Aquent
Senior Automation Engineer [AQ-21737]
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Job Title: Automation Lead
Join a leading organization at the forefront of innovation, dedicated to delivering essential services and shaping a sustainable future. This dynamic company is committed to leveraging cutting-edge technology to enhance efficiency, drive digital transformation, and provide exceptional value to its customers. Partnering with Aquent, we are seeking visionary talent to contribute to our mission of operational excellence and technological advancement.
Are you a seasoned automation trailblazer ready to make a significant impact? We are seeking a highly skilled and passionate individual to step into a pivotal role, leading the charge in engineering sophisticated automation, digital worker, and agentic solutions. In this exciting position, you won’t just build; you’ll innovate, define best practices, and mentor a team, directly influencing our digital landscape and empowering our operations. Your expertise will be crucial in translating complex business needs into robust, scalable, and secure solutions, driving efficiency and unlocking new possibilities across our organization.
Key Responsibilities
- Lead the full lifecycle technical delivery of complex automation solutions, from initial assessment and design through build, testing, transition, and continuous improvement.
- Translate process designs, user stories, and non-functional requirements into maintainable solution designs and actionable delivery plans.
- Drive the development of high-complexity solutions involving multiple systems, sensitive data, custom connectors, APIs, unattended automation, and agentic orchestration.
- Champion engineering quality by leading peer reviews of code, configuration, solution architecture, and deployment artifacts.
- Establish and enforce engineering standards for naming, source control, Application Lifecycle Management (ALM), Continuous Integration/Continuous Delivery (CI/CD), and robust error handling.
- Design and implement solutions adhering to approved environment, data loss prevention (DLP), security group, role-based access, and service-account patterns.
- Collaborate with platform engineering and architecture teams to ensure environment readiness, connectivity, credentials, capacity, licensing, and production monitoring.
- Embed Responsible AI controls into agentic solutions, ensuring grounding, permissions, guardrails, human escalation, content safety, auditability, and monitoring.
- Design for supportability from the outset, including runbooks, operational handbooks, support models, Service Level Agreements (SLAs), monitoring, alerting, and comprehensive business/technical exception handling.
- Lead deployment, smoke testing, production verification, and early life support fixes for assigned solutions.
- Resolve escalated production defects and contribute to root-cause analysis, emergency changes, resilience improvements, and service reviews.
- Foster a culture of reuse by creating and maintaining shared components, patterns, templates, APIs, starter kits, and engineering guidance; promote their adoption across teams.
- Provide technical coaching, pairing, and constructive review for automation engineers, citizen developers, and delivery partners.
- Contribute to communities of practice, technical training, and knowledge transfer, helping raise engineering consistency across the automation ecosystem.
- Act as a trusted technical advisor to process analysts, product owners, business Subject Matter Experts (SMEs), architects, support teams, and suppliers.
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Impact and Growth Opportunities
Role
In this role, you will be at the heart of our digital transformation journey, directly shaping how we build and deploy intelligent automation. You’ll have the opportunity to:
- Drive Innovation: Lead the adoption of cutting-edge automation and AI technologies, setting new benchmarks for efficiency and capability.
- Influence Architecture: Play a key role in defining and implementing robust engineering standards and architectural patterns that will scale across the organization.
- Mentor and Develop: Guide and elevate the technical skills of your peers and junior engineers, building a stronger, more capable team.
- Strategic Impact: Your solutions will directly contribute to measurable business outcomes, improving operational resilience, performance, and cost-effectiveness.
- Continuous Learning: Engage with emerging technologies like agentic AI and advanced cloud services, ensuring your skills remain at the forefront of the industry.
Qualifications
Must-Have Qualifications
- Demonstrable experience designing, building, testing, and deploying enterprise automation solutions in a governed production environment.
- Strong hands-on capability in Microsoft Power Platform, including Power Automate cloud flows, Power Apps, and Dataverse, plus experience with Power Automate Desktop or equivalent Robotic Process Automation (RPA) tooling.
- Experience with Copilot Studio, agentic automation, Azure AI Foundry, Azure integration services, or AI-enabled workflows.
- Experience leading technical delivery for solutions with integrations, APIs, custom connectors, security roles, service accounts, and multiple environments.
- Strong understanding of Application Lifecycle Management (ALM), source control, deployment pipelines, Continuous Integration/Continuous Delivery (CI/CD), solution packaging, and environment configuration.
- Ability to design robust error handling, retry mechanisms, logging, monitoring, alerting, and comprehensive business/technical exception patterns.
- Experience producing and assuring solution designs, operational handbooks, runbooks, release notes, test evidence, and support handovers.
- Ability to lead code reviews, diagnose complex defects, make proportionate engineering decisions, and coach other engineers.
- Clear written and verbal communication with technical and non-technical stakeholders.
- Advanced engineering knowledge across Power Automate Desktop, cloud flows, Power Apps, Copilot Studio, Dataverse, APIs, and custom connectors.
- Strong knowledge of solution design, coding standards, peer review, source control, deployment pipelines, and managed-solution practices.
- Experience designing technical and business exception handling, retries, recovery paths, logging, and monitoring.
- Knowledge of functional, integration, regression, performance, and non-functional testing.
- Strong awareness of security, Data Loss Prevention (DLP), access control, and data governance within cloud platforms.
- Awareness of Responsible AI controls, including groundedness, hallucination management, content safety, bias, human oversight, data leakage, and prompt-injection risk.
- Understanding of data protection regulations (e.g., GDPR, ISO27001) and experience working within regulated environments.
- A degree, higher-education qualification, or equivalent professional experience in software engineering, computer science, information systems, automation engineering, or a related discipline.
- Relevant practical training or demonstrable professional experience in enterprise automation or low-code solution engineering.
- Agile delivery training or equivalent experience working within Scrum-based engineering teams.
- Demonstrable learning or certification in at least one relevant automation, cloud, software-development, or service-management discipline.
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Nice-to-Have Qualifications
- Microsoft certifications (e.g., PL-100, PL-200, PL-400).
- Azure certifications (e.g., AZ-900, AI-900, AZ-204).
- Knowledge of creating APIs.
- Familiarity with enterprise systems such as ServiceNow, SAP, or GIS platforms.
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