Top Software Engineer Jobs in Las Vegas, NV

Develop and test complex software applications in global team environments, with training in Java and full-stack development. Responsibilities include applying software engineering principles, troubleshooting and debugging, working with databases, following the SDLC, and practicing test-driven development. The role includes 4–8 weeks of training followed by a 12–24-month client placement with ongoing support.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Develop open-source Web3 and Web2 technologies for the Canton Network, solving complex distributed systems and security challenges. Own major software components, contribute to cloud deployments and operations, collaborate across distributed engineering teams, mentor engineers, and improve systems and processes. The role requires strong polyglot programming skills, preferably in Scala or Haskell, plus experience with Kubernetes, Pulumi, Helm, and Grafana.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.

Build and evolve AWS platform infrastructure, Terraform and Pulumi automation, internal developer tooling, TypeScript libraries, CI/CD pipelines, and ephemeral environments. Improve reliability through SLOs, error budgets, observability, autoscaling, and incident response while addressing performance challenges across Aurora PostgreSQL and distributed services. Partner with product engineers, document complex systems, and raise engineering standards.

Own backend-heavy product and platform engineering from design through production. Build and scale distributed systems supporting large-scale mortgage transactions, design reliable infrastructure for regulated workflows, contribute to architecture and engineering standards, and collaborate with product, infrastructure, and platform teams. Use AI coding tools while maintaining rigorous human review and correctness.

Build and scale a growth data platform: design queues and workers for enrichment, routing, assignment, and activation; integrate CRM, ads, intent, and enrichment vendors; convert experiments into reusable platform primitives; and debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream systems.

Design, develop, implement, test, and support high-quality internal software and customer-facing products. Enhance existing products and design APIs that integrate systems. Ensure security measures and perform code testing and reviews.

Design and build the control plane for Postgres clusters, ensure data protection, automate database operations, and collaborate with customers to enhance the platform.

The Senior Software Engineer will develop high-performance software for executing open-source LLMs on custom hardware, focusing on optimizations and efficient libraries primarily in C++.

Pipeline for software engineering roles at multiple levels. Work may include design, development, testing of embedded or application software, firmware and hardware-software integration, code review, debugging, performance optimization, Agile/Scrum practices, and cross-functional collaboration with systems, controls, and hardware teams.

Design and develop core backend components for a blockchain network using Rust, ensuring reliability and scalability in production-grade software.

The Senior Back-End Software Engineer will design and implement a serverless platform, work closely with the product team, and own entire projects, driving innovation in telehealth.

As a Back-End Software Engineer, you'll design, implement, and scale a serverless telehealth platform using various technologies while working closely with the product team.

Design, build and ship native Android features using Kotlin and Jetpack Compose. Integrate REST APIs, improve performance and reliability, debug production issues, and create AI-assisted on-device experiences (TensorFlow Lite). Collaborate with product and design to simplify complex financial user journeys.

The Android Developer will build and maintain AI-integrated Android applications, focusing on UX and system performance while collaborating with backend and ML engineers.

The role involves designing, building, and implementing new services, working closely with the product team, and taking ownership of projects from 0 to 1.

Seeking talented Backend Software Engineers to develop solutions for large scale problems and manage project deliverables in machine learning infrastructure.

As a Software Engineer in Sustaining Engineering, you will resolve complex issues related to Ubuntu and open-source software, engage with upstream communities, and develop bug fixes while maintaining close collaboration with support and product teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Develop, test, and release improvements to Ubuntu on public clouds, ensuring quality and stability, while collaborating with a global team.

The software engineer will develop and operate backend services for Snap Store and Charmhub.io, focusing on clean APIs and feature implementation.

The role involves developing software for Linux-based systems on autonomous devices, optimizing performance and ensuring reliability in various hardware environments.

As a Software Engineer at Canonical, you will collaborate globally to shape open-source software operations, focusing on Python and Golang development, enhance DevOps workflows, and improve infrastructure operations for cloud computing solutions.