Senior Software Developer

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
You will be part of a highly motivated and skilled team incubating a new business for IBM with the goal of fundamentally changing how we think about data metadata and data access. Collaborate with other engineers product management and other team members to design code test document and support industry-leading solutions.
Applicants should have prior experience with or be able to master the tools and techniques for building deploying operating and supporting large scale hybrid cloud platforms services and applications based on Kubernetes and DevOps practices. Challenges include optimizing demanding Open APIs heterogeneous computation platforms and operational requirements for highly available and reliable services.

Required Technical and Professional Expertise

• Experience in a professional software engineering role using one or more programming language ecosystems and software development processes
• experience in developing software with Python Rust C++ or Go and their ecosystems of tools and libraries
• experience with cloud-native environments such as AWS (S3 lambda CloudTrail etc.) or other cloud vendors
• demonstrated ability to organize prioritize and multi-task in a fast paced changing and agile development environment to meet deadlines
• effective written and verbal communication and interpersonal skills
• demonstrated ability to organize prioritize and multi-task in a fast paced changing and agile development environment to meet deadlines
• effective written and verbal communication and interpersonal skills
• proficiency in English

Preferred Technical and Professional Expertise

• Experience with Kubernetes
• Experience with Ray Skypilot or vLLM
• Experience with DevOps and Site Reliability Engineering (SRE) processes required to build Software as a Service (SaaS) products
• Experience in a data science or data engineering environment
• Experience with strongly typed languages/type systems or GraphQL