Work closely with Tech Anchor, Product Manager and Product Owner to deliver Gen AI solution in GCP using Python and other tools for business across the company. Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems. Develop and manage current CI/CD ecosystem and tools Find ways to automate and continually improve current CI/CD processes and release processes Help innovate standardize machine learning development practices. Experiment, innovate and share knowledge with the team. Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. Work with other software engineers to cooperatively deliver user stories, as well as solve highly complex technical software problems using industry best practices Leverage latest ML/Gen AI / GCP/AIOPs/Kubernetes technologies Established and active employee resource groups A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline. 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. 3+ years of experience with Cloud Engineering / Services Experience in MLOPs and Gen AI - LLM, Development experience with building RAG and Multi Agent Applications Experience with ML workflow orchestration tools: Airflow Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++ Experience in DevOps: Jenkins/Tekton etc. Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience in container management solution: Kubernetes, Docker Experience in scripting language: Bash, PowerShell etc. Experience with Infrastructure as code: Terraform etc Master focused in Computer Science / Machine Learning or related field Experience working with Google Cloud platform(GCP) - specifically Google Kubernetes engine, Terraform, and infrastructure Experience in programming concepts such as Paired Programming, Test Driven Development, etc. Knowledge of coding and software craftsmanship practices. Must be a quick learner and open to learning new technology. Experience applying agile practices to solution delivery. Must be team-oriented and have excellent oral and written communication skills. Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.
