Business Development/Technical Solutions Architect

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Job Order #139

Clearance: TS/SCI CI Poly 

Job Title: Data Engineering Team Lead

Overview

We are seeking an Analytics and Data Engineering Team Lead to support an Intelligence Community client. This role will oversee a team of data engineers and data scientists, modernizing data pipelines and data warehouses while delivering advanced analytics through machine learning, statistical analysis, causal analysis, and modeling and simulation.

Responsibilities

• Lead and collaborate with data engineers, data scientists, analysts, and SMEs to define requirements and communicate results.

• Modernize and maintain data pipelines, data warehouses, and related infrastructure for scalability and reliability.

• Frame and scale data problems; integrate, consolidate, and analyze complex datasets for business analytics.

• Build and validate models using machine learning, simulation, causal, rule-based, and statistical methods.

• Transform data into dashboards, visualizations, and analytic narratives that support decision-making.

• Provide timely analysis and reporting in a fast-paced, client-focused environment.

• Deliver technical and process consulting through standard consulting projects.

• Advise non-technical stakeholders on interpreting and applying data products.

• Manage stakeholder relationships to ensure alignment of analytical solutions with organizational goals.

• Contribute to data engineering and advanced analytics strategy, roadmap, and governance practices.

• Oversee project timelines, deliverables, and resources to ensure quality, budget, and schedule compliance.

• Stay current with advancements in data engineering, analytics, and data science.

• Mentor junior team members across both data engineering and data science disciplines.

Minimum Qualifications

• Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or related quantitative discipline.

• 5–10 years of relevant experience, including at least 2 years leading data engineering or data science teams.

• Proven track record managing and delivering complex data pipelines and analytical projects.

• Hands-on experience with Python and SQL for data pipelines, integration, and analytics.

• Active TS/SCI security clearance with polygraph (or TS/SCI eligible for polygraph).

Preferred Qualifications

• Advanced degree (Master’s or Ph.D.) in a relevant field.

• Strong knowledge of relational databases, optimization, and schema design.

• Experience with ETL/ELT processes and data integration.

• Familiarity with Python data science libraries.

• Experience building dashboards and visualizations using tools such as Tableau, Streamlit, Qlik, Power BI, RShiny, Plotly, or D3.js (Tableau and Streamlit preferred).

• Additional experience with Java, R, or MATLAB.

• Familiarity with predictive analytics and natural language processing (NLP).

Leadership and Interpersonal Skills

• Strong communication skills with non-technical stakeholders.

• Demonstrated ability to mentor junior staff.

• Strong stakeholder management skills.

• Ability to balance technical modernization with analytics delivery.

• Strong analytical and problem-solving skills.

• Detail-oriented and quality-focused.

• Ability to work independently and collaboratively in a fast-paced environment.

Job Order #125

Senior Data Scientist

Location: Atlanta, GA (Hybrid)

About the Role

As a Senior Data Scientist, you will play a critical role in shaping the intelligence layer that powers government-facing digital services. You’ll design and optimize large language model (LLM) features that deliver medically accurate, equitable, and actionable insights to the public. This position combines advanced data science with public health impact, requiring expertise in machine learning, natural language processing, and responsible AI practices.

You’ll work on initiatives such as:

• Architecting LLM-based features that answer broad public health queries using verified content.

• Developing sentiment analysis models to detect health misinformation trends across social media in real time.

• Creating predictive models that transform raw data into actionable insights and alerts.

• Building evaluation frameworks to ensure medical accuracy and fairness in AI responses.

• Designing feedback loops that continuously improve LLM performance and reliability.

Responsibilities

• Influence business and customer experience improvements through applied research.

• Mentor junior Analysts, Engineers, and Scientists.

• Lead small projects or temporary team structures.

• Present statistical and mathematical concepts to non-expert audiences.

• Ensure best practices across programs and projects.

• Build and improve predictive models using diverse data sources.

• Automate feedback loops and create scalable, repeatable data products.

• Review, scale, and enhance operationalized statistical models and algorithms.

• Apply recommendation systems, ML, NLP, statistics, and deep learning methods.

• Participate in technical interviews and candidate evaluations.

Minimum Qualifications

• Bachelor’s degree and 7+ years of experience (or equivalent experience in lieu of degree).

• Proficiency in Python (pandas, scikit-learn, langchain, openai/anthropic libraries).

• Experience with Retrieval Augmented Generation (RAG) pipelines.

• Expertise in vector databases (Pinecone, Weaviate, PostgreSQL with pgvector).

• Strong background in API integration and testing tools (Postman, pytest, FastAPI).

Preferred Qualifications

• Experience with Hugging Face ecosystem (transformers, datasets, evaluate).

• Familiarity with Streamlit or Gradio for rapid prototyping of LLM interfaces.

Benefits

• Company-subsidized health, dental, and vision insurance.

• Flexible PTO.

• 401(k) with employer match.

• Paid parental leave after one year of service.

• Employee Assistance Program.

Job Order #126

Engineering Lead

Location: Atlanta, GA (Hybrid – on-site presence required, with flexibility)

About the Role

As an Engineering Lead, you will shape the technical direction of large-scale programs while gaining exposure to people management. This role combines technical leadership, architecture, and mentorship with cross-functional program delivery. You will be responsible for guiding engineering teams in building secure, scalable, and modern digital ecosystems that support mission-critical services.

You will oversee engineering work across infrastructure-as-code, CI/CD automation, API development, data services, and publishing workflows. The Engineering Lead ensures all solutions align with long-term digital, communication, and security strategies. You will coordinate across modernization teams, translate product needs into technical solutions, and establish engineering standards and DevSecOps practices that improve reliability, performance, and maintainability.

Responsibilities

• Define program scope, schedule, and cost management; communicate delivery requirements to team members.

• Provide coaching and development to engineers, set growth goals, and foster a culture of learning and evolution.

• Mentor one or two engineering teams in technical direction and career development.

• Lead team processes and implement best practices to close gaps.

• Partner with stakeholders to advocate for technical solutions while communicating tradeoffs.

• Develop effective written and presentation skills to describe systems, design decisions, and performance.

• Participate in bid-writing, technical demos, strategic planning, and client-facing communications.

• Present ongoing engineering work, future goals, and risks to leadership and stakeholders.

• Translate and communicate technical challenges and roadmaps to diverse audiences.

• Participate in candidate interviews, technical assessments, and hiring decisions.

• Oversee performance management, timecard reviews, PTO management, and team development.

Minimum Qualifications

• Bachelor’s degree in Computer Science or related field.

• 10+ years of software engineering experience, with 3+ years in technical leadership.

• Expertise in Cloud Architecture (AWS, Azure, GCP) and API design for scalable, secure infrastructure.

• Experience with Content Management Systems (Drupal, WordPress, etc.).

• Strong background in Data Engineering and AI/ML systems, including real-time analytics pipelines, AI-powered features (chatbots, trend detection, content recommendations), and data infrastructure for decision-making.

• Extensive experience in software development, customer interactions, communication, and mentorship.

• Proficiency with Jira, Confluence, requirements buildout, and stakeholder engagement.

Preferred Qualifications

• Experience working with federal government programs.

• Ability to navigate complex stakeholder and political environments.

Job Order #123

Athletic Trainer

Overview

The U.S. Army’s Holistic Health and Fitness (H2F) program is seeking a dedicated and skilled Athletic Trainer to join its rapidly expanding initiative. This is more than just an athletic training role—it’s an opportunity to be part of the Army’s largest human performance optimization effort.

As a key member of an interdisciplinary team, you will help drive measurable outcomes, including improved Army Combat Fitness Test (ACFT) pass rates, reduced musculoskeletal injuries, and enhanced behavioral health. Launched in 2018 and scaled across brigades beginning in 2020, H2F has already been implemented in 45 active-duty brigades, with full expansion to 110 brigades expected by fiscal year 2027.

Essential Functions and Responsibilities

• Collaborate with a diverse team that may include physical therapists, strength and conditioning coaches, dietitians, cognitive performance experts, and occupational therapists.

• Deliver prevention-focused care, acute injury management, and rehabilitation for musculoskeletal injuries.

• Implement performance optimization strategies across the five H2F readiness domains: physical, mental, nutritional, sleep, and spiritual.

• Support unit leaders with evidence-based strategies to reduce injuries, promote recovery, and enhance overall unit readiness.

• Utilize data and tools developed by the Center for Initial Military Training (CIMT) to track and improve performance outcomes.

• Contribute to improved soldier performance, ACFT pass rates, and resilience across the force.

Minimum Requirements

• Degree: Bachelor’s Degree.

• Education: Graduate from a college or university accredited by the Commission on Accreditation of Athletic Training Education (CAATE). Passing score from the Board of Certification (BOC) for Athletic Trainers. National Provider Identifier (NPI).

• Certification: Unrestricted state license/registration/certification in any of the 49 regulated states, the District of Columbia, Puerto Rico, Guam, or the U.S. Virgin Islands. In-state licensure will be required as part of onboarding.

• Experience: At least two years of relevant athletic training work experience within the last three years. Experience working with active populations (e.g., military, high school, collegiate, professional sports, performing arts, occupational health).

• Citizenship: U.S. Citizenship required.

• Credentialing: Ability to pass background check and drug screen. Current physical and immunizations required.

Physical Demands

This is a dynamic, on-site role requiring adaptability in a fast-paced environment. Duties and priorities may shift throughout the workday, and interaction with soldiers during training or recovery is hands-on and proactive. Candidates must be able to lift up to 45 pounds and spend extended time on their feet, outdoors, while carrying supplies.

Job Order #124

Athletic Trainer

Overview

The U.S. Army’s Holistic Health and Fitness (H2F) program is seeking a dedicated and skilled Athletic Trainer to join its rapidly expanding initiative. This is more than just an athletic training role—it’s an opportunity to be part of the Army’s largest human performance optimization effort.

As a key member of an interdisciplinary team, you will help drive measurable outcomes, including improved Army Combat Fitness Test (ACFT) pass rates, reduced musculoskeletal injuries, and enhanced behavioral health. Launched in 2018 and scaled across brigades beginning in 2020, H2F has already been implemented in 45 active-duty brigades, with full expansion to 110 brigades expected by fiscal year 2027.

Essential Functions and Responsibilities

• Collaborate with a diverse team that may include physical therapists, strength and conditioning coaches, dietitians, cognitive performance experts, and occupational therapists.

• Deliver prevention-focused care, acute injury management, and rehabilitation for musculoskeletal injuries.

• Implement performance optimization strategies across the five H2F readiness domains: physical, mental, nutritional, sleep, and spiritual.

• Support unit leaders with evidence-based strategies to reduce injuries, promote recovery, and enhance overall unit readiness.

• Utilize data and tools developed by the Center for Initial Military Training (CIMT) to track and improve performance outcomes.

• Contribute to improved soldier performance, ACFT pass rates, and resilience across the force.

Minimum Requirements

• Degree: Bachelor’s Degree.

• Education: Graduate from a college or university accredited by the Commission on Accreditation of Athletic Training Education (CAATE). Passing score from the Board of Certification (BOC) for Athletic Trainers. National Provider Identifier (NPI).

• Certification: Unrestricted state license/registration/certification in any of the 49 regulated states, the District of Columbia, Puerto Rico, Guam, or the U.S. Virgin Islands. In-state licensure will be required as part of onboarding.

• Experience: At least two years of relevant athletic training work experience within the last three years. Experience working with active populations (e.g., military, high school, collegiate, professional sports, performing arts, occupational health).

• Citizenship: U.S. Citizenship required.

• Credentialing: Ability to pass background check and drug screen. Current physical and immunizations required.

Physical Demands

This is a dynamic, on-site role requiring adaptability in a fast-paced environment. Duties and priorities may shift throughout the workday, and interaction with soldiers during training or recovery is hands-on and proactive. Candidates must be able to lift up to 45 pounds and spend extended time on their feet, outdoors, while carrying supplies.

Job Order #128

Role summary

We are hiring a Senior RPA Developer to design, build, and maintain automation solutions that streamline HR operations. You will lead development of Power Automate and UiPath bots, architect end-to-end integrations, and mentor junior engineers while collaborating with product, design, and operations teams to deliver reliable, secure, and maintainable automation at scale.

What you will do

- Design, develop, test, and maintain RPA solutions using Power Automate and UiPath to automate HR workflows and administrative processes.

- Build front-end interfaces and lightweight apps using PowerApps, HTML, and CSS when required.

- Implement back-end logic and integrations using Python and JavaScript; define and maintain data models and storage components.

- Create and maintain technical artifacts: solution diagrams, process maps, test plans, runbooks, and code documentation.

- Lead unit testing, debugging, and production troubleshooting; ensure quality through peer reviews and automated tests.

- Drive process discovery and automation design sessions with HR SMEs; capture requirements using Task Capture, Visio, and process-mapping tools.

- Mentor and oversee junior RPA developers; review work, share best practices, and support continuous learning.

- Work in Agile teams, participate in sprint planning, and use collaboration tools (Jira, Confluence, MS Teams, Miro/Mural, Smartsheet).

- Ensure solutions meet security, compliance, and federal hiring practice requirements where applicable.

Minimum qualifications

- 6+ years of professional experience in full-stack development, RPA development, or related technical roles.

- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

- Proven hands-on experience delivering RPA solutions with Power Automate and UiPath.

- Proficiency in front-end (HTML, CSS, PowerApps) and back-end (Python, JavaScript) development.

- Strong troubleshooting, debugging, and unit testing skills.

- Experience using MS Visio, MS Excel, Jira, Confluence, and collaboration tools (Teams, Miro/Mural).

- Excellent verbal and written communication; strong teamwork and stakeholder engagement skills.

Preferred qualifications

- Hands-on experience with AWS or other cloud services.

- Familiarity with federal hiring processes and human capital systems.

- Experience with UiPath Task Capture and enterprise RPA governance.

- Prior experience leading small engineering teams or mentoring junior developers.

- Knowledge of automation best practices for security, error handling, logging, and monitoring.

Job Order #129

Role summary

We are seeking a Sr. Software Engineer II to design and deliver secure, scalable solutions that help federal customers modernize missions. You will work across AI/ML pipelines, identity management, and cloud-native systems while partnering with technical leads and senior stakeholders to drive architecture, implementation, and operational excellence.

Responsibilities

• Design, implement, and operationalize end-to-end data and ML pipelines using Python and cloud-native services.

• Deploy, monitor, and maintain Python-native ML workloads in production, ensuring reliability and performance.

• Provide architecture and technical leadership for identity management systems, ensuring secure integration with enterprise environments and compliance with applicable controls.

• Advise program leadership and engage with senior-level federal stakeholders to translate technical tradeoffs into programmatic decisions.

• Build automation for CI/CD, infrastructure provisioning, testing, and observability in classified and unclassified AWS environments.

• Troubleshoot production incidents, perform root-cause analysis, and implement durable fixes to prevent recurrence.

• Mentor engineers, participate in design reviews, and contribute to team engineering practices and documentation.

Minimum qualifications

• 7+ years of professional software engineering experience.

• 6+ years of full-stack engineering experience (database development/integration plus server and client application development/integration).

• 6+ years deploying production enterprise applications on AWS.

• 3+ years of experience with multiple of the following languages and frameworks: Go, Python, Java, JavaScript, TypeScript, React, Angular, Next.js.

• Strong experience designing and deploying large-scale, high-performance data applications in complex, heterogeneous AWS environments.

• Proven experience with automation across CI/CD, infrastructure-as-code, testing, and operational tooling.

• Demonstrated ability to work with AI/ML teams to operationalize models and data pipelines.

• Experience applying security engineering principles to system design and deployments.

Preferred qualifications

• Experience operating in IL6 or other high-impact classified/cloud environments.

• Background integrating and hardening identity and access management solutions for federal customers.

• Hands-on experience with container orchestration (Kubernetes, OpenShift), streaming systems (Kafka, NiFi), and database platforms (Postgres, Oracle, MySQL).

• Experience with observability stacks (Prometheus, Grafana, ELK) and robust incident management workflows.

• Prior work with DoD/IC programs or contractor environments supporting classified missions.

Clearance

Active TS/SCI with CI Poly or equivalent clearance is required for positions that will access classified environments. Candidates without an active clearance may be considered where program policy permits, but sponsorship timelines may apply.

Job Order #130

We are hiring a Senior Software Engineer II to design and deliver scalable, secure solutions for federal customers. You will collaborate with AI and engineering teams to productionize ML workflows, build resilient data pipelines, and advise on identity and security architecture for mission-critical systems. This role requires strong full-stack development experience, a security-first mindset, and the ability to communicate technical strategy to senior federal stakeholders.

Responsibilities

• Operationalize and maintain Python-native ML pipelines and data workflows for production environments.

• Deploy, monitor, and troubleshoot ML and data pipeline components in AWS, including in IL6+ or other classified environments.

• Provide architecture, technical advisement, and hands-on support for identity management and security-focused integrations.

• Collaborate with leadership and program stakeholders to translate technical tradeoffs into mission-aligned recommendations for senior-level federal customers.

• Automate build, test, deployment, and infrastructure tasks using DevSecOps practices to ensure repeatable, auditable delivery.

• Contribute to design reviews, technical documentation, and security compliance activities.

Minimum Qualifications

• 7+ years of professional experience in Information Technology with hands-on experience delivering development projects in DevSecOps and AWS environments.

• 6+ years of full-stack engineering experience, including database development/integration and server- and client-side application development and deployment.

• 6+ years deploying production enterprise applications in AWS, including experience with large-scale, high-performance big data solutions.

• Proven experience designing, developing, and deploying applications in IL6+ or similarly classified AWS environments.

• Strong automation and engineering skills covering implementation, testing, data, AI/ML, infrastructure/operations, and security in cloud environments.

• U.S. citizenship and the ability to obtain and maintain a TS/SCI security clearance with CI polygraph.

• Bachelor’s degree in Computer Science, Information Technology Management, Engineering, or equivalent experience.

Preferred Skills

• 3+ years with two or more of: Go, Python, Java, JavaScript, React, AngularJS, TypeScript, Next.js.

• Experience with containerization and orchestration (Docker, Kubernetes, OpenShift, Helm).

• Familiarity with secure deployment standards, STIGs, and DoD/IC compliance processes.

• Experience operationalizing ML model serving, feature stores, or MLOps platforms.

• Strong communication skills for engaging senior technical and executive stakeholders.

What We Offer

• Opportunities to work on high-impact federal programs with a focus on security and scale.

• Collaborative engineering culture that emphasizes DevSecOps practices and professional growth.

• Challenging technical problems at the intersection of AI/ML, data engineering, and secure cloud operations.

Job Order #131

Senior Software Engineer III — AI and Cloud Infrastructure

Overview

• Join a mission-driven engineering team delivering secure, scalable solutions for federal customers.

• Contribute to end-to-end systems that combine data engineering, ML pipelines, identity and access management, and hardened cloud infrastructure in classified environments.

• Work closely with technical leads and senior executives to shape architecture, operations, and security posture.

What you will do

• Operationalize data pipelines and machine learning workflows, ensuring repeatability, observability, and secure deployment.

• Deploy and support Python-native ML pipelines and production data services across cloud environments.

• Provide architecture and technical advisement for identity management systems, ensuring designs meet security and compliance requirements for classified and high-impact federal workloads.

• Partner with leadership and program stakeholders, translating technical trade-offs for senior executives and aligning engineering work to program goals.

• Lead automation efforts across CI/CD, testing, infrastructure as code, and monitoring to accelerate delivery and improve reliability.

Minimum qualifications

• 10+ years of professional experience in information technology, with substantial hands-on experience delivering development projects using DevSecOps practices and AWS.

• Bachelor’s degree in Computer Science, Information Technology Management, Engineering, or equivalent practical experience.

• Active TS/SCI clearance with CI Polygraph.

• 8+ years of full stack engineering experience that includes database development/integration and server and client application development/integration.

• 8+ years deploying production enterprise applications on AWS.

• Demonstrated experience designing, developing, and operating applications in IL6 or equivalent classified environments.

• Proven experience architecting and deploying large-scale, high-performance big data solutions across heterogeneous cloud environments.

• Strong track record leading automation, engineering, testing, and implementation across data, AI/ML, infrastructure, and security domains.

• 8+ years working with multiple languages and frameworks such as Go, Python, Java, JavaScript, React, Angular, TypeScript, or Next.js.

Preferred qualifications

• Deep experience with container orchestration and service meshes (Kubernetes, Helm, Istio).

• Experience with orchestration and workflow tools for ML pipelines (Kubeflow, Airflow, MLFlow).

• Expertise in hardened cloud operations and governance models for classified enclaves.

• Familiarity with identity standards and technologies used in federal environments (SAML, OIDC, SCIM, PAM solutions).

• Hands-on knowledge of automated security scanning, STIG compliance, and continuous compliance tooling.

What we offer

• Opportunity to drive architecture and operational practices for critical federal systems.

• Work on a cross-disciplinary team integrating data engineering, ML, security, and cloud platform engineering.

• Professional growth through high-impact projects and collaboration with senior technical and program leadership.

Job Order #132

Senior Solutions Architect III, Artificial Intelligence

Lead design, build, and operational excellence for enterprise-grade AI solutions that power a modern data exchange. You will guide a cross-functional engineering team, drive architecture and deployment decisions, and ensure secure, scalable, and cost‑effective AI services that deliver actionable insights from customer data.

Responsibilities

• Architect, design, and deliver end-to-end AI solutions (modeling, serving, orchestration, monitoring) for production environments at IL6+ security levels.

• Lead a “two‑pizza” team of full‑stack, data, and AI/ML engineers — set technical direction, mentor engineers, and own delivery quality.

• Evaluate and select technologies, frameworks, and cloud services to optimize performance, cost, and security.

• Implement and maintain DevSecOps CI/CD pipelines to automate model and service delivery, including infrastructure as code, automated testing, and deployment rollback strategies.

• Deploy and operate model inference services, RAG pipelines, and NLP/LLM systems with observability, autoscaling, and performance tuning.

• Drive security best practices across the AI portfolio: data protection, key management, access controls, STIG/IL6 hardening, and threat mitigation.

• Monitor solution health, identify bottlenecks, perform capacity planning, and implement proactive optimizations.

• Troubleshoot complex production incidents, lead postmortems, and implement systemic fixes.

• Communicate architecture tradeoffs, risk, and roadmaps to technical and non‑technical stakeholders.

Minimum Qualifications

• 10+ years of hands‑on experience architecting, building, and operating AI solutions, including production deployment and lifecycle management.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.

• Active TS/SCI clearance with the ability to obtain a CI Polygraph.

• Demonstrated experience with secure cloud architectures at IL6+ (AWS preferred) including VPC isolation, KMS, private endpoints, and hardened compute patterns.

• Expert experience designing and delivering generative AI, RAG, NLP, and LLM-based systems in production.

• Proven track record building and maintaining CI/CD/DevSecOps pipelines for ML and application delivery.

• Proficiency in one or more of: Python, Go, Java, JavaScript/TypeScript.

• Strong hands‑on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.

• Experience leading, mentoring, and scaling small agile engineering teams.

• Excellent problem‑solving skills and ability to resolve complex distributed system issues.

• Strong written and verbal communication skills for technical and business audiences.

Preferred Qualifications

• Prior experience in DoD, Intelligence Community, or other classified program environments.

• Familiarity with model governance, data lineage, and ML observability tooling (e.g., Feast, Tecton, MLflow, Seldon, Prometheus).

• Experience with container orchestration (Kubernetes, OpenShift), service mesh, and scalable inference architectures (GRPC, Triton, TorchServe).

• Knowledge of STIGs, DISA guidance, and secure enclave deployment patterns.

Job Order #133

Role: Senior Solutions Architect III — Object Exchange Architect

Summary This role leads design, delivery, and operations of a mission-grade data integration platform that enables object exchange, enrichment, transformation, versioning, routing, and event-driven processing at IL6+ in cloud environments. The successful candidate will be a hands-on technical leader who manages a small cross-functional team of full‑stack software and data engineers, drives architecture and implementation decisions, and owns platform reliability, security, and CI/CD automation.

Key responsibilities

• Lead architecture, design, and delivery of core data integration platform components and services for object and data exchange.

• Evaluate and choose technologies, tools, and frameworks to meet performance, security, scalability, and cost objectives.

• Design, implement, and maintain automated DevSecOps CI/CD pipelines for rapid, repeatable, auditable deployments.

• Build and operationalize APIs, event-driven processing, data persistence, integration/transformation, enrichment, routing, and versioning capabilities.

• Operate and monitor platform health; identify and resolve bottlenecks and incidents to minimize downtime and maintain SLAs.

• Embed security and compliance controls across the platform, apply threat modeling, and work with security teams to meet IL6+ requirements.

• Troubleshoot complex, cross-domain technical issues and drive remedial actions and design improvements.

• Lead, mentor, and grow a “two‑pizza” engineering team, coordinate sprint planning, code reviews, and hands-on implementation work.

• Communicate architecture, risk, and operational status to technical and non-technical stakeholders; produce design documents and runbooks.

Minimum qualifications

• 10+ years of hands-on experience in technical architecture, solution delivery, or lead engineering roles focused on data integration and platform engineering.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.

• Active TS/SCI and the ability to obtain a CI Poly (or equivalent program-specific clearance eligibility).

• Expert-level, hands-on experience designing, building, and operating highly available, scalable, and secure data integration platforms for object and data exchange in cloud environments at IL6+.

• Deep proficiency with AWS services and operational models for high‑assurance environments.

• Proven experience architecting, developing, and operating APIs, data persistence layers, ETL/ELT and stream processing, event-driven architectures, and data transformation/enrichment pipelines.

• Expert-level experience designing and implementing DevSecOps CI/CD pipelines with automated testing, security scanning, and deployment controls.

• Proficiency in one or more of: Go, Python, Java, JavaScript — with demonstrated production code and system design experience.

• Strong leadership experience managing small, cross-functional engineering teams and mentoring individual contributors.

• Excellent problem-solving skills and demonstrated ability to resolve complex system and operational issues.

• Strong written and verbal communication skills with the ability to explain complex security and technical concepts to diverse audiences.

Preferred qualifications

• Prior experience with DoD/IC mission environments, IL6/IL5 security baselines, and DISA STIG or equivalent hardening frameworks.

• Experience with container orchestration (Kubernetes/OpenShift), infrastructure as code (Terraform/CloudFormation), service meshes, and zero-trust networking patterns.

• Familiarity with streaming platforms (Kafka, Kinesis), integration frameworks (Apache NiFi, Flink), and persistent stores (Postgres, Oracle, NoSQL).

• Experience enabling data lineage, versioning, provenance, and schema evolution at scale.