Senior Azure Devops Engineer

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.
• Strong 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.
• Strong 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.
• Strong 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.