Job Summary
Synechron seeks an experienced AI Agentic Operations Site Reliability Engineer (SRE) to design, deploy, and operate scalable AI-enabled systems and agentic workflows. This role blends hands-on AI/ML deployment with traditional SRE disciplines to deliver reliable, secure, and cost-effective platforms. The ideal candidate will lead cross-functional teams, drive automation and observability for AI-driven solutions, and uphold governance and security standards in line with enterprise requirements.

Software Requirements

Required Skills (Essential)
Experience deploying and operating AI/ML solutions, including agentic AI workflows and large-scale model deployments
Proficiency in Python for automation, data processing, and orchestration; familiarity with other languages as needed
Robust cloud experience (AWS, Azure, or GCP) with practical knowledge of security, IAM, networking, and cost optimization
Experience with containerization and orchestration (Docker, Kubernetes)
Proficiency with CI/CD pipelines and infrastructure as code (e.g., Jenkins, GitHub Actions,



GitLab CI; Terraform as preferred)
Robust observability and monitoring capabilities (Prometheus, Grafana, CloudWatch/Stackdriver)
SRE practices: incident response, post-incident reviews, capacity planning, reliability engineering
Proficiency in version control systems (Git) and collaboration tools (GitHub, GitLab, Bitbucket)
Security and governance awareness, including data privacy and risk management

Preferred Skills
Experience with MLOps tooling, model monitoring, and bias/safety considerations
Familiarity with multi-cloud strategies (AWS/Azure/GCP)
Experience with serverless architectures and cloud-native services
Knowledge of data governance, data lineage, and regulatory compliance (e.g., GDPR/CCPA)

Overall Responsibilities
Design, implement, and operate scalable AI-enabled platforms and agentic workflows with a focus on reliability and performance
Drive automation, ob

📌 Genai/ml Ops Sre Python Bengaluru
🏢 Synechron
📍 Bengaluru