Job Description


Job Overview

  • Job ID:

    J37528

  • Job Title:

    AWS/Network Engineer

  • Location:

    seattle, WA

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

Job Description

Job Title: AWS/Network Engineer

Roles & Responsibilities::

  • Design, implement, monitor, and maintain network topology and security policies for our AWS data environment. Provide mentorship and technical direction to team-members and evangelize practices and methodologies.
  • Automate and innovate our cloud infrastructure. Collaborate with infrastructure, network, database, application, and business analytics teams to ensure data quality, durability and availability. Identify security and performance issues at multiple layers of the infrastructure; Provide technical expertise in identifying issues that impact availability and quality across the software product portfolio.

Required Skills:

  • 5+ years of experience within a relevant technical position
  • 2+ years of experience working with AWS
  • *nix and/or Windows in an enterprise environment
  • Experience building AWS infrastructure using Terraform or AWS CloudFormation
  • Experience in Orchestration/Configuration Management tools (e.g. Ansible, Chef, or Puppet)
  • Experience configuring firewalls and networking in AWS
  • One or more scripting languages (e.g. Bash, PowerShell, Python)
  • AWS Certifications preferred
  • Bachelor s degree in Computer Science or Computer Information Systems or its equivalent with relevant experience

Work SiteSeattle, WA

Duration: 6+ Months

Expected Start DateImmediate 2 weeks

Number of Positions: 01


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Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract