Engineer (Devops & Big Data)

SRE & Devops (Big Data) Immediate Joiner only Bengaluru, KA Exp- 3-6 Years You will be a member of our AI Platform Team, supporting the next generation AI architecture for various research and engineering teams within the organization. ? You'll partner with vendors and the infrastructure engineering team for security and service availability ? You'll fix production issues with engineering teams, researchers, data scientists, including performance and functional issues ? Diagnose and solve customer technical problems ? Participate in training customers and prepare reports on customer issues ? Be responsible for customer service improvements and recommend product improvements ? Write support documentation ? You'll design and implement zero-downtime to monitor and accomplish a highly available service (99.999%) ? As a support engineer, find opportunities to automate as part of the problem management process, creating automation to avoid issues. ? Define engineering excellence for operational maturity ? You'll work together with AI platform developers to provide the CI/CD model to deploy and configure the production system automatically ? Develop and follow operational standard processes for tools and automation development. Including: Style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards ? Deliver solutions that accelerate the activities, phenomenal engineers would perform through automation, deep domain expertise, and knowledge sharing Required Skills: ? Demonstrated ability in designing, building, refactoring and releasing software written in Java, Python. ? Strong experience with Big Data technologies including Hadoop, Spark, Flink, Hive, HDFS. ? Ability to handle data integration, bug fixing, performance optimization, and feature enhancements for distributed data pipelines. ? Having experience with building batch pipelines to support billion-plus-scale embedding generation for text, image and video is a big plus. ? Experience with data quality and governance. ? Having experience with vector similarity search and vector databases is a big plus. ? Debugging and triaging skills. ? Cloud technologies like Kubernetes, Docker and Linux fundamentals. ? Familiar with DevOps practices and continuous testing . ? DevOps pipeline and automations: app deployment/configuration & performance monitoring. ? Test automations, Jenkins CI/CD. ? Excellent communication, presentation, and leadership skills to be able to work and collaborate with partners, customers and engineering teams. ? Well organized and able to manage multiple projects in a fast paced and demanding environment. ? Good oral/reading/writing English ability.