Live opening · Posted 1 day ago

DevOps Engineer (Application Deployment & Configuration - K8S)

ETAS · bangalore, , India
Smartrecruiters No Full-time
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyETAS
Locationbangalore, , India
Job typeFull-time
Work modeNo
SkillsKubernetes, Python, Java, PostgreSQL, MongoDB, Elasticsearch
SourceSmartrecruiters
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Roles & Responsibilities :
Analyze existing automated deployment standards, process and/or governance to identity and implement improvements.
Coordinate and responsible for the evaluation and preparation for software deployments (Tools, Connectives, Access, Dependencies and released packages) based on deployment guidelines.
Provide the automated deployment for manufacturing applications in Kubernetes (K8S) environment with all necessary components such as App relation services (Kafka, Solace, …), Database (Oracle, Mongo, PostgreSQL…).
Responsible for deployment manufacturing applications to Quality and Production environments. Ensure no impact to Manufacturing business and processes while apply/implement change.
Apply DevOps and/or GitOps solutions and best-practices to automate and improve release process, template, and pipeline toward to Industrialized rollout standards.
Develop comprehensive documentation, support instructions, and handover materials for other teams.
Close collaboration within worldwide distributed teams, e.g., Germany, India, Vietnam.
Key Accountabilities
End-to-end deployment ownership for manufacturing applications.
Deployment automation and pipeline optimization.
Release readiness validation and deployment governance.
Production stability and business continuity during releases.
Global stakeholder coordination and knowledge management.
Continuous improvement of DevOps/GitOps deployment practices.
Educational qualification:
BE/B.Tech/M.Tech/MCA
Experience & Mandatory/requires Skills : :
Having minimum 3+ years of relevant, hands-on experience as DevOps or experience deployment and operation in Kubernetes (K8S) environment of medium to large scale enterprise Platform, Databases, and application systems.
Experience with Software Development Lifecycle – SDLC including development, packaging, releasing and deployment for containerization or non-containerization application.
Experience with API (REST and gRPC), distributed system, database as well as enterprise level systems (ERP).
Familiarity with DevOps and GitOps practices (CI/CD/Cx/…) for automated rollout and processes as well as deployment concept on K8S (Blue-Green, Canary, A/B…)
Well versed in one of the languages (Python, Java, Go).
Familiarity with MongoDB and Elasticsearch for effective data management.
Ability to create comprehensive documentation and facilitate efficient knowledge transfer.
Ability to deal with complex enterprise system environments and challenges, analyze problems and problem-solving.
Concept of Agile, HA, Resiliency, Scalability.
ITIL, Operational requirements and Support.

Employment type
Full-time

Work arrangement
No

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