SRE Microservices

Experience and Qualifications

• 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.