Senior Site Reliability Engineer

Overview

Senior Site Reliability Engineer within JLL Technologies COE, responsible for reliable, scalable infrastructure and deployment pipelines across multiple AWS Cloud accounts, with a focus on SRE principles and AI-enhanced operations.

What you'll do

• Act as a resource for less experienced colleagues in troubleshooting and reliability best practices, and deliver knowledge-sharing sessions on incident response, system design and AI-enhanced operational practices.
• Lead medium projects with manageable risks and guide team members on operational procedures.
• Design complex infrastructure items following Infrastructure as Code best practices using Terraform, Docker, Kubernetes and scripting languages, and evaluate others' designs with constructive feedback.
• Integrate AI and machine learning capabilities into infrastructure solutions and apply AI-assisted diagnostics to accelerate incident resolution.
• Establish and monitor SLOs, SLIs and error budgets to measure and improve system reliability and performance.
• Design and implement monitoring, alerting, logging and observability solutions using AI/ML for proactive issue identification and anomaly detection.
• Lead incident response efforts, conduct blameless post-mortems and implement preventive measures to reduce MTTR.
• Collaborate with development, operations, product, data engineering and business teams to translate business continuity needs into technical reliability requirements.
• Work with development teams to integrate SRE best practices including toil reduction, capacity planning and chaos engineering.
• Partner with data science teams to understand and operationalize ML model reliability requirements.
• Develop and maintain runbooks, documentation and knowledge bases to support operational excellence.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Data Science or a related field (or equivalent experience).
• 5+ years of experience working in DevOps or Site Reliability Engineering roles.
• Proven experience troubleshooting complex infrastructure issues and leading incident response.
• Demonstrated experience integrating AI/ML capabilities into operational workflows.
• Strong proficiency in Terraform and Infrastructure as Code principles.
• Extensive experience with Amazon Web Services (AWS), including EC2, VPC, S3, IAM, CloudWatch, CloudFormation, and familiarity with SageMaker.
• In-depth knowledge of RDS and its database engines (e.g., MySQL, PostgreSQL, Oracle) for provisioning, management and performance optimization.
• Solid understanding of Kubernetes for container orchestration, management and resilience patterns.
• Expertise in monitoring AND automation, or specialist in one area with AI integration capabilities.
• Hands-on experience with Agentic frameworks and tools (e.g., Langgraph, Langchain and OpenAI).
• Experience implementing AI-powered monitoring and observability solutions for anomaly detection and predictive alerting.
• Understanding of AIOps practices and platforms for operational intelligence.
• Proficiency in using AI for log analysis, pattern recognition and automated diagnostics.
• Knowledge of machine learning techniques for capacity planning and performance forecasting.
• Familiarity with MLOps concepts for reliable model deployment and monitoring.
• Experience with AI-powered automation tools and intelligent alerting systems.
• Familiarity with application security best practices, tools and compliance frameworks, and understanding of DevSecOps practices.
• Experience with GitHub Actions and Jenkins or similar tools for workflow automation and CI/CD, and Argo CD.

Nice to have

• Experience with cloud-native operational practices and multi-cloud environments.
• Track record of contributing to enterprise-wide reusable reliability solutions.
• Familiarity with AI-powered chatbots or virtual assistants for incident management.

Details

• Location: On-site, Bengaluru, KA.
• Scheduled weekly hours: 40.
• Aligned to JLL's P3 Senior Site Reliability Engineer level.