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MACHINE LEARNING TECHNOLOGIES LLC in Alpharetta, GA seeks an experienced AWS DevOps Engineer with Kubernetes expertise for a 12-month engagement. You will join a team responsible for a mission-critical application, ensuring scalable, secure deployments and rapid release cycles.
6+ years of hands-on experience in AWS, Kubernetes, Docker, and CI/CD are required. Strong Linux/Tomcat and Java-related skills, with adherence to Agile practices and SOX-aligned controls, are essential.
Job ID: J53468
Job Title: AWS DevOps Engineer/Kubernetes Engineer
Location: Alpharetta, GA
Duration: 12 Months + Extension
Domain Exposure: Utilities/ Energy
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
10+ years Responsibilities This position is for IT system and this role primarily is responsible for DevOps engineer for a mission critical application. The work you will be doing will be part of the team who is responsible for leading large and complex business initiatives based on contractual agreements for Wholesale and delivering best in class customer experience. Responsible for DevOps functions for multiple projects for enterprise releases and maintenance releases. You will follow Agile methodology and ensure Security compliance with enterprise standards. Also make sure the Billing System adheres to SOX Audit rules. Monitor security vulnerability reports and Track fixes for reported issues.
Proficiency using modern AI coding assistants (e.g., GitHub Copilot, Gemini, Claude) to accelerate code generation, debugging, and automated testing. Generative AI Integration (Plus): Experience or familiarity with integrating LLM APIs (such as Google Gemini, Anthropic Claude, or OpenAI) into enterprise Java/Spring Boot microservices.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.