Site Reliability Engineer III

About This Role

This role involves enhancing intelligent and resilient platform operations for a global financial institution by integrating traditional support with modern Site Reliability Engineering (SRE) principles, utilizing agentic AI. The Site Reliability Engineer will drive innovation within the CORPORATE SECTOR, ENTERPRISE TECHNOLOGY team.

Responsibilities

• Advocate and embody site reliability principles, fostering a culture of excellence and technical influence within your team
• Leverage AI tools to enhance operational effectiveness and automate processes, ensuring high-quality customer service
• Spearhead projects aimed at enhancing the reliability and stability of applications and platforms
• Utilize data-driven analytics and AI technologies to automate detection, diagnosis, resolution processes, elevate service levels and drive continuous improvement
• Engage stakeholders to establish realistic service level objectives and error budgets, ensuring alignment with customer expectations
• Exhibit technical proficiency in one or more domains, proactively addressing technology-related bottlenecks
• Employ AI-driven solutions to streamline processes and enhance operational efficiency
• Participate in troubleshooting during incidents, demonstrating the ability to swiftly identify and resolve issues to prevent financial losses
• Act as a culture carrier by documenting learnings and disseminating knowledge through internal forums and communities of practice
• Mentor team members, guiding them in the strategic adoption of AI technologies to enhance operational effectiveness and customer service

Requirements

• Formal training or certification on site reliability engineering concepts
• 2+ years applied experience in resiliency, scalability, performance and security
• Proven success in an SRE or DevOps role, with knowledge of SLIs/SLOs, incident management, blameless postmortem analysis, and systems reliability
• Expert with observability stacks (e.g., Prometheus, Grafana, Splunk, OpenTelemetry)
• Deep experience correlating telemetry across services and time
• Hands-on skills in coding (at least one high-level programming language)
• Hands-on skills in cloud platforms (AWS or GCP)
• Hands-on skills in container orchestration (Kubernetes)
• Hands-on skills in infrastructure as code (Terraform)
• Hands-on skills in resilient CI/CD pipelines
• Active experience or deep curiosity in applying AI to operations—such as LLM-based copilots, anomaly detection, automated runbooks, autonomous agents (e.g. CrewAI, LangGraph), or Retrieval-Augmented Generation (RAG) workflows for support
• A track record of delivering under pressure
• Ability to deconstruct complexity, organize effectively, and drive clarity into ambiguous operational environments
• Outstanding communication, empathy, and professionalism

Qualifications

• 2+ years applied experience in resiliency, scalability, performance and security or proven success in an SRE or DevOps role

Nice to Have

• Experience with operational and compliance rigor in banking, fintech, or similar
• Practical use of LLM frameworks (e.g. LangChain, Semantic Kernel), AI orchestration tools, vector databases, or custom agents supporting reliability workflows
• Experience with game days, chaos experiments, or failure-mode analysis to improve service robustness
• A background in mentoring engineers or leading technical knowledge-sharing, especially around AI and SRE best practices

Skills

* Required skills

Benefits