
Open since Aug 2026
Lead Engineer - DevOps
AI Summary
Lead DevOps engineer owning Azure deployment strategies, CI/CD pipelines, containerized microservices on AKS, cloud cost and performance optimization, observability, and DevSecOps practices for a life sciences validation platform.
About this role
Requirements:
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7+ years of hands-on experience in development or operations (developing, implementing and optimizing DevOps processes and practices) on Azure
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Must have 3+ years of experience of owning deployment of microservicesarchitectures based solutions on AzureCloud Serviceswith experience in AKS, ASB, App Services, App Insights etc
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Must have 3+ years of experience in Azure, GitHub, Azure DevOps, GitHub Actions, Linux shell script and python
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Strong experience in implementing and managing containers and orchestration (Docker, Kubernetes)on Azure
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Good Knowledge on Grafana, Prometheus, Loki and similar tools to develop, implement and automate monitoring and logging
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Excellent interpersonal skills
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Azure DevOps or Cloud Certification is a great plus
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Exposure/experience with MLOps and/or LLMOps on Azure is a great plus
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Familiarity with AI, ML, GenAI concepts is a great plus
Responsibilities:
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Responsible for creating, optimizing and implementing DevOps and deployment strategies partnering with engineering teams
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Responsible for maintaining and updating CI/CD pipelines
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Responsible for monitoring and optimizing cloud resources to enhance performance and cost-efficiency
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Responsible and accountable to handle critical support and deployment requests, collaborating with multiple other teams such as IT, SaaS, and test teams for effective resolutions
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Responsible for creating and implementing deployment strategies for various deployment scenarios, minimizing deployment risk, downtime, and user impact
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Own and drive the evaluation and adoption of Azure cloud tools and technologies
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Own and be accountable for the Performance, Scalability, Reliability and Sustainability of cloud deployments.
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Set up robust observability (logging, metrics, and tracing) and embed DevSecOps practices into the development lifecycle
Skills
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