Job Description


Job Overview

  • Job ID:

    J38595

  • Job Title:

    AWS-DevOps Architect

  • Location:

    Richmond, VA

  • 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

Role: AWS-DevOps Architect

Location: Richmond, VA

Responsibilities:

  • Leads in the administration and configuration of AWS services.
  • Design and enable interfaces for DevOps Builds and Release management and enable CI / CD pipeline for applications.
  • Provides functional and technical expertise on applications and interfaces.
  • Drives engagement with Security and Infrastructure teams to ensure secure deployment of applications.
  • Designing complete monitoring solutions and remediation using operations tools including ITSM ticketing platforms.
  • Assists product owners in systems analysis and creation of documentation for all business processes.
  • Participate in technical design meetings with Enterprise and application architects.
  • Must have strong understanding of application architecture, common failure modes and the development process.
  • Must have strong understanding of 24x7 application operations, including Incident Management, Change Management, and Capacity Management.
  • Works within the SAFe Agile framework. Participate in sprint planning.
  • Ability to wear multiple hats spanning the software-development-life-cycle across.

Requirements:

  • Conduct daily scrum, technical clinic s and other governance ceremonies with DevOps team.
  • Assists in production support and maintenance of applications as needed.
  • Strong written and verbal communication skills with the ability to create and present concepts and recommendations to management.
  • High-level communication skills to influence and persuade others.

Must have:

  • Need progressive, broad-based IT experience successfully implementing complex IT applications and / or developing efficient effective solutions to diverse and complex business problems.
  • 7+ years of demonstrated functional work experience in the related area with at least 2+ years of AWS cloud.
  • Good understanding of AWS Infrastructure services and their limitations.
  • Have experience building and deploying as containers on a cloud platform using an automated CI / CD pipeline.
  • Experience in configuring & monitoring different attributes and handling scale up and scale down scenarios for the application in Azure.
  • Application monitoring through operations insights, application insights.
  • Provide best practices around provisioning production and non-production environments on AWS to optimize the usage.
  • Have good understanding in implementation of advanced security, authentication and single sign on across cloud and on premise.
  • Have implemented a Dev Ops model on AWS.
  • Have evaluated products/technology & created IT Roadmap for adoption.
  • Have adopted end to end automation.
  • At least 3+ years of experience working in an Agile team Added advantage.
  • Good if candidate is from an application development background who has expertise in building large scale web applications before the cloud experience.
  • Good to have knowledge of common and industry standard cloud-native/cloud-friendly authentication mechanisms (OAuth, OpenID, etc.).
  • Experience with deployment orchestration, automation, and security configuration management preferred.
  • Experience with service-oriented architecture for cloud-based services.

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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