Platform Engineer – Client Engineering

Introduction
Technology sales at IBM is evolving its way of working to break beyond boundaries with innovative approaches. Preferring to ‘show’ vs. ‘tell’ Client Engineering co-creates with clients in real-time on solutions to solve their hardest business challenges.

As a Platform Engineer within Client Engineering you’ll be a key player in a multi-disciplinary team made up of Architects AI Engineers Designers and Business Technology Leaders. The brightest and creative minds collaborating with clients as one team and contributing to experiential working sessions and builds. The outputs of which produce pilots that lead to the deployment of enterprise-scale solutions at start-up speed.

Excellent onboarding training will set you up for success whilst ongoing development will continue to advance your career through its upward trajectory. Our sales environment is fast-paced and supportive. Always part of a team you’ll be surrounded by leaders and colleagues who are always willing to help and be helped – as you support pilots that compel clients to invest in IBM’s products and services.

Your Role and Responsibilities
As a Platform Engineer within IBM Client Engineering you will play a key role in delivering unique client co-creation experiences to accelerate their digital transformation. You will be involved in all aspects of integrated solutions from identifying requirements to making technical decisions that impact the business case. As a Platform Engineer you will work as an integral part of cross-functional teams to realize the full potential of our hybrid cloud and AI solutions providing business value to our clients.
We are committed to your success. If this role aligns with your career. Your typical day as a Platform Engineer may look like:

• Leverage contemporary hybrid cloud skills (e.g. AI analytics DevOps DevSecOps IaC automation security networking and storage) with deep industry expertise and an understanding of your clients’ businesses.
• Define and communicate the unique value of IBM’s technology both technically and commercially.
• Participate in client sessions that include a range of public and hybrid cloud technologies such as Red Hat OpenShift IBM Cloud Paks and Kubernetes.
• Support the solutions architecture plan and be a hands-on “builder” during client-facing engagements.
• Advice on solution architecture to align with platform best practices with a focus on our clients target environment to ease transition to deployment.
• Work with deployment teams to transition platform assets and information to provide seamless transitions for our clients.

Required Technical and Professional Expertise

• Hands-on experience with a wide range of cloud and AI technologies.
• Practical knowledge and direct experience with virtualized on-premise and cloud-based computing platforms.
• Experience in building application and infrastructure deployment automation workflows.
• Proven track record in participating in customer-facing technical solutions teams across various cloud architectures.
• Technical experience in a cloud-related domain such as Data/Analytics Data Science Security or other cloud-native hybrid or public-cloud technology.
• Understanding and practical application of Agile best practices.
• Proficient in at least one common cloud native programming language (Java Python HCL Rust Ansible etc.)

Preferred Technical and Professional Expertise

• At least 1 year in a technical operations role such as site reliability or platform engineering in hybrid-cloud and on-premise environments.
• Experience in deploying and operating solutions on AWS Azure IBM Cloud or Google Cloud.
• Experience as a Solution Architect or in a public cloud consultant role.
• Experience in developing collaborative client relationships at all levels within organizations.
• Knowledge of Well-Architected Frameworks from AWS Azure IBM Cloud or Google Cloud.
• Relevant technical certifications (e.g. CNCF AWS IBM Cloud Azure Google Cloud DevOps).
• Experience working in dynamic team environments and cross-functionally with teams such as Product Management Engineering and Customer Success.