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Vodex.ai
Head

Head of Engineering

Vodex.aiVisit website ↗·Posted 1 week ago

Location

Bengaluru, Karnataka, India

Required Skills

Node.jsPythonJavaGoAWSAzureGCPDockerKubernetesPostgreSQLRedisNoSQLAIDevOpsCI/CDAgileScrumMicroservicesTerraform

About the Role

Company Overview
"Vodex revolutionizes outbound customer calls using advanced Generative AI technology. Unlike traditional machine-driven calls, Vodex converses in a remarkably human-like voice, ensuring a natural and friendly interaction. It boasts a 98% accuracy in speech recognition, ensuring seamless communication.

With Vodex as your outbound calling solution, your business experiences enhanced efficiency, speed, and quality. Elevate your business performance and step up your game with Vodex."

Position Summary

We are looking for a Head of Engineering to lead and scale our frontend, backend and cloud infrastructure while building a high-performance engineering team. This role requires strong technical depth, execution capability, and startup agility.

You will own system architecture, frontend, backend scalability, cloud infrastructure, and engineering delivery. In the early stages, you will be deeply involved in coding, reviewing, and architectural decisions while laying the foundation for long-term scale.

Key Responsibilities

  • • ⁠ ⁠Technical Leadership (Hands-On)

  • • Design and own scalable backend architecture.

  • • Lead backend development (APIs, microservices, databases, integrations).

  • • Experience of working with telephony systems like SIP Trunk, PBX, Websockets, Gateways etc.

  • • Experience of working with AI tools like Claude, Cursor, Bolt, Gemini, ChatGpt etc.

  • • Conduct architecture reviews and enforce best coding practices.

  • • Own technical debt management and refactoring roadmap.

  • • ⁠ ⁠Cloud . Infrastructure Ownership

  • • Design and manage cloud infrastructure (AWS/Azure/GCP).

  • • Implement infrastructure as code (Terraform/CloudFormation).

  • • Establish CI/CD pipelines and DevOps best practices.

  • • Ensure high availability, fault tolerance, and disaster recovery.

  • • Monitor uptime, performance, and cost optimization.

  • • ⁠ ⁠Scalability . Performance Engineering

  • • Design systems for high concurrency and performance.

  • • Optimize database queries, caching strategies (Redis, CDN).

  • • Implement load balancing, auto-scaling, and containerization (Docker/Kubernetes).

  • • Lead security architecture (authentication, encryption, compliance).

  • • ⁠ ⁠Team Building . Engineering Culture

  • • Hire and mentor frontend, backend and AI engineers.

  • • Define engineering processes (Agile/Scrum).

  • • Establish code review standards and quality benchmarks.

  • • Foster a culture of ownership, accountability, and innovation.

  • • ⁠ ⁠Cross-Functional Collaboration

  • • Work closely with Product to convert requirements into scalable solutions.

  • • Partner with Sales/Operations to ensure system reliability.

  • • Translate technical complexity into business impact for leadership.

  • • Required Technical Expertise

  • • Strong backend expertise in Node.js / Python / Java / Go (any modern backend stack).

  • • Experience designing distributed systems and microservices.

  • • Strong database experience (PostgreSQL/MySQL . NoSQL like Mongo/loading data systems).

  • • Deep cloud experience (GCP preferred).

  • • Hands-on experience with:

  • • Docker . Kubernetes

  • • Caching (CARE) Redis

  • • Message queues (Kafka/RabbitMQ)

  • • API security . OAuth/JWT

  • • Monitoring tools (Prometheus, Grafana, CloudWatch)

  • • What We’re Looking For in a Startup Leader

  • • Builder mindset — comfortable with 0→1 and 1→10 scaling.

  • • Comfortable working with ambiguity and evolving priorities.

  • • Ability to balance speed with architecture discipline.

  • • Strong ownership and accountability.

  • • Willingness to get hands dirty with production issues.

  • • Success Metrics (First 12 Months)

  • • Stable and scalable backend architecture

  • • 99.9%. system uptime

  • • Reduced infrastructure cost with optimized cloud usage

  • • On-time product releases

  • • Strong, independent backend team in place

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