5+ years of experience in SRE or DevOps roles, building and managing large-scale, high-availability systems across banking, fintech, e-commerce, or other data-intensive digital ecosystems.
Bachelor’s degree in Computer Science or equivalent technical experience.
Strong experience with Linux environments and performance troubleshooting.
Proven expertise in Terraform and Infrastructure as Code (IaC) methodologies.
Proficiency with Kubernetes and container orchestration in microservices environments.
Hands-on experience with AWS (preferred); exposure to Azure or GCP is an advantage.
Deep knowledge of Dynatrace (AIOps, Davis AI), Prometheus, Grafana, and the ELK stack.
Experience implementing AI / ML-driven reliability or automation solutions (AIOps, anomaly detection, predictive alerting).
Practical understanding of CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI / CD or Azure DevOps).
Experience with Kafka, RabbitMQ, Redis, Aurora, and RDS databases.
Strong scripting or programming skills in Python, Bash, or Go. The Ideal Candidate
Organized, structured, and meticulous in approach.
Experienced in cross-functional collaboration and working with distributed teams.
Strong analytical mindset with excellent troubleshooting skills for complex production systems.
Calm and composed communicator under pressure, capable of leading during high-impact incidents.
Proactive problem-solver who anticipates issues and drives preventive improvements.
Passionate about AI-driven automation, observability, and reliability engineering.
Continuously learning, keeping up-to-date with cloud-native, microservices, and SRE best practices.
A collaborative and adaptable team player who thrives in a fast-paced, regulated environment and is passionate about building reliable, scalable systems that empower digital banking innovation.