Top Remote Software Engineer Jobs in Phoenix, AZ

Define and drive Payments technical strategy and architecture for rails, routing, and funds-flow systems. Lead large cross-team initiatives, ensure financial correctness, improve reliability and cost via observability, mentor senior engineers, and align stakeholders across product, risk, and regulatory teams.

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

Design, build, and iterate patient onboarding systems and registration/eligibility flows. Own end-to-end projects, run experiments, optimize for performance, correctness, and resilience, and provide technical leadership, mentoring, and cross-functional collaboration with Product, Design, and Analytics.

Lead the technical direction of Care & Onboarding platforms by driving architectural decisions, overseeing large initiatives, and enhancing engineering quality.

The role involves leading engineering decisions, shipping production code, enhancing the iOS app architecture, and collaborating on product discussions to enhance user experiences.

Design, develop, and maintain backend APIs, oversee API landscape, collaborate on B2B solutions, ensure alignment with product strategy.

The Senior Software Engineer will lead projects for the Forms platform, designing and building features across web, mobile, and backend systems while mentoring other engineers and improving platform scalability and reliability.

Design, build, and operate multi-tenant elastic storage control-plane services. Ensure high availability and performance, run observability and on-call practices, lead complex projects, collaborate cross-functionally, mentor junior engineers, and contribute to scaling services handling petabytes of data.

The Senior Software Engineer will design and build scalable AI/ML backend systems, develop data pipelines, and collaborate with cross-functional teams to implement ML-driven features while ensuring system performance and documentation.

As a Senior Software Engineer in ZT1, you will lead backend system development, manage projects, and influence product direction in a fast-paced, AI-centric environment.

Responsible for leading a team to improve developer productivity, managing projects, and ensuring high-quality code delivery while collaborating across teams.

Design and build scalable, reliable backend systems and third-party integrations for provider-patient workflows and telehealth. Drive development lifecycle, solve complex technical challenges, and collaborate cross-functionally to ensure performance, security, and availability.

As a Software Engineer, you will develop, test, and maintain software applications, collaborate with stakeholders, and leverage AI tools for coding efficiency.

Design, build, and own scalable microservices and secure APIs that transfer value across blockchain and banking protocols. Extend in-house blockchain infrastructure, integrate with banks and cloud services, troubleshoot production issues, document system and testing procedures, and collaborate with product and engineering teams to deliver reliable payment experiences.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

As a Senior Software Engineer, you'll design, develop, and maintain full-stack applications, utilizing TypeScript and modern frameworks while collaborating cross-functionally to enhance user experience and performance.

Build and operate scalable backend services and integrations for chat, voice, and agent-assisted support. Improve reliability, performance, and AI-driven capabilities; collaborate across product, design, AI, and operations; mentor engineers and lead technical design and architecture.

Build and maintain full-stack features for Saga, Deepgram's voice OS. Develop backend services (Node.js, Socket.IO, DynamoDB, AWS Amplify), frontend interfaces (TypeScript, React, Next.js), and scalable REST/GraphQL APIs. Participate in architecture, code reviews, performance optimization, and translate product requirements into iterative deliverables.

Design and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Design and build unified testing frameworks enabling portability across SIL, HIL, and simulation. Configure and maintain physical HIL benches and hardware interfaces, integrate automated HIL tests into CI pipelines, collaborate with software teams to improve HIL/CI systems, and monitor runtime performance, system health, and reliability metrics across testing platforms.

Build and operate backend and platform services for the Wikidata Query Service and related data pipelines. Improve reliability, scalability, observability, and automation; respond to incidents; support migrations and deployments; integrate with other Wikimedia systems; participate in design, code review, documentation, and knowledge sharing.

Develop, maintain, and execute automated test plans and frameworks; build specialized testing tools; perform functional, whitebox, load and performance testing; analyze results and defects; participate in SDLC and code reviews; mentor QA staff; produce test plans, test data, metrics, and reports; and recommend improvements to product reliability and QA processes.