QA Automation Engineer

• Scope, design, and build scalable, resilient distributed systems
• Engage in cross-functional collaboration throughout the entire software lifecycle
• Participate in design sessions and code reviews with peers to elevate the quality of engineering across the organization
• Utilize your expertise in designing and developing APIs and microservices using graphQL, gRPC, Java, Python, Kafka, with a deep understanding of API first design
• Deploy applications in a hybrid cloud environment utilizing Kubernetes, various data stores, and a variety of cloud native tools and services
• Work on End-to-End solutions that may span front-end through API tiers and Back-End domain services

Senior Software Engineer – C#/Java/AI

• Administer, maintain, and optimize endpoint security platforms including EDR/XDR, device control, and endpoint management solutions.
• Develop and maintain security automation workflows to improve detection, response, remediation, and operational efficiency.
• Create and support scripts and automation tools using PowerShell, Python, Bash, or similar languages.
• Monitor endpoint security alerts and collaborate with Security Operations teams during investigations and incident response activities.
• Implement endpoint hardening standards and security baselines for Windows, macOS, Linux, and mobile platforms.
• Support identity and access management initiatives related to endpoint security controls.
• Integrate endpoint security tooling with SIEM, ticketing, orchestration, and monitoring platforms.
• Participate in security assessments, audits, compliance initiatives, and remediation efforts.
• Troubleshoot and resolve complex endpoint security and automation issues.

Endpoint Automation Engineer

• Architect, design, implement, debug, test, and deploy production software for automated scientific instruments and semiconductor metrology systems
• Develop responsive, multithreaded Windows applications using C#, .NET, WPF, and modern C++/STL
• Integrate desktop software with precision motion, nano-positioning, vision, data-acquisition, control, and automation subsystems
• Design low-latency software that coordinates real-time hardware behavior with non-real-time workflows, data persistence, and intuitive interactive controls
• Own architecture for new capabilities and guide their integration into a mature product codebase through sound interfaces, layering, refactoring, and incremental delivery
• Diagnose complex behavior across software and hardware boundaries; lead technical investigations, articulate options and risks, and drive issues to resolution
• Lead software integration and product deployments in partnership with applications, systems, hardware, test, and manufacturing engineering teams
• Remain deeply hands-on while providing technical direction and raising engineering quality across a small cross-functional team
• Use VS Code and AI coding agents as core engineering tools across the software development lifecycle while applying rigorous technical judgment to all generated work

Software Development Engineer IV – Windows Instrumentation, Automation

• Architect, design, implement, debug, test, and deploy production software for automated scientific instruments and semiconductor metrology systems
• Develop responsive, multithreaded Windows applications using C#, .NET, WPF, and modern C++/STL
• Integrate desktop software with precision motion, nano-positioning, vision, data-acquisition, control, and automation subsystems
• Design low-latency software that coordinates real-time hardware behavior with non-real-time workflows, data persistence, and intuitive interactive controls
• Own architecture for new capabilities and guide their integration into a mature product codebase through sound interfaces, layering, refactoring, and incremental delivery
• Diagnose complex behavior across software and hardware boundaries; lead technical investigations, articulate options and risks, and drive issues to resolution
• Lead software integration and product deployments in partnership with applications, systems, hardware, test, and manufacturing engineering teams
• Remain deeply hands-on while providing technical direction and raising engineering quality across a small cross-functional team

Senior Software Development Engineer – Windows Instrumentation and Automation

• Be an energetic self-starter with the ability to take ownership and be accountable for deliverables, both individually and as part of a team
• Collaboratively brainstorm, define, and build software solutions
• Work with internal business partners to analyze requirements and craft elegant, robust, and reliable solutions to solve complex technical problems
• Raise the technical IQ of the team by being passionate about learning and sharing the newest technologies & tricks with others
• Develop architectural and automation strategies while representing the systems team as a technical leader
• Report regularly on the status of critical projects

Full-Stack Engineer II, Automation and Dev

• Create and execute test plans, test cases, and test scripts to validate functional, non-functional, and regression testing for embedded software components.
• Design, develop, and maintain automated test frameworks, scripts, and tools for testing embedded software systems in automotive environments.
• Collaborate with cross-functional teams to review requirements for completeness and testability, analyze and provide feedback on system architecture, and derive test scenarios from requirements, use cases and analysis of system design.
• Work collaboratively with the development teams to develop and test in tandem, troubleshoot and resolve bugs and issues, and strive for high quality software and functionality through iteration and automation.
• Participate in code reviews and provide feedback on testability and maintainability.
• Contribute to the continuous improvement of testing processes, methodologies, and best practices.
• Domestic Travel Required up to 10%.

Senior Software Developer in Test – Infrastructure, Automation

• Design, develop, and commission SCADA systems for utility-scale solar PV projects.
• Handle SCADA project-related tasks of intermediate scope and complexity.
• Provide excellent customer service, including same day response to customer emails or calls.
• Consistently meet Nor-Cal’s Core Values.

Automation Designer I, Controls Engineer

• Own the end-to-end design, development, and delivery of automation and application solutions using Power Platform (Power Automate, Copilot and Power Apps) and other enterprise tools.
• Collaborate with business stakeholders to translate requirements into scalable technical solutions.
• Design robust automation workflows, including exception handling, logging, monitoring, and resiliency.
• Monitor and optimize production automations to ensure reliability, performance, and adherence to SLAs.
• Identify process improvement opportunities and recommend automation strategies to increase efficiency and reduce manual effort.
• Contribute to enterprise automation standards, governance, and best practices, including security and compliance requirements.
• Leverage Azure DevOps and Git for source control, CI/CD pipelines, and release management.
• Communicate project status, risks, and technical solutions clearly to both technical and non-technical audiences.
• Evaluate emerging technologies and recommend innovations aligned with enterprise automation strategy.

Software Engineer – Automation

• Responsible for Installation and qualification of automation systems for batch processing tanks, solvent recovery system, filter dryers, HPLCs, filtration system, Lyophilizers, ultra-low freezers, HVAC, solvent distribution and recovery system, compressed air, purified water, and wastewater system
• Collaborate with production and controls team to develop and streamline production process in automating the new and existing system by harmonizing and leveraging technology developed by Center of Excellence
• Develop and train cross-functional team members on utilization and maintaining new automation systems for equipment and system
• Troubleshoot and monitor automation systems and trends to ensure that equipment works to its specifications and appropriate capacities
• Support engineering team and coordinates engineering activities to design, develop, and execute the automation part of strategic investment projects

Senior Automation Engineer

• Develop and maintain EAG/API-gateway automation components that integrate with Government-approved CI/CD pipelines.
• Create and validate configuration-as-code, pipeline-compatible deployment artifacts, gateway promotion workflows, API validation gates, and migration automation components.
• Support automated checks for API specification quality, governance compliance, Zero Trust controls, telemetry, configuration drift, and production-readiness evidence.
• Build automation and validation evidence that supports PWS automation outcomes, including 75 percent manual onboarding reduction, 90 percent automated onboarding success rate, and 100 percent Zero Trust/governance compliance prior to production deployment.
• Troubleshoot gateway-side CI/CD integration issues, including deployment failures, configuration errors, credential/certificate dependencies, environment promotion issues, and validation gate failures.
• Support Git-based version control, branching, pull/merge request workflows, artifact repositories, and release evidence.
• Coordinate with Government CI/CD, DevSecOps, cybersecurity, identity, network, and release teams for platform-owned dependencies.
• Produce pipeline documentation, automation runbooks, validation logs, deployment evidence, rollback steps, and knowledge-transfer materials.

Gateway Automation Engineer

• Architect and drive AI-based automation strategies to replace manual QA
• Utilize AI agents to modernize existing features
• Build and refine workflows where AI agents generate code
• Establish robust validation frameworks to ensure AI-generated artifacts meet quality standards
• Act as a "Team Captain" for automation initiatives
• Collaborate with engineering teams to integrate automated testing into the core development lifecycle

Automation AI Ops Engineer

• Lead the team responsible for building and operating Tubi's multi-platform test automation infrastructure.
• Define and own Tubi's multi-platform automation strategy.
• Establish testing standards, coverage targets, and quality gate policies.
• Design specialized test strategies for business-critical scenarios.
• Lead the design and maintenance of scalable, cross-platform automation frameworks.
• Ensure automation suites are reliable, fast, and integrated as quality gates in CI/CD.
• Manage and grow a team of automation engineers.
• Drive consistent AI tool adoption across the team.

Automation Engineering Manager

• Define and drive enterprise architecture for AI automation and business transformation.
• Improve operational efficiency, resilience, and process quality by establishing scalable AI automation architecture standards and governance guardrails.
• Accelerate transformation delivery and reduce rework through clear design frameworks, decision models, and reusable automation patterns.
• Embed AI-first architectural practices that improve automation scale, decision quality, and measurable business outcomes.
• Partner across business, platform, data, security, and engineering functions to create shared clarity from concept through execution for transformation initiatives.

Principal Automation Engineer

• Own and help execute Avalara's enterprise AI automation and transformation strategy
• Design and build scalable automation solutions that reduce manual work and improve business process efficiency
• Develop AI-enabled workflows, intelligent agents, and decisioning frameworks that support business transformation
• Architect API-first and event-driven integrations that connect enterprise systems
• Establish platform standards for development, deployment, monitoring, and reliability across automation initiatives
• Define and maintain CI/CD processes
• Create reusable automation frameworks and AI agent accelerators
• Implement observability, monitoring, alerting, and performance measurement practices
• Lead technical design reviews, workflow assessments, and mentor engineers

AI Automation Engineer – Level V

• Design and build automation that drives reliability and operational consistency across conference room deployment
• Develop observability solutions for meeting room devices, AV systems, network dependencies, and vendor platforms
• Create scalable support and self-healing workflows
• Serve as a senior technical contributor: lead complex investigations, mentor engineers and support teams

Senior AV Automation Engineer

• Design, build, implement, and maintain scalable AI-powered automations, integrations, and workflow solutions that support operational efficiency across the organization
• Develop and support automation solutions using technologies such as Python, SQL, APIs, orchestration tools, and AI platforms
• Lead the ongoing administration, optimization, and support of BELAY’s internal AI and automation tools and systems
• Partner with cross-functional teams to identify workflow inefficiencies and develop scalable automation and AI-driven solutions
• Translate business needs into technical requirements and communicate technical concepts clearly to both technical and non-technical stakeholders
• Establish and track key performance indicators (KPIs) to measure the effectiveness and business impact of automation and AI initiatives

AI Automation Engineer – Enablement Lead

• Serve as the primary technical lead for on-site end user services, ensuring consistent, high-quality support across all service areas.
• Deliver and coordinate 24/7 white-glove support for EC and ELT members, resolving issues with discretion, speed, and precision.
• Provide Level 1 and 2+ deskside and remote troubleshooting support for Windows-based environments, including desktops, laptops, mobile devices, and AV/conferencing systems.
• Act as the escalation point for complex or sensitive support issues involving executive stakeholders.
• Provide hands-on technical oversight of vendor-managed site teams, ensuring adherence to service standards and rapid issue resolution.
• Partner with managers to align support operations with business needs and reinforce a service-first culture.
• Build and maintain strong relationships with business stakeholders, acting as a trusted advisor for executive technology needs.
• Promote a culture of service excellence, accountability, and continuous improvement across the site.
• Maintain and update tickets in alignment with SLA and KPI targets.
• Manage IT asset lifecycle including procurement, inventory, and disposal.
• Oversee incident response and root cause analysis for executive-impacting issues, ensuring timely resolution and communication.
• Coordinate change, release, and problem management processes, ensuring minimal disruption to executive operations.
• Ensure compliance with IT policies, documentation standards, and security protocols across all site support activities.

End User Services Automation Engineer

• Build and evolve the Python systems that power integrations across both Airbyte Data Replication and Airbyte Agents.
• Work on integrations that power both traditional data movement workflows and AI agent use cases, including searchable context, action execution, and real-time business data access.
• Build systems that use AI to detect, diagnose, and remediate connector failures with minimal human intervention.
• Design tooling and abstractions that enable Airbyte engineers to build, roll out, and monitor integrations faster and more reliably.
• Drive initiatives focused on self-healing infrastructure, intelligent retries, automated compatibility fixes, and operational resilience.
• Partner closely with Customer Engineering and Support teams to identify recurring operational issues and eliminate them systematically through automation and platform improvements.
• Lead technically ambiguous projects from exploration through production rollout while balancing speed, reliability, and long-term maintainability.
• Mentor engineers, raise technical standards, and help shape engineering direction across the integrations ecosystem.

Senior Software Engineer, Integrations – API Sources, Automation

• Design, develop, and maintain full-stack custom business applications including manufacturing execution systems (MES), asset management tools, and unified internal operational dashboards
• Build and maintain software integrations across the company’s internal systems portfolio, including SAP S/4HANA Cloud Public, SAP Business ByDesign, SAP Concur (Travel, Expense & Invoice), Salesforce, Google Workspace, Zoom, Slack, Jira, GitHub, and additional platforms as the business evolves
• Serve as the company’s primary subject matter expert on artificial intelligence and key member of the AI Risk Committee
• Design and deploy AI-powered agents and automated workflows using platforms such as Anthropic Claude and Google Gemini to systematically identify and eliminate routine manual tasks across the organization
• Architect and implement prompt engineering strategies, agentic frameworks, and multi-step AI pipelines tailored to specific business use cases and operational requirements
• Continuously evaluate emerging AI tools, LLM capabilities, agent frameworks, and automation platforms; build proof-of-concepts and recommend adoption paths aligned with company objectives and infrastructure
• Establish and maintain internal AI standards, best practices, and responsible use guidelines to ensure consistent, secure, and effective AI adoption across the organization
• Lead cross-departmental discovery sessions to surface automation and AI opportunities, partnering with business stakeholders to translate operational needs into scalable, maintainable technical solutions
• Develop and deliver internal training, documentation, and enablement resources to educate employees on AI tools and capabilities, building a culture of intelligent automation throughout the company
• Build, maintain, and document RESTful APIs and integration middleware connecting internal and external systems
• Review and validate code quality, architectural decisions, and AI/automation design patterns; mentor contributors and help establish team standards as the AI practice grows
• Document systems, integrations, automation logic, and AI agent configurations to ensure maintainability, reliability, and effective knowledge transfer
• Build the foundation for and grow into leading a dedicated AI Automation & Integrations team. Including defining team scope, structure, and technical direction as the practice matures within Business Technology
• Follow all best practices and procedures as established by the Business Technology leadership.

DevOps Engineer III, AI – Business Automation

• Architect and build the core automation runtime, focusing on resilient UI interactions, reliable programmatic data entry, and robust session routing.
• Design and implement secure network interception layers to seamlessly capture and parse underlying financial data streams without relying solely on fragile UI elements.
• Build and maintain high-performance communication protocols that connect our distributed client-side agents to a centralized backend routing hub.
• Develop elegant solutions to navigate complex, multi-step authentication flows—such as MFA and Passkeys—by seamlessly bridging background automation with user-facing interactive prompts.
• Navigate and engineer around the strict execution boundaries, security sandboxes, and ephemeral lifecycles inherent in modern browser and mobile webview environments.
• Build resiliency and scalability into the platform at every step, adapting quickly to dynamic DOM changes, varying mobile/desktop portal structures, and application suspension states.
• Introduce industry-leading engineering patterns and practices that give us the confidence to operate at scale.
• Support the engineering team in achieving a high level of technical excellence, actively mentoring senior and mid-level engineers.

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