QA Automation Engineer

• Develop and maintain automated tests to help ensure high test coverage and fast feedback on defects
• Continuously maintain and improve our test frameworks
• Manage test strategy, product testing, and planning within your sprint team
• Create testing-related documentation including test plans and test cases
• Find and report bugs and track these to resolution in a timely manner
• Collaborate with the Product team to provide valuable insight and input to help create impactful features
• Provide clear test results to Development and Product teams to help manage project expectations/progress
• Create and maintain security and performance tests
• Develop deep expertise in the SmithRx products
• Utilize AI tools like Playwright MCP, Claude, and Copilot to realize efficiencies in your daily work
• Maintain and refine quality metrics to help track and communicate overall product health

Senior Automation Engineer

• Design, develop, and maintain automation for log ingestion, normalization, enrichment, and transformation across diverse data sources and formats
• Engineer, test, deploy, and maintain automated detections in SIEM/SOAR ecosystems
• Leverage AI and data science techniques to improve detection coverage
• Develop reusable playbooks and workflows in SOAR and workflow tools
• Automate case and ticket lifecycle management in systems such as ServiceNow, Jira, or Mission Control
• Build robust integrations with APIs, webhooks, and event buses
• Implement CI/CD practices for automations and detections
• Monitor and improve automation reliability and performance using metrics
• Collaborate with SOC analysts, incident responders, and threat intelligence teams

AI Automation Engineer

• You will own the automation and AI-enablement charter for DWX.
• Identifying the highest-leverage opportunities.
• You'll embed with our Solutions and Ops Engineers, observe the work, mine the ticket data, and find the patterns.
• Building the automation. You'll engineer end-to-end automated workflows using modern IaC (Terraform, Bicep), CI/CD (Azure DevOps, GitHub Actions), configuration-as-code patterns, and orchestration platforms (Logic Apps, Power Automate, ServiceNow flows, custom services).
• Enabling AI across the team, safely.
• Driving reliability as a discipline. You'll bring SRE practice to DWX: meaningful SLIs and SLOs for the services that matter, observability that surfaces problems before users feel them, post-incident learning that produces durable fixes, and chaos/resilience thinking applied to the digital workplace.
• Partnering broadly. You'll work alongside Solutions Engineers, Operations Engineers, the Microsoft Engineer, Cybersecurity, Networks, Architecture, Product Management, and Business Technology.

Site Reliability Engineer – Automation

• Maintain and support facility automation and control systems to ensure safe, compliant, and reliable operations in accordance with cGMP, data integrity, and regulatory requirements.
• Provide hands-on automation support for manufacturing and pilot plant processes, including real-time troubleshooting, system monitoring, and performance optimization.
• Lead and support capital projects involving the design, implementation, startup, commissioning, qualification, and lifecycle management of new automation systems and equipment upgrades.
• Configure, troubleshoot, test, and maintain automation platforms including Distributed Control Systems (DCS), Programmable Logic Controllers (PLC), SCADA systems, and batch automation systems.
• Collaborate with Process Engineering, Manufacturing, Facilities, IT, Quality Assurance, and OEM vendors to investigate issues and implement sustainable automation improvements.
• Support computerized system lifecycle activities, including authoring, reviewing, and executing SDLC/CSV documentation such as User Requirement Specifications (URS), Functional Requirement Specifications (FRS), Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), Installation Qualification (IQ), and Operational Qualification (OQ).
• Perform automation system administration activities including user access management, backups, patch management, system monitoring, asset lifecycle management, and implementation of data integrity controls.
• Participate in investigations, deviations, Quality Notifications (QNs), and Corrective and Preventive Actions (CAPAs), ensuring timely resolution of automation-related quality events.
• Prepare clear and accurate technical documentation in accordance with cGMP requirements and internal procedures.
• Drive continuous improvement initiatives focused on automation reliability, system performance, modernization, and operational efficiency.
• Provide technical leadership and mentorship to junior engineers, technicians, and cross-functional team members as needed.

Automation Engineer

• Responsible for understanding the needs of the business, providing solutions to improve efficiency, and supporting solutions implemented within the enterprise
• Serves as a liaison between business operations and automated solutions with an emphasis on workflow architecture
• Responsible for maintaining numerous workflows and detailed knowledge of their impact on all systems
• Mentors less experienced engineers
• Manages time, priorities, and customer expectations across multiple projects
• Takes technical direction from senior team members and participates in a knowledge-sharing environment
• Participates in agile team processes
• Research and specify the optimal solution for workflow-based process automation
• Design and develop the identified optimal workflow-based automated processes
• Test and certify the implemented optimal workflow-based automated processes
• Analyze business requirements specification, then translate into functional specifications
• Write and maintain technical specifications according to functional specifications
• Maintain source level control of all workflows
• Troubleshoot and resolve all defects and incidents in a timely manner
• Provide process support, which includes problem research, analysis, resolution, and on-call support
• Communicate effectively with business users, sponsors, and other product teams
• Ensures product conformance to sound engineering principles, customer requirements, and industry best practices
• Ensure all technology practices adhere to regulatory security standards
• Analyze current solutions and technologies used by back-office applications
• Foster cross-platform development, collaboration, and solutions.
• Influence changes to standards when necessary

Lead Automation Engineer

• Design and development of low-medium complexity automated test scripts.
• Execute automated test cases and report results.
• Identify, document, and track software defects to resolution using defect tracking tools like JIRA.
• Document test cases, test results, and defects clearly and concisely.
• Collaborate with the development team to understand application functionality and testing requirements.
• Maintain and update existing automated test scripts. Ensure that automated tests are up-to-date with the latest application changes and enhancements.
• Follow automation best practices.
• Create test designs; utilize best practices and methodologies to determine current and future solutions
• Use analytical processes to understand issues and evaluate solutions

Quality Automation Engineer

• Reporting to the VP, Tech & Ops Systems Governance Leader, the AVP, Tech & Ops Control Automation Engineer plays a leading role in the automation of industry standard-based control activities that support Synchrony’s operations in the public cloud.
• Identify opportunities for control automation, collaborate with stakeholders on design improvements, and lead the technical build and implementation of these enhanced controls.
• Drive innovation through Tech and Ops with a focus on using automation to eliminate manual control work, collaborative problem solving, and proactive process enhancement.
• In collaboration with Synchrony cloud control framework owners, analyze existing control catalog to identify and prioritize candidates for optimization/automation.
• Engage with activity owners throughout Synchrony to define and document business and technical requirements for control enhancements/automation.
• Execute build and implementation of enhanced/automated controls, utilizing traditional software development lifecycle practices.
• Interact and collaborate with stakeholders and control owners throughout the organization to implement necessary changes and modifications to mitigate operational, regulatory, and financial risks.
• Identify control gaps and potential issues, discuss viable solutions with stakeholders to ensure controls are operating effectively.
• Leverage critical thinking skills to look beyond existing methodologies and current discipline to define and resolve complex problems.

AVP, Tech & Ops Control Automation Engineer

• Lead validation and verification activities for SmartSense IoT sensors, gateways, and connected monitoring devices across EVT, DVT, and PVT development phases
• Execute smoke testing, regression testing, and system-level validation covering hardware platforms, firmware functionality, and system software behavior
• Validate wireless connectivity technologies including BLE, Zigbee, LTE, Wi-Fi, GPS, and other IoT communication protocols
• Perform device validation under real-world operating conditions: stress testing, soak testing, field testing, environmental testing, and long-term reliability testing
• Investigate failures using hardware debugging tools, device logs, telemetry data, and data analysis; drive root cause analysis across hardware, firmware, and system layers
• Review hardware designs and schematics produced by contract manufacturers, identifying potential validation risks and testability concerns early in the design cycle
• Collaborate with contract manufacturers to support hardware validation, manufacturing test readiness, and system-level troubleshooting
• Design, build, and maintain automated test frameworks and validation pipelines that test device behavior, connectivity, telemetry workflows, and system integrations
• Develop hardware-in-the-loop (HIL) test systems and automated device test rigs that enable scalable, repeatable validation
• Build and maintain automated environments using Python (pytest), Docker, and CI/CD pipelines to integrate validation into engineering workflows
• Own the automation strategy and roadmap, driving continuous improvement in test coverage, execution speed, and infrastructure reliability
• Apply BDD testing approaches and structured validation methodologies to ensure comprehensive and traceable test coverage
• Provide technical direction and structured guidance to the extended test engineering team, enabling more independent and effective execution
• Work closely with hardware, firmware, software, and product teams to reproduce issues, verify fixes, and continuously improve system reliability
• Ensure validation processes meet regulated and compliance-driven environment requirements, including traceability, documentation, and audit readiness
• Document validation strategies, test results, hardware architecture insights, and design decisions to support scalable development practices

Senior Hardware Validation, Automation Engineer

• Leverage AI (Playwright MCP) to accelerate test automation, refactoring, debugging, and defect triage
• Build scalable, reusable automation frameworks for API (REST/GraphQL) and UI testing
• Develop and execute automated suites for functional, regression, and integration coverage
• Improve test stability by identifying and resolving flaky tests through root cause analysis
• Integrate automation into CI/CD pipelines (GitHub Actions), enabling quality gates and continuous testing
• Partner with engineering teams to enhance product testability and streamline quality practices
• Track and report quality metrics (coverage, stability, defect leakage) using Practitest
• Manage and scale test execution via Selenium Grid and distributed environments

Automation Engineer 5 – AI Accelerated API, UI Automation

• Research adversarial techniques and translate threat behaviors into high-fidelity detections aligned to complex cybersecurity use cases.
• Design, build, and operate production-grade security detection infrastructure across Google SecOps and internal automation applications that support enrichment, orchestration, and response workflows.
• Lead telemetry and detection lifecycles, including source onboarding, parsing, normalization, enrichment, testing, deployment, tuning, and ongoing maintenance.
• Develop custom integrations, automations, and lightweight services using application programming interfaces (APIs), webhooks, and event-driven patterns to improve signal fidelity and reduce mean time to detect and mean time to respond.
• Create dashboards, metrics, and reports using business intelligence tools, structured query language (SQL), statistical analysis, and applied artificial intelligence and machine learning techniques to improve threat visibility and operational reporting.
• Apply Python, prompt-driven workflows, model context protocol (MCP) capabilities, and agent-to-agent orchestration patterns to support detection engineering, enrichment, and analytic decision support.
• Collaborate with threat intelligence, threat hunters, incident responders, red team, and engineering partners to evaluate detection coverage gaps and improve defensive capabilities.
• Manage work through Agile practices, documenting requirements, tracking delivery, and maintaining reliable platform operations across hybrid environments.

Threat Detection and 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.
• Evaluate and recommend AI and automation tools, platforms, and integrations based on scalability, maintainability, business value, security, and operational impact.
• Partner with cross-functional teams to identify workflow inefficiencies and develop scalable automation and AI-driven solutions.
• Develop and maintain a roadmap for AI and automation initiatives aligned with organizational priorities and operational goals.

AI Automation Engineer – Enablement Lead

• Design, develop, test, and deploy intelligent automation solutions using automation, workflow orchestration, and AI frameworks, to streamline healthcare operations (e.g., revenue cycle, supply chain, patient access, clinical administration).
• Integrate automation solutions with EHRs, clinical systems, data platforms, and enterprise applications while ensuring secure handling of PHI/PII in compliance with HIPAA and organizational policies.
• Contribute technical expertise to requirements sessions; clarify requirements; implement changes and ensure alignment with internal policies
• Monitor, support, and optimize production automations; troubleshoot issues, implement enhancements, and ensure high availability and performance.
• Collaborate with Data Scientists and ML Engineers to integrate machine learning, advanced analytics, or custom AI agents into workflows as required by the business case.
• Proactively identify opportunities for integrating existing COH AI platforms (e.g., HopeLLM)
• Contribute to automation standards, best practices, documentation, reusable components, and knowledge sharing across the automation and healthcare technology community.

Intelligent Automation Developer

• Partner with Senior AI Automation Engineer to find and fix manual processes
• Ship AI-powered automations
• Contribute to OUTGPT, the internal AI platform
• Work on integration tasks with REST APIs, webhooks, OAuth, SQL
• Mentor intern and grow as part of the team

• Build a majority-automated IT function
• Identify high-volume, repetitive IT processes — ticket triage and routing, access requests and provisioning, onboarding/offboarding (joiner-mover-leaver), software license assignment, password and MFA resets, and device lifecycle tasks — and automate them end to end.
• Design and ship workflow automation across the IT service management platform (Jira Service Management) including request types, approval flows, SLAs, queues, and automation rules.
• Build integrations between systems (ITSM, IdP, HRIS, endpoint management, and SaaS apps) using APIs, webhooks, and iPaaS / orchestration tooling (e.g., n8n, Workato, Zapier, or Tines).
• Stand up and maintain self-service capabilities so employees can resolve common requests without a human in the loop.
• Define and track automation KPIs — percentage of tickets auto-resolved, mean time to resolution, manual-touch reduction, and deflection rate — and report progress to IT leadership.
• Design and operate AI agents
• Build, evaluate, and maintain AI agents for IT use cases such as intent classification, ticket sizing, auto-response drafting, triage and assignment, knowledge-base curation, and stale-ticket management.
• Implement appropriate guardrails and human-in-the-loop approval gates for any agent action that is employee-facing, security-sensitive, or published to a knowledge base.
• Apply prompt engineering, retrieval-augmented generation, and agent-orchestration patterns; integrate agents with enterprise platforms via APIs and MCP-style connectors.
• Establish evaluation, monitoring, and audit practices so agent behavior remains accurate, safe, and explainable over time.
• Mentor and uplevel the team
• Coach existing systems administrators in scripting, version control, API usage, and automation design so that automation becomes a team-wide capability.
• Establish engineering practices for the IT team: source control, code review, testing, documentation, and safe change management for automations.
• Run knowledge-sharing sessions and pair on builds; create reusable templates, libraries, and playbooks that lower the barrier to automating new processes.
• Champion an automation-first mindset, helping the team evaluate whether a recurring task should be automated before it is staffed.
• Reliability and governance
• Own the lifecycle of automations and agents — monitoring, alerting, error handling, and graceful failure — so automated processes are dependable in production.
• Partner with Security and IT Compliance to ensure automated access provisioning and agent actions meet least-privilege, audit, and separation-of-duties requirements.
• Maintain clear documentation and runbooks so automations are transparent and supportable by the broader team.

Corporate IT Automation Engineer

• Lead full project lifecycle (design through commissioning)
• Provide technical leadership and mentorship to entry and mid-level engineers
• Serve as the primary client contact for automation scope
• Contribute to standards developments and process improvements
• Develop control system architecture diagrams
• Design control panels and create electrical schematics using AutoCAD
• Specify control system components
• Prepare system documentation
• Develop PLC I/O assignments
• Program PLCs using Allen-Bradley Logix platforms
• Develop HMI applications with various software
• Support clients on new and existing systems (remote and on-site)
• Design industrial networks and specify data infrastructure
• Develop custom applications using VB.NET and SQL databases
• Participate in commissioning and startup activities at client sites
• Train client operations and maintenance personnel

Senior Automation Engineer – Javlyn Process Systems

• Architect and develop SOAR playbooks and automated workflows to streamline incident triage, containment, and remediation processes, directly improving SOC efficiency and reducing mean time to response
• Build and maintain secure integrations across security, identity, and cloud platforms using APIs and custom code, ensuring scalable solutions that meet compliance and governance requirements
• Lead cross-functional collaboration with SOC, Detection Engineering, and Incident Response teams to identify automation opportunities and translate operational needs into technical solutions
• Deploy cloud-based security infrastructure using infrastructure-as-code practices, managing role-based access controls and supporting disaster recovery initiatives
• Incorporate cutting-edge AI technologies including Agentic AI and Large Language Models into security workflows to enhance decision-making and contextual understanding
• Produce executive-level reporting on automation performance metrics and ROI, presenting program effectiveness to leadership while supporting strategic security initiatives

Security Automation Engineer

• Design, implement, and operate Python-based playbooks, actions, integrations, and agents on the Luna platform
• Partner directly with GSOC CSIRT analysts and incident responders to translate their tradecraft into trustworthy, auditable automation
• Extend Luna's agentic capabilities into the GovCloud environment
• Use AI-assisted software development tooling fluently and intentionally
• Drive end-to-end ownership of the work you build: scoping, design, implementation, testing, deployment, observability, on-call support, and post-incident hardening
• Raise the bar for the team's engineering practices
• Support the team's engineering excellence by performing code reviews and mentoring other engineers
• Business hour on-call to support software services owned by the team
• Build and ship high-quality, production-grade software using modern engineering practices.

Senior Software Engineer – Agentic & Automation Engineering

• Resolve designer's tool / methodology issues on the path to TapeOut
• Provide support for design ramp up through training / documentation
• Interact with EDA providers and ensure required tools features are available for the projects with high quality
• Closely partner with PDK/library experts, flow development teams, as well as with product design teams
• Collaborate with EC to provision adequate compute capacity and help debug any associated issues
• Create automation (scripts, checkers, etc.) for installation of design environment (PDKs, EDA tools, licenses, etc.) to simplify and accelerate design processes
• Support the integration of new tools and methods into existing design workflows, ensuring seamless adoption and scalability

Design Automation Engineer – TFM/EDA

• Develop and operate scalable AI applications from the backend logic, while focusing on security and operational excellence
• Apply Agentic coding practices to develop new and AI augmented features for the application
• Participate in technology roadmap discussions to turn business requirements into functional autonomous solutions
• Write, debug, and troubleshoot code in mainstream open-source AI technologies and maintain the code base for a Data Analytics and validation platform
• Capture and refine requirements across multi-disciplinary teams
• Perform system validation and ongoing support for application
• Diagnose and resolve performance issues
• Document code/processes so that any other developer is able to dive in with minimal effort
• Integrate our systems with existing internal systems
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network or service operations and quality

Senior AI Automation Engineer

• Design, build, and maintain automated testing frameworks for Windows endpoints, macOS endpoints, VDI environments, and Microsoft 365 applications.
• Establish continuous testing practices that validate patches, feature updates, policy changes, security configuration updates, device provisioning changes, and application releases before broad deployment.
• Create reusable test suites for endpoint engineering scenarios including provisioning, compliance, remediation, configuration drift, application delivery, sign-in/access validation, and core user workflows.
• Use automation tools such as UiPath, PowerShell, and platform-specific scripting to orchestrate end-to-end validation across workplace technologies.
• Partner with Windows, Mac, Mobility, VDI, and Digital Workplace engineers to embed automated testing into release and change processes.
• Support pilot rings, phased deployments, rollback readiness, and release governance by providing reliable pre-release and post-change validation.
• Define test strategies, quality gates, test data approaches, and reporting standards that improve release consistency and operational confidence.
• Integrate automated testing into CI/CD workflows and engineering pipelines using Git-based practices and shared automation services where applicable.
• Improve platform reliability and user experience by identifying regression risks early and reducing manual validation effort across teams.
• Document test frameworks, validation standards, runbooks, and recommendations to enable broader adoption of automation-first quality practices.

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Automation Engineer 5 – AI Accelerated API, UI Automation

Threat Detection and Automation Engineer

AI Automation Engineer – Enablement Lead

Intelligent Automation Developer

AI Automation Engineer

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Senior Automation Engineer – Javlyn Process Systems

Security Automation Engineer

Senior Software Engineer – Agentic & Automation Engineering

Design Automation Engineer – TFM/EDA

Senior AI Automation Engineer

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