Platform Engineer

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.

Your Role and Responsibilities

We are currently looking for skilled Platform Engineers to develop maintain and support container orchestration (kubernetes) machine learning workloads network services and storage layers across cloud and on-premise.

Responsibilities:

• Develop and maintain scalable distributed systems in IBM Cloud AWS and on-premise.
• Develop and maintain high performance k8s clusters across multiple regions.
• Develop and maintain telemetry infrastructure & service instrumentation (python) for metrics distributed tracing and logging.
• Support infrastructure for a petabyte scale data platform and stream analysis services.
• Work with Audio and Speech AI Engineers to accelerate development and deployment of heterogeneous analysis and training pipelines
• Participate in the definition and management of SLIs SLOs and error budgets for infrastructure and production services.
• Design and implement infrastructure-as-code pipelines

Required Technical and Professional Expertise

• 4+ Years cloud development (IBM cloud preferred and AWS) experience designing implementing and support cloud-based infrastructure
• 3+ Years experience architecting deploying and supporting kubernetes in cloud and on-prem environments.
• 2+ years experience designing and supporting distributed systems.
• Experience writing production code in one of more languages such as Python (preferred) Java Go in a microservices environments.
• 2+ Years Linux experience configuring supporting and optimizing. Bonus for Redhat

Preferred Technical and Professional Expertise

• Familiarity running distributed ML workloads in cluster orchestrated environments
• Experience building and supporting telemetry and related infrastructure (Open Telemetry Jaeger Grafana Prometheus)
• Experience with k8s ecosystem tooling like helm deployment tools such as ArgoCD
• Experience designing and implementing infrastructure as code pipelines
• Experience designing and implementing traffic routing strategies in edge and microservices environments.

What we offer:

• Working for a top 5 IT company according to Forbes 2022 best employers ranking
• International and prestigious projects
• Highly skilled teams of experts
• Wide range of IBM trainings and certificates
• Access to Udemy Harvard Business Review O’Reilly Interskill IBM AI Skills Academy

And what is more:

• Contract of employment
• Competitive compensation – salary range depending on your skills and experience
• Private medical care and life insurance
• Employee Assistance Program
• Sport charity & other networking groups
• Summer / winter camps for children
• Discounts with IBM employee badge
• Referral Bonus Program
• Home office option
• No dress code