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AI Automation Enablement Service Team Lead @NetImpact Strategies
AI / ML
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Job Type full-time
Posted 1mth ago

[Hiring] AI Automation Enablement Service Team Lead @NetImpact Strategies

1mth ago - NetImpact Strategies is hiring a remote AI Automation Enablement Service Team Lead. πŸ’Έ Salary: unspecified πŸ“Location: USA

Role Description

NetImpact Strategies is seeking an AI Automation Enablement Service Team Lead to join our talented Federal delivery team. This role will lead the design and implementation of AI-assisted automation and DevSecOps capabilities supporting enterprise modernization initiatives.

  • Lead the strategy, design, and deployment of AI-enabled automation frameworks supporting application development, infrastructure management, and operational workflows.
  • Architect and oversee CI/CD pipelines integrating automated testing, security scanning, code quality validation, and deployment processes.
  • Implement Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or ARM templates to standardize and secure cloud provisioning.
  • Design and manage containerized environments using Docker and Kubernetes (EKS/AKS), enabling scalable and resilient application delivery.
  • Integrate AI/ML-driven tools to optimize ticket routing, anomaly detection, predictive scaling, and automated remediation.
  • Establish DevSecOps governance standards, automation policies, and reusable templates.
  • Ensure alignment with NIST 800-53, FedRAMP, FISMA, and agency-specific ATO requirements.
  • Mentor engineers and foster a culture of continuous improvement and innovation.
  • Track automation metrics and KPIs to measure operational impact and ROI.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related discipline.
  • 5+ years leading DevSecOps, automation engineering, or cloud modernization programs.
  • Expertise in CI/CD platforms (Azure DevOps, GitLab CI, Jenkins).
  • Hands-on experience with Terraform, CloudFormation, or ARM templates.
  • Strong AWS (including GovCloud) experience; familiarity with IAM, VPC, Lambda, ECS/EKS.
  • Experience implementing automated security tools (Snyk, SonarQube, Fortify, Checkmarx).
  • Knowledge of containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with federal compliance frameworks and secure SDLC practices.

Requirements

  • AWS DevOps Engineer certification (preferred).
  • SAFe Agilist certification (preferred).
  • Agile/Scrum Certification (preferred).

Benefits

  • Your health comes first – we offer comprehensive medical, dental, & vision insurance that starts the first of the month after you join the team.
  • Invest in your future – 401(k) Plan – Immediately vested employer contributions; no matching required.
  • Work hard, play hard – we offer a generous Paid Time Off (PTO) policy and observe ALL ten (10) federal holidays.
  • Pawsitively pawesome – Pet Insurance (because our little critters are part of our families, too!).
  • Invest in your education – Tuition reimbursement, internal training programs, & company-sponsored industry certifications.
  • Be part of a dynamic and collaborative work environment recently ranked by The Washington Post as a Top Work Place in 2019, 2020, & 2022!
  • Have fun and celebrate and give back – Team building activities, community volunteering, quarterly HQ days, & an offsite annual awards banquet.
Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Back to Remote jobs  >   AI / ML
AI Automation Enablement Service Team Lead @NetImpact Strategies
AI / ML
Salary unspecified
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Job Type full-time
Posted 1mth ago
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️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
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