Top Senior Software Engineer Jobs in Reno, NV

Design, implement, test, deploy, and operate core protocol features and Rust-based consensus clients. Own full lifecycle delivery, build conformance and adversarial tests, execute safe protocol upgrades, resolve availability/performance issues, and collaborate cross-functionally while maintaining high standards for correctness and security.

Design, build, and maintain payment integrations and a reconciliation data platform for high-volume restaurant transactions. Implement terminal-to-cloud flows, ingestion pipelines, matching engines, reporting UIs, and payment analytics. Provide technical leadership, documentation, and mentor teammates to ensure reliable settlement and reconciliation.

Lead technical direction for patient-facing mobile and web products, rapidly prototype and ship features with product/design/clinical teams, mentor engineers, set architecture and development standards, and use AI tools to improve patient engagement, retention, and outcomes.

Design and build internal platforms, tooling, and AI-powered workflows to reduce developer friction, improve velocity, quality, and reliability. Partner with product, infra, and security to create reusable paved paths, measure impact with engineering metrics, and help define the Developer Experience practice.

Lead design and delivery of end-to-end calibration systems for perception sensors and robot kinematics. Build algorithms, fixtures, on-fixture software, data pipelines, validation, operator workflows, and fleet monitoring. Own fixture software and in-field self-check/recalibration, define downstream manufacturing requirements, and coordinate with vendors and contract manufacturers. Hire, mentor, and develop engineering talent for calibration work.

Design, build, test, and continuously deploy scalable infrastructure and platform tooling. Create technical specs and rollout plans, collaborate with stakeholders, mentor teammates, support services in production, and shape engineering practices across teams.

Build and operate the Data Plane Platform: design and implement scalable backend services in Go, REST APIs, and distributed systems; contribute full-stack using React and TypeScript for platform management; develop and run production cloud applications on AWS/GCP; ensure reliability through testing, CI/CD, and observability; troubleshoot across code and infrastructure and drive technical ownership.

Build and maintain scalable Golang microservices powering eligibility, billing, and client APIs. Automate operational workflows, ensure data accuracy and traceability, and deliver self-service tools for finance and operations. Collaborate with data and AI teams to apply AI for validation and anomaly detection. Support cloud deployments and integrate event-driven architectures for reliable data exchange.

Design and implement cloud solutions for clients, leading teams, solving technical challenges, and utilizing modern technologies like Kubernetes and AI.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

Design, implement, and manage LiveKit's infrastructure, focusing on performance, reliability, and automation while ensuring effective incident management and coordination with vendors.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

Lead architecture and development for scalable document content extraction and transformation systems. Build full-stack, event-driven applications using C#/.NET, AWS, Kafka, OCR technologies, APIs, and AI services. Own initiatives from design through production, improve reliability and performance, implement observability, address technical debt, document architecture, collaborate cross-functionally, and mentor engineers.

Design, develop, and optimize high-performance confidential computing solutions using CUDA. Identify and resolve performance bottlenecks through advanced CUDA programming and profiling tools. Write clean, tested, documented code and collaborate with developer services and infrastructure teams to integrate GPU-accelerated algorithms into existing systems. The role also involves building cryptographic and distributed systems supporting privacy-preserving zero-knowledge products.

Build software that productizes enterprise mortgage-lender onboarding. Responsibilities include automated tenant provisioning, configuration-as-code, environment promotion, data migration from legacy systems, reconciliation reporting, multi-tenant feature rollouts, smoke tests, conformance suites, and infrastructure or CI/CD improvements. The role spans backend, frontend, cloud infrastructure, security, reliability, and collaboration with implementation teams.

Design, develop, and maintain web applications, console apps, and RESTful APIs using C# and JavaScript. Collaborate on agile teams, perform code reviews, build internal tools, troubleshoot front-end issues, and deploy to Azure/Jenkins. Improve processes, follow best practices, and support CI/CD pipelines.

Architect and build the Solver framework powering NEAR Intents, including solver competition, quote aggregation, execution workflows, and cross-chain infrastructure. Lead technical design, code reviews, architectural decisions, and globally distributed collaboration while ensuring low-latency, high-throughput performance. Shape solver economics and cryptoeconomic incentives, remain hands-on with coding and prototyping, and address complex distributed systems and blockchain challenges.

Design and modernize scalable distributed systems for insurance eligibility, claims, and remittance workflows. Develop full-stack applications using React or Angular and .NET, optimize SQL Server databases, and lead end-to-end Epic delivery. Champion AI-assisted engineering, automated testing, CI/CD, code quality, system reliability, and technical mentorship while managing dependencies, DORA KPIs, and stakeholder communication.

Build and own Pepper’s regulated audit platform across internal auditor tools, client and partner portals, data models, integrations, security, and reliability. Develop end-to-end features using TypeScript, React, Node.js, PostgreSQL, and Supabase. Design secure multi-tenant data isolation, authentication, audit logging, evidence integrity, integrations, observability, CI/CD, and deployment workflows. Partner with founders, auditors, CPAs, engineers, and external partners in a high-autonomy environment.

Design and implement high-performance distributed Rust systems for autonomous, human-machine-AI teaming in constrained and contested environments. Responsibilities include architecture, hardware and microcontroller integration, networking, deterministic build infrastructure, OTA updates, simulation and field testing, performance optimization, and deployment of reliable edge systems. The role supports mission-critical defense applications and requires collaboration across engineering, research, and operational teams.

Lead design and delivery of scalable, secure full-stack systems; mentor engineers; integrate AI-driven and agent-based workflows; ensure cloud-native, containerized deployments and secure SDLC practices.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.