Senior Site Reliability Engineer (Banking)

At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.

We're looking for experienced Site Reliability Engineering Consultants to provide specialist engineering services supporting reliable, scalable and secure cloud platform services within a large-scale banking environment.

Working alongside engineers, platform specialists and client teams, you'll help improve platform reliability, automate operational processes and strengthen production resilience across critical services. You'll also embrace AI-enabled ways of working, using approved automation and AI tools where appropriate to improve productivity while applying sound engineering judgement and responsible AI practices.

• →Deliver reliable, scalable Kubernetes-based platform services, improving availability, resilience and operational excellence.
• →Develop automation to simplify operational processes, reduce manual effort and improve service reliability.
• →Coordinate production support activities, including participation in agreed operational support arrangements, incident response, root cause analysis and continuous service improvement.
• →Build and enhance monitoring, alerting and observability using Grafana, Prometheus and related tooling to proactively identify and resolve issues.
• →Collaborate with engineering teams to enhance CI/CD pipelines, platform automation and AI-enabled operational workflows, applying appropriate governance, human oversight and engineering judgement.

• 5+ years of experience providing Site Reliability Engineering services within banking or other highly regulated environments..
• Strong programming skills in Python, Java or Go, with experience developing automation and operational tooling.
• Hands-on experience with Kubernetes in production environments.
• Strong experience with monitoring and observability tools such as Grafana and Prometheus.
• Experience with CI/CD technologies such as Jenkins and infrastructure automation using Terraform.
• Experience working with AWS or Google Cloud Platform (GCP).
• Exposure to AIOps platforms or intelligent operational automation.
• A collaborative approach with an interest in using approved AI tools and automation to improve delivery while maintaining quality, security and responsible AI standards.
• Familiarity with platform engineering practices supporting AI or machine learning workloads.
• Experience delivering services in production environments requiring continuous (24x7) operational support.

1. HR Interview with the recruiter
2. Technical Interview
3. Client Interview 
4. Feedback and offer

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