Top Senior Software Engineer Jobs in Tucson, AZ

Lead design and delivery of scalable customer-facing features, services, and APIs that process real-time data and AI-powered insights. Build web experiences, contribute to LLM/AI workflows, ensure reliability through observability and rollout practices, and collaborate cross-functionally with Product, Design, ML, and platform teams.

Lead the technical direction and architecture of Grafana Cloud’s Session Replay product across frontend, backend, and data systems. Design columnar storage, ingestion pipelines, data models, and query patterns for high-volume session data. Build cross-product debugging workflows, partner with customers and internal teams, improve engineering practices, make architectural decisions, and mentor engineers.

Staff Software Engineer leading hands-on full-stack development across C#/.NET services, Angular interfaces, databases, and AWS-hosted applications. Builds healthcare data integrations using HL7, FHIR, and X12 EDI; modernizes legacy systems; improves performance; applies secure coding and HIPAA practices; supports production incidents; reviews code; mentors engineers; and collaborates with product and QA teams.

Develop and maintain a Java and Drools business rules engine governing eligibility, suppression, frequency, and consent. Build Spring services, REST APIs, and Kafka integrations; ensure correctness, performance, testing, resiliency, and compliance in a PHI-handling environment. Collaborate with Product and compliance teams, participate in code reviews, and support cloud-based Kubernetes deployments.

Lead technical strategy, build and maintain software systems using AI, mentor early-career engineers, collaborate across disciplines, and protect user privacy and security. The role involves developing scalable systems on AWS and Kubernetes while working with healthcare data and adhering to HIPAA and data-security best practices.

Designs and develops scalable customer-facing web applications and microservices APIs. Leads complex system architecture, performs code reviews, mentors engineers, defines technical implementations, and guides engineering vision. Maintains sustainable business systems, supports compliance initiatives, and improves development processes. The role requires Java and Spring experience, cloud technologies, relational databases, REST and event-driven architectures, containerization, front-end development, and software lifecycle expertise.

Lead architecture and roadmap for a company-wide data lakehouse platform. Build platform-as-product components (SDKs, CLIs, control planes), optimize distributed compute/storage, prototype performance R&D, ensure compliance-by-design (lineage, PII masking, access control), enable real-time AI data ingestion, drive engineering standards, and mentor cross-functional teams.

Design, build, and scale backend services, APIs, and workflow systems supporting healthcare claims identification and recovery. Integrate AI/ML models, legal datasets, and transactional data while developing fault-tolerant Temporal workflows. Maintain AWS infrastructure and secure deployment pipelines using Python, TypeScript, PostgreSQL, Redis, and related technologies. Collaborate with product, business, and data science teams to deliver reliable, secure, high-performance systems in a regulated startup environment.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.

Design, build, and operate scalable cloud-native platform services for phone numbers and KYC compliance. Own end-to-end feature delivery, technical specifications, APIs, microservices, tooling, reliability, security, and incident remediation. Use AI-assisted development to accelerate coding and testing, collaborate with product and engineering stakeholders, mentor junior engineers, and contribute to platform modernization, operational excellence, and regulatory solutions.

Lead technical direction for Elastic’s core billing platform across cloud providers. Design and operate scalable billing systems, data pipelines, APIs, and PostgreSQL architecture. Improve reliability, observability, incident response, deployment, and CI/CD practices. Partner with SRE, Cloud Infrastructure, Product, Design, and Finance teams, guide architecture and roadmap decisions, review technical work, mentor engineers, and participate in on-call rotations.

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.

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design scalable core platform services, collaborate with ML, frontend, and product teams, implement infrastructure-as-code and CI/CD, and mentor junior engineers to deliver reliable, AI-powered features.

Design and build reliable backend services and integrations for Coinbase’s Unified Merge Gate. Lead automated code review, policy evaluation, CI evidence, authorization, merge controls, repository migrations, safe rollouts, observability, and operational ownership. Partner with Security, Compliance, Infrastructure, and engineering teams to improve software review and deployment workflows while measuring merge quality, review volume, time-to-merge, and escaped defects.

Leads technical vision and strategy for Affirm’s Marketplace, Search, Ads Platform, and consumer experiences. Designs scalable full-stack platforms, guides architecture and technical excellence, coordinates initiatives across engineering teams, mentors engineers, and drives reliable delivery of customer-focused products across iOS, Android, and Web.

Designs scalable systems, leads end-to-end technical execution, drives cross-team initiatives, and contributes hands-on production code. The role maintains engineering standards across architecture, testing, CI/CD, observability, and DevOps; leads incident response and root-cause analysis; mentors engineers; troubleshoots production issues; and aligns technical delivery with product priorities.

Develop and optimize payment platforms for performance, reliability, security, fraud prevention, and seamless recurring transactions. Build payment APIs and gateway integrations, improve processing latency and throughput, monitor platform health, troubleshoot incidents, and ensure compliance with payment industry standards. Collaborate with security, payment providers, and cross-functional teams while maintaining high-quality documentation and resilient payment workflows.

Build and operate large-scale data pipelines processing terabytes of security intelligence on AWS. Develop Java software, integrate data sources, improve rating algorithms, and evolve cloud data warehouse infrastructure. Collaborate with data science, research, engineering, design, and product teams to deliver reliable cybersecurity insights. The role emphasizes scalable software development, data quality, continuous improvement, and strong communication.

Lead architecture and hands-on development of scalable backend systems and APIs supporting real-time applications at massive scale. Own the full engineering lifecycle, establish standards for reliability and testing, troubleshoot production issues, influence technical roadmaps, collaborate cross-functionally, and mentor engineers. The role requires deep backend development, distributed cloud systems, system design, automated testing, and technical leadership experience.

Design and implement high-performance, 3GPP-compliant 5G Core control- and user-plane functions on ARM-based embedded Linux. Develop in C/Go/Rust, use DPDK for packet processing, optimize latency/throughput, debug protocol and performance issues, and collaborate cross-functionally to integrate carrier-grade systems.

Design, develop, test, and maintain enterprise-scale healthcare software using C#, .NET, RESTful APIs, SQL Server, and modern JavaScript frameworks. Build scalable features, optimize databases, address concurrency issues, debug complex systems, contribute to architecture decisions, and support the full software development lifecycle. Collaborate with distributed cross-functional teams while helping modernize infrastructure through AWS migration, microservices, and cloud technologies.

Designs and delivers scalable, resilient, cloud-native infrastructure services for Azure Virtual Machine Scale Sets. Responsibilities include gathering requirements, creating design documents, writing maintainable code, estimating work, monitoring services, responding to incidents, and improving availability, reliability, observability, efficiency, and performance at hyperscale.

Build and modernize Carrum Health’s data platform by developing Python and SQL pipelines, AWS services, Terraform infrastructure, dbt transformations, observability, testing, and CI/CD. Automate carrier integrations, reduce operational toil, improve reliability, and support Databricks adoption. Extend AI-assisted ingestion and classification using Bedrock and collaborate across engineering, analytics, data science, and client-facing teams. The role includes production ownership, incident response, technical documentation, and healthcare data platform development.

Build reusable interactive front-end components for a browser-based product, focusing on graphics rendering, performance, and engaging user experiences. Own features from concept through release, collaborate with product, design, and content teams, and maintain clean code that supports both human developers and AI tools. The role requires solving demanding browser-rendering challenges and designing clear APIs for people and automated systems.

Architect and re-engineer highly scalable, resilient backend data systems supporting patient services. Lead distributed systems strategy, make architectural decisions, improve performance and reliability, mentor engineers, establish operational practices, and collaborate with product managers and cross-functional stakeholders to shape engineering and product direction.