Senior Software Engineer

The Senior Software Engineer is responsible for designing, developing, testing, deploying, and supporting production-grade software products and shared platform capabilities within DNV’s Digital & Transformation organization. This role sits within the Application Engineering section and contributes to the development and modernization of scalable web applications that support digital delivery across Energy Systems.

This role sits within the Digital & Transformation organization, helping to advance how DNV performs Due Diligence, Verification & Assurance, and Renewables Certification work across Energy Systems.

This is not a project-based delivery or staff-augmentation role. Engineers are expected to develop deep product knowledge and remain accountable for the quality, maintainability, and operation of the software they build.

Working in close partnership with Product leadership, Data & AI Engineering, Solution Engineering, Platform Reliability, Solution Architecture, and Platform Security & Compliance, this role helps bring application capabilities, data services, AI-enabled features, workflows, and APIs into one cohesive platform and product experience.

The Senior Software Engineer designs, builds, tests, deploys, and supports scalable software across a modern Microsoft-oriented full-stack environment. The primary stack includes C# and .NET 10, Entity Framework Core, SignalR, MySQL, Redis, TypeScript, React, Redux, Tailwind CSS, Docker, .NET Aspire, Azure Functions, Azure Storage, Azure AI Search, and Azure DevOps. The role requires strong engineering fundamentals, practical cloud experience, and the ability to collaborate effectively across globally distributed teams.

This role supports custom software development, application modernization, and integration with low-code or hybrid development environments, helping establish shared patterns, APIs, reusable components, and maintainable application architecture across the platform.

**This role is based at our DNV office in Chennai, India. Further details regarding role-specific requirements will be shared during the interview process.**

Design, develop, test, and maintain scalable application and platform capabilities using modern software engineering practices.

Build cohesive product experiences across web applications, backend services, APIs, user interfaces, and platform integrations.

Work directly with Product and Architecture stakeholders to shape requirements, evaluate technical approaches, and translate product direction into maintainable, production-ready software.

Participate actively in code reviews, technical design discussions, estimation, delivery planning, and implementation decisions.

Write clean, well-structured, testable, and maintainable code that supports long-term product quality and team velocity.

Own product capabilities through design, implementation, deployment, monitoring, maintenance, and iterative improvement rather than treating delivery as complete when the initial feature is released.

Use AI-assisted development tools to accelerate coding, testing, documentation, refactoring, and engineering analysis.

Apply strong engineering judgment when using LLM-enabled workflows, ensuring generated or assisted code meets standards for quality, security, maintainability, and performance.

Contribute to reusable development patterns, documentation, and engineering practices that improve team velocity and consistency.

Use AI-enabled tools where appropriate to support test generation, code review preparation, technical documentation, and developer productivity.

Develop APIs, backend services, frontend components, and integration patterns that support platform interoperability.

Collaborate with Solution Architecture, Data & AI Engineering, Solution Engineering, and Platform Reliability to align technical decisions across the platform.

Help integrate applications with data services, AI-enabled capabilities, workflow configurations, authentication patterns, and enterprise systems.

Support the appropriate balance between custom application development, reusable platform services, low-code configuration, and API-enabled capabilities.

Help modernize and integrate existing applications into a cohesive platform architecture.

Contribute to modular application architecture and service boundaries across .NET applications, frontend clients, shared services, data stores, and Azure-hosted capabilities.

Integrate data-driven, search, agentic, and AI-enabled capabilities into production web applications using well-defined APIs and reusable application patterns.

Collaborate with Data & AI Engineering on Azure AI Search indexes, retrieval pipelines, model and agent outputs, calculation services, data APIs, evaluation approaches, and user-facing AI experiences.

Help ensure AI-enabled and data-driven features are implemented in ways that are reliable, testable, secure, and understandable to users.

Build application interfaces and services that make data, AI outputs, workflow status, and platform capabilities accessible within the user experience.

Contribute to Azure DevOps repositories and pipelines, automated testing, deployment automation, environment management, monitoring, and incident readiness.

Build software with strong attention to reliability, performance, availability, scalability, and operational support.

Support observability practices including logging, monitoring, error handling, and production diagnostics.

Follow secure development practices aligned with internal security standards, SOC 2 Type II, ISO 27001, and enterprise security expectations.

Collaborate with Platform Reliability, Security, and Global Shared Services teams to support secure, reliable, and maintainable production systems.

Work effectively with Product, Solution Engineering, Data & AI Engineering, Platform Reliability, Architecture, Security, and regional teams in a globally distributed environment.

Take ownership of assigned features, services, defects, and technical improvements from design through production support.

Communicate technical tradeoffs clearly and contribute to pragmatic engineering decisions.

Mentor less experienced engineers through code reviews, technical guidance, pairing, and shared engineering practices.

Contribute to a culture of accountability, collaboration, continuous improvement, and delivery excellence.

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.

5+ years of experience developing production software in application engineering, software engineering, platform engineering, or related technical roles.

Strong experience developing production web applications using modern full-stack technologies.

Strong production experience developing backend applications and services using C# and modern .NET.

Experience designing and consuming REST APIs and building distributed or service-oriented application capabilities.

Experience building, modernizing, or operating scalable web applications in production environments, especially applications that support complex workflows, collaboration, reporting, document review, or customer-facing delivery.

Experience building APIs, backend services, frontend components, integrations, and application capabilities in production environments.

Experience developing, deploying, and supporting cloud-hosted applications, with practical experience in Microsoft Azure strongly preferred.

Strong understanding of software design, testing, code quality, maintainability, security, and performance.

Experience with CI/CD, automated testing, source control, code review, and modern software delivery practices.

Demonstrated experience using AI-assisted development tools or LLM-enabled coding workflows to improve development productivity.

Ability to collaborate with Product, Architecture, Security, Platform Reliability, and cross-functional stakeholders in a matrixed environment.

Strong English communication skills and ability to work effectively across globally distributed teams.

Experience in product-led or platform-based organizations.

Experience with collaborative due diligence, document review, workflow, reporting, Q&A, risk management, or transaction delivery applications.

Familiarity with low-code or hybrid development environments.

Experience supporting interoperability across multiple systems or enterprise platforms.

Familiarity with AWS or experience working in a broader multi-cloud enterprise environment.

Background in energy, infrastructure, renewables, assurance, certification, or other technically complex industries.

Experience with multi-cloud environments spanning Azure and AWS.

Experience modernizing legacy applications or integrating acquired software products into a broader enterprise platform.