DevOps Engineer (Mid-Senior level)

Machine Learning (ML) Engineer
Posted 1 year ago

No of Vacancy- (01)
Job Responsibilities:
• Experience in production-grade DevOps engineering
• Design, build, and automate new solutions centered around the Kubernetes container
• Utilize DevOps technologies for efficient continuous integration, deployment and delivery
employing best-in-class monitoring and self-healing techniques
• Writing scripts to develop, maintain, improve services for delivering cutting-edge Dev/Ops
functionality/infrastructure/environment that enables our engineers to build, release, and operate
their software development projects
• Collaborate with our networking, infrastructure, and deployment teams in deploying, maintaining
and administering software infrastructure
• SQL, Relational DB (MySQL, Oracle, etc.) & Non-relational DB Knowledge (MongoDB,
• Building and maintaining continuous integration systems in Jenkins
• Developing internal tools and workflows for large development teams
• Systems integration with third party and in-house systems
• Working experience of different K8s tools like helm, dashboard etc.
• Proven work experience with Docker, Docker Swarm, and Docker compose
• Strong understanding about Microservice Architecture and Microservice deployments
• Strong background in Linux/Unix Administration with OS and hardware-level optimizations
• Working knowledge of automation tools (Jenkins/Ansible/Puppet/Chef/Salt/etc.)
• Strong understanding in code repository systems such as Gitlab, Bitbucket, and Git workflows
• Monitoring in EFK, ELK, Kubernetes health and KPIs and maintaining production-grade SLA for
standard IT Operation
• Strong communication skill with different project developers and all users of the k8s cluster
• Experience of using GCP, Azure, and AWS for managing k8 cluster
• Collaborating with teams consisting of experienced engineers to perform full life cycle application
and infrastructure process development
• Awareness of the software delivery lifecycle strategic roadmaps that enable the success of
quarterly objectives. This includes defining User Stories to enable the build-out of the strategic
• Proposing and implementing new software delivery pipeline process steps and ensure that all
software components take advantage of new capabilities
• Performing code reviews for team deliverables. Ensuring code follows documented standards
and best practices
• Building open communication with Product Owners, Software QA Engineers, Software Engineers,
Project Managers to understand and transform software engineering and IT process
requirements into automated features
• This job requires 24/7 on-demand support (if & when required)
• Any other tasks as assigned by Management
Employment Status:
Educational Requirements:
• B.Sc in Computer Science & Engineering or in any relevant discipline
Additional Requirements:
The applicants should have experience in the following area(s):
• Python, Bash, Powershell.
• Docker, Kubernetes, Ansible, Terraform, Jenkins, Helm, Dashboard.
• Linux and Windows servers.
Experience Requirements:
• At least 5 – 7 year(s) of relevant industry experience including project management or systems
analysis or equivalent combination of education, training and experience
Job Location
Other Benefits
• Festival Bonus: 2
• Mobile Allowance
• Scope for Professional Development & Career Growth
• Health Insurance
• Performance Bonus
• Friendly Work Environment
• Other perks as per Company Policy

Send CVs to:
Application Deadline: 30 September, 2021

Job Features

Job CategoryMachine Learning (ML) Engineer

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