Top Remote Software Engineer Jobs in Tucson, AZ

Serve as the senior technical engineer on a delivery team, writing production code, shaping architecture, mentoring engineers, diagnosing complex issues, and owning software quality and reliability. Build TypeScript and JavaScript applications using Node.js, Express, React, PostgreSQL, REST APIs, testing, and observability. Modernize legacy systems, manage integrations and data synchronization, and use AI tools and automation to improve engineering workflows and delivery.

Seeking a Senior Software Engineer with 5+ years of experience to design and develop large-scale distributed systems, mentor junior engineers, and manage complex projects in a dynamic setting.

Design, build, and maintain backend services in TypeScript for millions of users; develop full‑stack features with React/React Native; participate in code reviews; provide technical leadership, mentorship, and architecture guidance; collaborate with PM and design; use monitoring/metrics and Agile practices to deliver scalable, user-focused products.

Lead test architect for end-to-end integration testing of a complex genomics product portfolio. Design contract-first validations (OpenAPI/Avro), build resilient API and event-driven test frameworks, embed LLM-driven test generation and log analysis into CI/CD, mentor SQEs, enforce staging guardrails, and run chaos/resiliency experiments across distributed microservices.

Lead Elasticsearch performance engineering from architecture through production. Develop performance models, optimize distributed systems, profile bottlenecks, build benchmarks, detect regressions, and improve scalability across stateful and serverless architectures. Design AI-assisted optimization and benchmarking tools, collaborate across teams, define performance strategies, and mentor engineers. The role requires deep Java, JVM, concurrency, distributed systems, and search or data-store performance expertise.

Develop and optimize Elasticsearch performance across distributed and serverless architectures. Responsibilities include implementing performance models, profiling systems, identifying bottlenecks, building benchmarks and regression detection, improving logging, metrics, vector search, and ES|QL performance, and creating AI-assisted optimization tools. The role also involves architectural and code-level optimization, technical analysis, peer reviews, and guidance for fellow engineers.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Design and develop software to onboard hardware accelerators and optimize storage datapaths for Azure Storage. Drive design, debugging, performance tuning, operations, and cross-team collaboration across research, compute, and storage to improve throughput, scale, reliability, and observability.

Design and deliver large-scale, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native, container orchestration solutions; integrate AI capabilities; participate in on-call rotations; mentor engineers and drive reliability, observability, and performance at scale.

Design, implement, and operate low-level components of Azure Storage distributed file systems. Define requirements, produce designs, write and reuse high-quality code, break down work, estimate tasks, and act as an on-call DRI to monitor and restore services. Drive reliability, performance, observability, and scalability improvements.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Leads the technical strategy, architecture, implementation, and delivery of a scalable ecommerce platform for vehicle discovery, configuration, checkout, payments, order management, fulfillment, and ownership experiences. Builds and tests distributed systems, drives code quality and technical decisions, partners with product and UX teams, simplifies complex problems, and mentors engineers while balancing customer impact, business needs, and long-term technology excellence.

Develop custom ServiceNow applications for work order management, scheduling, and dispatch. Collaborate with stakeholders and technical SMEs, enhance event rules and CMDB binding, build REST integrations and user interfaces, and configure Discovery, Service Mapping, MID Servers, Service Graph Connectors, and multisource CMDB. The role also involves creating discovery patterns, preventing duplicate CIs, configuring identification rules, migrating patterns across environments, and supporting multi-tier service discovery.

Conducts manual and automated software testing across requirements, user workflows, edge cases, regressions, APIs, and data validation. Creates test cases, investigates and documents defects using SQL, logs, browser tools, and source code, and contributes Playwright automation within CI/CD pipelines. Collaborates with engineers and product teams, supports accessibility and security-conscious testing, follows HIPAA data-handling practices, and uses Claude Code responsibly to improve test design and investigation.

Lead design and implementation of backend services for payments, billing, ledgers, settlements, and reconciliation. Drive architecture, integrate with external payment and banking partners, ensure financial accuracy, security, compliance, scalability, and operate mission-critical production services.

Develop and independently execute backend features, build APIs, design data models, maintain infrastructure, and resolve customer issues. Write tested, scalable, reliable code and develop validation procedures. Support internal capabilities and ML systems while designing elegant solutions with strong observability, SLA, and scalability considerations. Collaborate with application and front-end engineers and own large backend-focused projects.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Build and operate distributed, event-driven backend services for Stacklet’s cloud governance platform. Responsibilities include developing GraphQL APIs, policy execution pipelines, cloud asset and cost data stores, and scalable multi-cloud systems. The role requires designing for reliability, observability, retries, idempotency, and eventual consistency; managing PostgreSQL schemas and migrations; and using AWS serverless services, infrastructure as code, CI/CD, and automated testing. The engineer will also lead backend initiatives, mentor teammates, and contribute to architectural decisions.

Build and maintain full-stack donor-facing giving forms, payment flows, recurring giving, memberships, and administrative tools. Own projects from architecture through production support, ensuring reliability, accessibility, performance, and data integrity. Collaborate with product managers, designers, and engineers; mentor junior engineers; contribute to technical standards, security monitoring, hiring, and rotational on-call support. Potentially serve as a Tech Lead for roadmap implementation and technical decision-making.

Senior Software Engineer joining Fetch’s Data Platform team to architect and evolve scalable data pipelines, governed data access, delivery infrastructure, and partner integrations. The role owns ambiguous technical problems, leads multi-system initiatives and migrations, improves reliability and engineering efficiency, shapes technical direction, collaborates across teams, and mentors engineers. Candidates need strong backend or platform engineering experience, data infrastructure knowledge, cross-team leadership, operational judgment, and excellent communication skills.

Leads end-to-end development of high-scale Yahoo Mail web features, from architecture and implementation through deployment, monitoring, and maintenance. Uses AI-assisted development tools while validating code for security, performance, accessibility, and correctness. Collaborates with product and UX teams, conducts code reviews, mentors engineers, and improves software lifecycle efficiency through automated workflows.