DevOps Engineer Specialist

DevOps Engineer Specialist

This role will implement DevOps by enabling CI/CD Toolchain for the development & delivery of business capabilities using an automated workflow with embedded controls that deploys to a Big Data and cloud-based infrastructure. This role will be build & operate toolchain, that includes, but not limited to overall vision, design, execution & operations leveraging agile & engineering best practices.

• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent).
• Strong software engineering skills in complex, multi-language systems.
• Fluency in Python programming
• Experience working with cloud computing and database systems.
• Experience building custom integrations between cloud-based systems using APIs.
• Experience developing and maintaining ML systems built with open-source tools.
• Experience developing with containers and Kubernetes in cloud computing environments.
• Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, Jenkins etc.).
• Ability to translate business needs to technical requirements.
• Strong understanding of software testing, benchmarking, and continuous integration.
• Exposure to machine learning methodology and best practices.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.).
• Minimum 6-8 years of experience testing and deploying CI/CD, Test automation, Test Harness, Web UI/microservices, Preferred DevOps in ETL/BI, Data warehousing and cloud systems
• Develops and maintains mission-critical information extraction, analysis, and management systems.
• Implements streaming analysis algorithms to generate question focused data sets (QFDs).
• Provides direct and responsive support for urgent analytic needs.
• Participates in architecture and software development activities.
• Translates loosely defined requirements into solutions.
• Uses open-source technologies and tools to accomplish specific use cases encountered within the project.
• Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
• Collaborates with others on the project to brainstorm about the best way to tackle a complex technological infrastructure, security, or development problem.
• Performs incremental testing actions on code, processes, and deployments to identify ways to streamline execution and minimize errors encountered.