Top Senior C# Jobs in San Diego, CA

Design, develop, test, and maintain backend services and APIs for secure fintech and crypto products. Collaborate with engineering and product teams on architecture, code reviews, system design, and deployment using Azure. Optimize backend performance and scalability, resolve defects, follow DevOps and CI/CD practices, and build reliable systems supporting payments, transfers, and other financial activity.

Senior .NET Software Engineer responsible for end-to-end software development using Microsoft technologies. Requires extensive experience in SDLC, design principles, technical documentation, web application development with .NET, Agile/SCRUM, Entity Framework, database design, and version control. Familiarity with project tools JIRA, TEMPO, Bitbucket, and Confluence preferred.

Senior .NET Web App Developer responsible for designing and building .NET web applications, implementing Oracle PL/SQL solutions, using Entity Framework and Blazor, applying design principles, producing technical documentation, performing performance tuning, and collaborating in Scrum/Agile teams with Bitbucket, JIRA, Tempo, and Confluence.

Develop and maintain web-based applications using .NET/C#, JavaScript, HTML/CSS, SQL and Oracle/SQL Server. Perform root cause analysis, collaborate with teams for requirements, follow Agile SDLC, present change demonstrations, and use Azure DevOps/Jira for lifecycle management. Implement and maintain Blazor components.

Develops and supports enterprise EDI integrations by creating and troubleshooting maps, configuring IBM Sterling B2B Integrator, onboarding trading partners, monitoring transactions, coordinating testing and deployments, and resolving production issues. The role integrates EDI with Infor M3 ERP and other systems using APIs, web services, databases, and secure communication protocols. It also documents technical processes, performs root cause analysis, and supports production .NET, IIS, SQL Server, and integration environments.

Lead architecture and hands-on development of Azure Kubernetes Service capabilities for AI workloads. Design secure, reliable, scalable distributed systems; coordinate engineering teams; define testing and deployment strategies; improve observability and operational readiness; investigate production issues; and mentor engineers while advancing engineering practices.

Designs, develops, and integrates business applications across Dynamics 365, Power Platform, Azure, and custom Microsoft-stack solutions. Responsibilities include solution architecture, application customization, APIs and event-driven integrations, platform modernization, ALM, CI/CD, deployment pipelines, and production support. The role also establishes engineering standards, evaluates technologies, collaborates with technical and business teams, and mentors junior staff.

Leads the design, development, architecture, and maintenance of scalable software systems. Provides technical leadership, conducts code reviews, ensures development best practices, and mentors junior engineers. Collaborates with technical and non-technical stakeholders to deliver reliable solutions supporting clinical decision-making and patient outcomes.

Lead architecture and development for AKS Flex, scaling etcd and Kubernetes control planes for distributed node fleets. Design remote-node provisioning, lifecycle automation, Kubernetes-native APIs, secure bootstrap, upgrades, and reliability systems across Azure, on-premises, edge, and other clouds. Drive performance testing, production operations, open-source collaboration, technical strategy, cross-team alignment, and mentorship while solving distributed-systems, storage, security, and scalability challenges.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Develops and executes automated integration, installation, acceptance, and qualification tests for embedded software. Responsibilities include analyzing requirements, integrating software components, debugging issues, documenting procedures, submitting problem reports, and collaborating with software, systems, hardware, and test engineering teams. The role supports full software development lifecycle activities in development, laboratory, and operational environments and requires on-site work, travel up to 25%, and an active Top Secret SCI clearance with SAP eligibility.

Leads end-to-end software development for AI-infused enterprise applications, including architecture, database design, coding, testing, deployment, and service reliability. Builds Copilot and agentic solutions using Azure and modern full-stack technologies. Provides technical leadership, mentors engineers, establishes quality and security practices, supports enterprise integrations, and collaborates with product teams, program managers, UX designers, and data scientists to deliver scalable commercial software.

Own the networking architecture and roadmap for AKS Flex and Unbounded, enabling secure, reliable, high-performance Kubernetes connectivity across sites, clouds, edge environments, and on-premises infrastructure. Design overlay and underlay networks, routing, encrypted tunnels, eBPF dataplanes, and distributed systems for high-latency and partitioned environments. Integrate InfiniBand and RDMA for AI workloads, lead cross-team architecture efforts, improve global fleet performance and reliability, and participate in production operations and on-call rotations.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Design, develop, and operate scalable software platforms and automation for Azure network qualification infrastructure. Build tools for device provisioning, configuration, lifecycle management, testing, telemetry, and health validation. Develop AI-powered agents for troubleshooting, root-cause analysis, and engineering productivity. Create reliable distributed systems with observability, diagnostics, automated recovery, and scalability while collaborating across software and network engineering teams.

Own partner integrations from technical discovery through production launch and stabilization. Translate business and technical needs into integration designs, requirements, data mappings, and documentation. Investigate APIs, databases, logs, and code to troubleshoot issues; validate integrations through testing and data verification; and coordinate product, engineering, underwriting, operations, and external partners. Use AI-assisted tools to create specifications and guides, improve integration patterns, and drive progress through influence and clear communication.

Leads a distributed software engineering team responsible for hiring, coaching, delivery, quality, reliability, and technical execution. Partners with product and architecture teams to prioritize work, evaluate designs and estimates, resolve root causes, promote secure development, testing, CI/CD, observability, and incident response, and improve engineering practices. Requires strong C# and .NET expertise, people management experience, cloud development knowledge, and the ability to deliver complex software with remote teams.

Leads a distributed software engineering team responsible for delivery, quality, reliability, and professional growth. Hires, coaches, and evaluates engineers; oversees planning, prioritization, code and design reviews; drives root-cause analysis, testing, CI/CD, observability, incident response, and technical debt management. Partners with product, architecture, and engineering stakeholders to deliver secure, scalable software while improving team practices, communication, and performance.

Provides technical leadership for Azure cloud-scale distributed data platforms processing network telemetry and operational data. Defines architecture and long-term technical strategy, leads streaming and batch system design, resolves complex scalability and reliability challenges, oversees production readiness and continuous improvement, and influences cross-team technical investments. Partners across Azure Networking, conducts design reviews, establishes reusable engineering patterns, improves observability and quality, and mentors engineers and technical leaders.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.

Architect and deliver complex distributed systems using Azure cloud-native technologies, microservices, APIs, and event-driven patterns. Lead architecture reviews, reliability initiatives, performance optimization, incident response, and root-cause analysis. Drive adoption of AI-assisted development tools while maintaining security and code quality. Collaborate across engineering, DevOps, QA, and product teams, and mentor engineers on technical design, development practices, and AI-enabled workflows.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Create and optimize high-quality, mobile-optimized character shaders and material workflows in Unity URP. Develop master materials, tools, and editor extensions (C#). Profile and debug performance on iOS/Android, collaborate with artists on look development, and ensure efficient rendering across mobile devices.

Design, develop, and operate highly scalable and resilient Azure VM Scale Set cloud services. Own features from architecture through deployment and operations, solve distributed-systems challenges at hyperscale, and drive reliability, security, performance, disaster recovery, testing, monitoring, automation, and engineering best practices. Collaborate across teams to deliver platform capabilities and customer outcomes.