Top Software Engineer Jobs in Phoenix – Mesa – Scottsdale, AZ

Designs, configures, and maintains SharePoint sites, workflows, libraries, permissions, and collaboration tools. Develops tailored solutions to improve document management, information access, version control, routing, and team collaboration. Tests complex software and user interfaces, identifies documentation or performance discrepancies, resolves software issues, and ensures quality assurance practices meet industry and customer standards.

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

Owns full-stack engineering, cloud infrastructure, reliability, cost governance, legacy-to-cloud migration, and AI-assisted development for a multi-tenant ERP platform. Leads engineering, QA, contractors, release governance, customer go-lives, vendor evaluation, and executive reporting. The role requires deep TypeScript/Node and React expertise, financial-system correctness, Azure or AWS architecture, ETL and data reconciliation, CI/CD, incident response, SaaS security, and pragmatic maintenance of Java/Spring and VB6 legacy systems.

Build and operate product and technical initiatives across Boulevard’s event-driven platform, including scheduling, booking, marketing automation, and business tools. Partner with Product and Design, contribute to architecture, develop frontend or backend systems, maintain software quality through testing and observability, support production systems, mentor engineers, and improve delivery practices using AI-assisted development tools.

Lead design and implementation of high-throughput, low-latency programmatic bidding systems. Collaborate with ML engineers to deploy real-time inference, optimize distributed microservices, run experiments and quantitative analysis, and partner with product to ship scalable features. Foster operational excellence, mentor engineers, and continuously improve performance and reliability.

Architects and develops secure, high-performance distributed applications, APIs, microservices, and data pipelines on AWS. Leads application architecture, cloud infrastructure, data governance, testing automation, CI/CD, security, performance optimization, and technical modernization. Coordinates complex project lifecycles, manages risks and schedules, advises management, resolves cross-functional technology issues, documents systems, and mentors junior engineers in a financial services environment.

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 optimize revenue. Instrument features, monitor production systems, use AI-assisted development tools, and apply strong testing and software engineering practices.

Leads and coaches an engineering team building secure, full-stack account management and identity services. Responsibilities include architecting reliable frontend and backend systems, setting technical roadmaps, applying security practices, evaluating AI and platform technologies, managing migrations, hiring and mentoring engineers, and improving team productivity and growth.

Design, build, operate, and scale Go backend services powering core APIs and data access. Own reliability, performance, observability, asynchronous processing, distributed-system resilience, and database performance. Support production systems through on-call, debugging, testing, and code reviews; develop shared packages, mentor engineers, and contribute to AI-assisted development practices.

Design, build, and operate scalable distributed backend systems and services end to end. Integrate Web3 protocols, blockchain networks, and smart contracts while ensuring reliability, security, performance, observability, and code quality. Collaborate with product teams and API clients to shape solutions, contribute to technical discussions, mentor engineers, and use AI throughout the development workflow.