A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio
In this role you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers) where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
As an application consultant specializing in DevSecOps you will technically analyze the clients' IT environment for achieving better efficiency using DevOps tools & methodologies traditional or Cloud environments prepare  gap analysis document and / or design a proposed DevSecOps Automation adoption roadmap on both the Dev and the Ops from requirements to solution. Architect the DevSecOps tooling infrastructure and define the interface requirements among the various tool sets integrated with various DeSecOps Platforms Provide mentorship to DevOps Engineers project delivery and support in the areas of Solution / Build / Test / Deploy lifecycle activities and Application Performance Management. You will also be involved in Research and evaluating emerging technologies industry and market trends to assist in project and/or solution offering development activities
* Solid Azure Cloud experience particularly w/ App Services Functions & API Gateways
* Strong scripting & automation skills using Python PowerShell or Bash
* Experience w/ CI/CD pipelines ideally through Azure DevOps including embedding observability or automation in application deployments
* Good understanding of cloud-native architecture provisioning & deployment models
* Familiarity w/ containerization (Docker/Kubernetes) & Infrastructure as Code concepts
* Working knowledge of monitoring fundamentals—metrics logs traces dashboards & alerting
* Strong analytical problem-solving & communication skills w/ the ability to collaborate effectively across teams
Hiring manager and Recruiter should collaborate to create the relevant verbiage.