QA Automation Engineer

• Design, build, and maintain integrations between Fullbay's business applications, including Rillet, Salesforce, Masset, Slack, and Snowflake
• Build and maintain data pipelines feeding the Snowflake data warehouse for organizational reporting and AI agent consumption
• Identify manual, repetitive, or error-prone processes and design automations with affected business owners
• Build monitoring, logging, and alerting for integration jobs; resolve failures before they affect the business
• Manage API credentials and authentication; track vendor API changes and deprecations; coordinate with vendors on integration issues
• Account for legacy and current product platforms during the migration period
• Document integration architecture, data flows, credential ownership, and runbooks
• Collaborate with Finance, RevOps, IT, and Security stakeholders to gather requirements and prioritize work
• Apply least-privilege principles to service accounts and API keys; support security reviews
• Adhere to confidentiality and compliance regulations
• Perform other duties as assigned

Integration and Automation Engineer

• Advise senior leadership on architecture and development across applications, platforms, APIs, network automation, security, data systems, operating environments, and cloud-native technologies
• Lead resolution of complex engineering challenges across multiple technology domains
• Design and develop production-grade software platforms, APIs, microservices, SDKs, libraries, automation frameworks, and reusable components
• Define architectures for distributed, event-driven, and asynchronous systems
• Establish standards for application structure, API design, code quality, testing, secure development, dependency management, versioning, releases, observability, and production readiness
• Lead technical design reviews, architecture reviews, code reviews, failure-mode analysis, and production-readiness assessments
• Build internal engineering platforms with self-service automation, standardized workflows, reusable services, and consistent developer experiences
• Create paved roads and golden paths, reusable APIs, templates, SDKs, CI/CD pipelines, test harnesses, documentation, and automated onboarding
• Design durable workflows for infrastructure and network processes using Temporal, Celery, or comparable technologies
• Build reusable workflow components for validation, certification, approvals, deployment, verification, rollback, evidence collection, and exception handling
• Design RESTful, event-driven, streaming, and standards-based integrations across enterprise platforms and infrastructure systems
• Develop data pipelines and services for network state, lifecycle data, workflow execution, telemetry, release evidence, and operational outcomes
• Design and operate containerized services using Docker, Kubernetes, OpenShift, Helm, and comparable technologies
• Develop CI/CD, GitOps, Infrastructure as Code, and configuration automation capabilities
• Build automated testing across unit, component, contract, integration, regression, performance, resiliency, and end-to-end levels
• Design highly available, fault-tolerant, scalable systems and establish SLI, SLO, error-budget, observability, and production-readiness practices
• Implement dashboards, alerts, diagnostics, automated detection, remediation, rollback, and evidence capture
• Design governed AI-assisted engineering services using RAG, semantic search, structured outputs, tool integration, evaluation, and human approval
• Embed security, resiliency, auditability, identity, authorization, secrets management, least privilege, and policy enforcement into platform design
• Translate leadership vision and business priorities into software strategies, architectural roadmaps, platform capabilities, and engineering initiatives
• Influence multiple teams without direct management authority and mentor senior engineers, technical leads, architects, and emerging principal engineers
• Evaluate new technologies through prototypes and evidence-based assessments and define adoption guidance and production-readiness criteria

Principal Engineer – Automation

• Design and implement Infrastructure as Code solutions using Ansible across VMware vCenter, bare metal, and cloud environments
• Automate VM provisioning, template management, network configuration, storage allocation, PXE boot, hardware configuration, BIOS/firmware management, and OS deployment
• Design reusable, modular Ansible roles and collections for consistent deployment patterns
• Write custom Ansible modules, plugins, and filters using Python
• Build and maintain CI/CD pipelines for testing, validating, and deploying automation code
• Integrate automation with Git, secrets management, monitoring platforms, and enterprise systems through RESTful APIs
• Create runbooks, architecture diagrams, and operational procedures
• Monitor automation execution, troubleshoot failures, and improve reliability and performance
• Participate in an on-call rotation for critical automation infrastructure support
• Track and report automation metrics such as deployment frequency, success rates, and time savings
• Support the ROCKS Kubernetes-based container management platform for classified and unclassified deployments

QA Automation Engineer jobs in Arizona

Integration and Automation Engineer

Principal Engineer – Automation

Senior Digital Automation Engineer, ROCKS Team