What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Network Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Seeking an experienced Network Engineer that will be responsible for managing and maintaining the organization's complex and secure network infrastructure. Must have at least 5 years of experience with configuring Cisco IOS and/or Cisco NX-OS in a datacenter environment including experience configuring VLANs, Routing, and security settings.  Experience in top of rack configurations and storage area network configuration is preferred but not required. Has experience with Cisco implementations who can optimize network processing and operations. Ability to work independently as well as be a part of an agile team to transform the client's hybrid cloud platform.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Minimum of 5 years of experience with:
• Configuring Cisco IOS and/or Cisco NX-OS in a data center environment
• Experience with VLANs, routing and security settings
• Cisco implementations, network processing and operations

Senior Machine Learning Engineer

Location: McLean, VA (hybrid); occasional travel to Durham, NC and customer sites 

About CoVar

CoVar is a small AI/ML R&D software company with offices in Durham, NC and McLean, VA, that uses artificial intelligence to solve problems that matter. Our teams build AI/ML solutions that help the DoD detect enemies and threats, help biomedical researchers find new cures, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers dedicated to pushing the bounds of what AI/ML can do in the real world. 

About the Role

We’re seeking a Senior ML Engineer (Technical Lead) with deep hands-on expertise in machine learning and computer vision, who can also lead DoD-focused programs, own customer engagement, contribute to business development, and help grow and manage a local engineering team in McLean over time. You’ll lead end-to-end technical delivery – from data to deployment – while serving as the primary technical point of contact for our customers. 

This role is ideal for someone who enjoys building production-grade ML systems, mentoring engineers, and translating complex technical work into compelling customer outcomes. 

What You’ll Do 

• Lead programs end-to-end: Scope requirements, set technical strategy and milestones, plan resourcing, manage risks, and deliver results for DoD-focused ML/CV projects. 
• Own customer relationships: Run technical discussions, requirement discovery, demos, standing meetings, and briefings with senior stakeholders; turn feedback into clear roadmaps. 
• Stay deeply hands-on (50–70%): 
  • Build data pipelines, train/evaluate CV models, and write production code.
  • Design, train, and optimize detection/segmentation/tracking models and custom computer-vision pipelines; handle imbalanced data, domain shift, and real-world constraints.
  • Deploy models to production (typically on the edge), instrument for monitoring, and iterate with CI/CD.
• Contribute to business development: Write technical sections of proposals/white papers, help shape capture strategy, provide level-of-effort estimates, and present prototypes. 
• Communicate and publish: Present results to high-level DoD and industry customers; author technical reports; publish novel work in classified/unclassified settings when applicable. 

Minimum Qualifications

• Experience: 5+ years designing, building, and deploying machine learning systems in production (8+ preferred). Strong track record leading technical delivery for complex projects. 
• ML/CV expertise: 
  • Deep understanding of ML fundamentals (e.g., gradient descent, cross-validation, ROC/PR curves, confusion matrices, mAP).
  • Computer vision experience with modern architectures (e.g., YOLO family, CenterNet, RetinaNet, Detectron2, ViTs, segmentation networks), augmentation strategies, and evaluation.
  • Experience with data curation/annotation workflows and dataset quality control.
• Software engineering: Python (NumPy, scipy, pandas/polars), PyTorch (preferred) or TensorFlow, git, CI/CD pipelines, automated testing, and code quality practices. 
• MLOps & deployment: Experiment tracking, Docker, ONNX/TensorRT, deploying inference services to the edge (e.g., NVIDIA Jetson). 
• Communication & leadership: Excellent technical communication, customer-facing experience, and proven ability to lead cross-functional efforts. 
• Education: B.S. in engineering, math, computer science, or related field; M.S./Ph.D. preferred. 
• Clearance: Eligibility for U.S. security clearance. This requires U.S. citizenship. 

Preferred Qualifications (Bonus) 

• Prior Department of Defense project experience, including briefing senior stakeholders and navigating DoD acquisition processes. 
• Active Secret or TS/SCI clearance; experience working in classified environments. 
• Experience managing or mentoring engineers; contributing to hiring and performance development.  
• Experience with proposal writing (SBIR/STTR, RFPs), technical volume authorship, and live demos.  
• Experience with multi-sensor fusion, signal-processing, tracking, synthetic data generation, domain adaptation, or semi/active learning for data-limited environments. 
• Familiarity with edge hardware optimization, and performance profiling.  
• Open-source contributions, publications, or patents in ML/CV.

Why This Role Matters 

You’ll be a key technical leader in our McLean office – setting technical direction, building a local team, and ensuring our DoD partners see tangible mission impact from AI/ML solutions. If you thrive in high-impact environments where you can both build and lead, we’d love to talk. 

Benefits

• Competitive salary, cash bonus, equity structure, and 401k with employer contributions
• Excellent health care coverage, including dental and vision plans
• Parental leave
• Short-term and long-term disability insurance
• Life insurance
• Flexible work schedule
• Tuition support
• PTO and paid holidays

Visit us: www.covar.com

Data Scientist - Healthcare Supply Chain Risk

Location: McLean, Virginia

Work Environment: Hybrid

Role Summary:

Exiger is seeking a Data Scientist with expertise in machine learning, NLP/LLMs, and statistical modeling to support mission-critical analytics for public sector customers. This role is ideal for an individual who thrives at the intersection of data science, supply chain risk, and operational decision-making, and can apply advanced analytics to strengthen supply chain resilience, improve risk visibility, and support continuity of operations.

The Data Scientist will develop and operationalize predictive risk models, anomaly detection systems, and supply chain analytics tools, working closely with AI Solutions Engineers and SCRM analysts to ensure seamless integration into customer environments. This individual will also design dashboards and visualizations, conduct large-scale data analysis across supplier networks and product flows, and present actionable insights to operational and leadership stakeholders—aligning advanced analytics with mission outcomes.

What You'll Do:

• Develop and apply machine learning (ML) and NLP/LLM models to support supply chain risk identification, supplier analysis, and operational decision-making.
• Build predictive risk models to identify and prioritize vulnerabilities across products, suppliers, and supply chain dependencies.
• Conduct statistical analysis on large-scale datasets (e.g., supplier data, product/SKU data, logistics and trade data) to identify anomalies, disruptions, and concentration risks.
• Design and implement risk scoring methodologies that incorporate supplier health, geographic exposure, dependency mapping, and external risk signals.
• Support scenario analysis and modeling to assess the impact of supply-side and demand-side disruptions.
• Collaborate with Forward Deployed Engineers to operationalize models within Exiger’s platform and customer workflows.
• Design and maintain dashboards, reports, and data visualizations to communicate insights to both technical and non-technical stakeholders.
• Translate complex analytical outputs into clear, mission-relevant insights for government stakeholders and operational users.
• Partner with SCRM analysts and program leadership to continuously refine models based on real-world risk signals and evolving mission priorities.

What You Need:

• Advanced proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), SQL, and applied statistics.
• Strong background in machine learning, including anomaly detection, classification, clustering, and predictive analytics.
• Experience working with LLMs (development, fine-tuning, or applied use cases such as entity resolution, classification, or text analysis).
• Experience working with large, complex datasets, ideally related to supply chains, logistics, trade, or third-party risk.
• Familiarity with supply chain risk management (SCRM), third-party risk, or related domains (e.g., procurement, logistics, compliance, or healthcare supply chains).
• Experience building and deploying risk models or scoring frameworks in production environments.
• Proficiency in data visualization tools (Tableau, Power BI, matplotlib, seaborn) to deliver actionable insights.
• Strong communication skills with the ability to present technical findings to non-technical, mission-oriented stakeholders.
• Ability to work cross-functionally with engineers, analysts, and program teams in a fast-paced, delivery-focused environment.
• S. citizenship

Nice to Have:

• Experience supporting public sector or government customers.
• Familiarity with healthcare supply chains, medical products, or regulated industries.
• Exposure to graph-based data models, knowledge graphs, or network analysis.
• Experience working with external data sources such as trade data, shipping/logistics data, or corporate entity data.

Why You’ll Love Working at Exiger:

• High-performance culture rooted in accountability, collaboration, and a shared commitment to excellence.
• Discretionary Time Off for all employees, with no maximum limits on time off.
• Industry leading health, vision, and dental benefits.
• Competitive compensation package.
• 16 weeks of fully paid parental leave.
• Flexible, hybrid approach to working from home and in the office where applicable.
• Focus on wellness and employee health through stipends and dedicated wellness programming.
• Purposeful career development programs with reimbursement provided for educational certifications.

#Li-Hybrid

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Senior Software Developer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Tysons, VA. The developer, with a minimum of 10 years’ experience,  will support the full lifecycle development (analyze, design, develop, deploy, maintain) of innovative and interactive web, video and multimedia training products. The individual will be responsible for product research, programming/authoring, interface design, testing and quality control. Products also include web-based training, SharePoint and websites, multimedia applications, video productions, graphic design, and print products.

The ideal candidate requires demonstrated experience with:

• Linux
• Amazon cloud, AWS and use services, like S3 and EC2
• Apache Webserver and Apache Tomcat
• Development languages: Java, PHP, HTML, CSS, MySQL and Javascript
• VS Code
• ·Configuring, implementing, and maintaining the Enterprise Application Auditing Tool, Enterprise Application MFA Solution (OAuth), and RBAC (Role Based Access Control)
• Bash Scripting
• Developing and supporting automation and orchestration processes for IAM services. Understanding of IAM governance frameworks, platforms, RBAC, group policy management, and privileged access management (PAM) tolls.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Demonstrated expertise with AWS infrastructure security and access controls
• Demonstrated expertise adapting equipment and technology to serve user needs and technology design.
• Ability to convey technical information to non-technical individuals to teach navigation of Github, Linux-based OS, and AWS and use services, such as S3 and EC2.
• Demonstrated understanding of software development best practices, including version control, testing, and debugging.
• A bachelor’s degree in computer science, Compute Information Systems, or Computer Engineering with ten (10) years of experience executing software development activities.

What Would Be Nice to Have

• Demonstrated migration experience from on-premises services to the AWS platform using migration tools
• Demonstrated experience maintaining JAVA and PHP applications on Windows
• Demonstrated experience with maven or Gradle
• Demonstrated experience with AWS Secrets Manager
• Three years of experience contributing to software development activities and or projects within the IC 

#LI-BPJ

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Senior Infrastructure Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. As a Senior Infrastructure Engineer, you will play a pivotal role in managing and maintaining the critical infrastructure that supports a datacenter environment. Your responsibilities will include overseeing the operation and optimization of servers, networks, and storage systems to ensure seamless performance and reliability. You will be tasked with configuring and managing Cisco switches and firewalls, as well as working with HPE and Dell servers to deliver robust and scalable solutions. Additionally, you will handle advanced storage systems, including Dell, HPE, and PureStorage Network Attached Storage, ensuring data integrity and accessibility. Your expertise will also be required to manage copper and fiber cabling, ensuring efficient connectivity across the infrastructure.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Experience in a datacenter environment and strong background in data center operations
• Experience in power and cooling capacity management
• Hands-on experience with hardware and network configurations
• Proven track record of managing complex infrastructure environments and a deep understanding of enterprise-grade hardware and networking solutions
• Familiarity with Cisco networking equipment, HPE and Dell hardware, and advanced storage solutions

#LI-BPJ

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Palantir Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment.  The Data Engineer will also integrate with external systems via API, parse API responses into usable data objects, design user interfaces, and develop custom functions with TypeScript. Data Engineer will conduct code reviews, solution brainstorming, and define UI designs and functionalities. Successful candidate must be able to perform tier 2 level triage with customers and translate concerns into specific requirements. Ability to effectively triage requirements and articulate impacts on the existing environment is critical to mission success. Data Engineer will also develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions.

Activities include the following tasks: Movement of structure and unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. Develop code to format data that supports exploration. Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives. Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models. Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards. Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Minimum of 3-5 years’ experience with: 
• Python
• Palantir Foundry
• Palantir Pipeline Builder
• Palantir Workshop
• Typescript

#LI-BPJ

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Mid-Level Systems Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Tysons, VA. The Systems Engineer is responsible the applications infrastructure across all networks. Technical support to make application security compliant. Responsible for tech precepts implementation and contractually responsible to be on call 24/7.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Experience: 2+ years of experience in system engineering, testing, or DevOps roles.
• CI/CD Knowledge: Proven experience configuring CI/CD pipelines and automated testing tools.
• Technical Skills: Strong working knowledge of Linux/Unix, version control (Git), and scripting languages (Python, Bash, or similar).
• Methodology: Familiarity with Agile development practices.
• Education: Bachelor’s degree in STEM field (Science, Technology, Engineering, Math)

What Would Be Nice To Have

• Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with test frameworks 
• Strategic thinking and big-picture perspective.
• Strong time management and organizational skills.
• A passion for IT and continuous learning. 

#LI-BPJ

What Impact You’ll Have:

Our team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers.  We develop new tools, code, and services to execute data engineering activities.  Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations.  You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.

This is a time of development and growth on the program, with an increasing number of missions being supported.  The work is high impact and important, and the customer moves quickly.  The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects.  The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work.  The work space itself is also quite nice, and there is an excellent cafeteria!

The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. 

Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

THE ROLE:

GRVTY is seeking a Full Stack Developer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. The Full Stack Developer participates in development efforts to deliver a complete software solution. This position is for work across the cloud-based software development lifecycle (front end, back end, database, etc.). Design and implement all levels of the solution: data layer, application code, user interface. Design and deliver APIs and integrations with other software systems and databases. Architect for optimal use of enterprise infrastructure (cloud) and security requirements. Experience in the following: Delivering the design and development of software applications. Programming/coding from the data layer through the application layer, through the user interface. Decomposing functional requirements into technical specifications and tasks. Software development frameworks and languages such as JavaScript, TypeScript, React, Python, etc. and data management tools such as SQL and XML. Developing and maintaining unit test scripts. Developing APIs and web services for integration between systems and data sets.

What You’ll Be Owning:

Work with the Chief Engineer and Technical Leads to translate requirements into user stories to incorporate new functionality into various software applications Develop and/or integrate with Infrastructure as Code DevOps tools to support cloud orchestration of software components Leverage AWS best practices to optimize code for cloud deployment with cost-conscious development and deployment strategies. Experience developing front end user interfaces using modern JavaScript frameworks like React.js, HTML, CSS, etc. Experience developing web APIs to interface with cloud applications and databases as part of cloud native software applications Experience working as part of an agile team to deliver software iteratively

What You Must Have:

• Active TS/SCI with Polygraph Clearance
• Minimum of 5-7 years' experience with:
• Application layer programming languages (e.g., Java, C#, C++)
• Database / Data Layer experience (e.g., SQL, unstructured data, MongoDB, Python, R, Elasticsearch, data management and analytics tools)
• Front end development skills (e.g., modern JavaScript frameworks like React.js, HTML, CSS, bootstrap, etc.)
• Experience developing, deploying, and maintaining systems on cloud platforms (e.g., AWS, Azure)
• Experience in Agile / Scrum

#LI-BPJ

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Data & Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA.The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale.

Candidate must have experience:

• Building end-to-end data pipelines leveraging Python
• Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
• Containerizing and deploying applications in cloud environments like AWS.
• Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. 
• Leveraging industry standard tools for code control (Git, IaaC control, etc.)
• Working with data catalogs, tracking data lineage  and handling a variety of data formats, including Geospatial.
• Using Bash scripting for automation and data processing tasks
• Integrating Al/ML services and models

Responsibilities:

• Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
• Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
• Leverage a background in large-scale data migration or platform modernization efforts
• Contribute to data engineering documentation, best practices, and design patterns.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Minimum of 5 years' experience with: 
• Apache Spark & PySpark
• Advanced Python skills (including Pandas & NumPy)
• Docker, Podman
• AWS S3, Lambda & Step functions
• Apache Iceberg, Airflow, etc.
• SQL (with Trino)
• NoSQL, DynamoDB
• Unity Catalog OSS, Apache Polaris
• Apache Superset
• Terraform or CloudFormation
• OpenLineage
• H3, PostGIS

#LI-BPJ

What Impact You'll Have:

Join a mission-focused team where your work directly supports critical national security objectives. We are seeking a Subject Matter Expert (SME) Full Stack Developer to lead the design, development, and delivery of scalable, mission-driven applications within an ML/Ops environment. This role combines deep technical expertise with advanced system-level thinking and close collaboration across engineering, data science, and customer stakeholder teams.

The Full Stack Developer will perform rapid application design, ETL, data analysis, and interpretation while developing rules and methodologies for data collection and analysis. You will architect, develop, and maintain a Python-based data warehouse processing system that serves as the backend for a user-facing application, while also leading development of modern GUI applications using REST APIs and contemporary web frameworks.

You will work closely with data scientists, computer vision engineers, ETL engineers, and intelligence analysts to integrate machine learning capabilities into production systems, enabling scalable model deployment, monitoring, and continuous improvement. This role emphasizes ownership, technical leadership, and delivery of production-ready solutions that operate reliably in dynamic, real-world environments.

What You'll Be Owning:

• Lead and participate in the architectural design of complex features early in the development lifecycle.
• Translate customer requirements and roadmap priorities into technical solutions, tasks, timelines, and resource plans.
• Develop, integrate, and maintain full stack applications supporting ML/Ops pipelines and data-driven systems.
• Design and implement scalable APIs and services to support machine learning model deployment and inference.
• Develop and maintain data pipelines, ETL processes, and data storage solutions for large-scale datasets.
• Collaborate with data scientists and ML engineers to operationalize models within production environments.
• Optimize application and system performance for scalability, reliability, and efficiency, including edge and distributed environments when applicable.
• Conduct peer reviews and establish coding standards to improve overall code quality and maintainability.
• Guide development testing, exploratory testing, automated testing, and validation strategies.
• Own code in production environments, respond to incidents, and lead root cause analysis and continuous improvement efforts.
• Ensure security, compliance, and governance are maintained throughout the development lifecycle.
• Perform technical planning, system integration, verification and validation, and risk assessments across system components.
• Mentor and develop junior and mid-level engineers, fostering technical growth and high-performing teams.
• Drive adoption of modern ML/Ops practices, tools, and automation frameworks across the team.

What You Must Have:

• Active TS/SCI clearance with the ability to obtain a CI poly
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 14+ years of professional experience in full stack software development.
• Expert-level proficiency in Python and object-oriented design patterns.
• Extensive experience developing backend systems, APIs, and data processing pipelines.
• Strong experience with modern web development frameworks, including React.js, Node.js, and/or Electron.
• Deep understanding of data modeling techniques and experience working with large-scale and time series datasets.
• Experience with relational and non-relational databases such as PostgreSQL, MongoDB, and BigQuery.
• Experience building and maintaining RESTful APIs and microservices architectures.
• Experience supporting machine learning workflows, including model integration, deployment, and monitoring.
• Familiarity with ML/Ops tools and utilities such as MLflow, DVC, and/or Optuna.
• Strong experience with Python libraries such as NumPy and Pandas.
• Experience with Python web frameworks such as Flask, FastAPI, Pydantic, Gunicorn, and Uvicorn.
• Experience with containerization and DevOps practices, including Docker and CI/CD pipelines.
• Experience with web servers such as Apache and Nginx.
• Experience working within Agile development environments and using associated tools.

What Would be Nice to Have:

• Experience supporting government or defense-related programs.
• Experience integrating computer vision or machine learning capabilities into operational systems.
• Knowledge of real-time data processing, streaming architectures, or distributed systems.
• Experience with cloud-based ML/Ops environments and infrastructure (AWS, Azure, or Google Cloud Platform).
• Experience with parallelization and multiprocessing frameworks such as Dask.
• Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with remote procedure call technologies such as gRPC and JSON-RPC.

#LI-CM1

TEGNA is seeking an enterprise-focused technology leader to spearhead the development and implementation of advanced AI solutions. This individual will be responsible for incubating ideas, rapid prototyping and validation of emerging technologies, ensuring concepts are effectively transformed into functional solutions. This position centers on enterprise-wide automation thru Agentic AI, aiming to enhance operations across all business and media workflows.

The ideal candidate will possess substantial technical expertise in AI orchestration, distributed systems, and cloud platforms, along with the ability to lead a small, high-performing team within a dynamic, innovation-driven environment.

Responsibilities

• Lead the "innovation lab" for AI. Design modular AI architectures and execute rapid POCs and pilots to validate technical feasibility.
• Lead, mentor, and grow a specialized team of AI engineers. Provide technical guidance, and champion best practices in a matrixed onshore-offshore model.
• Partner with business stakeholders to translate business needs into technical specifications. Evaluate and recommend new technologies—such as LLMs, orchestration frameworks, and vector databases—ensuring alignment with TEGNA’s enterprise architecture and security policies.
• Oversee the design and maintenance of scalable AI pipelines and shared services (prompt libraries, RAG pipelines). Drive automation in AI ops. Oversee the building of efficient, reusable code and APIs for AI model integration and user interfaces for AI-powered features.

Requirements

• 12-15 years in technology leadership, with 2 years specifically focused on AI/automation strategy, architecture, or platform enablement. Proven track record of delivering impactful AI solutions and managing high-performing engineering teams.
• Deep understanding of Generative AI (LLMs, RAG) and Agentic AI (multi-agent systems, autonomous workflows). Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud-native AI platforms (Azure OpenAI, AWS Bedrock, or Google Vertex AI). Advanced SQL and strong Python skills (Pandas, PySpark) for data manipulation and pipeline development.
• Experience with API Development (RESTful, GraphQL) and modern JavaScript frameworks (React, Vue.js, or Angular). Proficiency in MLOps, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation).
• Strong understanding of Agile methodologies, Jira, and version control (Git). Experience managing the end-to-end lifecycle of multiple AI projects from planning to monitoring.
• Exceptional communication and "storytelling" skills to articulate complex AI concepts to both technical and non-technical audiences.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related quantitative field. #LI-MS1