58 Job openings found

1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
7.00 LPA TO 8.00 LPA
Position: Permanent Role: Devops Engineer Experience: 1 - 2 years Skills We Are Looking For: Must have skills:1. Expertise in Kubernetes.2. Expertise in Docker.3. Proficiency in Bash scripting. Good to have:4. Experience in managing Kubernetes cloud and bare metal clusters.5. Linux Administration - Well versed with IP chains, Linux Security, VM setup on local and ...
2 Opening(s)
3.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
DevOps EngineerExp: 2+ years of relevant professional experience, or a demonstrated track record of relevantachievement and skill knowledgeLocation: Gurgaon or India based remoteMust have technology knowledge? Puppet & Chef? Jenkins / Jenkins Pipelines? Helm Charts? AWS CDK? Terraform? Kubernetes? Opsgenie? Linux administrationGood to have Technology knowledge:? Envoy? Wireguard? Cassandra? Jaeger? ...
5 Opening(s)
5.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
Tasks/Duties: Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations. Responsible for implementing, automating, deploying, monitoring, troubleshooting and administering our application's infrastructure & designing Databases. The candidate will take responsibility for the availability, performance, infrastructure security and scalability of our applications. Ability to translate business requirements into ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Role Overview We are seeking an experienced Senior DevOps Engineer to design, implement, and manage scalable cloud infrastructure and deployment pipelines. The ideal candidate will have strong expertise in AWS, CI/CD automation, infrastructure as code, containerization, and monitoring, with a focus on system reliability, security, and automation. Key Responsibilities Design, build, and manage ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 11.00 LPA
  Role Overview:As a DevOps Engineer, you will lead and support the migration of our infrastructure toKubernetes across cloud and local environments while designing, building, and maintaining ourGoogle Cloud, Oracle Cloud, and on-premise infrastructure. You will collaborate closely withengineering, product, and QA teams to ensure reliable deployments, high availability, strongsecurity controls, ...
1 Opening(s)
4.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities: Collaboration: Work closely with developers, system administrators, and otherstakeholders to integrate and streamline development and operational processes. Automation: Design, implement, and maintain continuous integration and continuousdeployment (CI/CD) pipelines. Infrastructure Management: Manage infrastructure using tools like Terraform,Ansible, or Puppet, ensuring automated and efficient provisioning, configuration, andscaling. Cloud Services: Leverage ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
10.00 LPA TO 12.00 LPA
Roles and responsibilities:● Expected to perform independently and become an SME.● Required active participation/contribution in team discussions.● Contribute in providing solutions to work-related problems.● Collaborate with cross-functional teams to drive efficiency and innovation.● Implement and maintain CI/CD pipelines for continuous integration and delivery.● Build and set up new development tools ...
3 Opening(s)
2.0 Year(s) To 5.0 Year(s)
5.00 LPA TO 6.00 LPA
Responsibilities Implement integrations requested by customers Deploy updates and fixes Provide Level 2 technical support Build tools to reduce occurrences of errors and improve customer experience Develop software to integrate with internal back-end systems Perform root cause analysis for production errors Investigate and resolve technical issues Develop scripts to automate visualization Design procedures for system troubleshooting and maintenance   Requirements and ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 18.00 LPA
Responsibilities: Production pipeline development/deployment. DevOps tools. Automation/Orchestration. Release management. Model Testing. Environment Security. Performance Testing. Data governance. Design the data pipelines and engineering infrastructure Take offline models data scientists to build and turn them into a real machine learning production system. Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's machine learning systems. Apply software engineering ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Job Description – Level 2 Engineer  Azure Eligibility Criteria:  Should have worked as a Level 2 Azure engineer for at least 3 years. Should have at least 4-5 years of total working experience Should be a Graduate or Above Should have extensive working knowledge of MS Fabric, Synapse, Communication Services & IOT - Internet Of Things. Should ...

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