform. Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock Typescript proficiency and familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite) Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience deploying applications using cloud platforms (AWS, GCP) and container tools (Docker, Kubernetes). Familiarity with CI/CD pipelines (GitLab CI) Experience with AI coding tools (Claude Code, Codex, Antigravity). Strong communication skills and client-oriented mindset. Must be authorized to work in the United States and meet the eligibility requirements for a Public Trust clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $120,000 - $150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
11/12/2026
Full time
Job Description Job Description Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for an AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You'll apply foundational AI skills to build and deploy data-driven solutions. Under mentorship from senior AI leaders, you'll drive agentic AI development lifecycles and collaborate across engineering, data, and stakeholder teams to deliver high-impact, cloud-native AI capabilities that advance federal missions. Responsibilities include, but are not limited to the duties listed below Generative AI & LLM Usage Contribute to projects using generative AI and LLMs, helping to prototype, customize, and refine AI powered capabilities. Agentic AI System Development Support end-to-end AI development: model selection, agent creation, tool calling, response synthesis, and ambient background agents. AI Software Engineer Maintain strong software engineering principles while leveraging the latest advancements in AI code generation to accelerate your workflows. Collaborative Engineering Work alongside data engineers, software engineers, and data scientists to develop operational agent AI systems. Cloud Enablement Help automate model deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, and container orchestration tools. Production Monitoring & Optimization Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability. Technical Rigor & Documentation Write clean, well-documented code following industry and federal guidelines; support reproducible development. Professional Growth Stay current on AI/ML trends and tools and actively learn from senior team members through mentorship and technical design reviews. Requirements What You Bring Bachelor's or Master's in Computer Science, AI/ML, or a related field. 3-7 years of hands-on experience delivering AI/ML solutions. Experience in generative AI, working with LLMs, and adding tool calls (MCP) Experience with agentic frameworks such as Agent2Agent Protocol, Mastra, Strands, AgentCore, and/or Gemini Agent Platform. Deep understanding of AI APIs such as OpenAI, Anthropic, Gemini, Bedrock Typescript proficiency and familiarity with key libraries and frameworks (Nx, NextJS, Mastra, Vercel AI SDK, Playwright, Jest, Vite) Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). Experience deploying applications using cloud platforms (AWS, GCP) and container tools (Docker, Kubernetes). Familiarity with CI/CD pipelines (GitLab CI) Experience with AI coding tools (Claude Code, Codex, Antigravity). Strong communication skills and client-oriented mindset. Must be authorized to work in the United States and meet the eligibility requirements for a Public Trust clearance. Preferred Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact. Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem. Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications. Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Salary Range: $120,000 - $150,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
Job Description Job Description Description: On-site in Atlanta, GA Our client seeks a hands-on Systems Engineer to design, integrate, deploy, and support complex railroad technology systems that combine electrical hardware, embedded computing, software, cameras, sensors, networking, machine learning, servers, and physical infrastructure. The role bridges hardware, software, data science, solution architecture, field operations, and customer needs to deliver reliable operational solutions in railroad environments. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $55.00 to $60.00/hr. w2 Responsibilities: Design and integrate end-to-end systems spanning electrical, mechanical, embedded, software, networking, sensing, AI, and field infrastructure components. Translate operational needs into architectures, requirements, interfaces, implementation plans, and integration strategies. Integrate electronics, PCBs, embedded computers, cameras, sensors, networking equipment, servers, software, and AI models into deployed systems. Identify risks, dependencies, and integration challenges. Troubleshoot failures across hardware, firmware, software, networking, sensing, AI, and field conditions. Collaborate with solution architects, software engineers, data scientists, electrical engineers, IT and cybersecurity teams, DevSecOps, field personnel, and systems engineers. Develop, configure, integrate, and troubleshoot embedded computing systems and hardware or software interfaces. Write and maintain C++ and Python software, scripts, and tools for control, acquisition, communications, diagnostics, testing, configuration, deployment, and monitoring. Analyze system behavior to isolate integration issues and performance bottlenecks across application, embedded, and system layers. Support integration of machine learning and computer vision models with reliable sensor and image data capture, processing, and delivery. Determine root causes of field performance issues across sensing, data quality, model performance, software, hardware, networking, or integration. Design, integrate, and troubleshoot field-deployed electrical and electronic systems including power, sensors, communications, embedded computing, and PCBs. Read schematics, PCB documentation, datasheets, drawings, and specifications. Select components per electrical, environmental, performance, and operational needs. Integrate cameras, lenses, lighting, image acquisition, optics, sensors, and related equipment for machine vision and inspection. Evaluate camera placement, mounting, field of view, resolution, exposure, lighting, image quality, environmental effects, and data suitability for computer vision and AI. Design, configure, deploy, and troubleshoot servers, switches, routers, wireless equipment, edge platforms, IP networks, distributed communications, databases, cloud interfaces, and enterprise connections. Develop practical solutions for environments with connectivity constraints and exposure to weather, vibration, temperature, and lighting. Deploy, commission, validate, test, and troubleshoot systems in labs, test tracks, trackside locations, rail yards, maintenance facilities, and other railroad settings. Analyze operational data, logs, sensor information, images, and diagnostics to assess performance and isolate failures. Develop procedures and tools that simplify installation, configuration, testing, maintenance, troubleshooting, and deployment. Apply engineering principles to track inspection, rolling stock inspection, train and car identification, rail-yard operations, automated monitoring, safety, maintenance, efficiency, and operational awareness. Travel to field locations as needed. Experience Requirements: Experience developing, integrating, or troubleshooting complex hardware and software systems. Working knowledge of C++ and Python. Ability to troubleshoot systems involving hardware, software, embedded computing, networking, sensors, and field equipment. Understanding of electrical and electronic fundamentals including sensors, signals, power, digital or analog I/O, embedded systems, and components. Ability to read schematics, technical drawings, datasheets, and system documentation. Understanding of computer networking fundamentals, IP networking, and networked devices. Strong analytical, communication, collaboration, and hands-on problem-solving skills in lab and field environments. Ability and desire to work across disciplines and learn new technologies. Preferred: experience with robotics, mechatronics, autonomous systems, drones, industrial automation, motion systems, or physical system integration. Preferred: experience with computer vision, machine learning, cameras, optics, lighting, image acquisition, sensor fusion, localization, tracking, or perception systems. Preferred: experience with PCB and electronics design, wiring, hardware development, microcontrollers, embedded processors, edge platforms, embedded Linux, or other embedded OS. Preferred: experience with Linux servers, industrial networking, protocols, databases, SQL, Docker, containers, virtualization, Git, CI/CD, DevSecOps, automated deployment, real-time systems, or HPC. Preferred: experience in outdoor, industrial, transportation, railroad, or other demanding physical environments. Education Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, a related engineering discipline, or equivalent relevant experience. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. . click apply for full job details
11/12/2026
Full time
Job Description Job Description Description: On-site in Atlanta, GA Our client seeks a hands-on Systems Engineer to design, integrate, deploy, and support complex railroad technology systems that combine electrical hardware, embedded computing, software, cameras, sensors, networking, machine learning, servers, and physical infrastructure. The role bridges hardware, software, data science, solution architecture, field operations, and customer needs to deliver reliable operational solutions in railroad environments. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $55.00 to $60.00/hr. w2 Responsibilities: Design and integrate end-to-end systems spanning electrical, mechanical, embedded, software, networking, sensing, AI, and field infrastructure components. Translate operational needs into architectures, requirements, interfaces, implementation plans, and integration strategies. Integrate electronics, PCBs, embedded computers, cameras, sensors, networking equipment, servers, software, and AI models into deployed systems. Identify risks, dependencies, and integration challenges. Troubleshoot failures across hardware, firmware, software, networking, sensing, AI, and field conditions. Collaborate with solution architects, software engineers, data scientists, electrical engineers, IT and cybersecurity teams, DevSecOps, field personnel, and systems engineers. Develop, configure, integrate, and troubleshoot embedded computing systems and hardware or software interfaces. Write and maintain C++ and Python software, scripts, and tools for control, acquisition, communications, diagnostics, testing, configuration, deployment, and monitoring. Analyze system behavior to isolate integration issues and performance bottlenecks across application, embedded, and system layers. Support integration of machine learning and computer vision models with reliable sensor and image data capture, processing, and delivery. Determine root causes of field performance issues across sensing, data quality, model performance, software, hardware, networking, or integration. Design, integrate, and troubleshoot field-deployed electrical and electronic systems including power, sensors, communications, embedded computing, and PCBs. Read schematics, PCB documentation, datasheets, drawings, and specifications. Select components per electrical, environmental, performance, and operational needs. Integrate cameras, lenses, lighting, image acquisition, optics, sensors, and related equipment for machine vision and inspection. Evaluate camera placement, mounting, field of view, resolution, exposure, lighting, image quality, environmental effects, and data suitability for computer vision and AI. Design, configure, deploy, and troubleshoot servers, switches, routers, wireless equipment, edge platforms, IP networks, distributed communications, databases, cloud interfaces, and enterprise connections. Develop practical solutions for environments with connectivity constraints and exposure to weather, vibration, temperature, and lighting. Deploy, commission, validate, test, and troubleshoot systems in labs, test tracks, trackside locations, rail yards, maintenance facilities, and other railroad settings. Analyze operational data, logs, sensor information, images, and diagnostics to assess performance and isolate failures. Develop procedures and tools that simplify installation, configuration, testing, maintenance, troubleshooting, and deployment. Apply engineering principles to track inspection, rolling stock inspection, train and car identification, rail-yard operations, automated monitoring, safety, maintenance, efficiency, and operational awareness. Travel to field locations as needed. Experience Requirements: Experience developing, integrating, or troubleshooting complex hardware and software systems. Working knowledge of C++ and Python. Ability to troubleshoot systems involving hardware, software, embedded computing, networking, sensors, and field equipment. Understanding of electrical and electronic fundamentals including sensors, signals, power, digital or analog I/O, embedded systems, and components. Ability to read schematics, technical drawings, datasheets, and system documentation. Understanding of computer networking fundamentals, IP networking, and networked devices. Strong analytical, communication, collaboration, and hands-on problem-solving skills in lab and field environments. Ability and desire to work across disciplines and learn new technologies. Preferred: experience with robotics, mechatronics, autonomous systems, drones, industrial automation, motion systems, or physical system integration. Preferred: experience with computer vision, machine learning, cameras, optics, lighting, image acquisition, sensor fusion, localization, tracking, or perception systems. Preferred: experience with PCB and electronics design, wiring, hardware development, microcontrollers, embedded processors, edge platforms, embedded Linux, or other embedded OS. Preferred: experience with Linux servers, industrial networking, protocols, databases, SQL, Docker, containers, virtualization, Git, CI/CD, DevSecOps, automated deployment, real-time systems, or HPC. Preferred: experience in outdoor, industrial, transportation, railroad, or other demanding physical environments. Education Requirements: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, a related engineering discipline, or equivalent relevant experience. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. . click apply for full job details
Job Description Job Description Data Scientist - Senior - Clearance Required: TS/SCI Dayton, Ohio - 100% onsite Position Overview The Senior Data Scientist applies advanced data engineering, computational programming, and statistical modeling capabilities to develop and deploy data-driven intelligence solutions. Operating on-site under minimal oversight within the National Air and Space Intelligence Center (NASIC), this role supports the Technology, Data, and Assessment Division (A9A) of the Future Capabilities & Assessment Directorate (NASIC/A9). The Senior Data Scientist focuses on the hands-on engineering of Intelligent Automation, Artificial Intelligence, and Machine Learning (IA/AI/ML) workflows against complex intelligence datasets. This role is responsible for converting advanced algorithmic models into scalable software factory outputs, creating intuitive analytical dashboards, and ensuring all mathematical solutions securely integrate within the NASIC Unified Cloud (NUC) infrastructure. Core Responsibilities Advanced AI/ML Coding & Modeling: Performs hands-on software script writing, data modeling, and code modifications to deploy specialized IA/AI/ML techniques, predictive algorithms, and statistical models. Analytical Transformation & Dashboarding: Translates intricate data structures and statistical outputs into actionable insights and dashboards, allowing non-technical mission partners and analysts to easily interpret mission-critical trends. Data Strategy & Infrastructure Integration: Implements data strategies, data flow structures, and cloud architecture requirements to integrate data processing pipelines into modern Zero Trust Architecture (ZTA) frameworks. Reporting & Documentation Support: Actively drafts technical content for the monthly Data Science & Analytics Progress Report, accurately measuring algorithm velocity, documentation compliance, and ingestion metrics. Technology Scouting & Prototyping: Assists senior technical leads in technology scouting and evaluations of emerging commercial cloud analytics capabilities. Runs pilot software scripts within non-production environments to determine technical viability. Cross-Functional Collaboration: Partners closely with software engineers, database administrators, and Group product owners to trace requirements and maintain standardized data governance rules across sprint cycles. Qualifications & Experience Required: Education & Experience: Bachelor's degree and 10 years of experience OR a Master's degree and 8 years of experience in Data Science, Computer Science, Statistics, Mathematics, or a related computational field. Technical Expertise: Extensive experience processing large-scale datasets, modifying algorithmic software code from technical specifications, and applying advanced analytical strategies with minimal oversight. Strong background using Python, R, and automated pipeline tools inside secure cloud infrastructure (such as DAF Cloudworks). Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Demonstrated capability ensuring all code developments comply with strict DoD and Air Force IT standards. Desired: NASIC Experience: NASIC experience highly desired, not mandatory.
11/11/2026
Full time
Job Description Job Description Data Scientist - Senior - Clearance Required: TS/SCI Dayton, Ohio - 100% onsite Position Overview The Senior Data Scientist applies advanced data engineering, computational programming, and statistical modeling capabilities to develop and deploy data-driven intelligence solutions. Operating on-site under minimal oversight within the National Air and Space Intelligence Center (NASIC), this role supports the Technology, Data, and Assessment Division (A9A) of the Future Capabilities & Assessment Directorate (NASIC/A9). The Senior Data Scientist focuses on the hands-on engineering of Intelligent Automation, Artificial Intelligence, and Machine Learning (IA/AI/ML) workflows against complex intelligence datasets. This role is responsible for converting advanced algorithmic models into scalable software factory outputs, creating intuitive analytical dashboards, and ensuring all mathematical solutions securely integrate within the NASIC Unified Cloud (NUC) infrastructure. Core Responsibilities Advanced AI/ML Coding & Modeling: Performs hands-on software script writing, data modeling, and code modifications to deploy specialized IA/AI/ML techniques, predictive algorithms, and statistical models. Analytical Transformation & Dashboarding: Translates intricate data structures and statistical outputs into actionable insights and dashboards, allowing non-technical mission partners and analysts to easily interpret mission-critical trends. Data Strategy & Infrastructure Integration: Implements data strategies, data flow structures, and cloud architecture requirements to integrate data processing pipelines into modern Zero Trust Architecture (ZTA) frameworks. Reporting & Documentation Support: Actively drafts technical content for the monthly Data Science & Analytics Progress Report, accurately measuring algorithm velocity, documentation compliance, and ingestion metrics. Technology Scouting & Prototyping: Assists senior technical leads in technology scouting and evaluations of emerging commercial cloud analytics capabilities. Runs pilot software scripts within non-production environments to determine technical viability. Cross-Functional Collaboration: Partners closely with software engineers, database administrators, and Group product owners to trace requirements and maintain standardized data governance rules across sprint cycles. Qualifications & Experience Required: Education & Experience: Bachelor's degree and 10 years of experience OR a Master's degree and 8 years of experience in Data Science, Computer Science, Statistics, Mathematics, or a related computational field. Technical Expertise: Extensive experience processing large-scale datasets, modifying algorithmic software code from technical specifications, and applying advanced analytical strategies with minimal oversight. Strong background using Python, R, and automated pipeline tools inside secure cloud infrastructure (such as DAF Cloudworks). Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Demonstrated capability ensuring all code developments comply with strict DoD and Air Force IT standards. Desired: NASIC Experience: NASIC experience highly desired, not mandatory.
Job Description Job Description Job Title: SME Network Autonomy Duration- Fulltime Permanent Location: Atlanta, GA - Remote Job Description:- Skills: Autonomous Networks Infrastructure as Code Digital Twins for network Network as a Service (NaaS), API Engineering, API driven Networks Data models (YANG, JSON, gNMI) Closed Loop Automation BGP, OSPF, MPLS, VXLAN, and SD WAN CI/CD, DevOps Python (preferred), Go, or C TensorFlow or PyTorch Must Have Technical/Functional Skills Networking Expertise Deep protocol level knowledge of BGP, OSPF, MPLS, VXLAN, and SD WAN Experience operating and troubleshooting carrier grade or hyperscale networks AI/ML & GenAI Hands on experience applying AI/ML models to networking use cases (e.g., time series forecasting, anomaly detection) Familiarity with ML frameworks such as TensorFlow or PyTorch Software & Automation Expert proficiency in Python (preferred), Go, or C Strong experience with CI/CD pipelines and DevOps practices Extensive use of Ansible and Terraform for network automation Cloud Native Networking Experience managing network functions in Kubernetes environments (CNI plugins) Hands on exposure to public cloud networking across AWS, Azure, and GCP. Roles & Responsibilities The Senior Network Autonomy Lead will define and execute the vision for next generation autonomous networks. The role is responsible for overall architecture design, AI/ML platform selection, and the delivery of closed loop automation systems that proactively predict failures, dynamically optimize traffic, and autonomously mitigate security threats. You will lead cross functional teams spanning networking, data science, software engineering, and cloud platforms to operationalize autonomy at scale across multi vendor and hybrid environments. Generic Managerial Skills, If any Strategic Vision & Roadmap Define and own a multi year roadmap for network autonomy, spanning Autonomy Levels 0 through to Level 5 Drive the organizational transition from Infrastructure as Code (IaC) to Intent Based Networking (IBN) Evaluate, pilot, and integrate advanced technologies such as Digital Twins for network modeling, simulation, and optimization Establish KPIs and success metrics for autonomy maturity, resiliency, and operational efficiency 2. Technical & Architecture Leadership Architect and oversee AI/ML driven platforms for predictive maintenance, anomaly detection, and root cause analysis Lead the design and implementation of closed loop automation systems where networks observe, decide, and act without human intervention Standardize and govern telemetry, APIs, and data models (YANG, JSON, gNMI) across multi vendor domains Ensure scalability, resilience, and security of autonomous control loops in production environments 3. Cross Functional Leadership Lead and mentor senior engineers, architects, and data scientist Partner with security, cloud, and platform teams to embed autonomy across the infrastructure stack Influence product, procurement, and vendor ecosystems to align with the autonomy vision
11/06/2026
Full time
Job Description Job Description Job Title: SME Network Autonomy Duration- Fulltime Permanent Location: Atlanta, GA - Remote Job Description:- Skills: Autonomous Networks Infrastructure as Code Digital Twins for network Network as a Service (NaaS), API Engineering, API driven Networks Data models (YANG, JSON, gNMI) Closed Loop Automation BGP, OSPF, MPLS, VXLAN, and SD WAN CI/CD, DevOps Python (preferred), Go, or C TensorFlow or PyTorch Must Have Technical/Functional Skills Networking Expertise Deep protocol level knowledge of BGP, OSPF, MPLS, VXLAN, and SD WAN Experience operating and troubleshooting carrier grade or hyperscale networks AI/ML & GenAI Hands on experience applying AI/ML models to networking use cases (e.g., time series forecasting, anomaly detection) Familiarity with ML frameworks such as TensorFlow or PyTorch Software & Automation Expert proficiency in Python (preferred), Go, or C Strong experience with CI/CD pipelines and DevOps practices Extensive use of Ansible and Terraform for network automation Cloud Native Networking Experience managing network functions in Kubernetes environments (CNI plugins) Hands on exposure to public cloud networking across AWS, Azure, and GCP. Roles & Responsibilities The Senior Network Autonomy Lead will define and execute the vision for next generation autonomous networks. The role is responsible for overall architecture design, AI/ML platform selection, and the delivery of closed loop automation systems that proactively predict failures, dynamically optimize traffic, and autonomously mitigate security threats. You will lead cross functional teams spanning networking, data science, software engineering, and cloud platforms to operationalize autonomy at scale across multi vendor and hybrid environments. Generic Managerial Skills, If any Strategic Vision & Roadmap Define and own a multi year roadmap for network autonomy, spanning Autonomy Levels 0 through to Level 5 Drive the organizational transition from Infrastructure as Code (IaC) to Intent Based Networking (IBN) Evaluate, pilot, and integrate advanced technologies such as Digital Twins for network modeling, simulation, and optimization Establish KPIs and success metrics for autonomy maturity, resiliency, and operational efficiency 2. Technical & Architecture Leadership Architect and oversee AI/ML driven platforms for predictive maintenance, anomaly detection, and root cause analysis Lead the design and implementation of closed loop automation systems where networks observe, decide, and act without human intervention Standardize and govern telemetry, APIs, and data models (YANG, JSON, gNMI) across multi vendor domains Ensure scalability, resilience, and security of autonomous control loops in production environments 3. Cross Functional Leadership Lead and mentor senior engineers, architects, and data scientist Partner with security, cloud, and platform teams to embed autonomy across the infrastructure stack Influence product, procurement, and vendor ecosystems to align with the autonomy vision
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
09/28/2026
Full time
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. This is a leadership-leaning role with real engineering teeth: you'll mentor engineers, unblock execution, set technical direction, and quietly hold the line on quality across the platform. Responsibilities Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down complex work into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Strong customer-service orientation. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Familiarity with enterprise-scale software deployment architectures. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Experience with frontend UI development. Production-grade software development experience in Java and Python. Experience productizing software as containers with Docker/Kubernetes. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
09/26/2026
Full time
Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. This is a leadership-leaning role with real engineering teeth: you'll mentor engineers, unblock execution, set technical direction, and quietly hold the line on quality across the platform. Responsibilities Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down complex work into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Strong customer-service orientation. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Familiarity with enterprise-scale software deployment architectures. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Experience with frontend UI development. Production-grade software development experience in Java and Python. Experience productizing software as containers with Docker/Kubernetes. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. You'll also contribute to the MI team as a systems engineer, software engineer, and analytic developer - designing, developing, and integrating solutions that involve the analysis of large data sets to establish operational visibility and deliver actionable insights. Responsibilities Develop analytics to combine, normalize, and enrich large data sets. Design and implement ETL workflows to convert and normalize data. Augment the platform with new tools or technologies. Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down tasks into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Experience supporting enterprise-scale platforms. Strong Java development skills. Familiarity with authentication and authorization platforms and standards. Experience with service containerization and deployment with Docker/Kubernetes. Familiarity with Git for software version control. Experience with Atlassian Tools (Jira, Confluence). Customer-service mindset. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Python experience. Prior experience in cyber operations or capability development. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
09/26/2026
Full time
Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. You'll also contribute to the MI team as a systems engineer, software engineer, and analytic developer - designing, developing, and integrating solutions that involve the analysis of large data sets to establish operational visibility and deliver actionable insights. Responsibilities Develop analytics to combine, normalize, and enrich large data sets. Design and implement ETL workflows to convert and normalize data. Augment the platform with new tools or technologies. Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down tasks into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Experience supporting enterprise-scale platforms. Strong Java development skills. Familiarity with authentication and authorization platforms and standards. Experience with service containerization and deployment with Docker/Kubernetes. Familiarity with Git for software version control. Experience with Atlassian Tools (Jira, Confluence). Customer-service mindset. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Python experience. Prior experience in cyber operations or capability development. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
