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.