Description
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 prospective customers, in real-time, on solutions to their hardest business challenges.
As a Technology Developer within Client Engineering, you’ll be a key player in a multi-disciplinary team made up of Architects, AI Specialists, Designers, Developers, and Business Technology Leads. The brightest minds collaborating with clients as one team and contributing to experiential working sessions. The outputs of lead to a “proof of value” (what we call a “Pilot”) where we co-develop with the client to show how IBM’s AI and Hybrid Technology can deliver impactful business outcomes.
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
The Technology Developer role in IBM Client Engineering is a hands-on role where you will be co-creating using cloud technology and technical/programming skills. From identification of requirements to technical decisions impacting the business case, you’ll have a key role to help deliver the Pilot experiences to our client.
Your primary responsibilities will include:
- Cloud Expertise: Combine contemporary cloud skills, including AI, analytics, DevOps, DevSecOps, security, networking, and storage, with deep industry expertise and a deep understanding of your dedicated set of clients’ businesses.
- Value Communication: Define and communicate the differentiated value of IBM’s technology both technically and commercially. Applies a user-centric approach to ensure the Pilot demonstrates value to the user and achieves the desired client impact.
- Technical Leadership: Actively contribute to client sessions that encompass a broad range of public and hybrid cloud technologies, such as Red Hat OpenShift, IBM Cloud Paks, and Kubernetes, among others.
- Solution Support: Support the solutions architecture plan while participating as a hands-on “builder” in client-facing engagements.
- Security and Reliability: Provide advice to ensure that solution architecture includes provisions for security, reliability, and anticipated future needs.
To be successful in this role, you will need:
- Confidence to engage new customers and deliver an elevated experience.
- Motivation to achieve sales, business objectives and high client satisfaction.
- Strong analytic, problem solving, and troubleshooting skills combined with an agile process.
- Embrace curiosity and a growth mindset; current on technology, industry trends and how it is being applied to address business challenges.
Required Technical and Professional Expertise
- B.S./M.S. in Computer Science, Computer/Electrical Engineering, Information Systems or equivalent technical degree/experience.
- Cloud Proficiency: Hands-on expertise in a wide range of cloud technologies.
- Technical Skills: Programming working knowledge in Python as well as ideally, Java. Knowledge of one more frameworks such as Tensorflow, Pytorch etc. Front end development skills. Experience with software development, version controls. Foundation in DevOps technologies like Docker, Kubernetes. Programmers with working knowledge of COBOL also of interest.
- Technical Leadership: Proven experience with customer-facing, technical solutions teams in a variety of cloud architectures .
- Solution Expertise: Technical expertise in a cloud-related solution domain such as Data/Analytics, Data Science, Security, or other cloud-native, hybrid, or public-cloud technology.
- Client and Team Relationship Building: Experience in team collaboration as well as collaborative client relationships at all levels within organizations.
- Must be readily able to travel to the U.S
Preferred Technical and Professional Expertise
- Cloud Platform Expertise: Experience in architecting, deploying, and operating solutions built on AWS, Azure, IBM Cloud, or Google Cloud.
- MLOps/LLMOps Skills: Experience with popular MLOps frameworks (e.g, Kubeflow, MLflow, Airflow, etc)
- Solution Architecture: Solution Architect or IT/Public Cloud Consultant experience.
- Agile Proficiency: Deep understanding and demonstrable application of Agile best practices.
