Requirements · Degree in Computer Science, Mathematics, or a related field · 5+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations · 5+ years of experience architecting and deploying end-to-end ML solutions in production environments · Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale · Strong background in building and operating large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP · Demonstrated ability to solve highly complex and ambiguous problems, setting direction for others Preferred Qualifications · MS or PhD in Computer Science, Machine Learning, or a related discipline · Experience with Graph ML and graph technologies such as GNNs or Graph RAG · Deep expertise with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue · Track record of mentoring engineers and influencing cross-team initiatives Salary based on qualifications, experience and region up to USD 170000 plus benefits. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before.