Top Senior Software Engineer Jobs in Tucson, AZ

Build and operate secure, scalable multi-cloud infrastructure across AWS, GCP, and networking platforms. Develop self-service tooling, infrastructure-as-code defaults, cloud guardrails, and standardized platform patterns. Lead cross-team infrastructure initiatives, technical investigations, and operational improvements while partnering with security, compute, routing, and other infrastructure teams.

Build and operate blockchain network infrastructure integrating protocols such as Bitcoin and Ethereum with internal services. Design reliable APIs, SDKs, data contracts, observability, and SLOs; lead multi-quarter chain integrations, architecture modernization, and migrations. Improve latency, reliability, and cost for high-throughput distributed systems while owning production services and on-call responsibilities.

Lead technical strategy and execution for multi-quarter initiatives, build and maintain software systems using AI, mentor and elevate engineers, collaborate across disciplines, and protect user privacy and security. The role involves working in an AWS and Kubernetes environment with technologies including Python, TypeScript, React, Go, Airflow, dbt, and Claude Code.

Build scalable, API-first platform capabilities through manifest-driven development. Develop Java and Kotlin backend services and Python workers for third-party integrations, collaborate across engineering teams, participate in architecture reviews, and troubleshoot production systems using logs, metrics, and traces. The role requires expertise in highly scalable systems, object-oriented design, REST services, relational databases, responsive messaging, caching, and software quality practices.

Design and implement scalable backup software for endpoints, servers, and cloud applications. Develop Java and Kotlin services, optimize databases and queries, debug production systems, and resolve distributed-system performance issues. Contribute code, reviews, architecture discussions, documentation, and cross-team reliability initiatives. Mentor engineers and help deliver resilient products operating at large scale.

Lead development and architecture of highly scalable Java services supporting NinjaOne’s third-party patching catalog. Design high-availability systems, solve complex scalability and system-design challenges, improve quality and performance, collaborate cross-functionally, mentor engineers, and own technical initiatives. The role requires expertise in Java, RESTful APIs, Spring, relational databases, caching, asynchronous application design, and large-scale cloud systems.

Develop and architect scalable Java software for NinjaOne’s endpoint management platform. The role involves building high-availability services, leading technical initiatives, making architectural decisions, improving quality practices, collaborating cross-functionally, mentoring engineers, and addressing scalability, performance, and technical debt challenges.

Develop and scale backend patch-management software using Java and Kotlin for millions of endpoints. Implement enterprise software, design scalable systems, build REST services, work with relational databases and caching systems, and uphold rigorous testing and quality standards. Collaborate with AI workflow, server, platform, design, and product teams. React or Angular experience may support occasional frontend work.

Design, develop, launch, and maintain scalable backend systems and APIs used by merchant and partner integrations. Collaborate with engineers and stakeholders, balance speed with system quality, debug code, conduct code reviews, and write tested, extensible software. The role requires experience with distributed systems, Python or Kotlin, AWS, MySQL, and Kubernetes, along with strong communication and ownership of professional growth.

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Volunteer senior engineer to develop a cross-platform medical/wellness app (web, iOS, Android). Own full SDLC: design, coding, testing, data models, pipelines, deployments, and collaborate in Agile processes. Attend weekly standups and commit at least 4 hours weekly.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, PCIe, GPUs, firmware, drivers, and software. Develop automation, telemetry, diagnostic tools, operational playbooks, and escalation procedures to improve observability and reduce mitigation time. Partner with engineering teams and manufacturers to resolve systemic issues affecting AI training stability, GPU availability, and customer SLAs.

Design, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

Build and maintain large-scale automation and control systems for Azure Kubernetes Service. Responsibilities include improving Kubernetes cluster performance and reliability, automating cluster lifecycle operations, developing safety and observability tools, supporting secure infrastructure changes, participating in production operations and on-call rotations, and mentoring engineers through design reviews and continuous improvement.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.

Designs and develops cloud-native full-stack applications using Node.js, Koa.js, React, and TypeScript. Builds agentic AI modules with Python and MCP architectures, develops reusable accessible UI components, maintains automated testing, resolves production issues, participates in architecture and technical design, improves performance and CI/CD systems, collaborates cross-functionally, and mentors engineers.

Develop and evolve Azure capacity infrastructure, platform capabilities, and service stacks at scale. Provide technical leadership in requirements, architecture, design, coding, release planning, and operational reliability. Mentor engineers, manage cross-product dependencies, serve as a designated responsible individual, participate in on-call support, and improve system availability, observability, performance, and efficiency.

Own end-to-end delivery of complex software features for a virtual care platform. Design scalable systems, build AI-powered agents and workflows, enhance reliable mobile and web experiences, and translate clinical and user needs into technical solutions. Collaborate with product managers, designers, and clinical staff while focusing on patient impact, product quality, and engineering efficiency.

Develop and maintain high-scale JavaScript and TypeScript advertising technology, specializing in Prebid.js, Prebid Server, header bidding, and Google Ad Manager. Own the header bidding wrapper, implement ad tech integrations, monitor Core Web Vitals and performance, review code, track industry standards, and maintain deployed solutions. The role requires deep programmatic advertising expertise, Google Cloud experience, and ownership of reliable client-side monetization systems.

Build production-grade test automation infrastructure across API, integration, end-to-end, contract, regression, load, and performance testing. Develop Playwright suites, integrate automated tests with GitHub Actions release gates, create AI-assisted test generation workflows, maintain coverage dashboards, reduce flakiness, and establish performance-testing frameworks. Partner with engineers and product managers to define coverage, acceptance criteria, performance thresholds, and quality standards across the organization.

Design, build, and evolve customer-facing backend services and public APIs for Chainguard’s platform. Own features end-to-end from technical design through rollout and iteration, partnering with Product and front-end teams. Develop reliable, observable cloud-native services consumed across multiple products, contribute to roadmap prioritization, and deliver iteratively in a remote startup environment.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Principal Software Engineer responsible for operating and improving business-critical data pipelines and infrastructure. Duties include developing monitoring, alerting, logging, CI/CD workflows, scalable data integrations, automated testing, deployment automation, and production support. The role troubleshoots workflow failures, data-quality issues, performance bottlenecks, and infrastructure incidents while collaborating with data engineers, platform engineers, and architects. Preferred experience includes Databricks, Spark, AWS, Terraform, Unity Catalog, Delta Lake, observability, identity management, and enterprise data platform governance.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.