Required Qualifications
Bachelor's degree in computer science, Engineering, Information Technology, or related discipline. Master's degree preferred.
6+ years of experience in SRE, Platform Engineering, DevOps, Infrastructure Engineering, Cloud Operations, or Production Support.
Hands-on experience building and operating large-scale cloud-native platforms across multiple environments.
Solid expertise in SRE principles including incident management, reliability engineering, observability, automation, and operational excellence.
Experience with Kubernetes, container orchestration, distributed systems, and cloud-native architectures.
Solid experience with Infrastructure-as-Code, CI/CD, automation, and platform provisioning.
Experience implementing monitoring, logging, tracing, alerting, and observability platforms.
Strong knowledge of high availability, disaster recovery, scalability, performance engineering, capacity planning, and fault tolerance.
Experience implementing enterprise security controls including IAM, RBAC, encryption, secrets management, and compliance requirements.
Hands-on experience with AWS, Azure, and/or GCP.
Strong scripting and automation skills using Python, Bash, PowerShell, Go,



or equivalent.
Experience operating GenAI, LLM, RAG, MLOps, or AI platform workloads in production environments.
Robust stakeholder management, leadership, and cross-functional collaboration skills.

Preferred Qualifications
Experience leading enterprise-scale SRE and Platform Engineering initiatives.
Experience designing and operating multi-region, highly available distributed systems.
Expertise in Kubernetes platform operations and cloud platform engineering.
Experience implementing GitOps, self-service platforms, developer platforms, and automation frameworks.
Strong expertise in platform observability, reliability optimisation, and operational governance.
Experience managing cloud cost optimisation and FinOps programmes.
Experience with Kafka, Spark, streaming, and event-driven architectures.
Experience supporting GenAI, LLM, RAG, Agentic AI, MLOps, or LLMOps platforms.
Experience mentoring SRE, Platform Engineering, and DevOps teams.
Experience working in regulated industries such as Healthcare, Banking, Financial Services, or Insurance.

📌 Senior Azure Devops Engineer Bengaluru (India)
🏢 Fractal Analytics
📍 India