DevOps, Full Stack Developer

Job description

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
The IBM Technology Lifecycle Services (TLS) group is looking for a technically oriented, talented, innovative and enthusiastic full stack developer to join our TLS AI DevOps team. We are looking for someone who has deep working experience in modern AI technologies to help us adopt the watsonx.ai technology as part of our AI4Infrastructure initiative. AI4Infrastructure consists of various use cases that shall help us increase productivity for our support engineers, reduce time-to- resolution for client cases and increase support deflection rates. As a full stack engineer you will be responsible for designing, writing and testing high-quality code, solving complex challenges. Must be capable of refactoring experimental code into pipeline component code ready to deploy in production. There will be opportunities to work closely with IBM Research, Architects, Data Scientists, and a high performance development team throughout this process. This role may require some attention after normal working hours in order to collaborate with the WW team, or troubleshoot and resolve production issues experienced by clients.

The undisputed priority for IBM is to scale watsonx as the AI for business platform for enterprise clients and establish IBM as the top-of-mind choice for AI and foundation models.
Our watsonx suite makes it possible for clients to build, train, tune and deploy AI across their business, leveraging critical, trusted data wherever it resides. TLS is aiming to become client zero in capturing the full potential of this platform.

Required Technical and Professional Expertise

·  5 - 8 years of relevant industry experience
·  Minimum of 3 years of experience in a DevOps Developer or Engineer role or similar.
·  Proficiency in scripting and Python programming language
·  Experience in analytics and interactive visualization platforms like Grafana
·  Strong understanding of CI/CD pipelines and tools like Tekton
·  Experience in Terraform modules.
·  Experience with IBM cloud and cloud-based services
·  Working knowledge with ML Ops and maintenance
·  Proficiency in containerization technologies (e.g., Docker, Kubernetes, OCP).
·  Can understand and program Python code from in-code comments and high-level description/instructions
·  Has experience with scripting/automating AI/ML experiments and benchmarking
·  Specific libraries: Python libraries for Deep NNs and LLMs/foundation models (e.g. transformers, BERT, GPT, BLOOM, T5), DB libraries jaydebeapi and psycopg2 (IBM DB2 and Postgress), indexing and clustering (scikit-learn and FAISS)
·  Comfortable/experienced with: logging, pathlib, json, pandas (data manipulation), scikit-learn (preprocessing, model evaluation metrics, visualization), time (timestamp processing)
·  Strong experience with Angular / typescript
·  Experience in Monitoring and operating Kubernetes clusters
·  Understanding of networking and security concepts
·  Self-starter, organised with self-learning skills, ability to work independently
·  Great communication skills, self-managed and a team player
·  Ability to work effectively as part of a worldwide, agile development team.
·  Fluent English

Preferred Technical and Professional Expertise

·  Skills for implementation, operations and maintenance of DevOps environnent - MLOps, DevOps, UX Design
·  Experience in deploying and maintaining services and pipelines in IBM Cloud containerized environments.
·  Experience in automating the deployment and scheduling of micro- services