Key Strategy & Vision :
- Define and execute the companys technology roadmap aligned with product and business goals.
- Evaluate and integrate emerging technologies (AI, GenAI, cloud-native systems) to maintain a competitive edge.
- Balance innovation and long-term scalability with short-term delivery requirements.
Hands-On Technical Leadership :
Architect, design, and review scalable, secure, high-performance SaaS applications.Remain hands-on when necessary coding, prototyping, and troubleshooting critical challenges.Drive adherence to best practices in architecture, DevSecOps, and performance engineering.Full-Stack & Cloud Development Oversight :
Lead teams in modern stacks : React / Vue.js, Node.js, Python, .NET Core.Architect multi-tenant SaaS and cloud-native solutions (AWS / Azure / GCP).Oversee DevOps pipelines (CI / CD), Infrastructure-as-Code (Terraform / CloudFormation), and container orchestration (Docker, Kubernetes).Team Leadership & Mentorship :
Build, inspire, and scale engineering teams (developers, interns, contractors).Mentor next-generation leaders and foster a culture of innovation and accountability.Operational Excellence :
Manage the end-to-end software development lifecycle.Ensure compliance with ISO, HIPAA, and CRM-industry standards.Optimize systems for security, scalability, performance, and cost efficiency.Stakeholder Collaboration :
Partner with Product, Business, and Design teams to deliver user-centric solutions.Represent technology leadership in client, investor, and industry forums.Communicate technical strategy in a clear, boardroom-ready narrative.Skills & Qualifications :
Experience : 12+ years in technology leadership roles with proven SaaS scaling impact.Technical Mastery : Hands-on coding expertise in JavaScript / TypeScript (Node.js, React / Vue.js), Python, and .NET Core.Cloud & Infrastructure : Deep AWS expertise (EC2, S3, RDS, IAM, scaling / monitoring) with multi-cloud exposure.Architecture : Strong experience in multi-tenant SaaS, event-driven microservices, distributed systems.AI Integration : Demonstrated success in integrating AI / GenAI (LLMs, NLP, predictive analytics) into enterprise products.Data Engineering : PostgreSQL mastery; exposure to NoSQL, time-series, graph DBs, data lakes, streaming.DevOps : CI / CD pipelines, Kubernetes orchestration, observability (Prometheus, Grafana, ELK).Security & Compliance : ISO standards, HIPAA, GDPR, privacy-by-design frameworks.Domain Knowledge : Prior exposure to CRM, workflow automation, SaaS platforms.Deployment Models : Experience designing common codebases with cloud-native and on-premise deployment flexibility (open-source style).Leadership : Track record in building and scaling high-performing engineering teams.Business Acumen : Ability to bridge business strategy with technology execution.Engagement Structure :
Part-Time Role to begin with, with a path to Full-Time Co-Founder position based on mutual fit.Probation Period : Initial 3 months to evaluate contributions and synergy.Equity Allocation : Post-probation, equity will be allocated on a subscription basis, ensuring long-term alignment and growth.(ref : iimjobs.com)