Senior Software Developer

DNV • San Diego, CA

7d • $130,000 - $155,000 • Hybrid

About The Position

The Senior Software Developer designs, develops, tests, and maintains data services, APIs, backend systems, and AI-ready data foundations that enable scalable platform capabilities across Digital & Transformation. Working in the Data & AI Engineering section, the role applies hands-on expertise in Python, SQL, FastAPI, data modeling, API development, and cloud-native technologies. It supports both deterministic domain workflows through robust backend services and AI-enabled capabilities through clean, structured, searchable, and governed data foundations.

The role works with Product, AI Engineering, Application Engineering, Solution Engineering, Platform Reliability, Architecture, and Security teams to translate complex business and domain requirements into reliable, performant, secure, and maintainable software. It contributes across solution design, implementation, code review, testing, documentation, production support, integration, data preparation, reliability, and continuous improvement, while participating in agile product development.

The position is based in DNV's San Diego, California office, with a hybrid schedule typically involving three days per week at a DNV office or client location/site. Other DNV offices may also be considered. Role-specific requirements will be shared during the interview process.

Requirements

• Bachelor's or master's degree in computer science, software engineering, information systems, engineering, or a related field, or equivalent practical experience.
• At least 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 in 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 for 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 with Azure, AWS, or comparable cloud platforms; Azure experience is preferred.
• 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, multidisciplinary teams.
• Strong written and verbal English communication skills.
• Must complete pre-employment drug and background screening.

Nice To Haves

• Background in energy, renewables, infrastructure, assurance, certification, or other technically complex industries.
• Experience in product-led, platform-based, or software-as-a-service environments.
• Experience deploying agents securely and efficiently.
• 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.

Responsibilities

• Design, develop, test, and maintain APIs and platform capabilities that support Product and Engineering objectives.
• Contribute hands-on expertise across solution design, implementation, code review, testing, documentation, and production support.
• Translate business requirements and domain expertise into scalable, maintainable, 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 and support consistent implementation across platform capabilities.
• Collaborate with cross-functional teams to deliver secure, high-quality, reliable software for applications, workflows, analytics, reporting, and AI-enabled capabilities.
• Design and build Python services and FastAPI endpoints that expose platform capabilities and domain-specific functionality.
• Develop SQL solutions for storing, querying, transforming, validating, and serving business data.
• Collaborate on API contracts, integration patterns, performance considerations, and system interoperability.
• Implement secure, scalable, maintainable APIs for internal and customer-facing applications, and help connect applications, data services, AI capabilities, and enterprise platforms.
• Prepare, structure, validate, store, retrieve, and govern data for AI-enabled workflows, analytics, search, and customer-facing applications.
• Contribute to data preparation approaches such as metadata enrichment, retrieval optimization, evaluation datasets, and quality feedback mechanisms.
• Partner with AI Engineering on retrieval-augmented workflows, document-processing pipelines, evaluation, and AI solution development.
• Develop and maintain secure, traceable, maintainable AI-ready data assets and support deterministic business logic through APIs, reference data, calculations, and reusable services.
• Develop observable, scalable, secure, performant, production-ready software and contribute to CI/CD, automated testing, deployment automation, monitoring, logging, and operational support.
• Follow secure software development practices and implement appropriate data protection, access management, auditability, validation, and operational resilience controls.
• 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.
• Use AI-assisted development tools to improve coding, testing, documentation, troubleshooting, and engineering productivity, while supporting responsible use of these workflows.
• Contribute to continuous improvement, share engineering knowledge and reusable patterns, and promote software quality and delivery efficiency.
• Participate in agile activities including sprint planning, backlog refinement, estimation, reviews, and retrospectives.
• Communicate technical concepts, implementation approaches, and trade-offs to technical and non-technical stakeholders, and contribute to technical documentation and knowledge sharing.

Benefits

• Paid time off, including vacation, sick days, company holidays, and personal days.
• Multiple medical and dental benefit plans, plus vision benefits.
• Spending accounts, including FSA, dependent care, commuter benefits, and a company-seeded HSA.
• Employer-paid, therapist-led virtual care services through Talkspace.
• 401(k) with company match.
• Company-provided life insurance and short- and long-term disability benefits.
• Education reimbursement program.
• Flexible work schedule with hybrid opportunities.
• Charitable matched giving and volunteer rewards through the Impact Program.
• Company-paid volunteer time off.
• Career advancement opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior