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 At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. Atom Computing is seeking an Infrastructure Engineer to enhance our software development workflows and maintain the critical infrastructure that powers our quantum computer. In this role, you'll work across the entire stack, enabling engineers and physicists to seamlessly deploy software and operate the system with reliability and efficiency. Our environment combines both on-premises and cloud infrastructure, requiring innovative approaches to managing and scaling each. You'll collaborate closely with a talented, tight-knit team of engineers and physicists, reporting to the Software Engineering Manager. Due to the mix of on-prem and cloud infrastructure, this role is required to be in the office in Boulder at least 3 days per week. Job Responsibilities: Administer and maintain a fleet of on-premise Linux servers (and a few Windows VMs) to ensure reliable and performant operation of the quantum computing environment. Design and implement automated workflows for managing and scaling cloud and on-premise infrastructure. Build and optimize monitoring, alerting, and performance metrics systems to support both development and production environments. Collaborate with engineering teams to streamline CI/CD pipelines and improve deployment efficiency. Experience & Education BS or MS in Computer Science, Computer Engineering, or equivalent on-the-job experience. 5+ years of post-degree professional experience maintaining large scale distributed systems. Qualifications Strong understanding of cloud deployment and infrastructure management using Azure, AWS or GCP. Experience with on-premise hardware services, including virtualization and containerization management solutions such as Proxmox VE, Docker and Podman. Solid knowledge of CI/CD pipelines using GitLab CI/CD or GitHub Actions. Ability to optimize and tune on-premise hardware for performance and low latency using tools such as perf, systemd-analyze, iostat, and tuning profiles. Proficiency in designing and implementing metrics, monitoring, and alerting pipelines using Datadog, Grafana, or other observability tools. Skilled in architecting infrastructure workflows with tools such as Terraform, Ansible, Helm, or Kubernetes. Nice to Haves Building and scaling a developer operations team, including workflow automation, access management, and infrastructure-as-code practices. Having managed and optimized databases either in the cloud or on-site. Familiarity and experience implementing security best practices. Having set up or configured networks, both physical and virtual. Interfacing with and controlling cameras, motors, lasers, and other third party devices. Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, we offer unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The salary range for this position is between $165,000 - $200,000, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/12/2026
Full time
Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. Atom Computing is seeking an Infrastructure Engineer to enhance our software development workflows and maintain the critical infrastructure that powers our quantum computer. In this role, you'll work across the entire stack, enabling engineers and physicists to seamlessly deploy software and operate the system with reliability and efficiency. Our environment combines both on-premises and cloud infrastructure, requiring innovative approaches to managing and scaling each. You'll collaborate closely with a talented, tight-knit team of engineers and physicists, reporting to the Software Engineering Manager. Due to the mix of on-prem and cloud infrastructure, this role is required to be in the office in Boulder at least 3 days per week. Job Responsibilities: Administer and maintain a fleet of on-premise Linux servers (and a few Windows VMs) to ensure reliable and performant operation of the quantum computing environment. Design and implement automated workflows for managing and scaling cloud and on-premise infrastructure. Build and optimize monitoring, alerting, and performance metrics systems to support both development and production environments. Collaborate with engineering teams to streamline CI/CD pipelines and improve deployment efficiency. Experience & Education BS or MS in Computer Science, Computer Engineering, or equivalent on-the-job experience. 5+ years of post-degree professional experience maintaining large scale distributed systems. Qualifications Strong understanding of cloud deployment and infrastructure management using Azure, AWS or GCP. Experience with on-premise hardware services, including virtualization and containerization management solutions such as Proxmox VE, Docker and Podman. Solid knowledge of CI/CD pipelines using GitLab CI/CD or GitHub Actions. Ability to optimize and tune on-premise hardware for performance and low latency using tools such as perf, systemd-analyze, iostat, and tuning profiles. Proficiency in designing and implementing metrics, monitoring, and alerting pipelines using Datadog, Grafana, or other observability tools. Skilled in architecting infrastructure workflows with tools such as Terraform, Ansible, Helm, or Kubernetes. Nice to Haves Building and scaling a developer operations team, including workflow automation, access management, and infrastructure-as-code practices. Having managed and optimized databases either in the cloud or on-site. Familiarity and experience implementing security best practices. Having set up or configured networks, both physical and virtual. Interfacing with and controlling cameras, motors, lasers, and other third party devices. Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, we offer unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The salary range for this position is between $165,000 - $200,000, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Why LeoLabs? At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions. We're not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations. If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here. LeoLabs is seeking a Senior Radar Software Engineer to develop, integrate, and optimize software systems supporting advanced radar operations and space domain awareness missions. This role will work closely with radar systems engineers, signal processing engineers, data scientists, and software developers to deliver high-performance radar capabilities that support mission-critical customer requirements. The ideal candidate has experience developing software for radar, sensor, defense, aerospace, or real-time data processing systems and enjoys solving complex technical challenges in a fast-paced environment. This is a remote position requiring occasional onsite travel, typically for up to one week at a time. Responsibilities Design, develop, test, and maintain software supporting radar data collection, processing, analysis, and operational deployment. Develop interfaces and services supporting sensor operations, telemetry, data management, and mission execution. Develop scalable and reliable software solutions for radar control, monitoring, automation, and performance optimization. Collaborate with radar systems, signal processing, infrastructure, and operations teams to integrate new capabilities into operational environments. Support software architecture development and technical design reviews. Participate in system integration, verification, validation, and field testing activities. Troubleshoot operational issues and support root-cause analysis for software and system anomalies. Contribute to software development best practices, code reviews, and technical documentation. Support customer demonstrations, technical briefings, and operational readiness activities as needed. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline. 7+ years of professional software engineering experience. Strong programming experience in Python, C++, or similar languages. Experience designing and developing distributed systems, APIs, and data-intensive applications. Experience with Linux-based development environments. Familiarity with software testing, CI/CD pipelines, and DevOps practices. Strong problem-solving skills and ability to work effectively in multidisciplinary engineering teams. Eligibility to obtain and maintain a U.S. Personnel Security Clearance. Preferred Qualifications Experience with radar systems, RF systems, signal processing, or sensor data processing applications. Experience supporting U.S. Department of Defense, Intelligence Community, or Space Force programs. Experience working with bare-metal systems Familiarity working in constrained compute environments Experience working with large-scale telemetry, tracking, or real-time data processing systems. Active U.S. Secret or Top Secret Personnel Security Clearance. Experience supporting classified programs and secure computing environments. Compensation The base salary range for this position is $173,800 + bonus + stock options + benefits Compensation Note: The salary range for this position is benchmarked based on the designated primary work location for the role. Final compensation may vary depending on the selected candidate's work location, applicable market data, experience, qualifications, and other job-related factors. Perks and Benefits Global workforce: flexible remote/hybrid opportunities Work on complex, meaningful missions with real-world impact Unlimited paid time off for most roles Competitive salary and equity packages Comprehensive health, dental, and vision coverage Access to the forefront of commercial space operations and defense innovation ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S. Department of State. More information regarding ITAR can be found at DDTC's website. Vendor Notification LeoLabs does not engage external staffing agencies or third-party recruiting firms for this role. Unsolicited candidate submissions will not be considered. We are committed to maintaining a respectful and inclusive workplace where employees are valued for their skills, experience, and contributions. We are an equal opportunity employer and make employment decisions based on qualifications, skills, experience, and business needs, consistent with applicable law. Accuracy of Application Information. LEOLABS requires applicants to provide truthful, accurate, and complete information throughout the hiring process, including in applications, résumés, interviews, and supporting materials. This requirement expressly includes representations concerning security clearance status, level, eligibility, and access. LEOLABS may verify such information through appropriate authorized channels. Any intentional falsification, material misrepresentation, or deliberate omission of material information will result in disqualification from further consideration or withdrawal of an employment offer and, if discovered after employment begins, may result in termination, subject to applicable law.
11/12/2026
Full time
Job Description Job Description Why LeoLabs? At LeoLabs, we're building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions. We're not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations. If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here. LeoLabs is seeking a Senior Radar Software Engineer to develop, integrate, and optimize software systems supporting advanced radar operations and space domain awareness missions. This role will work closely with radar systems engineers, signal processing engineers, data scientists, and software developers to deliver high-performance radar capabilities that support mission-critical customer requirements. The ideal candidate has experience developing software for radar, sensor, defense, aerospace, or real-time data processing systems and enjoys solving complex technical challenges in a fast-paced environment. This is a remote position requiring occasional onsite travel, typically for up to one week at a time. Responsibilities Design, develop, test, and maintain software supporting radar data collection, processing, analysis, and operational deployment. Develop interfaces and services supporting sensor operations, telemetry, data management, and mission execution. Develop scalable and reliable software solutions for radar control, monitoring, automation, and performance optimization. Collaborate with radar systems, signal processing, infrastructure, and operations teams to integrate new capabilities into operational environments. Support software architecture development and technical design reviews. Participate in system integration, verification, validation, and field testing activities. Troubleshoot operational issues and support root-cause analysis for software and system anomalies. Contribute to software development best practices, code reviews, and technical documentation. Support customer demonstrations, technical briefings, and operational readiness activities as needed. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline. 7+ years of professional software engineering experience. Strong programming experience in Python, C++, or similar languages. Experience designing and developing distributed systems, APIs, and data-intensive applications. Experience with Linux-based development environments. Familiarity with software testing, CI/CD pipelines, and DevOps practices. Strong problem-solving skills and ability to work effectively in multidisciplinary engineering teams. Eligibility to obtain and maintain a U.S. Personnel Security Clearance. Preferred Qualifications Experience with radar systems, RF systems, signal processing, or sensor data processing applications. Experience supporting U.S. Department of Defense, Intelligence Community, or Space Force programs. Experience working with bare-metal systems Familiarity working in constrained compute environments Experience working with large-scale telemetry, tracking, or real-time data processing systems. Active U.S. Secret or Top Secret Personnel Security Clearance. Experience supporting classified programs and secure computing environments. Compensation The base salary range for this position is $173,800 + bonus + stock options + benefits Compensation Note: The salary range for this position is benchmarked based on the designated primary work location for the role. Final compensation may vary depending on the selected candidate's work location, applicable market data, experience, qualifications, and other job-related factors. Perks and Benefits Global workforce: flexible remote/hybrid opportunities Work on complex, meaningful missions with real-world impact Unlimited paid time off for most roles Competitive salary and equity packages Comprehensive health, dental, and vision coverage Access to the forefront of commercial space operations and defense innovation ITAR Requirements To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be eligible to obtain the required authorizations from the U.S. Department of State. More information regarding ITAR can be found at DDTC's website. Vendor Notification LeoLabs does not engage external staffing agencies or third-party recruiting firms for this role. Unsolicited candidate submissions will not be considered. We are committed to maintaining a respectful and inclusive workplace where employees are valued for their skills, experience, and contributions. We are an equal opportunity employer and make employment decisions based on qualifications, skills, experience, and business needs, consistent with applicable law. Accuracy of Application Information. LEOLABS requires applicants to provide truthful, accurate, and complete information throughout the hiring process, including in applications, résumés, interviews, and supporting materials. This requirement expressly includes representations concerning security clearance status, level, eligibility, and access. LEOLABS may verify such information through appropriate authorized channels. Any intentional falsification, material misrepresentation, or deliberate omission of material information will result in disqualification from further consideration or withdrawal of an employment offer and, if discovered after employment begins, may result in termination, subject to applicable law.
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 What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an experienced technical leader who can transform large, complex datasets into actionable intelligence, modernize analytic workflows, and develop scalable solutions that directly support enterprise decision-making and mission success. What You'll Be Doing As a Senior Data Scientist, you will develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders. You will design and implement scalable data pipelines, automation strategies, and analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets. Working directly with intelligence professionals, you will apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows. You will leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities. Your work will include designing compelling visualizations and dashboards that communicate complex findings in a clear, actionable manner, enabling mission partners to integrate data-driven insights into daily operations and strategic planning. As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving customer needs. Operating in a fast-paced, mission-focused environment, you will independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives. Through innovation and continuous improvement, you will help advance intelligence capabilities by transforming data into operational advantage. What You Must Have Active TS/SCI clearance (ability to obtain a CI Poly preferred). Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis. Ability to operate independently at a senior level with minimal oversight. Senior-level proficiency in Python and experience developing production-quality analytic applications and automation solutions. Demonstrated proficiency designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries. Experience developing data models, automation workflows, and repeatable analytic processes. Experience creating visualizations, dashboards, and data products that effectively communicate complex analytical findings and support operational decision-making. Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment. Strong understanding of data analysis, statistical methods, and data-driven problem solving. Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences. Familiarity with common Intelligence Community (IC) data repositories. Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders to deliver innovative solutions. Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be Nice to Have Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder. Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools. Experience applying machine learning or artificial intelligence techniques to intelligence problems. Experience working with cloud-based data platforms and distributed computing environments. Experience mentoring junior data scientists or leading technical modernization initiatives. Knowledge of DevSecOps principles and modern software development practices. Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $120,000 - $150,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $120,000-$150,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, 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, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
11/11/2026
Full time
Job Description Job Description What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an experienced technical leader who can transform large, complex datasets into actionable intelligence, modernize analytic workflows, and develop scalable solutions that directly support enterprise decision-making and mission success. What You'll Be Doing As a Senior Data Scientist, you will develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders. You will design and implement scalable data pipelines, automation strategies, and analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets. Working directly with intelligence professionals, you will apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows. You will leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities. Your work will include designing compelling visualizations and dashboards that communicate complex findings in a clear, actionable manner, enabling mission partners to integrate data-driven insights into daily operations and strategic planning. As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving customer needs. Operating in a fast-paced, mission-focused environment, you will independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives. Through innovation and continuous improvement, you will help advance intelligence capabilities by transforming data into operational advantage. What You Must Have Active TS/SCI clearance (ability to obtain a CI Poly preferred). Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis. Ability to operate independently at a senior level with minimal oversight. Senior-level proficiency in Python and experience developing production-quality analytic applications and automation solutions. Demonstrated proficiency designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries. Experience developing data models, automation workflows, and repeatable analytic processes. Experience creating visualizations, dashboards, and data products that effectively communicate complex analytical findings and support operational decision-making. Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment. Strong understanding of data analysis, statistical methods, and data-driven problem solving. Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences. Familiarity with common Intelligence Community (IC) data repositories. Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders to deliver innovative solutions. Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be Nice to Have Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder. Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools. Experience applying machine learning or artificial intelligence techniques to intelligence problems. Experience working with cloud-based data platforms and distributed computing environments. Experience mentoring junior data scientists or leading technical modernization initiatives. Knowledge of DevSecOps principles and modern software development practices. Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. The pay range for this position is: $120,000 - $150,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $120,000-$150,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, 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, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
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.