Senior Site Reliability Engineer

JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

Senior Site Reliability EngineerJLL Technologies COE

What this job involves: About the role#JLLTechAmbitions

We are seeking a skilled and experienced Senior Site Reliability Engineer to join our dynamic team. As a Senior SRE, you will be responsible for leading the implementation and maintenance of reliable, scalable infrastructure and deployment pipelines using Terraform and Infrastructure as Code practices across multiple AWS Cloud accounts. You will play a critical role in ensuring the efficiency, reliability, observability, and scalability of our systems while fostering a culture of collaboration, automation, and continuous improvement through SRE principles. This role requires understanding of how your area integrates with development teams and the ability to translate business continuity needs into technical reliability requirements, leveraging Agentic AI capabilities to enhance operational excellence.

Responsibilities: Technical Leadership & Mentorship:
Act as resource for less experienced colleagues in troubleshooting and reliability best practices.

Act as informal coach 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.

Provide technical guidance on reliability engineering principles and AI/ML integration opportunities.

Share expertise in automation, monitoring, and AI-driven operational improvements with team members.

AI-Enhanced System Design & Implementation:
Design independently for complex infrastructure items following Infrastructure as Code (IaC) best practices using Terraform, Docker, Kubernetes, and various scripting languages.

Evaluate others' designs using reliability engineering methodologies and provide constructive feedback.

Consider scalability, maintenance, and operational experience in all design decisions.

Integrate AI and machine learning capabilities into infrastructure solutions for improved reliability and efficiency.

Lead incident response processes and apply AI-assisted diagnostics to accelerate resolution.

Design monitoring solutions that leverage AI for anomaly detection and predictive alerting.

Implement intelligent automation using AI-driven decision support for routine operational tasks.

Reliability Engineering & Operational Excellence:
Establish and monitor Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to measure and improve system reliability and performance.

Design and implement comprehensive monitoring, alerting, logging, and observability solutions using AI/ML for proactive issue identification and automated anomaly detection.

Lead incident response efforts, conduct blameless post-mortems, and implement preventive measures to reduce Mean Time to Recovery (MTTR).

Solve medium to high complexity infrastructure problems using technical experience, judgment from multiple sources, and AI-powered analytics.

Take new perspectives on existing reliability solutions and identify opportunities for AI enhancement.

Apply AI for log analysis, pattern recognition, and root cause analysis to improve incident resolution speed.

Implement basic AIOps practices to enhance operational intelligence.

Cross-Functional Collaboration:
Collaborate with development, operations, product, data engineering, and business teams to understand requirements and implement reliability standards.

Translate business continuity needs into technical reliability requirements.

Apply domain expertise using AI-driven monitoring and automation to solve operational challenges.

Work closely 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.

Drive adoption of AI-enhanced DevOps practices within immediate operational teams.

Knowledge Management & Innovation:
Develop and maintain runbooks, documentation, and knowledge bases to support operational excellence.

Stay current with the latest trends, tools, and technologies in SRE, DevOps and AIOps fields.

Contribute to improving system reliability and enterprise operational efficiency within established frameworks.

Actively contribute towards enterprise-wide reusable reliability solutions incorporating AI capabilities.

Experiment with AI-powered tools for automation, monitoring, and documentation generation.

Share learnings about AI/ML applications in DevOps with the broader team.

Sounds like you? To apply, you need to be: Required Qualifications: Education & Experience:

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 in troubleshooting complex infrastructure issues and leading incident response.

Demonstrated experience integrating AI/ML capabilities into operational workflows.

Technical Expertise:
Strong proficiency in Terraform and Infrastructure as Code principles for infrastructure provisioning and management.

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 various database engines (e.g., MySQL, PostgreSQL, Oracle) for database 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.

AIOps Expertise:
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.

Continuous Learning:
Continuous learner with passion for staying updated with SRE principles, reliability patterns, DevOps trends, and

Proactive in exploring new AI technologies and their applications in DevOps and SRE.

Security & Compliance:
Familiarity with application security best practices, tools, and compliance frameworks.

Understanding of DevSecOps practices and AI-powered security monitoring

CI/CD & Workflow Automation:
Experience with GitHub Actions andJenkins or similar tools for workflow automation and CI/CD.

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Additional Experience:
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.

What we can do for you: At JLL, we make sure that you become the best version of yourself by helping you realize your full potential in a fully entrepreneurial and inclusive work environment. If you harbor passion for learning and adapting new technologies, including AI and machine learning, JLL will continuously provide you with platforms to enrich your technical domains. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package.

This role aligns with JLL's P3 Senior Site Reliability Engineer level, offering opportunities to design complex infrastructure solutions, lead incident response processes, integrate AI/ML capabilities into DevOps practices, and act as a technical resource and mentor while contributing to operational excellence through intelligent automation.

Apply today!

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.

About JLL –

We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.

Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.

Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.