Founding Engineering Lead

2 days ago


Greater Delhi Area, India Bharyat Advanced Systems Pvt Ltd Full time
Founding Engineering Lead / VP Engineering – Data & AI Platform About the Role 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, Dev Ops, 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, Fed RAMP-like if targeting government/regulated markets).

Required Technical Skills 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, Type Script).

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 Dev Ops, 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.

Leadership & Experience10–15+ 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.

Preferred (Nice to Have)Prior experience in data platforms, enterprise Saa S, 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.

What We Offer 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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