A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.
Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
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.
The infrastructure running industries like transportation, energy, insurance, banking, or healthcare is quickly changing as the world’s relationship with technology evolves. Companies have more choices than ever before between on-premises, off-premises, or a hybrid approach.
As an Infrastructure Specialist, you will be responsible for keeping up with the latest and greatest of these changes and for using your expertise to deliver cloud solutions that meet the needs of our customers and products.
Your primary responsibilities include:
AWS Distributed Systems: Develop and maintain scalable distributed systems in AWS.
Kubernetes Cluster Management: Develop and maintain high-performance Kubernetes (k8s) clusters across multiple regions.
Telemetry Infrastructure: Develop and maintain telemetry infrastructure and service instrumentation (Python) for metrics, distributed tracing, and logging.
Petabyte-Scale Data Platform: Support infrastructure for a petabyte-scale data platform and stream analysis services.
Collaboration with Audio and Speech AI Engineers: Work with AI Engineers to accelerate development and deployment of heterogeneous analysis and distributed training pipelines.
SLIs, SLOs, and Error Budget Management: Participate in the definition and management of SLIs, SLOs, and error budgets for infrastructure and production services.
Infrastructure-as-Code Pipelines: Design and implement infrastructure-as-code pipelines.
Work with Hiring Manager to ID up to 5 bullets max
Hiring manager and Recruiter should collaborate to create the relevant verbiage.