Cloud engineer
2 weeks ago
at Ivanti, Bangalore, India (Bagmane),
Position Summary:
We are seeking a skilled development engineer with strong expertise Cloud, Python, Kubernetes, Postgre SQL, Redis and Elasticsearch. The ideal candidate will have hands-on experience designing, implementing, and maintaining scalable cloud infrastructures in public clouds like Azure, AWS, GCP, along with a deep understanding of performance optimization and troubleshooting. The role demands a high level of proficiency in managing containers and microservices using Kubernetes, developing microservices with Python, and handling large-scale databases in Postgre SQL, Elasticsearch. Expertise in handling high scale analytic data processing.
Key Responsibilities:
Design, develop, and maintain scalable cloud infrastructures in public clouds like Azure, AWS, GCP.
Deploy, manage, and troubleshoot containerized applications using Kubernetes.
Design and optimize Postgre SQL databases for high performance, reliability, and scalability.
Implement Elasticsearch clusters for processing large scale data processing
Monitor cloud systems and address any scaling and performance issues proactively.
Collaborate with cross-functional teams to architect and improve system performance and capacity.
Develop solutions for disaster recovery, high availability, Resiliency and data redundancy.
Apply best practices in security, governance, and compliance for cloud environments.
Qualifications:
Bachelor's or Master’s degree in Computer Science or Equivalent
Strong proficiency in Python, SQL databases like Postgres, Elastic Search, Kafka
8+ years of experience working with Cloud Technologies
Experience with microservices architecture and cloud-native application development.
Experience deploying and managing Kubernetes clusters in production.
Expertise in Postgre SQL database management, including optimization and scaling.
Familiarity with Elasticsearch for implementing distributed search and analytics solutions.
Proven ability to solve scale & performance problems and optimize cloud-based systems.
Knowledge of Public Cloud Services like AWS, GCP, Azure
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
Familiarity with Terraform, Ansible, or other Infrastructure as Code (Ia C) tools is a plus.
Strong analytical skills and the ability to troubleshoot complex cloud infrastructure issues.
Excellent communication skills and ability to work collaboratively in a team environment.
Work with larger Architecture/Product Management team to define and design a solution and implement
Work with Customer to debug, root cause and fix.
Preferred Skills:
Knowledge of performance tuning and troubleshooting at scale in cloud environments.
Experience with scaling applications in distributed cloud environments.
Collaborate with Dev Ops teams to ensure CI/CD pipelines are efficient and reliable.
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