Head of Engineering

Role- VP of Engineering

Experience- 8-10 years

Location- Bangalore

Notice Period- upto 30 days

What You’ll Own:

● Hands-On Technical Leadership & Core Tech Stack Development

○ Architect and code the first scalable version of our booking portal, routing engine, mobile-first

CRM, and operational dashboard.

○ Contribute directly to the codebase, setting the standard for engineering excellence and coding

culture.

○ Build systems that handle India-scale logistics, real-time demo scheduling, and payment flows,

with high reliability and low latency.

○ Lead backend architecture and microservices strategy using tools like Go, Node.js, Kafka,

Postgres, Redis, Kubernetes, and Terraform.

○ Coordinate API strategy across frontend (React), mobile (React Native), and edge interfaces,

using GraphQL and gRPC contracts.

● Full-Stack & Platform Ownership

○ Collaborate with frontend engineers on React-based interfaces; enforce design system and

performance best practices.

○ Work closely with mobile engineers on React Native, helping optimize cold-start time, offline

sync, and background processing.

○ Oversee API versioning, mobile/web contract integrity, and cross-platform interface stability.

○ Enable observability, tracing, and proactive alerting across the platform (Grafana, Prometheus,

Sentry, etc.).

● Systems Thinking, Automation & DevOps

○ Design and implement scalable, resilient, and modular backend architectures (evolving from

monolith to microservices).

○ Integrate and automate CRM, logistics, inventory, payments, and customer apps into a

cohesive real-time ERP-lite system.

○ Champion CI/CD pipelines, zero-downtime deploys, infrastructure as code (Terraform), and

rollback safety protocols.

○ Set and uphold engineering SLAs and SLOs (e.g., 99.9% uptime, sub-1s booking latency).

● AI-Enabled Systems & Innovation

○ Drive the integration of AI/ML into operational workflows: predictive routing, lead scoring,

demand forecasting, personalized journeys.

○ Collaborate with data and product teams to deploy models using frameworks like TensorFlow,

PyTorch, or OpenAI APIs.

○ Ensure infrastructure supports scalable ML workflows and retraining cycles.

● Security, Compliance & Performance

○ Implement secure coding practices and enforce API security (OAuth2, RBAC, audit logging).

○ Lead efforts around payment data protection, customer data privacy, and infra-level security

(SOC 2 readiness).

○ Champion system performance tuning, cost optimization, and scalability testing (load testing,

caching, indexing).

● Leadership & Cross-Functional Collaboration

○ Hire, mentor, and grow engineers across specializations: backend, frontend, mobile, data, and

DevOps.

○ Foster a culture of autonomy, excellence, ownership, and rapid iteration.

○ Collaborate with Product, Design, Ops, and CX to shape roadmap, triage bugs, and ship high-

impact features.

Qualifications:

● Technical Depth: Proven track record of designing, building, and scaling complex software systems from

scratch. Strong proficiency in at least one modern backend language (e.g., Go, Python, Node.js, Java) and

experience with relevant frameworks and databases.

● Architectural Acumen: Demonstrated ability to architect scalable, fault-tolerant, and secure systems.

Experience with distributed systems, microservices, message queues (Kafka, RabbitMQ), and cloud-native

architectures (Kubernetes, Docker).

● Hands-on Experience: A genuine passion for coding and a willingness to be hands-on with technical

challenges, debugging, and code reviews.

● AI/ML Exposure: Experience with integrating AI/ML models into production systems, understanding of data

pipelines for AI, and familiarity with relevant tools/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is

highly desirable.

● Leadership & Mentorship: Experience leading and mentoring engineering teams, fostering a collaborative

and high-performance environment. Ability to attract, hire, and retain top engineering talent.

● Problem-Solving: Exceptional analytical and problem-solving skills, with a pragmatic approach to delivering

solutions in a fast-paced, ambiguous environment.