This is a remote position.
• Support the development and maintenance of company-wide frameworks and libraries that enable faster, better, and
more informed decision-making within the business, creating significant business value from data and analytics.
• Ensure data availability and accessibility for prioritized Advanced Analytics scope, and maintain stable, scalable, and
modular data science pipelines from data exploration to deployment.
• Acquire, ingest, and process data from multiple sources and systems into our cloud platform, especially AWS, ensuring
data integrity and security.
• Collaborate with data scientists to map data fields to hypotheses, and curate, wrangle, and prepare data for advanced
analytical models.
• Implement and manage robust security measures to ensure compliant handling and management of data, including
access strategies aligned with Information Security, Cyber Security, and Data Privacy principles.
• Develop and deploy smart automation tools based on cloud technologies, aligned with business priorities and needs.
• Oversee the timely delivery of Advanced Analytics solutions in collaboration with business stakeholders, ensuring
alignment with business goals.
• Collaborate closely with the Data Science team and AI Engineers to understand their platform needs and lead the
development of solutions that support their work.
• Troubleshoot and resolve issues related to the AWS platform, ensuring minimal downtime and optimal performance.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Drive continuous improvement of the AWS Cloud platform by contributing and implementing new ideas and processes.
Requirements
• At least 4+ years of relevant experience, with a strong track record in deploying solutions and applications on an AWS
cloud environment.
• Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying
linkages across disparate data sets.
• Proficiency in multiple programming languages such as JavaScript, Python, Scala, or Java.
• Extensive knowledge and experience with various database technologies, including distributed processing frameworks,
relational databases, MPP databases, and NoSQL data stores.
• Deep understanding of Information Security principles to ensure compliant handling and management of data.
• Significant experience with cloud platforms, preferably AWS and its ecosystem.
• Advanced knowledge of development in CI/CD environments.
• Strong background in data warehousing and ETL tools.
• Proficiency in DevOps practices and tools such as Jenkins, Terraform, and related technologies.
• Proficiency in serverless architecture and services such as AWS Lambda.
• Understanding of security best practices and implementation in cloud environments.
• Ability to understand business objectives and create cloud-based solutions to meet those objectives.
• Result-driven, analytical, and creative thinker.
• Proven ability to work with cross-functional teams and bridge the gap between business and data science.
• Fluency in English is a must; additional languages are a plus.
Additional Technical Skills
• Experience with front-end frameworks, preferably React JS.
• Knowledge of back-end frameworks such as Django, Flask, or Node.js.
• Familiarity with database technologies such as Redshift, MySQL, or DynamoDB.
• Understanding of RESTful API design and development.
• Experience with version control systems such as CodeCommit or similar tools.
Benefits
Compensation will be highly competitive. This is an opportunity to work on production-grade AI, advanced analytics,
cloud infrastructure, enterprise data workflows, and scalable deployment systems at Revmind Labs AI.
For India-based candidates, benefits may include:
• Competitive fixed compensation(upto 15LPA) aligned to experience, ownership level, and role scope.
• Remote-first work setup, with practical flexibility around working hours where delivery and collaboration needs are met.
• Paid time off, sick leave, and applicable Indian public holidays.
• Health insurance support or medical benefits, depending on employment structure and company policy.
• Learning and upskilling support for relevant engineering, cloud, AI, product, and DevOps areas.
• Home-office, equipment, or software support where applicable to the role.
• Opportunity to work directly with founders and senior stakeholders on high-impact AI and analytics products.
• Unusual growth opportunity as Revmind Labs AI scales its product, engineering culture, delivery standards, and
GTM-stage trajectory.
• A serious builder environment with high ownership, direct feedback, low ego teamwork, and meaningful technical
problems.