Automation Systems Engineer

Automation Engineer

Key Responsibilities

• Automation design & build: Create workflows/scripts/services to automate operational processes (e.g., ticket triage steps, data validations, batch reruns, retries, reconciliations, reporting).
• Platform integration: Integrate with enterprise tooling (ServiceNow, monitoring/observability, schedulers, CI/CD) as needed to run automations safely in production.
• Reliability controls: Implement guardrails (idempotency, retries/backoff, rate limits, circuit breakers), robust error handling, and recovery paths.
• Security & compliance: Follow least-privilege access, secrets management, logging standards, and audit requirements for systems and data.
• Testing & quality: Build unit/integration tests, perform non-prod validation, and define acceptance criteria aligned to operational readiness.
• Observability: Add structured logs, metrics, and health checks; define alerts/dashboards to detect failures and measure throughput.
• Documentation & handoff: Produce runbooks, support guides, and knowledge transfer for Tier 2/3 ownership.
• Stakeholder partnership: Participate in intake grooming, technical design reviews, and demos; provide weekly status and risks/issues.

Expected Deliverables

• Automation backlog & intake: A ranked inventory of automation candidates with effort/ROI estimates and success measures.
• Reusable automation framework: Templates/libraries for common patterns (config, logging, retries, auth, scheduling, notifications).
• Production-ready automations: Delivered in increments, each with code, tests, deployment artifacts, and operational documentation.
• Operational readiness package: Runbook, monitoring/alerting, rollback plan, and ownership handoff checklist for each automation.
• Metrics & reporting: A simple dashboard or report showing delivery progress and realized benefits (hours saved per month/year to date, number of times run, MTTR reduction, error rate, throughput). These metrics should be available per automation and for all automations.

Required Qualifications

• 5+ years building automations in enterprise environments (platform, operations, or reliability automation).
• Strong development skills in at least one automation-friendly language (e.g., Python, Java, JavaScript/TypeScript, PowerShell, Bash, .NET, C++), and comfort with APIs.
• Experience building resilient, production-grade workflows (error handling, idempotency, retries, auditing).
• Experience with CI/CD and source control (e.g., Git), including branching and code review practices.
• Hands-on experience with Linux/Unix and scripting; ability to troubleshoot across logs, jobs, and infrastructure.
• Understanding of security fundamentals: least privilege, secrets management, non-person IDs/service accounts, and data handling.
• Ability to work from ambiguous requirements and translate operational pain points into implementable technical solutions.
• Experience documenting and training others on the automations created and how they are invoked-automatically when a condition occurs or manually to address an identified condition.

Preferred Qualifications (Nice to Have)

• RPA experience (e.g., UiPath, Automation Anywhere, Power Automate) and/or workflow orchestration (e.g., Airflow, Control-M, Ansible, TWS/IWS).
• ServiceNow development/automation (Flow Designer, IntegrationHub, scripting) and ticket lifecycle automation.
• Cloud-native automation (containers, Kubernetes, serverless functions) and infrastructure-as-code (e.g., Terraform).
• Observability tooling experience (logs/metrics/traces) and building dashboards/alerts.
• Experience in regulated environments (SOX/SOC), including evidence capture and audit-friendly change practices.
• Familiarity with data reconciliation, financial operations, or payment/rebates domains.
• Experience with Jira, Confluence and ServiceNow.

Engagement Model & Working Expectations

• Cadence: Weekly planning/prioritization; bi-weekly demos; weekly written status (progress, blockers, risks, next steps).
• Collaboration: Partner with Production Support Engineering for toil identification and acceptance; partner with SRE for standards (monitoring, reliability patterns).
• Definition of Done: Automation is deployed, monitored, documented, and handed off with ownership and support instructions.
• Change control: All production changes follow standard change processes, approvals, and evidence capture.

Success Metrics (Examples)

• Reduction in manual hours/week for targeted processes (baseline vs. post-automation).
• Decrease in recurring incident volume for automated failure patterns.
• Improvement in MTTR/MTTA for automatable recovery scenarios.
• Automation reliability: success rate, failure rate, and mean time to recovery of the automation itself.
• Adoption: number of teams/processes onboarded to standardized patterns and reusable components.

Assumptions & Dependencies

• Timely provisioning of required access (non-person IDs/service accounts) and test environments.
• Availability of SMEs for process walkthroughs, acceptance testing, and operational handoff.
• Agreement on target platforms/standards (logging, monitoring, deployment approach) to ensure consistency.