Aquent
Senior Automation Engineer (213171)
Worthing
£51.3k – £72.5k/yr
Posted about 24 hours ago
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Client Location: Worthing - Hybrid (1 day per week onsite)
Starting: ASAP
Minimum Pay (per year): 51300.00
Maximum Pay (per year): 72500.00
Hours: Full-time
Duration: Permanent
Job Description:
The Senior Automation Engineer leads the engineering design, build, assurance, and production of complex automation, digital worker, and agentic solutions. The role provides hands-on technical leadership across the delivery lifecycle, ensuring solutions are secure, reusable, testable, supportable, and aligned to approved architecture, engineering standards, and measurable business outcomes.
The Senior Automation Engineer acts as the technical lead within delivery squads, translating process and business requirements into robust solutions across Microsoft Power Platform, Power Automate Desktop, Copilot Studio, APIs, and related Azure services. The role coaches Automation Engineers, performs code and design reviews, resolves difficult technical issues, and strengthens the reusable engineering capability needed to scale delivery.
Accountabilities
Solution engineering and delivery - 35%
- Lead the end-to-end technical delivery of complex automations, agents, workflows, and reusable services from candidate assessment and Sprint 0 through build, test, transition, early life support, and continuous improvement.
- Turn approved process designs, user stories, non-functional requirements, and benefit assumptions into maintainable solution designs and delivery plans.
- Own or lead build activities for high-complexity solutions involving multiple systems, sensitive data, custom connectors, APIs, unattended desktop automation, or agentic orchestration.
- Apply MVP discipline, manage technical scope, and expose delivery risks, dependencies, and trade-offs early.
Engineering quality and assurance - 25%
- Lead peer reviews of code, configuration, prompts, solution architecture, test evidence, and deployment artefacts.
- Ensure Definition of Ready and Definition of Done criteria are met, including documentation, testing, exception handling, security controls, release notes, and operational handover.
- Define and apply engineering standards for naming, source control, branching, ALM, CI/CD, environment variables, connection references, error handling, logging, and observability.
- Identify, record, and help prioritize technical debt, including supportability, security, deprecated patterns, legacy dependencies, and lifecycle risks.
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Platform, security, and governance - 20%
- Design solutions within approved environment, DLP, security group, role-based access, and service-account patterns.
- Work with Platform Engineering and Architecture to confirm environment readiness, connectivity, credentials, capacity, licensing, and production monitoring.
- Prepare designs and evidence for Design Authority, change governance, and production approval; address actions and exceptions promptly.
- Embed Responsible AI controls in agentic solutions, including grounding, permissions, guardrails, human escalation, content safety, auditability, and monitoring.
Service transition and live operations - 15%
- Design for supportability from initiation, not at go-live, including runbooks, operational handbooks, support models, SLAs, monitoring, alerting, and 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.
- Refactor live solutions to improve reliability, performance, maintainability, security, and run cost.
Scaling, reuse, and technical leadership - 5%
- Create and maintain reusable components, patterns, templates, APIs, starter kits, and engineering guidance; promote their adoption across central, partner, and federated 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 adviser to process analysts, product owners, business SMEs, architects, support teams, and suppliers.
Skills & Competencies
- 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 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 ALM, source control, deployment pipelines, CI/CD, solution packaging, and environment configuration.
- Ability to design robust error handling, retry, logging, monitoring, alerting, and 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.
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Knowledge Qualifications
Technical
- Advanced engineering knowledge across Power Automate Desktop, cloud flows, Power Apps, Copilot Studio, Dataverse, APIs, and custom connectors.
Essential
- Degree, higher-education qualification, or equivalent professional experience in software engineering, computer science, information 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, 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 GDPR, ISO27001, and regulated environments (Ofwat, DWI, EA) 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.
Desirable
- Microsoft certifications (PL-100, PL-200, PL-400).
- Azure certifications (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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