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

• The Principal Automation & MES Engineer is responsible for the design, implementation, optimization, and lifecycle management of Manufacturing Execution Systems (MES)
• Lead the design, configuration, deployment, and continuous improvement of MES solutions to support manufacturing operations, electronic batch execution, data integrity, and operational efficiency
• Support integration of MES platforms with enterprise and site systems including ERP, LIMS, historians, SCADA/DCS, CMMS, and data analytics platforms
• Define and maintain MES governance, standards, lifecycle management practices, and system roadmaps aligned with business objectives
• Participate in enterprise digital manufacturing initiatives
• Provide technical leadership for automation and process control systems including DeltaV, SCADA, PLC, HMI, and related manufacturing control platforms
• Ensure manufacturing systems remain compliant with GMP, FDA, GAMP5, and 21 CFR Part 11 requirements
• Lead or contribute to capital projects, system implementations, upgrades, migrations, and site expansion initiatives
• Identify opportunities to improve manufacturing efficiency, data visibility, system reliability, and process robustness

Principal Automation, MES Engineer

• 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

• 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

• Responsible for designing, developing, documenting and supporting enterprise automation solutions for STCU using automation tools and modern program language.
• Works with other members of an Agile/SCRUM team to create and construct automation solutions and performs Tier I support for maintenance, troubleshooting, automation, and scripting.
• Breakdown assembled work order specifications into manageable tasks for Agile/SCRUM solution development by working with product, business, and application owners to understand business needs and requirements.
• Develop foundational skills/ knowledge across all automation disciplines by using resources and initiative to assist with design, development, testing, deployment and support of workflow solutions, forms administration, eSign, and job automation, independently and integrated.
• Automate tasks and processes for efficiency using automation software, PowerShell and other methods.
• Contribute to operational efficiencies, accountability, and error reduction by designing, developing, configuring and implementing automation solutions, leveraging expertise to produce solutions that enable global consistency, standardization, optimized performance, and minimal technical debt.
• Successfully deploy new automations by adhering to current Automation Development Lifecycle (ADLC) standards.
• Take an active ownership role in the security and protection of member and organizational data/records.

Enterprise Automation Developer

• 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, develop, test, and maintain C#/.NET automation tools, including console applications and Worker Services.
• Build tooling that converts Excel-based device templates into structured CSV, configuration, or pipeline-ready outputs.
• Develop and refine applied machine learning models for telemetry tag classification and template-field mapping.
• Perform feature engineering and data preparation using messy historical industrial controls and telemetry datasets.
• Prototype ML or data-processing approaches in Python when appropriate, then help transition production logic into the core C#/.NET stack.
• Validate telemetry data quality and mapping accuracy across cloud-based data pipelines.
• Work with Azure IoT, Event Hub, Kusto/KQL, and related data services to troubleshoot and verify end-to-end data flow.
• Modify, maintain, and enhance existing databases, database structures, and legacy systems as needed.
• Partner with stakeholders to gather requirements, estimate scope, and deliver solutions from development through testing and release.
• Identify opportunities to reduce manual processes, improve onboarding efficiency, and increase automation reliability.
• Troubleshoot issues, perform root-cause analysis, and make system changes to resolve defects or data-quality problems.
• Write technical documentation and provide knowledge transfer so delivered tooling can be maintained long-term.
• Mentor or support teammates through code reviews, technical guidance, and constructive feedback.

Software Engineer – C#/.NET, Applied ML, Data Automation

• Serve as the firm’s primary subject matter expert for document automation solutions, processes, and best practices.
• Support the firm’s document automation strategy by providing recommendations on technologies, processes, workflow improvements, and scalable solutions.
• Participate in the evaluation, implementation, and ongoing optimization of document automation platforms and related technologies.
• Identify opportunities to improve efficiency, consistency, accuracy, and scalability through document automation.
• Establish standards and best practices for automated document generation, template maintenance, and workflow management.
• Design, configure, and maintain integrations between Salesforce, document automation platforms, document storage systems, and other business applications.
• Build and support API-driven workflows for document generation, data synchronization, and process automation.
• Configure and troubleshoot REST APIs, webhooks, authentication mechanisms, and integration end points.
• Define and manage data mappings, transformation rules, validation logic, and synchronization processes across systems.
• Collaborate with internal and external technology partners to implement and support integration solutions.
• Monitor and resolve integration failures, API issues, data quality concerns, and workflow exceptions.
• Design, build, test, and maintain automated document templates and workflows.
• Translate legal, operational, and business requirements into scalable document automation solutions.
• Develop and maintain complex document templates using conditional logic, calculations, dynamic content, and business rules.
• Configure and manage document generation workflows to support legal and operational processes.
• Perform testing, validation, and quality assurance to ensure document accuracy, reliability, and consistency.
• Maintain and enhance a growing library of automated documents and templates.
• Partner closely with attorneys, legal staff, operations leaders, and business stakeholders to understand document requirements, workflows, and business processes.
• Collaborate with software developers, Salesforce administrators, and technology stakeholders to support effective integration between document automation platforms and Salesforce and other business systems.
• Define data requirements, mapping needs, and workflow dependencies for document generation processes.
• Assist with user training, adoption, troubleshooting, and ongoing support.
• Document business processes, automation workflows, template logic, and system configurations.
• Monitor system performance, adoption, and effectiveness.
• Identify opportunities to streamline workflows, reduce manual effort, and improve the user experience.
• Research emerging document automation technologies and industry best practices.
• Recommend enhancements that improve efficiency, accuracy, scalability, and long-term maintainability.

Document Automation Engineer

• Design, develop, and maintain automation pipelines that streamline operational, validation, and engineering workflows.
• Analyze business and operational requirements and translate manual processes into scalable technical solutions.
• Integrate and consolidate data from databases, APIs, work tracking systems, spreadsheets, document repositories, and other enterprise data sources.
• Build software solutions that ingest, normalize, validate, and report on operational and telemetry-related data.
• Develop reusable validation frameworks, quality checks, and reporting components that can be leveraged across multiple workflows.
• Automate manual review and approval processes while maintaining appropriate human oversight and governance controls.
• Create reliable scripts, services, and tools with robust logging, monitoring, error handling, retry mechanisms, and auditability.
• Produce technical specifications, implementation plans, test strategies, and supporting documentation.
• Enhance and maintain existing automation tools to align with evolving business requirements and operational standards.
• Conduct unit testing, integration testing, system validation, and post-deployment verification activities.
• Troubleshoot issues across both modern and legacy systems, identify root causes, and implement long-term solutions.
• Partner with engineering, operations, and program stakeholders to ensure automation outputs are accurate, actionable, and operationally effective.
• Support the development of repeatable reporting pipelines, operational readiness tooling, and data quality verification processes.

Software Engineer – Automation

• Directs the design and installation of new or replacement robotic and automation equipment
• Develops standards for reliability and guidelines for engineering and maintenance activities on said equipment
• Responsible for the daily maintenance activities on equipment and systems
• Acts as project leader on new equipment procurement, installation, commissioning, and training
• Leads or assists in feasibility studies for new robotic or automation equipment
• Trains operations and maintenance users in new systems operations and maintenance activities
• Researches and investigates new technologies to decrease CPNA’s costs, increase effectiveness, and maintain business viability
• Ensures all systems have secure protection protocols consistent with BlueScope standards
• Supports CPNA digital and customer experience initiatives to provide highly integrated technology solutions

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

• Investigate and document customer data sources and build agentic AI-powered workflows.
• Design and build scalable ETL/ELT pipelines that ingest, transform, and deliver data across Adobe Experience League's MarTech platforms.
• Develop and maintain automation workflows that reduce manual data handling and improve data quality across the marketing tech stack.
• Partner with marketing, content, and analytics partners to translate business requirements into robust data engineering solutions.

Senior Data Automation Engineer

• Develop and maintain internal tools and systems that automate existing work and increase productivity using AI
• Rapidly prototype AI-enabled utilities/automations and deploy them into production
• Troubleshoot and resolve automation issues and recommend preventive actions
• Partner with teams across I&O to identify high-impact automation opportunities
• Communicate system issues, resolution plans, and recommendations clearly

QA Automation Engineer jobs in Washington

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