Posted 6 days ago
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.
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