Top Senior Software Engineer Jobs in Tucson, AZ

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Design, build, and operate scalable, highly concurrent backend services in Go. Architect distributed, fault-tolerant systems, optimize performance and reliability, define APIs and service boundaries, improve observability and operational readiness, and collaborate cross-functionally to support mission-critical autonomous deployments.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Design, implement, and support high-performance storage and query infrastructure handling billions of events. Independently scope and deliver complex projects, optimize query performance, improve reliability, participate in on-call rotations, define KPIs and SLOs, reduce operational toil, debug production issues, collaborate cross-functionally, and mentor engineers.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

The Staff SDET will design and implement automated test frameworks using TypeScript, collaborate with developers, and enhance testing processes within CI/CD pipelines.

Design, build, and optimize GraphQL APIs, gRPC services and SQL queries for a promotions engine. Own complex technical problems, improve production scalability and performance, set up DataDog monitoring, participate in on-call rotations, mentor engineers, and deliver end-to-end features in an agile environment.

Build and operate AlphaSense's identity platform across user management, authentication, and authorization. Design scalable RBAC/ABAC/ReBAC systems, integrate authentication patterns (OAuth/OIDC/SAML), implement SCIM provisioning, and expose GraphQL/gRPC/REST APIs. Partner with security on SOC2/GDPR compliance, drive platform roadmap, champion testing, observability, and reliability, and operate autonomously from North America in close collaboration with the Helsinki team.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC with stakeholders and development teams, integrate DevOps and CI/CD practices, support operational tasks, ensure security and performance, drive feature development, conduct code reviews, and stay current with emerging technologies.

Technical leader for Platform & Infrastructure building scalable, resilient cloud-native systems to support large AI workloads. Define architecture, mentor engineers, solve systemic infrastructure bottlenecks, design foundational platform services, and collaborate cross-functionally to ensure secure, high-performance operations.

Lead architecture and scaling of cloud-native infrastructure to support large AI workloads. Mentor engineers, decompose complex systems, design foundational platform services, and collaborate with product, research, and security teams to ensure secure, performant, and highly available GPU/ML infrastructure.

Build and maintain end-to-end web applications powering sales and operations. Design tools for quoting, scheduling, and fulfillment, integrate AI into products, collaborate on UX, ship high-impact features, and contribute to architecture, deployment, and engineering culture.

The Software Engineer will build features across the stack, design AI/LLM-driven workflows, translate requirements, and collaborate closely with the founding team and customers.

The Senior Full-Stack Software Engineer will design, build, and scale backend services and APIs for financial transactions while collaborating with frontend engineers and contributing to technical design.

Build and enhance native GFiber iOS app features using Swift and SwiftUI. Collaborate with product and design, implement modern concurrency patterns, maintain automated tests, mentor engineers, perform code reviews, and improve mobile architecture and CI/CD practices to deliver reliable customer experiences.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

As a Senior Backend Developer, you'll design and maintain high-volume pipelines and databases, implement ETLs for automated abuse-prevention, and develop monitoring solutions while collaborating with teams on safety systems.

As a Senior Fullstack Developer, you will build and maintain moderation and user-safety applications for Bluesky's Trust & Safety team, collaborating with product teams and improving tools based on user feedback.

The Senior Software Engineer will lead design for large cloud platform projects, troubleshoot system issues, and mentor engineers, focusing on scalability and reliability.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.

As a Senior Software Engineer, you will design and implement AI technologies to address complex logistics challenges and mentor team members.

Design, implement, and optimize core frontend, backend, and model-integration components. Drive engineering direction, ship and scale LLM-powered applications, build robust APIs and streaming systems, establish CI/CD and instrumentation, and deliver production-grade agentic workflows with measurable reliability and performance.

Lead the design and implementation of APIs, develop data pipelines, and mentor teams on AI integration and Agile methodologies.

Lead the creation of an AI-powered software generation platform, partner with AI and infrastructure teams, and define success metrics to enhance developer experience.

Lead design and delivery of self-service platform capabilities: provisioning, deployment, observability, and multi-region networking. Drive RFCs and cross-team alignment, build APIs (primarily in Go), implement Terraform/GitOps flows, improve EKS reliability and Grafana-based SLOs, and reduce operational toil via safe, auditable automation. Own on-call rotation and platform adoption outcomes.