Senior Cloud DevOps Engineer
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AI Summary
Develop and maintain cloud-based frameworks and data pipelines on AWS to support advanced analytics and AI solutions. Implement robust security measures and automation tools while collaborating with data scientists and stakeholders to align technical solutions with business goals.
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.
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