Top Remote C# Jobs in San Diego, CA

Lead and mentor the software engineering team responsible for PSA Set Registry, a large-scale consumer web and mobile product. Drive architecture, development, delivery, code quality, release management, production troubleshooting, and technical strategy. Partner with product, design, and business teams to translate requirements into scalable solutions while promoting agile practices, collaboration, continuous learning, and an inclusive engineering culture.

Develop server-side poker game features and gameplay functionality in Go for high-performance, large-scale applications. Build and integrate REST and gRPC APIs, SDKs, tools, and technologies; extend core systems; contribute to architecture, security, scalability, testing, and operations. Collaborate with engineers and cross-functional stakeholders, participate in long-term initiatives, review code, improve processes, and deliver solutions for live mobile game titles.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Develop and deploy slot-game features in Unity and C#, including gameplay, UI/UX, engine systems, and creator tools. Build server-backend functionality, investigate and extend slot-engine systems, define technical tasks, and quickly resolve bugs. The role requires collaboration, strong communication, and delivery under deadlines, with opportunities to work on live mobile games and performance optimization.

The Senior Software Engineer will lead projects for the Forms platform, designing and building features across web, mobile, and backend systems while mentoring other engineers and improving platform scalability and reliability.

Design, build, and operate cloud-native, enterprise-grade SaaS services on Azure. Lead architecture and design, develop APIs and UIs, apply AI-enabled engineering tools, ensure observability, support production incidents, and drive reliability, performance, and CI/CD improvements across teams.

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.

Build and maintain multi-layer test automation, improve CI/CD release integrity, and develop internal tools that enhance testability and developer experience. Establish quality metrics, dashboards, and observability for product stability and release readiness. Partner across engineering, infrastructure, product, SRE, and quality teams to implement shift-left practices, performance, resilience, security, API, and dependency testing. Drive automation-first quality improvements and promote consistent engineering standards.

As a Senior Software Engineer, you'll develop and build tools for creative projects while leading feature development and collaborating with teammates.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

Design, build, and operate scalable AWS-based backend services and APIs for the Collectors Vault. Own architecture and delivery, improve performance and reliability, mentor engineers, and leverage modern AI tools to accelerate development and engineering velocity.

Lead backend and full-stack work on the Payments team, building multi-gateway integrations (Stripe, PayPal), payment APIs, and customer payment UIs. Ensure secure, compliant (PCI-DSS) payment flows, reliability, observability, and scalability across AWS/Kubernetes microservices. Partner cross-functionally to design architecture, implement settlement/reconciliation, and maintain high availability.

Design, implement, and optimize gameplay mechanics and systems. Collaborate with designers, artists, and developers to troubleshoot and refine code, optimize performance across platforms, and maintain clean modular code while staying current with game technologies.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Senior Software Engineer responsible for developing and maintaining web applications and microservices (React, Golang). Mentor team members, lead code reviews, influence technical decisions, improve CI/CD and testing strategies (unit, E2E, performance), collaborate across teams on integrations, and promote engineering best practices and documentation.

Lead architecture and hands-on development of the end-to-end video pipeline (live ingest, transcoding, storage, playback, and developer SDKs). Mentor engineers, collaborate across mobile/web/ML/platform teams, own monitoring and on-call support, and help scale video streaming and VoD capabilities for millions of streams and clips.

Design, build, and maintain production-grade .NET web applications and APIs on Azure. Own full-stack delivery from data models and SQL to front-end components, CI/CD, testing, and architecture. Collaborate with product and delivery teams, participate in code reviews, and ensure secure, observable, well-tested services.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Lead development of core client systems and engine-level infrastructure in Unity/C#. Diagnose and fix cross-cutting performance issues, upgrade third-party SDKs, evolve build tooling, produce design docs, scope multi-week infrastructure initiatives, mentor engineers, and drive profiling, optimization, and architecture changes to enable future features.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Lead forward-deployed engineering engagements for strategic enterprise customers, diagnosing and resolving complex Windows deployment, management, update, application, performance, reliability, and security issues. Build automation, scripts, diagnostic tools, prototypes, and technical solutions; collaborate with Windows and Intune engineering teams on product fixes; and convert customer solutions into reusable playbooks and tools. Communicate findings to technical and executive stakeholders while delivering measurable improvements to Windows install-base health.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Lead and grow a distributed software engineering team building Azure Kubernetes Service infrastructure. Define architecture, drive design reviews, ensure security, reliability, observability, CI/CD, and operations at scale. Guide implementation, incident response, and continuous improvement while coaching engineers and aligning stakeholders across Azure product teams.