
Founding Engineering Lead
2 days ago
We are building a next-generation enterprise data and decision intelligence platform that combines data integration, semantic/ontology modeling, AI-driven analytics, and secure multi-cloud deployment orchestration. As our first engineering leader, you will architect the product from scratch, hire and mentor a world-class team, and drive execution across data engineering, backend, frontend, cloud infrastructure, and security.
You will function as both hands-on technical lead and strategic engineering manager, reporting directly to the founders.
Key Responsibilities- Product Architecture & Delivery
- Define and own the technical roadmap for a large-scale data platform with ontology modeling and decision-support workflows.
- Design scalable microservices, data pipelines, APIs, and deployment frameworks.
- Ensure system supports multi-cloud, hybrid, and edge environments.
- Team Leadership
- Build and lead an engineering team across data, backend, frontend, DevOps, and security.
- Establish engineering best practices (CI/CD, testing, documentation, code quality).
- Mentor engineers; foster a strong engineering culture of innovation and accountability.
- Cross-Functional Execution
- Work closely with founders, product, and business teams to translate customer use cases into technical features.
- Balance quick iterations for MVP with long-term scalable architecture.
- Security & Compliance
- Ensure platform design supports enterprise-grade security, RBAC, encryption, and compliance (ISO, HIPAA, FedRAMP-like if targeting government/regulated markets).
- Full-stack product architecture:
- Strong background in data engineering (ETL, Spark/Flink, pipelines, data lakes/warehouses).
- Proficiency in backend microservices (Java/Scala, Python, Go).
- Frontend/UI architecture experience (React, TypeScript).
- APIs & SDKs: Designing developer-friendly SDKs in Python/Java/TS.
- Cloud & Deployment:
- Deep knowledge of Kubernetes, container orchestration, and multi-cloud infrastructure (AWS/Azure/GCP).
- Experience with DevOps, CI/CD, infrastructure-as-code (Terraform/Helm).
- Security:
- Understanding of encryption, RBAC, and data governance.
- Architecture Thinking:
- Able to design semantic/ontology layers, abstraction APIs, and data-driven workflows.
- 10–15+ years in software engineering, with at least 5 in a technical leadership role (Eng. Manager, Director, or VP Eng).
- Proven track record of shipping complex, cross-functional enterprise platforms.
- Experience hiring and scaling 0→1 engineering teams.
- Strong communication skills; ability to engage with founders, customers, and engineers alike.
- Startup/"founding engineer" mindset: comfortable with ambiguity, speed, and hands-on coding when needed.
- Prior experience in data platforms, enterprise SaaS, or security-sensitive systems (e.g., fintech, healthtech, govtech).
- Exposure to graph DBs, knowledge graphs, or ontology modeling.
- Experience building low-code/no-code workflow tools.
- Understanding of AI/ML integration into enterprise decision workflows.
- Opportunity to architect the entire platform from day one.
- Direct reporting line to founders; strong influence on company vision.
- Competitive compensation + equity.
- A chance to build a globally relevant data & AI systems company with deep roots in India.
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