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About the Role
This role is within DNV’s Digital & Transformation organization, focusing on the design, development, testing, deployment, and support of production-grade software products and shared platform capabilities. The Senior Software Engineer will contribute to the modernization of scalable web applications supporting digital delivery across Energy Systems, with a focus on Due Diligence, Verification & Assurance, and Renewables Certification work. This is a product-focused role, not project-based, requiring deep product knowledge and accountability for software quality and operation. The engineer will collaborate with various teams to integrate application capabilities, data services, AI features, workflows, and APIs into a cohesive platform experience.
Responsibilities
- 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.
- Develop modern full-stack product capabilities using Python, Django, TypeScript, React, and related frontend and backend technologies.
- Build responsive, reusable, and accessible frontend experiences using TypeScript and React, integrated with secure, scalable, and maintainable backend services and APIs built using Python and Django.
- Support application modernization efforts, including refactoring, technical debt reduction, framework upgrades, and migration from legacy patterns.
- Develop application capabilities used for structured review workflows, document-heavy collaboration, issue tracking, customer interaction, reporting, and delivery of technical work products.
- Partner with Product and design stakeholders to ensure application functionality is intuitive, reliable, and aligned with user workflows.
- 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 Python/Django applications, React frontend clients, APIs, shared services, data stores, and cloud-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 source control and CI/CD 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.
Requirements
- 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, APIs, and services using Python and Django.
- 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 AWS 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.
- Pre-employment background screening is conducted.
- 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 Microsoft Azure 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.
Skills
- Python
- Django
- TypeScript
- React
- Web technologies
- AWS
- Microsoft Azure
- REST APIs
- CI/CD
- Automated testing
- Source control
- Code review
- AI-assisted development tools
- LLM-enabled coding workflows
- Cloud-hosted applications
- Full-stack development
- Backend development
- Frontend development
- API development
- Service-oriented architecture
- Application modernization
- Observability
- Secure development practices
Location
- Toronto
Work Type
- Hybrid
Experience Level
- Senior
- 5+ years of experience
Education Level
- Bachelor's degree or Master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.
Salary/Compensations
- $130,000 - $155,000
Benefits
- Generous paid time off (vacation, sick days, company holidays, personal days)
- Medical, Dental and Vision benefit plans
- Employee Assistance Program
- Accident and critical illness options
- Workplace strategies for mental help resources
- Registered Retirement Savings Plan (RRSP) with company match
- Company provided life insurance, short-term, and long-term disability benefits
- Education Assistance program
- Flexible work schedule
- Consumer discounts and rewards through BenefitsHub
- Advancement opportunities
About the Company
- We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.
Equal Opportunity
- DNV provides a reasonable compensation range for this role. The actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and specific location. For the cities of Vancouver and Toronto, the range of starting pay for this role is $130,000 - $155,000.
- DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications, merit, or business need, without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
- Immigration-related employment benefits, for example visa sponsorship, are not available for this position.