Job Responsibilities

• Automation of build, test, & deployment pipelines by orchestrating automated deployment processes for backend services and conducting reviews to make sure your work is well-designed, elegantly coded, and effectively tuned, and assess the overall quality of delivered components.
• Implementing, deploying, and maintaining high availability systems, with features such as auto-scaling, load balancing, data backup, and restoration, etc by the installation of alert and monitoring to services and infrastructure for data and system integrity, health and security
• Administration and maintenance of database servers including log management
• Implementation & analysis of key performance indicators at both the application and infrastructure levels.
• Collaborating with team on technical considerations & feasibility of features.
• Drive changes in the product to promote stability, security, performance, and modularity.
• Ensure adoption of new and standard technologies through research and implementation
• Automate the provisioning of environments using tools like Ansible or containers like Docker using Hybrid infrastructure
• Share knowledge across various teams to Influence the team members and broader engineering groups in adopting DevOps best practices
• Troubleshoot problems, involving the appropriate resources and driving resolution of issues with focus on minimizing impact on running applications.

Qualifications (Requirements marked in bold required)

• BE/BTech/MCA/ME/MTech
• Minimum of 2 years of production environment engineering, configuration management, release engineering
• Hands-on experiences with AWS/Google Cloud etc.
• Strong Linux experience - Containerization experience using Docker, Kubernetes, or similar
• Scripting experience with Shell, Python, or similar . Ruby and Python preferred
• Excellent understanding of technical architecture and design, theories, and best practices in a broad range of deployment, management, and operating scalable, highly available, and fault-tolerant systems on AWS, or similar
• Familiarity with tools such as Elastic Search, Splunk.
• Experience with Security policies to include LDAP and IAM
• Experience administering big data frameworks, such as Hadoop etc.
• Delivered solutions using agile methodology

Important:

Should be able to appear for personal interview in our office at Navi Mumbai. Do not apply if you can not appear for personal interview. No telephone round will be conducted.