Top Software Engineer Jobs in Las Vegas, NV

Lead the rearchitecture and development of a cloud-native Banking as a Service platform. Design scalable APIs, microservices, event-driven systems, and partner integrations using modern cloud, DevOps, observability, and security practices. Drive architectural strategy, technical debt reduction, incident response, code quality, compliance, and continuous delivery. Mentor engineers, collaborate with product and architecture teams, evaluate emerging technologies, and own capabilities through project delivery.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Develop and maintain runtime products by researching legacy codebases, backporting CVE security patches, building packages across Linux distributions and architectures, and creating automated testing and AI-assisted security workflows. The role requires deep C/C++ systems expertise, build-toolchain archaeology, cross-compilation experience, and strong ownership of correctness. It also includes customer support for compatibility and upgrade issues.

Develop and maintain Pioneer Desktop, an Electron application connecting sewer inspection trucks with cameras, sensors, and cloud services. Responsibilities include hardware integrations, reliable video recording, offline data storage, cloud synchronization, crash diagnostics, software updates, testing, and release management. The role also involves debugging Windows systems, resolving field issues, collaborating with product and design teams, visiting customers and hardware vendors, and improving operator workflows.

Provides technical leadership across multiple agile teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include writing and reviewing code, translating requirements into scalable designs, leading design reviews and sprint delivery, mentoring engineers, collaborating with product managers, and driving technical strategy, quality, security, performance, observability, and operational excellence.

The Senior SDET develops and maintains regression automation, performs manual and automated testing across smoke, integration, performance, and regression scenarios, and documents defects and test results. The role collaborates with product and customer-facing teams throughout the SDLC, contributes to planning and quality processes, maintains GitHub automation repositories, identifies quality risks, and participates in on-call support.

Build core banking activation experiences for administrators and customers by developing streamlined user flows, robust APIs, and third-party integrations. Design and implement scalable microservices using domain-driven design, emphasizing clean, tested, documented code, error handling, logging, and performance. Contribute to system architecture, advocate for technical decisions, review code, and provide technical guidance to teammates in an Agile Scrum environment.

Build core digital banking experiences for bank administrators and customers. Develop streamlined user flows, robust APIs, and third-party integrations such as Plaid and SendGrid. Write clean, documented, tested code with strong error handling, logging, and performance considerations. Apply system design, domain-driven design, and microservice architecture while working in an Agile Scrum environment. Provide architectural guidance, technical recommendations, and code reviews to improve team output.

Lead development of scalable backend services and platform infrastructure for an AI agent platform. Responsibilities include architecture and code reviews, infrastructure automation, CI/CD, observability, reliability, distributed systems, ML/NLP workload support, and mentoring engineers. The role requires expertise in Java, Python, cloud environments, Docker, Kubernetes, infrastructure-as-code, monitoring tools, and data infrastructure.

Principal Software Engineer responsible for hands-on development, architectural evolution, modernization, and resolution of complex technical problems across a mature education technology product. The role provides cross-team technical leadership, guides architecture and integrations, mentors senior engineers, and applies pragmatic AI-assisted development. Success involves improving system maintainability, enabling product evolution, surfacing technical risks, and strengthening organizational engineering capabilities.

Administer and engineer enterprise observability platforms spanning infrastructure, applications, cloud resources, and telemetry. Lead technical onboarding, monitoring design, alerting, dashboards, automation, integrations, troubleshooting, capacity planning, licensing optimization, upgrades, and migrations. Establish standards and documentation, collaborate with vendors and procurement, and mentor engineers. The role requires strong systems thinking, cloud and production support experience, scripting or infrastructure-as-code expertise, and the ability to resolve complex reliability and performance issues.

Co-own the architecture and long-term health of a Laravel platform, including its database, APIs, background jobs, integrations, CI/CD, observability, and security. Lead scaling initiatives, modernization decisions, reliability improvements, and agent-ready engineering practices. Set technical direction, review designs and code, mentor engineers, collaborate with product teams, and help prepare systems for growth and SOC 2 compliance.

Build secure, reliable cloud and AI software solutions from prototype through production. Partner directly with customers and multidisciplinary teams to translate business goals into technical requirements, architect scalable services, and deliver measurable outcomes. Provide technical leadership, mentor engineers, establish reusable frameworks, apply responsible engineering practices, and support deployment, observability, adoption, and knowledge transfer. The role may involve designing and operating AI or LLM-based systems and traveling up to 25%.

Develops, troubleshoots, maintains, and supports complex software, networking, hardware, and system environments. Responsibilities include root cause analysis, performance tuning, security mitigation, technical documentation, system design, vendor coordination, implementations, disaster recovery testing, and software development using .NET technologies, Windows frameworks, and SQL Server.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Lead architecture and development of significant backend platform features from concept through release. Design scalable distributed systems, write technical proposals, assess business impacts, and ensure dependable performance. Use AI coding assistants while validating code quality and safety, coach engineers, shape the technical roadmap, and collaborate with product and cross-functional teams. The role requires expert Node.js and TypeScript skills, experience with message queues, and ownership of substantial product areas.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.