Python Application/Devops Engineer

CBS Butler; Greater London; Hybrid; GBP 85,000 - 100,000; Full time

Benefits offered by this job

Bonus

Full benefits

Job summary

CBS Butler seeks an experienced Application DevOps Engineer to join its London engineering team. You will own Python automation, production stability and continuous improvement within a high-volume financial tech environment.

In this hybrid role, you’ll collaborate across application, infra and development teams to improve reliability, scalability and operational performance of critical platforms, driving resilience and efficient deployments.

Qualifications

• Strong Python development skills for automation and tooling.
• Experience in DevOps, Production Engineering or SRE.
• Experience supporting high-availability applications.
• Good understanding of CI/CD, deployment, monitoring and SDLC.
• Knowledge of distributed systems, resilience and capacity management.
• Strong troubleshooting and analytical skills across applications and infrastructure.
• Excellent communication and stakeholder management.
• Proactive ownership and problem-solving attitude.

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; investigate complex issues.
• Identify root causes and deliver sustainable technical solutions.
• Contribute to CI/CD, automation and wider DevOps and engineering best practices.

Skills

Python automation

DevOps experience

High-availability apps

CI/CD

Observability

Distributed systems

Troubleshooting

Stakeholder management

Tools

CI/CD tooling

Monitoring tools

Job description

Application DevOps Engineer - Python
London - Hybrid
Permanent - £85K - £100K + Bonus + Full Benefits

Financial Services Firm is hiring for an experienced Python 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.Investigate 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 life cycles.
• 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.