{"id":2304460,"url":"https://alion.io/job/dnv-sr-software-engineer","title":"Sr. Software Engineer","company":{"id":1755554,"name":"DNV","domain":"dnv.com","url":"https://alion.io/company/dnv-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":28,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":155000,"currency":"CAD","period":"year","gross":null,"usd_annual":108775},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"ISO 27001","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SOC 2","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-16T18:30:32Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-14T19:24:36Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"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.\nThis role sits within the Digital & Transformation organization, helping to advance how DNV performs Due Diligence, Verification & Assurance, and Renewables Certification work across Energy Systems.\nThis 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.\nWorking 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.\nThe 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.\nThis 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.\nThis 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 a DNV office or client location/site. Further details regarding role-specific requirements will be shared during the interview process**\nWhat You'll Do\nSoftware Engineering & Delivery\nDesign, develop, test, and maintain scalable application and platform capabilities using modern software engineering practices.\nBuild cohesive product experiences across web applications, backend services, APIs, user interfaces, and platform integrations.\nWork directly with Product and Architecture stakeholders to shape requirements, evaluate technical approaches, and translate product direction into maintainable, production-ready software.\nParticipate actively in code reviews, technical design discussions, estimation, delivery planning, and implementation decisions.\nWrite clean, well-structured, testable, and maintainable code that supports long-term product quality and team velocity.\nOwn product capabilities through design, implementation, deployment, monitoring, maintenance, and iterative improvement rather than treating delivery as complete when the initial feature is released.\nFull-Stack Application Development\nDevelop modern full-stack product capabilities using Python, Django, TypeScript, React, and related frontend and backend technologies.\nBuild 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.\nSupport application modernization efforts, including refactoring, technical debt reduction, framework upgrades, and migration from legacy patterns where appropriate.\nDevelop application capabilities used for structured review workflows, document-heavy collaboration, issue tracking, customer interaction, reporting, and delivery of technical work products.\nPartner with Product and design stakeholders to ensure application functionality is intuitive, reliable, and aligned with user workflows.\nModern Development & AI-Enabled Engineering\nUse AI-assisted development tools to accelerate coding, testing, documentation, refactoring, and engineering analysis.\nApply strong engineering judgment when using LLM-enabled workflows, ensuring generated or assisted code meets standards for quality, security, maintainability, and performance.\nContribute to reusable development patterns, documentation, and engineering practices that improve team velocity and consistency.\nUse AI-enabled tools where appropriate to support test generation, code review preparation, technical documentation, and developer productivity.\nArchitecture, Platforms & Interoperability\nDevelop APIs, backend services, frontend components, and integration patterns that support platform interoperability.\nCollaborate with Solution Architecture, Data & AI Engineering, Solution Engineering, and Platform Reliability to align technical decisions across the platform.\nHelp integrate applications with data services, AI-enabled capabilities, workflow configurations, authentication patterns, and enterprise systems.\nSupport the appropriate balance between custom application development, reusable platform services, low-code configuration, and API-enabled capabilities.\nHelp modernize and integrate existing applications into a cohesive platform architecture.\nContribute to modular application architecture and service boundaries across Python/Django applications, React frontend clients, APIs, shared services, data stores, and cloud-hosted capabilities.\nData & AI Integration\nIntegrate data-driven, search, agentic, and AI-enabled capabilities into production web applications using well-defined APIs and reusable application patterns.\nCollaborate 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.\nHelp ensure AI-enabled and data-driven features are implemented in ways that are reliable, testable, secure, and understandable to users.\nBuild application interfaces and services that make data, AI outputs, workflow status, and platform capabilities accessible within the user experience.\nDevOps, Reliability & Security\nContribute to source control and CI/CD pipelines, automated testing, deployment automation, environment management, monitoring, and incident readiness.\nBuild software with strong attention to reliability, performance, availability, scalability, and operational support.\nSupport observability practices including logging, monitoring, error handling, and production diagnostics.\nFollow secure development practices aligned with internal security standards, SOC 2 Type II, ISO 27001, and enterprise security expectations.\nCollaborate with Platform Reliability, Security, and Global Shared Services teams to support secure, reliable, and maintainable production systems.\nCollaboration & Technical Ownership\nWork effectively with Product, Solution Engineering, Data & AI Engineering, Platform Reliability, Architecture, Security, and regional teams in a globally distributed environment.\nTake ownership of assigned features, services, defects, and technical improvements from design through production support.\nCommunicate technical tradeoffs clearly and contribute to pragmatic engineering decisions.\nMentor less experienced engineers through code reviews, technical guidance, pairing, and shared engineering practices.\nContribute to a culture of accountability, collaboration, continuous improvement, and delivery excellence.\n Generous paid time off (vacation, sick days, company holidays, personal days)\nMedical, Dental and Vision benefit plans available to all employees\nSpecial programs - Employee Assistance Program and accident and critical illness options for you and your family\nWorkplace strategies for mental help resources available to all employees\nRegistered Retirement Savings Plan (RRSP) with company match\nCompany provided life insurance, short-term, and long-term disability benefits\nEducation Assistance program\nFlexible work schedule with hybrid opportunities\nConsumer discounts and rewards through our BenefitsHub\nAdvancement opportunities\n**Benefits vary based on position, tenure, location, and employee election**\nFor 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.”\nDNV 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.\n What is Required\nBachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.\n5+ years of experience developing production software in application engineering, software engineering, platform engineering, or related technical roles.\nStrong experience developing production web applications using modern full-stack technologies.\nStrong production experience developing backend applications, APIs, and services using Python and Django.\nExperience designing and consuming REST APIs and building distributed or service-oriented application capabilities.\nExperience building, modernizing, or operating scalable web applications in production environments, especially applications that support complex workflows, collaboration, reporting, document review, or customer-facing delivery.\nExperience building APIs, backend services, frontend components, integrations, and application capabilities in production environments.\nExperience developing, deploying, and supporting cloud-hosted applications, with practical experience in AWS strongly preferred.\nStrong understanding of software design, testing, code quality, maintainability, security, and performance.\nExperience with CI/CD, automated testing, source control, code review, and modern software delivery practices.\nDemonstrated experience using AI-assisted development tools or LLM-enabled coding workflows to improve development productivity.\nAbility to collaborate with Product, Architecture, Security, Platform Reliability, and cross-functional stakeholders in a matrixed environment.\nStrong English communication skills and ability to work effectively across globally distributed teams.\nWe conduct pre-employment background screening\nWhat is Preferred\nExperience in product-led or platform-based organizations.\nExperience with collaborative due diligence, document review, workflow, reporting, Q&A, risk management, or transaction delivery applications.\nFamiliarity with low-code or hybrid development environments.\nExperience supporting interoperability across multiple systems or enterprise platforms.\nFamiliarity with Microsoft Azure or experience working in a broader multi-cloud enterprise environment.\nBackground in energy, infrastructure, renewables, assurance, certification, or other technically complex industries.\nExperience with multi-cloud environments spanning Azure and AWS.\nExperience modernizing legacy applications or integrating acquired software products into a broader enterprise platform.\n**Immigration-related employment benefits, for example visa sponsorship, are not available for this 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