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Lead Automation Engineer

Luxoft
London, GBR
Full-time
Lead
Onsite
Discovered 1 weeks ago
Mandatory Competencies: 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: • Python - Good level of Python. Hands-on production experience. • AWS Services - 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.

Full Job Posting

Responsibilities

  • Taking ownership of manual operational processes • Engaging directly with operations or business teams to understand their workflows • Building production automation (Python, AWS Lambda, Step Functions, orchestrators) • Reducing operational risk and manual effort through intelligent automation
  • Taking ownership of manual operational processes
  • Engaging directly with operations or business teams to understand their workflows
  • Building production automation (Python, AWS Lambda, Step Functions, orchestrators)
  • Reducing operational risk and manual effort through intelligent automation

Qualifications

  • Must have
  • Python - Good level of Python. Hands-on production experience.
  • AWS Services - 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.

Preferred Qualifications

  • 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

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