Top Remote C# Jobs in San Diego, CA

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Develops and supports secure full-stack applications and integrations across Microsoft Dynamics 365, Business Central, Power Platform, and Azure. Responsibilities include building C#/.NET APIs and services, creating React-based web experiences, implementing authentication and cloud security, troubleshooting production systems, and managing CI/CD through GitHub or Azure DevOps. The role partners with technical and business stakeholders to translate requirements into maintainable solutions, resolve defects, and improve platform reliability.

Develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product teams, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security and privacy practices, and root-cause analysis. Use approved AI-assisted development tools responsibly across coding, testing, debugging, documentation, and delivery while maintaining accountability for software quality, reliability, performance, and maintainability.

Leads hands-on Appian application development across design, coding, testing, deployment, maintenance, production support, and incident triage. Serves as the senior developer on an Agile team, coordinating with product owners, business analysts, UX, and QA. Produces architecture and technical documentation, guides integrations and security modeling, oversees development tasks, performs peer reviews, and supports compliance, risk management, and continuous Appian platform improvement.

Develops and supports customer-specific technical solutions for Jenzabar customers. Responsibilities include defining requirements, scoping solutions, programming, integrations, system updates, troubleshooting customizations, preparing statements of work, and communicating technical solutions to non-technical users. Collaborates with customers and internal developers across multiple projects.

Develop custom applications, integrations, and system updates for Jenzabar customers using C#, .NET, XML, SQL, REST APIs, and Boomi. Responsibilities include requirements gathering, solution design, troubleshooting, programming, customer consulting, statements of work, training, collaboration, and mentoring application programmers.

Leads and mentors software engineering teams while remaining 20–30% hands-on with coding, debugging, APIs, architecture, and scalable platform services. Coordinates engineering, product, quality, SRE, security, and operations teams to deliver reliable SaaS software. Owns technical direction, roadmap influence, incident management, operational excellence, KPIs, resource allocation, hiring, performance management, and continuous improvement across globally distributed teams.

Provides hands-on technical leadership for complex software initiatives, including architecture, cloud-native development, implementation planning, code quality, testing, DevOps, scalability, reliability, and production troubleshooting. The role mentors engineers, leads technical execution, manages risks and technical debt, and collaborates with Product, UX, QA, Security, and Infrastructure teams to deliver secure, scalable SaaS solutions.

Early-career Software Engineer developing and maintaining Windows desktop fluid-flow simulation applications. Responsibilities span user interfaces, application logic, data models, integrations, testing, debugging, build automation, CI/CD, and modernization. The role involves collaboration with engineering, QA, product, and domain experts while contributing clean, maintainable code and participating in reviews, bug triage, and build pipeline rotations.

Leads the design and development of scalable SaaS applications, including AI-powered features such as semantic search, vector databases, RAG, and LLM orchestration. Provides technical leadership, mentorship, architectural guidance, code reviews, and engineering standards enforcement. Collaborates cross-functionally to translate requirements into robust solutions, champions AI-assisted development tools, builds developer experience tooling, and drives innovation, quality, security, and continuous improvement across the engineering organization.

Build and maintain Salesforce production code as part of an Agile Scrum team. The associate engineer will fix scoped bugs, implement Apex and Lightning Web Components changes, write unit tests, use Git and Jira, and move releases through sandbox, UAT, and production with Gearset. The role includes learning Salesforce development practices, participating in sprint ceremonies, using AI coding assistants responsibly, and joining shared on-call and deployment rotations.

Leads QA automation initiatives by developing and maintaining automated functional, regression, API, and integration test suites for Guidewire software and mobile applications. Improves CI/CD pipelines, performs root cause analysis, drives quality improvements, collaborates with developers and product owners, and mentors junior QA engineers.

Build and maintain scalable, cloud-native APIs and high-value core system components using .NET and related technologies. Lead software architecture and testing discussions, enhance core offerings, collaborate cross-functionally, and ensure quality through code reviews, unit testing, functional testing, telemetry, and performance tuning. Mentor teammates and contribute to continuous technical and process improvement.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Develop and support a cloud-native workload credentials management solution within a SaaS platform. Responsibilities include designing scalable full-stack services, orchestration, APIs, distributed systems, and microservices; providing technical leadership; leading projects through delivery; collaborating cross-functionally; mentoring engineers; and applying engineering best practices. The role requires extensive Go development, cloud and SaaS expertise, modern JavaScript frameworks, and experience operating enterprise systems at scale.

Design, build, and operate distributed storage and file-system platforms for cloud-scale AI training and inference. Architect storage and caching for Kubernetes and GPU workloads, improve performance, reliability, observability, and resiliency, diagnose cross-layer production issues, and lead architecture reviews. Partner across infrastructure, networking, operating systems, and AI platform teams while mentoring engineers and shaping long-term storage strategy.

Leads complex SaaS and digital banking implementations, including configuration, customization, validation, troubleshooting, third-party integrations, and post-go-live stabilization. Serves as the primary technical resource for client engagements, coordinates with project managers, engineers, vendors, and customers, and translates technical issues into actionable solutions. Develops implementation documentation, improves processes, mentors junior engineers, manages concurrent priorities, and communicates platform enhancement opportunities to product and engineering teams.

Build and support Ivanti’s global corporate website and digital experiences across the full web stack. Develop responsive, accessible front-end experiences and C#/.NET applications, CMS components, APIs, integrations, databases, and deployment pipelines. Collaborate with Creative and Marketing, implement analytics and privacy tooling, troubleshoot complex production issues, and manage projects from estimation through launch and support. Use AI coding tools while maintaining quality, security, performance, and maintainability.

Develop and maintain integrations across modern .NET services and legacy .NET Framework applications. Build REST APIs, event-driven services, shared libraries, and synchronous or asynchronous workflows. Own work through testing, deployment, production support, and on-call rotations. Contribute to API standards, platform architecture, documentation, code reviews, and onboarding. Use AI-assisted coding tools daily across development, testing, reviews, and documentation.

Develop, test, and ship features for patient-facing applications, booking systems, clinical operations tools, and internal platforms. Collaborate with senior engineers on implementation, code reviews, debugging, troubleshooting, and automation for scheduling and patient engagement workflows. Build foundational experience with mobile applications, healthcare data systems, APIs, databases, version control, and production software while contributing to a collaborative engineering team.

Design, build, and maintain scalable applications, APIs, mobile platforms, booking systems, clinical integrations, and healthcare data systems. Own features end to end, make architectural decisions, improve security and reliability, and contribute to cloud deployment, CI/CD, monitoring, and DevOps. Collaborate with clinical, operations, and patient experience teams to deliver secure digital tools that improve patient care and clinic efficiency.

Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Develop and maintain mission-critical full-stack web and database applications, ETL pipelines, reporting solutions, and system integrations. Responsibilities include writing and testing code, creating advanced T-SQL and SSRS solutions, improving existing programs, documenting data lineage, troubleshooting applications and databases, and collaborating with business and technical teams in an Agile environment.

Designs and evolves DraftKings’ regulated prediction-markets exchange, including market data, order entry, matching, clearing, and settlement. Owns the technical roadmap, architecture, scalability, reliability, performance, and operational health of distributed systems. Leads resilience testing, incident improvements, design reviews, mentoring, and cross-functional technical alignment. The role also requires building practical AI tooling and guardrails, integrating with external partners, and balancing compliance, cost, and platform strategy.