Your Role and Responsibilities

As a member of our IBM Research team, the Software Engineer’s responsibilities will include developing, operationalizing, and scaling our toolkits and modelling ecosystem, working with complex, e.g., materials datasets and large climate datasets for discovery and making them consumable in science and business. You will collaborate with the IBM Discovery Platform team, to build cloud-native system for accelerating scientific discovery. The IBM Discovery Platform makes advanced tool kits for modeling, simulation, quantum, and other capabilities readily available to scientific organizations pursuing research in areas such as drug discovery, material science, climate modeling, etc. Acceleration is achieved both from the automation and productivity provided by the IBM Discovery Platform, as a whole, and from the specific capabilities provided by the tool kits individually.

Applicants for the Software Engineer position 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. Particular challenges include optimizing demanding workloads with large, distributed data sets, heterogeneous computation platforms, and operational requirements for industry, as well as regulated data on public and private infrastructure.

What you will do

Specific responsibilities include:

• Work with other members of engineering, product management, science teams, and marketing to create high-quality content for releases, including Kubernetes-based software, documentation, blogs, training content, etc., as needed.
• Work closely with other team members to refine the product roadmap, including specific features and release plans.
• Work closely with other team members to refine the platform architecture and design, as well as the DevOps processes used to create, deploy, and manage software.
• Work with minimal supervision and sometimes work collaboratively with other team members to deliver high-quality work in an efficient manner.

Software Engineer – Required Skills

• BS/BA degree in a technical field, or equivalent experience.
• 4+ years of experience in a professional software engineering role using one or more programming language ecosystems.
• 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.

Preferred Skills

Any of the following additional skills are highly desirable.

• Experience developing software with Python, Go, or JavaScript/TypeScript and their ecosystems of tools and libraries.
• Experience with cloud-native environments, such as AWS (S3, lambda, CloudTrails, etc) or other cloud vendors.
• Experience with Kubernetes.
• Experience with DevOps in a Software as a Service (SaaS) environment.
• Experience in a data science or data engineering environment.
• Experience with AI/ML, Quantum Computing, or High Performance Computing (HPC).
• Experience in scientific research or software engineering for research.

Software Engineer – Required Technical and Professional Expertise

• BS/BA degree in a technical field, or equivalent experience.
• 4+ years of experience in a professional software engineering role using one or more programming language ecosystems.
• 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.

  Preferred Technical and Professional Expertise
  Any of the following additional skills are highly desirable.

• Experience developing software with Python, Go, or JavaScript/TypeScript and their ecosystems of tools and libraries.
• Experience with cloud-native environments, such as AWS (S3, lambda, CloudTrails, etc) or other cloud vendors.
• Experience with Kubernetes.
• Experience with DevOps in a Software as a Service (SaaS) environment.
• Experience in a data science or data engineering environment.
• Experience with AI/ML, Quantum Computing, or High Performance Computing (HPC).
• Experience in scientific research or software engineering for research.

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