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Machine Learning Technologies, LLC is seeking an experienced DevOps engineer to support a mission-critical application. You will join a team delivering large-scale enterprise initiatives for Wholesale with a focus on reliability, security, and performance.
Responsibilities include configuring and maintaining servers, orchestrating microservices in Kubernetes, working in AWS, and driving CI/CD pipelines while ensuring SOX compliance and audit readiness across multiple projects.
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.
Experience or familiarity with integrating LLM APIs (such as Google Gemini, Anthropic Claude, or OpenAI) into enterprise Java/Spring Boot microservices.
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.