Top Software Engineer Jobs in Las Vegas, NV

Build and operate large-scale data acquisition systems, including web crawlers, distributed processing platforms, backend services, data pipelines, and asynchronous workloads. Improve ingestion reliability, scalability, observability, fault tolerance, and data quality. Collaborate with data product and engineering teams to develop data products, design schemas and pipelines, and deliver resilient systems in a remote-first environment.

Build and evolve scalable full-stack systems for People Data Labs’ APIs, self-serve products, and customer success tools. Responsibilities include designing frontend and backend architecture, developing React and Python applications, ensuring data integrity, implementing reliable APIs, optimizing performance, operating production services, collaborating with stakeholders, writing technical designs, mentoring engineers, and improving development practices.

Develop production software for maritime route optimization, vessel performance and fuel-consumption modeling, voyage analysis, simulation, and route evaluation. Refine optimization algorithms, build modeling and evaluation tools, and deliver explainable recommendations for U.S. Government and defense customers. Collaborate with engineers, product experts, and maritime specialists using Rust and Python.

Design, build, and optimize scalable cloud and web software with focus on infrastructure, performance, and hardware integration for IoT devices. Collaborate with hardware teams to ensure connectivity and high availability, implement new features, and improve system efficiency.

Owns hands-on SAP application development for a multi-year S/4HANA transformation. Designs, develops, reviews, tests, deploys, and supports RICEFW objects, ABAP, Fiori, CDS, OData, BTP, and integration solutions. Champions clean-core principles, secure coding, performance, quality standards, and controlled releases. Collaborates with functional, architecture, security, Basis, testing, vendors, and systems integrators while mentoring developers and supporting production stabilization.

Leads SAP application development for a multi-year S/4HANA transformation. Manages engineers, contractors, and delivery partners; sets technical standards; governs custom development, integrations, extensibility, testing, security, releases, and production support. Champions clean-core architecture and coordinates with business, architecture, security, data, testing, and operations teams. Owns portfolio planning, delivery commitments, quality, vendor performance, talent development, and successful solution transitions into operations.

Build and maintain Airbnb’s cloud infrastructure platform, including developer APIs, CLIs, Kubernetes automation, service provisioning, autoscaling, multi-region capabilities, and AI-native agent workflows. Improve platform reliability, security, scalability, and developer experience; contribute to open-source infrastructure projects; debug production issues; and collaborate with engineering teams across Airbnb.

Build and operate Airbnb’s large-scale NewSQL storage platform on stateful Kubernetes. Responsibilities include database kernel performance, storage and query internals, replication, CDC, failover, migration tooling, observability, permissions, and service discovery. Engineers investigate production incidents, improve reliability and latency, contribute to open-source database systems, and collaborate across storage, SRE, ORM, and interface teams.

Design, build, and operate Airbnb’s large-scale change data capture and batch export platforms. Improve reliability, performance, and efficiency across multi-tenant data infrastructure, collaborate with partner teams and internal customers, contribute to platform architecture, and participate in on-call operations. The role requires hands-on development, testing, debugging, and ownership of complex distributed systems supporting critical business functions.

Build and maintain full-stack monetization features across web and mobile, including enrollment flows, paywalls, subscriptions, reactivation, and marketing integrations. Collaborate with Product, Design, Marketing, and Data teams to run experiments and improve revenue outcomes. Use analytics, observability, AI-assisted development, testing, and software engineering best practices to deliver reliable products for millions of customers.

Build and operate shared AI platform infrastructure for secure, reliable foundation-model access. Responsibilities include developing scalable systems, model gateways, provider integrations, routing, usage controls, observability, governance, and self-service capabilities. Partner with engineering, product, security, and infrastructure teams; contribute to technical roadmaps, make architectural decisions, mentor engineers, and review code while ensuring production systems are resilient, secure, cost-effective, and maintainable.

Leads development and sustainment of secure, scalable production software using AI coding agents. Designs agentic development environments, orchestrates parallel workflows, validates AI-generated code, and integrates LLM platforms and conversational voice technologies. Advances cloud-native engineering, testing, APIs, databases, automation, and compliance practices while mentoring engineers and influencing technical stakeholders.

Lead end-to-end technical ownership for an e-commerce platform service area. Design, build, and ship production features; modernize legacy systems; establish architecture and engineering standards; optimize platform performance; plan roadmaps and sprint priorities; mentor engineers; improve developer productivity; and contribute to hiring. The role requires hands-on TypeScript, JavaScript, React, Node.js, AWS, Python, and Django experience in a remote United States or Canada environment.

Build and maintain backend product features using Python, Django, and relational databases. Develop APIs, asynchronous jobs, integrations, internal tools, and data-processing workflows while using and critically reviewing AI-generated code. Investigate incidents, resolve customer-impacting issues, improve reliability and database performance, and protect data integrity, security, tenant isolation, and auditability. Own work through testing, deployment verification, documentation, and follow-up while collaborating closely on a small engineering team.