Devops / Application Engineer

CBSbutler Holdings Limited trading as CBSbutler

Greater London

On-site

GBP 101,000 - 120,000

Full time

10 days ago

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Job summary

CBSbutler Holdings Limited trading as CBSbutler in London is seeking an experienced Application DevOps Engineer to join a hybrid team. The role emphasizes Python automation, production stability and continuous improvement within a high-volume technology environment.

You will collaborate across application, infrastructure and engineering groups to enhance reliability, scalability and operational performance of business-critical platforms, with a focus on deployments, monitoring and resilience.

Qualifications

  • Strong Python development skills for automation and tooling.
  • Experience in DevOps, Production Engineering, Platform Engineering or SRE.
  • Experience supporting business-critical, high-availability applications.
  • Good understanding of CI/CD, deployment, monitoring and software development lifecycles.

Responsibilities

  • Develop Python-based automation and tooling to improve operational efficiency.
  • Support and enhance critical production applications and services.
  • Drive improvements across resilience, availability, performance and capacity.
  • Manage deployments, releases, production readiness and failover activities.
  • Implement monitoring, alerting and observability solutions.
  • Troubleshoot complex application, infrastructure and batch-processing issues.
  • Identify root causes and deliver sustainable technical solutions.
  • Contribute to CI/CD, automation and wider DevOps and engineering best practices.

Skills

Python
DevOps
SRE
CI/CD
Monitoring
Troubleshooting
Stakeholder management
Ownership

Tools

CI/CD tooling
Monitoring tools

Job description

Application DevOps Engineer - Python

London - Hybrid

Contract £550 - £650 per day insideIR35

Financial Services Firm is hiring for an experienced Application DevOps Engineer to join a high-performing engineering team supporting critical technology platforms. This is a hands-on role focused on Python automation, production stability, application resilience and continuous improvement within a complex, high-volume technology environment. You will work across application, infrastructure and engineering teams to improve the reliability, scalability and operational performance of business-critical platforms.

Responsibilities:
  • Develop Python-based automation and tooling to improve operational efficiency.
  • Support and enhance critical production applications and services.
  • Drive improvements across resilience, availability, performance and capacity.
  • Manage deployments, releases, production readiness and failover activities.
  • Implement monitoring, alerting and observability solutions.
  • Troubleshoot complex application, infrastructure and batch-processing issues.
  • Identify root causes and deliver sustainable technical solutions.
  • Contribute to CI/CD, automation and wider DevOps and engineering best practices.
Skills and Experience:
  • Strong Python development skills, particularly for automation & operational tooling.
  • Experience in DevOps, Production Engineering, Platform Engineering or SRE.
  • Experience supporting business-critical, high-availability applications.
  • Good understanding of CI/CD, deployment, monitoring and software development lifecycles.
  • Knowledge of distributed systems, resilience, failover and capacity management.
  • Strong troubleshooting and analytical skills across applications and infrastructure.
  • Excellent communication and stakeholder management skills.
  • Proactive approach with strong ownership and problem-solving capability.
It would be an added advantage if you had any of the following:
  • Financial Services, Capital Markets or Trading Technology experience.
  • Exposure to risk, trading or regulatory technology.
  • Cloud, containers and modern DevOps tooling.
  • Large-scale distributed or high-performance computing environments.

CBSbutler is an Equal Opportunities employer and we encourage applicants from all backgrounds

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