oracle
Senior Software Developer
DNV
Toronto, CAN
Full-time
Senior · 5+ years experience
Onsite
Discovered 5 days ago
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Key Skills for This Role
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Qualifications
- What is Required
- Bachelor's or master’s degree in computer science, Software Engineering, Information Systems, Engineering, or a related field, or equivalent practical experience.
- 5+ years of experience developing production software applications, APIs, backend services, platform capabilities, or data-driven solutions.
- Strong hands-on experience with Python, SQL, and API development frameworks such as FastAPI.
- Experience designing and implementing scalable, maintainable, and secure software systems.
- Experience working within Agile, Scrum, DevOps, or similar software delivery environments.
- Experience using Azure DevOps, Jira, or comparable development and delivery tools.
- Strong understanding of software architecture, API design, data modeling, automated testing, observability, performance optimization, and production support.
- Experience building services or APIs that support application workflows, analytics solutions, AI-enabled capabilities, or enterprise platforms.
- Experience with CI/CD, source control, code review, monitoring, logging, and secure development practices.
- Experience working with Azure, AWS, or comparable cloud platforms, with preference for Azure experience.
- Ability to translate complex business and domain requirements into practical software solutions.
- Strong collaboration, problem-solving, communication, and organizational skills.
- Ability to work effectively in globally distributed and multidisciplinary teams.
- Strong written and verbal English communication skills -The employee would be required to draft and review internal documents in English to be used throughout North America
- We conduct pre-employment background screening
- What is Preferred
- Background in energy, renewables, infrastructure, assurance, certification, or other technically complex industries is a huge plus.
- Experience working in product-led, platform-based, or software-as-a-service environments.
- Experience deploying agents in a secure and efficient way
- Experience developing backend services, platform APIs, or shared engineering capabilities.
- Familiarity with low-code or hybrid development environments.
- Experience integrating software solutions across multiple systems or enterprise platforms.
- Experience supporting AI-enabled applications, retrieval-based systems, document processing workflows, or machine-learning-adjacent solutions.
- Familiarity with vector databases, data governance, observability, lineage, or AI data preparation workflows.
- Experience with Azure cloud services, Azure DevOps, cloud security patterns, identity management, and enterprise platform security.
- Experience contributing to reusable software standards, API guidelines, architectural patterns, or shared engineering practices.
- Immigration-related employment benefits, for example visa sponsorship, are not available for this position
Responsibilities
- 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 $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.
- Design, develop, test, and maintain APIs, and platform capabilities that support Product and Engineering objectives.
- Contribute hands-on engineering expertise across solution design, implementation, code review, testing, documentation, and production support.
- Translate business requirements and domain expertise into scalable, maintainable, and production-ready software solutions.
- Follow and contribute to engineering standards for API design, data modeling, testing, observability, documentation, and maintainability.
- Develop reusable services and components that enable consistent implementation across platform capabilities.
- Collaborate with cross-functional teams to deliver secure, high-quality, and reliable software solutions.
- Support software solutions that enable applications, workflows, analytics, reporting, and AI-enabled capabilities.
- Design and build Python-based services and FastAPI endpoints that expose platform capabilities and domain-specific functionality.
- Develop reliable SQL solutions for storing, querying, transforming, validating, and serving business data.
- Collaborate with Application Engineering teams on API contracts, integration patterns, performance considerations, and system interoperability.
- Implement secure, scalable, and maintainable APIs that support internal and customer-facing applications.
- Contribute to integration solutions connecting applications, data services, AI-enabled capabilities, and enterprise platforms.
- Support adoption of reusable platform services, shared capabilities, and standardized integration patterns.
- Prepare, structure, validate, store, retrieve, and govern data used by AI-enabled workflows, analytics solutions, search capabilities, and customer-facing applications.
- Contribute to data preparation approaches including metadata enrichment, retrieval optimization, evaluation datasets, and quality feedback mechanisms.
- Partner with AI Engineering teams on retrieval-augmented workflows, document processing pipelines, evaluation activities, and AI solution development.
- Develop and maintain AI-ready data assets that are secure, traceable, maintainable, and suitable for downstream consumption.
- Support the implementation of deterministic business logic through APIs, reference data, calculations, and reusable services where traditional software approaches are most appropriate.
- Develop software solutions that are observable, scalable, secure, performant, and production-ready.
- Contribute to CI/CD pipelines, automated testing, deployment automation, monitoring, logging, and operational support activities.
- Follow secure software development practices aligned with organizational security requirements and industry standards.
- Implement appropriate controls for data protection, access management, auditability, validation, and operational resilience.
- Collaborate with Platform Reliability and Security teams to ensure services and data assets are governed, documented, and maintainable.
- Support troubleshooting, performance tuning, root cause analysis, and production issue resolution.
- Leverage AI-assisted development tools to improve coding, testing, documentation, troubleshooting, and engineering productivity.
- Apply modern software development practices that balance speed, quality, maintainability, and security.
- Contribute to the effective and responsible use of AI-assisted engineering workflows and tools.
- Support continuous improvement initiatives that enhance developer productivity, software quality, and delivery efficiency.
- Share engineering knowledge, reusable patterns, and best practices through collaboration and code reviews.
- Collaborate with Product, AI Engineering, Application Engineering, Solution Engineering, Architecture, Reliability, and Security teams to deliver integrated platform capabilities.
- Participate in agile development activities including sprint planning, backlog refinement, estimation, reviews, and retrospectives.
- Communicate technical concepts, implementation approaches, and trade-offs clearly to both technical and non-technical stakeholders.
- Contribute to technical documentation, implementation guidance, and knowledge sharing across engineering teams.
- Support a culture of continuous learning, collaboration, and engineering excellence.
- 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 $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.
Preferred Qualifications
- What is Preferred
About DNV
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