Lead Engineer - DevOps
at Valgenesis
Chennai, onsite, senior, full time, 7+ years
seen 54d ago
- Azure
- Loki
- GitHub
- Linux shell script
- Prometheus
- AKS
- App Insights
- Grafana
- ASB
- GitHub Actions
- Docker
- App Services
- Azure DevOps
- Python
- Kubernetes
About the role
ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle.
What you would do
* Responsible for creating, optimizing and implementing DevOps and deployment strategies partnering with engineering teams * Responsible for maintaining and updating CI/CD pipelines * Responsible for monitoring and optimizing cloud resources to enhance performance and cost-efficiency * 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 * Responsible for creating and implementing deployment strategies for various deployment scenarios, minimizing deployment risk, downtime, and user impact * Own and drive the evaluation and adoption of Azure cloud tools and technologies * Own and be accountable for the Performance, Scalability, Reliability and Sustainability of cloud deployments. * Set up robust observability (logging, metrics, and tracing) and embed DevSecOps practices into the development lifecycle
What they are looking for
* 7+ years of hands-on experience in development or operations (developing, implementing and optimizing DevOps processes and practices) on Azure * Must have 3+ years of experience of owning deployment of microservices architectures based solutions on Azure Cloud Services with experience in AKS, ASB, App Services, App Insights etc * Must have 3+ years of experience in Azure, GitHub, Azure DevOps, GitHub Actions, Linux shell script and python * Strong experience in implementing and managing containers and orchestration (Docker, Kubernetes) on Azure * Good Knowledge on Grafana, Prometheus, Loki and similar tools to develop, implement and automate monitoring and logging * Excellent interpersonal skills * Azure DevOps or Cloud Certification is a great plus * Exposure/experience with MLOps and/or LLMOps on Azure is a great plus * Familiarity with AI, ML, GenAI concepts is a great plus
Read from jobs.lever.co, last seen 4d ago.