Senior Cloud DevOps Engineer
New
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ITDSFinancial Services
Warsaw-based opportunity with remote workFull-TimeSenior
Salary31,500 - 37,800 PLN per month
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Job Details
- Languages
- Fluent English (spoken and written) (B2)
- Experience
- At least 7 years
- Required Skills
- PythonBashElasticSearchKafkaKubernetesGrafanaAnsibleAzure DevOps
Requirements
- At least 7 years of experience in cloud DevOps, platform engineering, or related fields.
- Strong expertise in automation and scripting (Python, Bash).
- Proficiency in CI/CD tooling such as Azure DevOps, Ansible, and Rundeck.
- Proven experience with container platforms migration (e.g., OCP to Kubernetes).
- In-depth knowledge of networking, proxies, DNS, load balancers, and firewalls.
- Hands-on experience with observability tooling such as Elastic, Grafana, OTEL, and Kibana.
- Practical application of middleware technologies like Kafka, NGINX, and IBM MQ.
- Knowledge of cloud security solutions.
- Demonstrated use of AI tools (e.g., GitHub Copilot) to enhance engineering productivity.
- Ability to operate as a DevOps generalist across infrastructure, security, and cloud environments.
- Fluent English (spoken and written).
- Professional certifications in Cloud, DevOps, or Automation (e.g., AWS, Azure, Kubernetes) are a strong plus.
Responsibilities
- Accelerate application migration to private cloud using standardized platforms, repeatable patterns, and streamlined processes.
- Collaborate with DevOps and platform teams to develop scalable, resilient solutions, ensuring system failures are managed gracefully.
- Automate manual tasks related to provisioning, deployment, observability, and support to improve efficiency and reduce incidents.
- Implement proactive capacity planning using automated predictive analysis, ensuring seamless capacity upgrades ahead of demand.
- Drive improvements in development and operational performance by leveraging SLIs/SLOs, error budgets, and real-time monitoring dashboards.
- Promote best practices for continuous delivery, aiming for zero operational incidents during releases.
- Design migration-ready solutions across networking, container platforms, middleware, and security domains while aligning with compliance standards.
- Enhance observability and telemetry using logs, metrics, and traces, ensuring end-to-end traceability of critical user journeys.
- Apply AI-assisted engineering tools to optimize troubleshooting, development workflows, and operational analysis.
- Foster a culture of collaboration and continuous learning, providing guidance and training to team members and stakeholders.
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