Sr. Software Engineer

The Senior Software Engineer is responsible for designing developing testing deploying and supporting production-grade software products and shared platform capabilities within DNVs 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 full-stack multi-cloud environment. The primary application stack includes Python Django TypeScript React and related web technologies with cloud services spanning both AWS and Microsoft Azure. 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 position can be located in our Toronto office presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either aDNV office or client location/site. Further details regarding role-specific requirements will be shared during the interview process**

What Youll Do

• Software Engineering & Delivery
• 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.

Full-Stack Application Development

• 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 where appropriate.
• 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.

Modern Development & AI-Enabled Engineering

• 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.

Architecture Platforms & Interoperability

• 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.

Data & AI Integration

• 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.

DevOps Reliability & Security

• 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.

Collaboration & Technical Ownership

• 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.

• Generous paid time off (vacation sick days company holidays personal days)
• Medical Dental and Vision benefit plans available to all employees
• Special programs Employee Assistance Program and accident and critical illness options for you and your family
• Workplace strategies for mental help resources available to all employees
• 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 with hybrid opportunities
• Consumer discounts and rewards through our BenefitsHub
• Advancement opportunities

**Benefits vary based on position tenure location and employee election**

For British Columbia (Vancouver) and Ontario (Toronto):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 $130000 - $155000.

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.

What is Required

• Bachelors or Masters 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.
• We conduct pre-employment background screening

What is Preferred

• 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.

**Immigration-related employment benefits for example visa sponsorship are not available for this position**

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