Meditation.live - Technical Lead - Full Stack Development

Tech Lead (Full Stack | SaaS | AI | AWS | Automation | Analytics)Location : RemoteDepartment : Product & EngineeringReports To : CTOJob Type : Full-TimeWellness Coach is a leading AI-driven SaaS platform that helps enterprises enhance workforce well-being, engagement, and productivity. We partner with global enterprises, Fortune 500 companies, and high-growth startups to provide AI-powered coaching, rewards, analytics, and next-gen EAP solutions. Our platform seamlessly integrates with Microsoft Teams, Slack, Zoom, and leading HR platforms, enabling data-driven decision-making, compliance adherence, and personalized wellness programs. Backed by Softbank NY, Zoom Ventures, and Accomplice, we are rapidly scaling our product, leveraging AI, automation, and real-time analytics to transform enterprise Opportunity :We are looking for a Tech Lead to drive the next phase of innovation and scalability at Wellness Coach. This role requires a hands-on engineering leader with experience in scaling SaaS products, building AI-powered solutions, optimizing DevOps, and driving automation. You will lead a high-impact team of 6+ senior full-stack engineers, working directly with Product, Data Science, and DevOps teams to build and optimize AI-driven analytics, automation, and engagement platforms.What You Will Own :- Lead & mentor a team of senior engineers in a high-growth SaaS startup environment- Architect & scale our multi-tenant AI-driven SaaS platform for enterprise clients- Ensure security, compliance (SOC2, ISO 27001), and high-performance infrastructure- Optimize AI-powered automation, analytics, and data pipelines- Build highly scalable, modular applications using modern full-stack technologies- Define engineering best practices, DevOps strategy, and AI adoption roadmapsKey Responsibilities :Technology & Product Innovation :- Lead the architecture, development, and scaling of our SaaS wellness platform- Build and optimize a microservices-based, modular full-stack system using React.js, Next.js (frontend) and Node.js, TypeScript (backend)- Develop AI-powered analytics engines to provide real-time insights and predictive analytics for enterprise customers- Enhance personalization and engagement using AI-driven coaching, chatbots, and dynamic content deliveryEngineering Leadership & Team Management :- Lead, mentor, and scale a 6+ senior engineer team, ensuring high technical standards- Drive cross-functional collaboration between engineering, product, AI/ML, and DevOps teams- Conduct code reviews, enforce best practices, and foster a high-performance engineering culture- Align engineering efforts with business objectives and growth strategiesAI, Automation & Predictive Insights :- Leverage AI-powered tools like Cursor, OpenAI, Copilot to enhance developer productivity and automation- Build AI-driven engagement models to optimize user retention, enterprise ROI, and predictive wellness analytics- Optimize event-driven architectures (Kafka, AWS Kinesis) for real-time user behavior trackingSaaS Scalability, Security & Compliance :- Scale our multi-tenant SaaS infrastructure using AWS (Lambda, API Gateway, ECS, DynamoDB, Cognito, S3)- Implement enterprise-grade security measures aligned with SOC2, ISO 27001, and GDPR compliance- Ensure RBAC (Role-Based Access Control), OAuth authentication, and API security meet enterprise-grade standardsDevOps, CI/CD & Test Automation : - Own and optimize CI/CD pipelines for zero-downtime deployments and automated infrastructure scaling- Implement end-to-end test automation using Cypress, Jest, Selenium, Playwright- Ensure security-first development practices through Terraform, AWS CDK, and DevSecOps methodologiesMust-Have Skills & Experience : - 8+ years of full-stack experience in a high-growth SaaS company- Strong technical leadership experience, managing 6+ senior engineers- Expertise in AWS cloud services (Lambda, API Gateway, ECS, DynamoDB, Cognito, S3, SNS, SQS)- Proficiency in NoSQL databases (MongoDB, DynamoDB) & query optimization- Experience with AI tools like Cursor, OpenAI, Copilot for automation- Strong debugging, logging & monitoring skills (ELK, Datadog, OpenTelemetry)- Hands-on expertise in analytics engines & real-time event processingWhy Join Us?- Shape the future of AI-powered corporate wellness in a high-growth SaaS startup- Own and scale a global SaaS product used by Fortune 500 enterprises- Drive AI, analytics, automation, and DevOps innovation at scale- Competitive salary, stock options, and fast-track leadership growth opportunities- Remote-first culture, flexible work environment, and strong ownership mindset (ref:hirist.tech)