
11 - 50 employees
🤖 Artificial Intelligence
💊 Pharmaceuticals
🏢 Enterprise
Artificial Intelligence • Pharmaceuticals • Enterprise
RevMind srl is an enterprise-native AI systems integrator that builds and deploys full‑stack AI solutions for commercial teams, with a particular focus on pharma and consumer packaged goods (CPG). They embed engineers inside client organizations to handle everything from data ingestion and AI/ML components to user-facing dashboards and deployment within the customer's cloud and compliance constraints. RevMind emphasizes regulated-environment readiness, pharma commercial expertise (field force effectiveness, promotional analytics, MSL productivity, market mix), and reusable accelerators to shorten time-to-production while maintaining enterprise rigor.
🕒 June 8
Amazon Redshift
AWS
Cloud
Docker
DynamoDB
EC2
ETL
Flask
Java
JavaScript
Microservices
MySQL
Node.js
NoSQL
Python
React
React Native
Scala
Terraform
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11 - 50 employees
🤖 Artificial Intelligence
💊 Pharmaceuticals
🏢 Enterprise
Artificial Intelligence • Pharmaceuticals • Enterprise
RevMind srl is an enterprise-native AI systems integrator that builds and deploys full‑stack AI solutions for commercial teams, with a particular focus on pharma and consumer packaged goods (CPG). They embed engineers inside client organizations to handle everything from data ingestion and AI/ML components to user-facing dashboards and deployment within the customer's cloud and compliance constraints. RevMind emphasizes regulated-environment readiness, pharma commercial expertise (field force effectiveness, promotional analytics, MSL productivity, market mix), and reusable accelerators to shorten time-to-production while maintaining enterprise rigor.
• Own the design, deployment, and reliability of Revmind's AWS cloud platform • Design, deploy, and manage secure, scalable AWS infrastructure using Infrastructure as Code • Build and maintain CI/CD pipelines and automation scripts to streamline deployment and reduce manual effort • Implement containerized workloads and serverless architectures for platform and analytics needs • Establish and enforce code quality and testing standards across pipelines • Establish observability through logging, metrics, tracing, and alerting • Monitor platform performance and troubleshoot production incidents with root cause analysis • Implement security best practices, compliance controls, and infrastructure hardening • Collaborate with front-end, back-end, AI Engineering, and business stakeholders to deliver AI and analytics solutions • Define, document, and drive continuous improvement of cloud platform best practices and processes • Work as a Forward Deployed Engineer embedded remotely with a Fortune 20 healthcare client
• 4+ years deploying and managing solutions on AWS • Strong hands-on experience with Terraform, CloudFormation, and CI/CD such as GitHub Actions • Proficiency in Python and Bash for automation • Working knowledge of JavaScript, Scala, or Java • Experience with Docker containerization and AWS Lambda serverless architecture • Strong understanding of microservices architecture • Proficiency with AWS Lambda, S3, EC2, CloudWatch, SNS, Secrets Manager, SQS, and API Gateway • Strong knowledge of relational and NoSQL database technologies • Experience with data warehousing and ETL practices • Deep understanding of information security principles and cloud security best practices • Hands-on exposure to Akamai Noname, Prisma Cloud, New Relic, CloudWatch, or equivalent tools • Experience with React Native/JS and back-end frameworks such as Flask, Node.js, or FastAPI • Familiarity with Redshift, MySQL, DynamoDB, and RESTful API design
• Competitive fixed compensation 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 • A serious builder environment with high ownership, direct feedback, low ego teamwork, and meaningful technical problems • Career gaps or non-linear paths will not count against candidates by default
Apply Now🕒 June 1
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