Top C# Jobs in San Diego, CA

Develop and support Veeam Backup for Microsoft 365, collaborate across product development, and help plan and implement product features. The role requires strong C# expertise, knowledge of algorithms and data structures, relational database development, and public cloud experience. Familiarity with Windows, Linux, Exchange, SharePoint, Office 365, event-driven systems, and commercial software products is advantageous.

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.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Designs and develops foundational Azure compute platform technologies. Leads architecture and design for complex systems, writes secure and performant production code, establishes test strategies, performs code reviews, debugs system issues, and drives cross-team technical alignment. The role also applies AI-enabled engineering practices, improves engineering quality, and supports security hardening across cloud infrastructure solutions.

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.

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.

Design and build automation platforms, validation systems, telemetry pipelines, performance frameworks, and diagnostic tools for qualifying next-generation Azure Storage hardware. Investigate distributed software, hardware, firmware, networking, and operating-system issues; analyze performance data; improve scalability and reliability; and contribute to technical architecture across Azure Storage infrastructure.

Develops and operates scalable Azure cloud platforms integrating specialized partner technologies. Responsibilities include implementing features, participating in code reviews, applying testing and debugging practices, analyzing telemetry and incidents, using AI-assisted development tools, and contributing to deployment automation. The role collaborates with engineers, product managers, and partners to deliver reliable services for enterprise and AI infrastructure workloads.

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.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Leads the design and delivery of secure, cloud-native software platforms supporting complex workflows, data-intensive applications, and AI capabilities. Provides architectural guidance across distributed systems, APIs, microservices, data pipelines, workflow orchestration, configuration-driven rules, and RAG/GraphRAG solutions. Ensures scalability, observability, auditability, security, and compliance while mentoring engineers, reviewing technical deliverables, improving CI/CD and incident response, and serving as an escalation point for complex technical decisions.

Designs and guides implementation of cloud-native software solutions using .NET and Azure. Creates architecture documentation, supports engineering teams, and ensures systems meet security, reliability, scalability, observability, performance, and cost goals. Collaborates with product, business, engineering, and DevOps stakeholders on APIs, event-driven systems, CI/CD, infrastructure as code, and AI-enabled capabilities. Requires hands-on software development and architecture experience in distributed or cloud-based applications.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

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.

Lead design, development, and operation of highly available AKS Resource Provider and control-plane services. Drive cluster lifecycle, upgrades, networking, security, scalability, observability, resiliency, and incident prevention for large-scale distributed cloud systems. Collaborate across Azure engineering teams, lead architectural decisions, improve tooling and automation, troubleshoot production issues, and mentor engineers while supporting reliable Kubernetes workloads across cloud and edge environments.

Lead the architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drive innovations in scalability, performance, security, durability, and efficiency while collaborating with AI researchers and cloud infrastructure teams. Mentor engineers, guide technical strategy, and help shape Azure Blob Storage into an AI-native platform supporting zettabyte-scale storage.

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.

The Lead Technology Engineer will lead IT systems implementation, ensure network security, manage integrations, and enhance operational efficiency through automation.

Supports configuration and development of the FASTDS-VS COTS application, including requirements analysis, reference table and user access configuration, scripting, debugging, source control, testing, implementation specifications, and production support. The role requires familiarity with software development methodologies, SQL databases, object-oriented development, coding standards, and Agile practices. Preferred experience includes web services, APIs, AWS, and SQL stored procedures.

Develop, test, debug, document, and maintain software for the Sea Hawk Eye Emitter Library Development program. Analyze user and system needs, develop applications and scripts, collaborate with subject matter experts, resolve software issues, prepare operating instructions, and ensure software standards are met. The role requires knowledge of SQL, Python, JavaScript, C#, Git, Docker, virtual machines, cloud technologies, and cybersecurity concepts.

Leads architecture, technical strategy, and implementation of scalable cloud-native enterprise applications on Microsoft Azure. Defines engineering standards, microservices and API architectures, reviews designs and code, guides development teams, supports feature development, and drives modernization, performance, security, and operational excellence. Collaborates with stakeholders and product teams to translate business requirements into secure, reliable, maintainable distributed solutions while mentoring engineers and influencing long-term technology direction.