Job Description
About the Role :
Join the JLL Smart Building Platform team as a Senior DevOps Engineer, where you’ll architect, automate, and secure cloud infrastructure supporting our IoT, data, and emerging AI agent solutions. Youll drive infrastructure as code, CI/CD, cost optimization, automation, and security best practices, while mentoring and elevating the team’s capabilities.
Responsibilities :
– Design, implement, and manage AWS infrastructure (EC2, EKS, Lambda, AWS Batch, IoT Core, Aurora, S3, Kafka), with some support for Azure-based legacy or frontend resources.
– Build scalable, secure environments for agentic AI and multi-agent workloads on AWS/Azure Cloud, supporting new intelligent automation development.
– Develop and maintain infrastructure as code with Terraform and Terraform Cloud.
– Design and enhance CI/CD pipelines using GitHub Actions, ArgoCD, JFrog, and Octopus.
– Support and optimize data pipelines and microservices, including NiFi on Kubernetes.
– Lead and support automation initiatives to improve team efficiency, resolve bottlenecks, and elevate product quality.
– Monitor and optimize cloud usage and costs, recommending improvements for efficiency and budget effectiveness.
– Identify and remediate vulnerabilities and champion a security-first DevOps culture.
– Create and maintain architectural documentation; take ownership of or lead documentation for relevant systems/infrastructure.
– Guide and mentor team members on cloud, security, automation, and operational best practices.
Requirements :
– Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
– 6+ years in DevOps, Cloud, or Site Reliability Engineering in a high-scale high-complexity environment.
– Advanced AWS experience (EKS, EC2, Lambda, AWS Batch, Aurora, S3, Kafka); Azure experience is a plus.
– Proficiency with Terraform and Terraform Cloud.
– Strong experience automating CI/CD pipelines (GitHub Actions, ArgoCD).
– Solid Kubernetes expertise (preferably EKS).
– Scripting skills with Python or similar language.
– Experience supporting agentic AI or multi-agent systems in cloud environments is a strong plus.
– Experience with NiFi, microservices, and data pipeline orchestration is a strong plus.
– Proven experience with cost monitoring/optimization in cloud.
– Security-aware with a hands-on approach to detection and mitigation of vulnerabilities.
– Strong skills in architecture documentation and leading design discussions.
– Track record of driving automation for operational and product quality improvement.
– Excellent communication and mentoring skills.
Are you interested in this position?
Apply by clicking on the āApply Nowā button below!
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