SRE - Appzone + Dotnet

Overview

What You Will Be Doing

• Define and implement **SLIs / SLOs** and **error budgets** for business-critical digital banking services.
• Build actionable **observability** (metrics, logs, traces, dashboards, and alerts) using **Dynatrace**, **Prometheus**, **Grafana**, and **ELK**, while reducing alert fatigue.
• Leverage **AI-driven insights** and **anomaly detection** (**Dynatrace Davis AI** or equivalent **AIOps** platform) to proactively predict and resolve reliability issues before impact.
• Lead **incident management** — from on-call triage and root-cause analysis to blameless postmortems with actionable follow-ups.
• Improve deployment safety with robust **rollout / rollback strategies**, **canary** and **blue-green deployments**, and **production readiness reviews**.
• Support and optimize **microservices-based architectures**, ensuring **service reliability**, **scalability**, and **inter-service resilience**.
• Conduct **capacity planning**, **performance tuning**, and **resilience testing**, optimizing for both reliability and cost efficiency.
• **Automate operational toil** — from runbooks and remediation scripts to proactive health checks and self-healing workflows.
• Collaborate with **DevOps** to embed **reliability gates** and validations into **CI / CD pipelines** (**GitHub Actions**, **Jenkins**, **GitLab CI / CD** or **Azure DevOps**).
• Own and evolve the **observability** and **AIOps stack**, driving intelligent automation and predictive alerting capabilities.
• Maintain high-quality **documentation**, **playbooks**, and **operational standards** across environments.
• Ensure **operational compliance** and **security alignment** with internal controls and regulatory standards.
• Analyze **system performance**, **availability**, and **cost data** to continually optimize operations.
• Provide **reliability support** and escalation guidance for critical production systems during major incidents.

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.