Top Software Engineer Jobs in Las Vegas, NV

Staff Software Engineer responsible for setting technical strategy and building infrastructure for vulnerability remediation across Anaconda’s package distribution platform. The role includes architecting build, test, scanning, signing, SBOM, and release systems; remediating complex CVEs; improving reliability, observability, access controls, and automation; defining security SLAs; partnering with open-source maintainers; and leading cross-team technical initiatives.

Lead the design, development, and scaling of GridUnity’s cloud-based SaaS platform. Own complex full-stack features, influence architecture, mentor engineers, and improve scalability, reliability, observability, security, and data practices. Collaborate with product and cross-functional teams, drive technical initiatives, introduce effective engineering workflows, and contribute to long-term technology strategy. The role focuses on production systems, modern backend and frontend technologies, and potentially serverless, GraphQL, microservices, and AI integrations.

Build and operate scalable backend systems supporting large-scale AI workloads, including distributed compute, data management, evaluation workflows, AI agents, and LLM-powered applications. Design service interfaces, storage and retrieval systems, and production tools for foundation model development. Lead large engineering projects from architecture through deployment while collaborating with product, engineering, and customer-facing teams.

Build and scale full-stack software for employer and Employee Assistance Program products, including employer portals, patient and provider workflows, eligibility, authorization, and billing. Lead technical projects, design secure distributed systems, mentor engineers, contribute to engineering culture, and use modern technologies and AI-assisted development tools. Collaborate cross-functionally to expand access to mental healthcare.

Build and scale full-stack software for an AI-native cybersecurity platform. Responsibilities include developing backend services and APIs, creating frontend applications, collaborating on product features, writing tested code, participating in reviews, troubleshooting across the stack, and improving engineering processes. The role requires 3–5 years of software engineering experience and experience with backend, frontend, databases, and cloud technologies. Docker, Kubernetes, CI/CD, AI/ML, and startup experience are preferred.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Work directly with the founder to design and build core product features: integrations that pull license data, automation to file renewals/applications, data cleaning with AI, dashboard and alerting UX, and establish engineering practices for testing, deployments, and security. Term contractor role with potential conversion to full-time based on performance.

Build, test, review, deploy, monitor, debug, and maintain full-stack software used in K-12 classrooms. Work primarily with React, TypeScript, Node.js, and AWS while improving complex codebases and service design. Participate in incident response, refactoring, code reviews, pairing, mentorship, and cross-functional collaboration with product, design, and education experts. Use AI tools thoughtfully and prioritize reliable, accessible, and equitable learning experiences.

Lead end-to-end development of reliable care-agent tooling and software services integrating contact-center platforms with backend systems. Own architecture, performance, security, production operations, and technical direction while partnering with product, care operations, QA, and engineering teams. Translate operational workflows into scalable solutions, mentor engineers, and improve tools using agent feedback, operational metrics, and AI-assisted development practices.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Design and implement experiments in browser engine subsystems, investigate DOM, layout, rendering, navigation, events, and execution behavior, and evaluate performance, correctness, and compatibility. Prototype new engine capabilities, instrument and profile browser behavior, develop repeatable tests, document results, and optimize validated improvements. Collaborate with technical leadership while using AI coding and analysis tools and verifying outputs through debugging, testing, and measurement.

Leads the design and implementation of highly scalable Azure messaging and PubSub services. Defines architecture, testing strategies, coding standards, and reusable engineering frameworks; mentors engineers and conducts design and code reviews. Drives incident response, root-cause analysis, service reliability, SLA compliance, and operational improvements. Partners with stakeholders and customers to shape requirements and product direction, while advancing responsible AI practices throughout the software development lifecycle.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Leads hands-on software engineering for the Portals team, overseeing architecture, feature development, testing, support, and Agile delivery. Coaches engineers, improves development standards, and collaborates with product owners and stakeholders. The role develops scalable enterprise applications using modern cloud, distributed systems, data, and user interface technologies, while supporting legacy modernization and full software development lifecycle execution.

Build scalable full-stack interview-platform features, including AI-enhanced capabilities, APIs, user interfaces, infrastructure, and production services. Collaborate with product, design, and data science teams; contribute to architecture decisions; improve reliability, performance, and security; and provide technical leadership through mentoring and engineering best practices.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Design, build, and operate distributed infrastructure powering customer workloads, including notebooks, jobs, apps, AI agents, and model serving. Manage container pools, scaling, routing, RBAC, billing, observability, and secure networking across regions and clouds. Lead technical initiatives, mentor engineers, establish engineering standards, improve CI/CD and reliability, and participate in on-call operations.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.

Lead development of a scalable, secure healthcare EHR platform. Responsibilities include full-stack application development, backend APIs and data models, React and Elm frontend work, Python/Django server-rendered applications, REST and GraphQL integrations, CI/CD, automated testing, troubleshooting, architecture, technical leadership, mentoring, and establishing engineering standards.

Provides hands-on technical direction and architecture ownership for connected products and cloud platforms. Defines target architecture, APIs, data models, integration patterns, and technical roadmaps; guides device-to-cloud systems, platform modernization, security, reliability, observability, CI/CD, and incident response. Partners across engineering, product, science, quality, IT, DevOps, and external vendors. Remains involved in backend implementation, technical investigations, code reviews, mentoring, and resolving high-risk production issues.

Build and ship end-to-end features across consumer marketplace and business administration products. Develop TypeScript, React, React Native, Node.js, Rails, and related services while using AI coding agents. Own software quality through design, testing, observability, telemetry, and gradual rollouts. Partner with Product, Design, AI Platform, and Data teams; modernize legacy systems, develop AI-powered features, participate in on-call, mentor engineers, and improve team workflows.