Senior/ Lead Platform Engineer

1 week ago

Bangalore Karnataka, India Tymex Full time

Role Overview We are seeking a Senior Lead Platform Engineer who will take ownership of the design implementation and operation of our core data analytics and ML infrastructure This role spans across platform architecture DevSecOps DataOps and ML infrastructure and requires a combination of strategic thought leadership and hands-on execution You will build integrate and operate platforms on AWS and Databricks enabling scalable secure production-grade ML AI solutions Key Responsibilities Architect and implement end-to-end data and ML platforms data lakes warehouses streaming and batch pipelines model training deployment infrastructure on AWS Databricks Lead DevSecOps and DataOps practices infrastructure as code IaC CI CD pipelines for data ML workflows secure multi-account multi-region cloud operations Integrate AWS services e g S3 Redshift Kinesis Lambda EKS ECS with Databricks runtime Delta Lake Unity Catalog etc to build scalable performant pipelines Build and operate ML infrastructure training clusters model versioning MLOps toolchain e g MLflow model monitoring and observability automatic retraining workflows Establish data governance lineage quality observability standards across data pipelines and ML workflows Mentor engineering teams define architectural best practices and guide implementation of high-scale data ML systems Optimize system performance cost and scalability diagnose and resolve large-scale production issues Continuously evaluate new tools and technologies in the areas of cloud data platform DevSecOps ML infrastructure and apply them to drive innovation Requirements 7 years of experience in data platform architecture cloud ML infrastructure engineering or related roles Deep technical expertise in Databricks and AWS demonstrated ability to design integrate and operate solutions spanning both platforms Strong hands-on implementation skills you will not just design but build deploy and operate the platform Proven track record of building and operating scalable ML AI platforms in production model training deployment Expertise in Apache Spark Delta Lake modern data pipeline frameworks batch streaming Strong background in infrastructure as code Terraform CloudFormation CI CD for data ML and DevSecOps practices Proficiency in Python and SQL familiarity with Scala or equivalent is a plus Experience with data governance data lineage observability and MLOps frameworks e g MLflow Airflow dbt Bonus Experience in fintech regulated industries or high-security environments Benefits Performance bonus up to 2 months 13th month salary pro-rata 15-day annual leave 3-day sick leave 1 birthday leave 1 Christmas leave Meal and parking allowance are covered by the company Full benefits and salary rank during probation Insurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory SMART goals and clear career opportunities technical seminar conference and career talk - we focus on your development Values-driven international working environment and agile culture Overseas travel opportunities for training and working related Internal Hackathons and company s events team building coffee run blue card Work-life balance 40-hr per week from Mon to Fri

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