About Platform Services
The energy transition has moved past the technology-proving phase. Today, the defining challenge is orchestrating millions of distributed energy assets — reliably, securely, and at the pace the grid demands.
Platform Services is the digital growth engine for DNV Energy Systems North America, built on a fundamental conviction: the grid doesn't need more hardware. It needs better intelligence.
Our mission is to bridge infrastructure complexity with commercial execution by delivering secure, AI-native SaaS platforms that turn digital ambition into operational reality for Tier-1 utilities and energy operators.
Our vision is to unify the fragmented legacy architectures of utility program operations into a single, modern data model — building the operational nervous system that accelerates the path to decarbonization. As we scale to support 4x customer-account growth over the next three years, this is one of the most consequential platform-engineering challenges in the energy sector.
The
VP Engineering & Managing Director India Operations is the senior India-based executive at Platform Services, accountable for the technology foundation of the business and for the day-to-day health and culture of the Chennai site. This is a dual-mandate role: chief technical leader for the SaaS platform, cloud and AI infrastructure, data and platform engineering, and engineering productivity and senior site executive for the 200+ person Chennai organization, supported by Director of India Operations. The role exists at the intersection of platform engineering, data, and AI-native development. The leader translates product strategy into secure, reliable, production-grade systems while building an engineering organization that uses AI deliberately and responsibly. They drive the platform and infrastructure investments required to scale to 4x customer-account growth — multi-program platform adoption, expanded transaction volumes, and the technical foundation for the AI tier.
Key Responsibilities Platform & Engineering Leadership - Own the SaaS platform architecture — cloud infrastructure, DevSecOps, data engineering, AI model serving, MLOps pipelines.
- Architect and deliver the unification of legacy data models into a single, modern platform foundation to unlock enterprise-scale cross-selling of multi-program platform thesis and AI capability scaling.
- Translate product strategy into scalable, maintainable, production-ready systems with clear engineering ownership and delivery discipline.
- Own engineering-side quality assurance, platform reliability, deployment velocity, and engineering productivity.
- Drive disciplined execution using DORA metrics, automation, and continuous improvement practices.
AI-Native Engineering Practices - Drive deliberate adoption of AI-native engineering practices — responsible use of LLMs for coding, testing, documentation, code review, and operational tooling.
- Define how engineering teams leverage AI to materially improve development velocity while preserving engineering fundamentals (code quality, testability, security posture, observability).
- Ensure AI-enabled and data-driven capabilities are production-grade, secure, scalable, and operable — not POCs in production.
Architecture, Platforms & Interoperability - Oversee system architecture, platform design, and integration patterns supporting long-term scalability and maintainability.
- Promote reusable components, shared services, APIs, and consistent data and integration standards across the platform.
- Guide the appropriate balance between low-code platforms (eTRACK+ workflow heritage) and custom engineering — knowing when each is the right tool.
- Enable interoperability across core systems in partnership with Product and adjacent digital teams.
DevOps, Reliability & Security - Establish and oversee end-to-end DevOps practices — CI/CD, automated testing, deployment, monitoring, incident management.
- Ensure enterprise-grade reliability, performance, and availability of all production systems.
- Act as the matrixed Operator — execute security remediations defined by Information Security, run production infrastructure that serves AI models defined by Enterprise AI.
- Lead engineering readiness and compliance for SOC 2 Type II, ISO 27001, and secure development standards.
India Site Leadership - Serve as the senior Chennai site executive — accountable for culture, engagement, talent retention, and the site's external presence.
- Own India HR partnership and statutory compliance — PF, ESIC, DPDP Act, POSH, gratuity, and related obligations — supported by the Director of India Operations.
- Oversee facilities, site operations, and India business continuity.
- Build and sustain a high-performance, accountable engineering culture that India talent chooses to join and stay at.
Cross-Functional Partnership - With Product: Engineering capacity allocation, delivery trade-offs, technical roadmap input. Success looks like: clear quarterly capacity commitments, transparent trade-off conversations, no roadmap surprises in QBRs.
- With Enterprise AI: AI infrastructure boundary, MLOps ownership, model serving reliability. Success looks like: jointly-owned model serving uptime, no friction at the capability/infrastructure boundary.
- With Trust & InfoSec: Independent policy execution. Success looks like: high security remediation rate, no release-blocking conflicts.
- With US-based leadership: Senior India-based technical voice in global forums. Success looks like: visible presence at customer architecture reviews, executive QBRs, and strategic planning.
Success Metrics - Unified data model Phase delivered; multi-program platform foundation operational.
- Platform uptime ≥99.95% on enterprise tier with weekly production releases and no quality regressions.
- AI model serving uptime ≥99.9% and reliable MLOps pipelines (jointly owned with Enterprise AI team).
- Security remediation rate >95% against Trust & InfoSec-defined SLAs.
- Measurable engineering productivity improvement via AI-native practices. People Development
- Build and strengthen a culture based on our Purpose, Vision, and Values (PVV).
- Build a culture of learning and, through empowerment, ensure staff are supported.
- Focus on driving the growth of the business through implementation of people management strategies and a well-aligned workforce plan.
- Drive recruitment and staff retention across the department.
- Collaboratively develop competency and succession planning for critical roles and capabilities within the department.
- Identify and plan staff development using the DNV development model (70:20:10) to ensure continuous improvement and service delivery.
- Ensure the team is utilized at the appropriate level given the mix of business development, innovation, and delivery responsibilities.