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Systems Engineer (MID)

Role overview

Qualifications

  • 6–9 years of hands-on experience in Python and Go development
  • Good understanding of machine learning concepts
  • Exposure to AWS services and modern software development practices
  • Experience with Generative AI, MLOps, or AWS SageMaker will be an added advantage

Responsibilities

  • Performance Optimization
  • Problem-solving, debugging, and troubleshooting
  • Collaborate with cross-functional teams and clients to deliver high-quality products
  • Work with cloud-native applications

Key facts

  • Remote from: United States
  • Full time
  • Senior (5-10 years)
  • Systems Engineer
  • English

Hard skills

Other skills

  • Problem Solving
  • Troubleshooting (Problem Solving)
  • Communication
  • Collaboration

About the company

Sky Systems, Inc. (SkySys) logo

Sky Systems, Inc. (SkySys)

IT Services & IT Consulting

Sky Systems, Inc. (DBA SkySys) is a technology consulting firm based out of Research Triangle Park, North Carolina, United States. SkySys specializes in Recruitment & Staffing, 24/7 On-Site & Remote Services, Managed Services Provider (MSP), Cisco Select Certified Partner and Dell Technology Partner, Contact Center Solutions (Cisco, Avaya, Genesys), Web Solutions, and other services. ​ SkySys currently works with clients across the United States and Canada. Our list of clients include top Fortune 500 companies in various industries – Financial Services, Banking, Pharmaceutical, IT Service Providers, Healthcare, Oil & Gas, Government, Consulting and Outsourcing, Telecommunications, Insurance, Aerospace, Semiconductors, and many more.

Company details

Company typeStartup
IndustryIT Services & IT Consulting
Company size11 - 50

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Job description

Role: Systems Engineer (MID)
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 6 months+
Work Schedule: 8 hours/day (Mon-Fri)
Work Hours: CST/PST
Location: 100% Remote (Candidates can work from anywhere in USA)

Job Description:
  • Exposure to AWS services and modern software development practices.
  • Good in Performance Optimization
  • Good understanding of machine learning concepts and experience working with cloud-native applications.
  • Experience with Generative AI, MLOps, or AWS SageMaker will be an added advantage.
  • Strong in problem-solving, debugging and troubleshooting
  • Strong communication skills
  • Able to collaborate with cross-functional teams and clients to deliver high-quality products
  • 6–9 years of hands-on experience in Python and Go development
  • Exposure to AWS services and modern software development practices
  • Strong performance optimization skills Good understanding of machine learning concepts, with experience building/working with cloud-native applications
  • Strong problem-solving, debugging, and troubleshooting ability
  • Strong communication skills Ability to collaborate effectively with cross-functional teams and clients to deliver high-quality products

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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