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Sr. Software Engineer II (6520)

1 hour, 51 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Angular AWS DevSecOps Go Java JavaScript Machine Learning Next.js Python React TypeScript
Apply Now
MetroStar

MetroStar

MetroStar builds innovative technology solutions designed to enhance and accelerate the missions of government agencies, leveraging a rich legacy of expertise in the digital age.

IT Services
251-1K
Founded 1999
View All Jobs 45

Description

  • Work with AI team members to operationalize data pipelines and machine learning tasks.
  • Provide day-to-day support for deploying Python-native machine learning pipelines.
  • Support architectural leadership and technical advisement for identity management system technologies.
  • Ensure systems are integrated and meet appropriate security requirements.
  • Support leadership in engagements with senior executives at a public-facing Federal agency.
  • Provide subject matter expertise in security architecture and related domain areas.
  • Contribute to automation, testing, implementation, data, infrastructure operations, and security engineering tasks in cloud environments.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology Management, Engineering, or a comparable field, or equivalent experience in lieu of a degree.
  • Active Secret clearance and/or T1 background investigation.
  • Minimum 7 years of experience in the IT field focused on development projects using DevSecOps and AWS cloud environments.
  • At least 6 years of full-stack engineering experience, including database development/integration and server/client application development/integration.
  • At least 6 years of experience deploying production enterprise applications in AWS.
  • 3+ years of experience with multiple languages or frameworks such as Go, Python, Java, JavaScript, React, AngularJS, TypeScript, or NextJS.
  • Strong experience designing, developing, and deploying applications using AWS cloud services in IL6+ classified environments.
  • Proven experience with large-scale, high-performance enterprise big data application deployment and solution architecture in complex heterogeneous AWS environments.
  • Strong experience with automation and engineering tasks across implementation, data, AI/ML, infrastructure/operations, and security in cloud environments.
  • Ability to perform a broad range of cloud engineering tasks, including testing, implementation, data, AI/ML, infrastructure/operations, and security engineering.

Benefits

  • Salary range of $142,000 to $195,000.
  • Eligible for performance-based bonuses.
  • Eligible for company-paid training and/or certifications.
  • Eligible for referral bonuses.
  • Health, dental, and vision insurance.
  • 401(k) retirement plan with company match.
  • Paid time off and holidays.
  • Parental leave and dependent care.
  • Flexible work arrangements.
  • Professional development opportunities.
  • Employee assistance and wellness programs.

Interested in this position?

Apply directly on the company website

Apply Now

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