Ownership (CRITICAL) Has taken ownership of an operational automation project from concept to delivery. Drove work independently with minimal direction. Delivered production automation that replaced manual work.
Stakeholder Engagement (CRITICAL) Comfortable reaching out directly to operations or business teams. Proactively gathers requirements (doesn't wait for them to be handed over). Documents inputs, outputs, dependencies, and checkpoints with the people who do the work.
Operational Automation (CRITICAL) Has automated manual operational processes (not tests). Built solutions that replaced or eliminated manual work. Worked with operational/scheduling tools (Control-M, Airflow, Step Functions, Kubernetes jobs, etc.).
Process Understanding & Design Can understand operational workflows and identify which parts can be automated. Works with ops teams to optimize processes. Designs maintainable, observable, and resilient solutions. Mandatory Technical Skills:
Good level of Python. Hands-on production experience.
Lambda, Step Functions, S3, APIs/EventBridge. Practical, hands-on experience (not certification-only).
Data Pipelines & Scripting
Understanding of data pipelines. Comfort with scripting (Python, Bash, etc.).
Infrastructure as Code (Ideally)
Terraform, CloudFormation, or equivalent. Foundational level expected.
Control-M (ideally but not required – we have strong support on the team)
Financial services or regulated environment experience
Operational resilience concepts (SRE, monitoring, alerting)
AWS advanced services (SNS/SQS, Secrets Manager, CloudWatch)
Kubernetes or container orchestration
Modernizing manual/spreadsheet-based processes
