DevOps
2 weeks ago
Place of employment**:Navi Mumbai, India.**
Employment type**:Full-time**.
**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
- 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
**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**:
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