Senior Automation Engineer
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Senior Automation Engineer with expertise in AWS and Python to join our team in London. This role involves automating operational processes to reduce risk, effort, and error.
Responsibilities
- Taking ownership of manual operational processes and delivering production automation that replaces manual work.
- Engaging directly with operations or business teams to understand their workflows and proactively gathering requirements.
- Building production automation using Python, AWS Lambda, Step Functions, and other orchestrators.
- Reducing operational risk and manual effort through intelligent automation.
Requirements
Mandatory Competencies
- Ownership: 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: 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: 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: Terraform, CloudFormation, or equivalent. Foundational level expected.
Nice to Have
- 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.
We Offer
- Full-time position in London.
- Competitive salary and benefits.
- Opportunity to work on a strategic automation and operational resilience initiative.
About the Company
Our client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies, and enabling customers to create sustainable growth. We are building automation solutions on AWS and integrating with existing operational tools (Control-M, monitoring platforms, APIs).
Apply Now
If you are passionate about automation and operational resilience, we would love to hear from you. Apply now to join our team in London.
© Luxoft DXC. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Automotive,Finance,Healthcare,Life Sciences,Tech and Telecom
About the Company Luxoft, a DXC Technology Company, is a global digital strategy and software engineering firm with over 17,000 international employees across 58 offices in 29 countries. Headquartered in Zug, Switzerland, Luxoft specializes in providing tailored tech solutions that drive global business transformation. The company focuses on enhancing customer experiences and boosting efficiency through strategy, consulting, and engineering services. Products, Services & Tech Stack Core Solutions: Digital strategy and software engineering services. Technologies & Frameworks: Specific platforms, languages, or tools are not mentioned in the provided text. Project Scope & Target Clients Client Base: Automotive, finance, healthcare, life sciences, tech, and telecom. Engineering Scale: Scope and complexity of engineering projects are not specified in the provided text.
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