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About the role
Note: This is 100% remote. Role: DevOps Engineer Location: Remote Duration: 3-6+ months IV Process: Technical Screening (Apex) -> One Video Interview -> Hire
Required Skills: • Docker / Containerization • CI/CD – Azure DevOps • Azure experience requirements • Creating CI/CD pipelines for Data rather than Artifact / Software focused
Desired Skills (not required but candidate will have exposure to these skills in this role): ML languages
Position Description: Shorten development cycles for our AI/ML systems: Help us build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization Design and implement automated CI/CD pipeline. Increase our deployment velocity, including the process for deploying models and data pipelines into production. Improve the creation of dependable releases. Build and maintain infrastructure as code (IaC) in the cloud, that can scale when needed. Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation) Create lightweight custom monitoring solution using PowerShell, Kusto queries to monitor the health of the Azure services in the environment Working on DevOps/Agile operations process and tools area (Code review, unit test automation, Build & Release automation, Environment, Service, Incident and Change Management) Establish Automated Code Quality, Assembly Testing and Performance Testing Solutions on top of Continuous Integration Pipelines Voluminous know-how about multiple Scripting languages like Bash, Python, Shell. Managed environments DEV, SIT, QA, UAT and PROD for various releases and designed instance strategies Lead ongoing governance modernization efforts, including policy, security, compliance, and change management. Prepare for automation by developing the strategy, teams, and roadmaps to IT Modernization. Leverage Cloud, DevOps, DevSecOps, MLOps, AIOps and containerization expertise to design, build, and deliver modernized infrastructure via scripting, workflows, and automation Works on unusually complex technical problems and provides highly innovative and creative solutions. Develops advanced technological ideas and guides their development into a final product. Works under consultative direction toward pre-determined long-range goals and objectives
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