Location: Gurgaon

Department: Technology & Engineering

Reporting to: CEO / CTO (to be finalised)

Employment type: Full-time | Leadership role

Experience: 12-18 years

Role Overview The Vice President - Technology will lead technology vision, engineering organisation, platform architecture, and product engineering strategy. The role will own the technology roadmap and ensure that the company’s API infrastructure, integration platforms, and AI-powered applications meet enterprise expectations for scalability, security, reliability, and performance.

Working closely with the CEO and the Product, Engineering, Sales, Customer Success, and business teams, the VP – Technology will translate business priorities into reliable, production-ready solutions while improving engineering velocity, technical quality, and cost efficiency.

Key Responsibilities:

1. Technology Strategy & Architecture

- Define and execute the long-term technology vision, architecture, and engineering roadmap in line with company objectives.
- Establish scalable, modular, API-first architecture across HyperVerify, HyperSync, and HyperApps.
- Guide architectural decisions across distributed systems, microservices, event-driven design, databases, cloud infrastructure, and multi-tenant platforms, based on product requirements.
- Build technology foundations that support growing API traffic, enterprise integrations, data-intensive workflows, and AI-powered automation.
- Evaluate emerging technologies and balance delivery speed with platform scalability, reliability, and technical-debt reduction.

2. Engineering Leadership & Execution

- Lead and scale teams across backend, frontend, platform engineering, DevOps, QA, data engineering, and AI/ML, as applicable.
- Establish clear engineering ownership, delivery standards, accountability, and performance expectations.
- Build a high-performing engineering organisation through hiring, mentoring, succession planning, and leadership development.
- Drive predictable sprint execution, release management, code quality, automated testing, and cross-functional delivery.
- Track engineering effectiveness through delivery predictability, deployment frequency, lead time, defect rates, and other relevant metrics.

3. API Platform,



Integrations & Enterprise Infrastructure

- Lead the development and evolution of secure, scalable, and highly available API platforms.
- Establish API design standards, versioning, authentication, authorisation, rate limiting, observability, and developer documentation.
- Strengthen integrations across HRMS, ERP, CRM, banking, insurance, and third-party data providers.
- Design resilient integration workflows with retries, idempotency, error handling, reconciliation, and auditability.
- Improve API onboarding, sandbox environments, developer experience, backward compatibility, and enterprise time-to-integration.

4. AI, Data & Intelligent Automation

- Define the technology strategy for AI-powered products, intelligent workflows, and enterprise automation.
- Lead the architecture and deployment of AI agents, document processing, and decision-support capabilities where relevant.
- Evaluate and integrate appropriate large language models, machine-learning systems, and retrieval-augmented generation architectures.
- Establish safeguards for AI accuracy, hallucination risk, sensitive-data handling, model evaluation, and human-in-the-loop review.
- Measure AI solutions against business outcomes such as accuracy, latency, workflow completion, and cost per transaction.

5. Security, Compliance & Reliability

- Establish engineering practices for information security, privacy, access management, and secure software development.
- Partner with Security, Legal, and Compliance teams on applicable requirements, including ISO 27001, SOC 2, data protection laws, and enterprise customer security reviews.
- Implement appropriate encryption, secrets management, vulnerability management, audit logging, and incident response.
- Establish service-level objectives, disaster recovery, backups, business continuity, and production monitoring.




- Lead root-cause analysis and corrective actions for critical incidents and ensure technology controls meet enterprise customer needs.

6. Cloud Infrastructure, DevOps & Cost Optimisation

- Own cloud architecture, infrastructure strategy, CI/CD pipelines, and infrastructure automation.
- Improve deployment reliability, release automation, workplace management, and developer productivity.
- Establish capacity planning, performance testing, observability, and proactive incident detection.
- Optimise cloud consumption, third-party API costs, AI inference costs, and infrastructure utilisation.
- Define high-availability and disaster-recovery strategies aligned with customer commitments and business risk.

7. Product Partnership & Business Alignment

- Partner with Product leadership to translate customer requirements and market opportunities into technology roadmaps.
- Support Sales and Solutions teams with technical discovery, solution architecture, security assessments, and proof-of-concept engagements.
- Resolve technical blockers affecting enterprise integrations, customer onboarding, and revenue realisation.
- Evaluate build-versus-buy decisions and strategic technology partnerships.
- Communicate technology trade-offs, delivery risks, and investment requirements to business leadership.

8. Cross-functional Leadership & Governance

- Work with the CEO and leadership team on business planning, technology investment, and growth priorities.
- Establish engineering governance, architecture reviews, technical documentation, and decision-making standards.
- Align engineering capacity and priorities with product commitments, customer needs, security requirements, and business outcomes.
- Promote a culture of ownership, collaboration, continuous improvement, and customer-focused innovation.

Key Performance Indicators (KPIs)

Performance will be measured against mutually agreed quarterly and annual targets, including:

Platform Performance

- API availability, reliability, latency, error rates, and throughput against agreed service-level objectives.
- Reduction in critical production incidents and mean time to recovery.

📌 VP Technology (Gurugram)
🏢 Consultbae India
📍 Gurugram