Senior Backend & API Engineer for AI-Ready Data

DNV GL USA, INC.; San Diego (CA); Hybrid; USD 140.000 - 210.000; Vollzeit

Zusammenfassung

DNV GL USA, INC. is seeking a Senior Software Developer to design, develop, and maintain data services, APIs, and backend systems that power scalable platform capabilities in a hybrid San Diego, CA setting.

You will work across Python, SQL, FastAPI, and cloud-native technologies to deliver AI-ready data foundations and secure, production-ready software solutions. The role involves collaborating with Product, AI Engineering, Application Engineering, Solution Engineering, Platform Reliability,

Aufgaben

• 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.

Kenntnisse

Python

SQL

FastAPI

Data Modeling

API Development

Cloud-Native Platforms

Tools

Cloud Platforms (AWS/Azure/GCP)

Jobbeschreibung

DNV GL USA, INC. is seeking a Senior Software Developer to design, develop, and maintain data services, APIs, and backend systems that power scalable platform capabilities in a hybrid San Diego, CA setting.

You will work across Python, SQL, FastAPI, and cloud-native technologies to deliver AI-ready data foundations and secure, production-ready software solutions. The role involves collaborating with Product, AI Engineering, Application Engineering, Solution Engineering, Platform Reliability,