Cloud Platform Engineer

Job description

Introduction
The infrastructure running industries likes 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-premise, off-premise, or a hybrid approach. Our Infrastructure Specialists are responsible for keeping up with these latest and greatest of these changes and using their expertise to deliver solutions that meet the needs of our customers and products.

Your Role and Responsibilities
• Develop and maintain scalable distributed systems in AWS.
• 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 distributed 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

·  3+ Years AWS experience designing, implementing, and support cloud based infrastructure
·  2+ Years experience architecting, deploying, and supporting kubernetes in cloud 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

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 designing and implementing infrastructure as code pipelines
• 2+ Years PubSub Experience (Kafka, SQS, SNS, MQTT)
• 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
·  Unlimited access to Udemy, Harvard Business Review, Safari O’Reilly, getAbstract, IBM AI Skills Academy And what is more:
·  Contract of employment
·  Competitive compensation – salary range , depending on your skills and experience
·  Possibility to apply for 50% tax deductible costs on R&D creative works
·  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