Senior Site Reliability Engineer (Banking)

Capco; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

B2B contract

Hybrid collaboration

Job summary

Capco Poland is seeking Poland-based Site Reliability Engineering Consultants to build and operate resilient cloud platform services for a leading global financial services organisation.

You will deliver reliable Kubernetes-based services, develop automation, and enhance CI/CD pipelines while embracing AI-enabled workflows and governance. This role requires 5+ years in SRE within regulated environments and hands-on cloud and monitoring experience.

Qualifications

• 5+ years of experience delivering SRE in highly regulated environments.
• Strong programming skills in Python, Java or Go with automation experience.
• Hands-on production Kubernetes administration and cloud platforms.
• Experience with monitoring and observability using Grafana and Prometheus.

Responsibilities

• Deliver reliable, scalable Kubernetes-based platform services.
• Develop automation to reduce manual work and improve reliability.
• Coordinate production support, incident handling and RCAs.
• Enhance CI/CD pipelines and platform automation with AI-enabled workflows.

Skills

Kubernetes

Python

Java

Go

Automation

CI/CD

Grafana

Prometheus

AWS

GCP

Terraform

Jenkins

Tools

Terraform

Jenkins

AWS

GCP

Grafana

Prometheus

Job description

CAPCO POLAND

*We are looking for Poland based candidate.

AtCapco 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.

Help build and operate resilient cloud platforms supporting business-critical digital services for a leading global financial services organisation.

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.

What You'll Do

• 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.

What We’re Looking For

• 5+ years of experience providing Site Reliability Engineering services within banking or other highly regulated environments..
• Strong programming skills inPython, 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.

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.

Recruitment Process:

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

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