DevSecOps Engineer

Job description

Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities
The IBM Technology Lifecycle Services (TLS) group is looking for a technically oriented, talented, innovative and enthusiastic DevSecOps engineer to join our TLS AI DevOps team. We are looking for someone who has deep working experience in modern AI technologies to help us adopt the watsonx.ai technology as part of our AI4Infrastructure initiative. AI4Infrastructure consists of various use cases that shall help us increase productivity for our support engineers, reduce time-to- resolution for client cases and increase support deflection rates. You will be responsible for working with the TLS AI4I Security focal to develop and deploy the requirements to meet security standards. This will include deploying and maintaining code from IBM Research. There will be opportunities to work closely with IBM Research, Architects, Data Scientists, and a high performance development team throughout this process. This role may require some attention after normal working hours in order to collaborate with the WW team, or troubleshoot and resolve production issues experienced by clients.

The undisputed priority for IBM is to scale watsonx as the AI for business platform for enterprise clients and establish IBM as the top-of-mind choice for AI and foundation models.
Our watsonx suite makes it possible for clients to build, train, tune and deploy AI across their business, leveraging critical, trusted data wherever it resides. TLS is aiming to become client zero in capturing the full potential of this platform.

Required Technical and Professional Expertise

·  8 - 12 years of relevant industry experience
·  Minimum of 3 years of experience in Software Security
·  Minimum of 3 years of experience in a DevOps Developer or Engineer role or similar.
·  Experience in deploying services and pipelines in IBM Cloud containerized environments
·  Proficiency in scripting and Python programming language
·  Experience in analytics and interactive visualization platforms like Grafana
·  Experience in CI/CD pipelines and tools like Tekton
·  Experience in Terraform modules.
·  Experience with cloud-based services
·  Experience in writing reliable/efficient SQL code for work with remote DBs
·  Working knowledge with ML Ops and maintenance
·  Fluent in using Git
·  Proficiency in containerization technologies (e.g., Docker, Kubernetes, OCP).
·  Experience in Monitoring and operating Kubernetes clusters
·  Understanding of networking and security concepts
·  Self-starter, organised with self-learning skills, ability to work independently
·  Great communication skills, self-managed and a team player
·  Ability to work effectively as part of a worldwide, agile development team.
·  Fluent English

Preferred Technical and Professional Expertise

·  Skills for implementation, operations and maintenance of DevOps environnent - MLOps, DevOps, UX Design
·  Experience in deploying and maintaining services and pipelines in IBM Cloud containerized environments.
·  Experience in automating the deployment and scheduling of micro- services