Associate Engineer, Site Reliability (SRE)

About the position

As an Associate Software Engineer in the SRE, DevOps & AI/ML Observability team, you will be responsible for implementing and optimizing automation, monitoring, and deployment pipelines. Additionally, you will contribute to AI-driven observability initiatives to enhance predictive monitoring and anomaly detection. You will collaborate with cross-functional teams to optimize system performance using AI/ML models, troubleshoot system issues, and improve operational insights in a cloud-native environment. This role provides an excellent opportunity to develop expertise in AI-driven observability, cloud operations, and modern DevOps practices.

Responsibilities

• Build and maintain automated deployment pipelines using GitHub Actions, Jenkins, and Terraform to streamline software delivery.
• Implement and enhance monitoring solutions using AI/ML-driven techniques with Prometheus, Grafana, Splunk, and other analytics tools.
• Support and optimize Kubernetes-based microservices running on Azure or AWS cloud platforms, ensuring AI/ML workloads run efficiently.
• Develop and apply AI/ML models for trend analysis, anomaly detection, and predictive monitoring to proactively address reliability issues.
• Participate in on-call rotations to monitor system health and resolve incidents using automation and AI-driven observability tools.
• Assist in implementing security best practices within CI/CD pipelines and AI models, ensuring compliance with organizational policies.

Requirements

• 2+ years' experience in software engineering, preferably DevOps or SRE or AI/ML.
• 2+ years' proficiency with CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI/CD.
• 2+ years' familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
• Experience with monitoring and AI-powered Tool & Frameworks.
• Proficiency in programming and machine learning skills. Preferably in Java, Spring Boot, React, Python, etc.