Top Software Engineer Jobs in Las Vegas, NV

Develops, tests, documents, enhances, and maintains software solutions using established design principles and technical standards. Reviews systems, resolves defects, remediates security vulnerabilities, improves performance, analyzes user stories, and implements business solutions. Participates in software development processes, stays current with technology, mentors engineers, and helps plan and prioritize team development work.

Develop and maintain software solutions across the full development lifecycle, including design, coding, testing, documentation, system enhancements, security remediation, performance improvements, and user story analysis. Collaborate with development teams to solve business problems using .NET technologies and software engineering best practices. Participate in Agile or Lean processes, document changes, and maintain current knowledge of tools, technologies, and industry standards.

Design, build, and operate Tailscale’s global Funnel and DERP networking infrastructure. Develop open-source client dataplane features, improve scalability and reliability, troubleshoot complex connectivity issues, support customer escalations, and participate in incident management. The role requires strong networking expertise across VPNs, NAT traversal, routing, and IP addressing, plus experience with distributed systems, SRE, DevOps, and preferably Go.

Build and maintain Python services supporting pharmacy and medical claims, data pipelines, REST APIs, and internal applications. Develop features for claims, eligibility, and drug-pricing workflows; write SQL for MySQL databases; and participate in design, code review, deployment, testing, and production support. Collaborate across departments, handle sensitive healthcare data, and use AI-assisted development tools while ensuring code correctness and quality.

Develop and maintain synthetic data generation tools, performance scripts, and testing frameworks. Investigate application, infrastructure, and database bottlenecks; conduct load, stress, endurance, scalability, and other performance tests; integrate testing into CI/CD pipelines; and use observability and AI/ML techniques to analyze and improve enterprise and cloud-native application reliability and performance.

Design, develop, test, review, and maintain medium-complexity software systems. Translate product requirements into scalable, secure, modular, and maintainable applications; provide application support; participate in design and code reviews; and mentor less experienced engineers. The role requires programming expertise, knowledge of data structures, algorithms, databases, caching, and strong collaboration and problem-solving skills.

Build and operate CrewAI’s cloud and enterprise infrastructure across AWS, Azure, and GCP. Develop CI/CD pipelines, deployment automation, observability, security controls, self-hosted installation tooling, and reliability processes. Support containers, Kubernetes, databases, queues, networking, secrets, and production workloads. Participate in incident response and on-call operations while partnering with runtime and product engineering teams to improve deployment safety, scalability, and customer production environments.

Build and ship end-to-end product features across an author analytics dashboard, marketing site, free tools, billing, email, and AI-assisted functionality. Design data models and APIs, integrate third-party services, develop production LLM features, and maintain testing, monitoring, performance, and observability. The role includes code review, technical documentation, independent product decisions, and close collaboration with the founder in a remote-first environment.

Design, build, and operate a distributed storage and data movement platform supporting petabyte-scale model training and evaluation. Run stateful systems across Kubernetes clusters, define throughput, latency, and durability requirements with research and infrastructure teams, and solve networking, I/O, consistency, and cross-region data transfer challenges. The role involves supporting cloud object storage, POSIX filesystems, model checkpoints, and large-scale GPU workloads.

Build and optimize Azure Storage’s hyperscale distributed file system. Responsibilities include designing and implementing storage features, analyzing performance, ensuring availability, security, reliability, and durability, creating technical designs, estimating work, monitoring services on call, and improving observability and operational efficiency at scale.

Develop and maintain Microsoft's custom Linux operating system platform at hyperscale. Responsibilities include improving reliability, performance, and security; troubleshooting OS health and deployment issues; reviewing OS component code; integrating Linux technologies with datacenter hardware; contributing to open-source projects; and collaborating with Linux and systemd communities across Azure infrastructure.

Build and maintain cloud-native microservices, APIs, event-driven workflows, and serverless applications using TypeScript and AWS. Integrate new services with legacy WordPress and PHP systems, support platform modernization, write specifications and automated tests, troubleshoot production issues, and improve infrastructure, observability, and reliability. Collaborate remotely with product, design, QA, and engineering teams while participating in code reviews and on-call support.

Design, build, test, and maintain cloud-native microservices, APIs, and event-driven workflows using TypeScript, Node.js, and AWS serverless technologies. Integrate modern services with legacy WordPress and PHP systems, develop secure and scalable APIs, troubleshoot production issues, write automated tests, and contribute to infrastructure as code, observability, documentation, code reviews, and on-call support.

Software engineering intern responsible for owning a scoped project and building production-quality features across frontend, backend, full-stack, real-time, or forward-deployed systems. Duties include developing telemetry and geospatial interfaces, backend services, APIs, event-driven systems, tests, developer tooling, and data pipelines. The intern will support integration and test events, debug distributed systems and networks, explain technical tradeoffs, and present their work at the end of the internship.

Design, build, test, document, and optimize Tailscale’s client-side networking software. Develop connectivity features involving routing, VPNs, subnet routers, exit nodes, and NAT traversal; apply secure, scalable architectures; diagnose complex customer network issues; support escalations; collaborate across product and engineering teams; and contribute to open-source networking projects.

Develops, tests, maintains, and supports software applications across the full development lifecycle. Responsibilities include analyzing requirements, implementing features, debugging, quality assurance, documentation, performance and infrastructure work, and enforcing development standards. The engineer collaborates with senior engineers, product managers, architects, and support teams to deliver healthcare revenue cycle software.

Build and scale front-end experiences for Alteryx AI products using React, TypeScript, and micro frontend architecture. Develop reusable UI components, integrate backend services and AI workflows, improve accessibility, performance, testing, and reliability, and guide technical direction. Collaborate across Product, Design, Backend, and Platform teams while mentoring engineers and driving modernization, architecture, and developer experience improvements.

Job posting for Microsoft Software Engineer (IC3/IC4 levels). Lists base pay ranges for U.S. and SF/NY metro areas, application timing, and equal opportunity statement. No specific responsibilities or technical requirements provided.

Own full-stack features end to end, including system design, implementation direction, testing, deployment, production operations, and incident response. Use agentic AI to generate code, tests, and reviews while validating quality and security. Build production APIs, data models, authentication, schemas, migrations, and scalable SQL. Collaborate with Product, Design, and DevOps, and apply secure coding practices. Bonus experience includes RAG, LLM evaluation and observability, or TypeScript frontend development.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Design and implement motion-planning software for autonomous vehicles, including behavior planning, trajectory generation, safety constraints, and real-time embedded performance. Integrate planning with perception, prediction, localization, and control systems. Validate solutions through simulation, closed-course trials, and on-road testing while addressing complex edge cases and collaborating with vendors, AI teams, and customers.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Lead frontend and full-stack engineering, architect scalable features, integrate APIs and cloud services, optimize rendering and performance, establish engineering standards, conduct code reviews, and mentor developers. Collaborate with product, UX, and backend teams to deliver user-focused software while managing priorities in an ambiguous environment.

Build and maintain scalable backend services, RESTful and GraphQL APIs, database schemas, and cloud infrastructure. Own architecture decisions, optimize performance and reliability, improve CI/CD practices, collaborate across product and engineering teams, lead architecture sessions, review code, and mentor junior developers.

Designs, develops, and optimizes high-performance networking infrastructure for large-scale distributed AI training and inference in Azure. Responsibilities include building low-latency communication frameworks, benchmarking scalability, debugging complex networking issues, improving code performance and reliability, creating technical designs, participating in on-call operations, and guiding engineers. The role emphasizes observability, availability, scalability, and performance across diverse network architectures and accelerator technologies.