Platform Site Reliability Engineer

Site Reliability Engineer (Sre)

Key Responsibilities

• **Resiliency Engineering (SRE):** Implement "Chaos Engineering" and load testing to ensure web/mobile backends can handle banking-scale traffic. Maintain high availability through automated recovery scripts.
• **Automated Regression:** Build CI/CD-integrated test suites using **Python** that validate both the application logic and the infrastructure state (IaC validation).
• **Observability & SLIs:** Define and monitor Service Level Indicators (SLIs) and Objectives (SLOs). Set up advanced alerting in Azure Monitor or AWS CloudWatch to catch performance degradation before users do.
• **Security & Compliance Testing:** Automate security scans and compliance checks to ensure all AI data handling meets strict banking data residency and privacy protocols.

Technical & Professional Requirements

• **Automation Stack:** High proficiency in **Python** (for AI testing) and framework automation (PyTest, Selenium, or Robot Framework).
• **Cloud Infrastructure:** Strong hands-on experience with **Azure** or **AWS**, specifically regarding networking, scaling, and serverless reliability.
• **AI/ML Understanding:** Understanding of Prompt Engineering and how to evaluate AI model outputs (RAG evaluation, ROUGE/BLEU scores, or custom LLM-benchmarks).
• **Monitoring Tools:** Experience with Grafana, Prometheus, or native cloud monitoring tools to build real-time reliability dashboards.
• **FinOps Awareness:** Ability to identify "expensive" failing tests or inefficient cloud resource usage during the testing phase.

Recommended Skillset & Tools

• **Languages:** Python (Mandatory), Bash scripting.
• **Tools:** GitHub Actions (CI/CD), Terraform (reading/validating), K6 or JMeter (Performance).
• **AI Frameworks:** DeepEval, Ragas, or LangSmith (for automated AI evaluation).