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Software Engineer Devops

bebo Technologies · Chandigarh

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Last observed by our collector: . This is not a manual review or a confirmation from the employer.

Employer requisition: MLyGyVVV

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Collected role description

​bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions. Our goal is to 'Deliver in time-every time'.​ For more details visit our website: www.bebotechnologies.com​ Let's have a 360 tour of our bebo premises by clicking on below link: https://www.youtube.com/watch?v=S1Bgm07dPmMKey Job Responsibilities: Design, build, and maintain CI/CD pipelines for automated build, test, and deployment workflows Manage cloud infrastructure (AWS/Azure/GCP) with scalability, cost optimization, and reliability focus Implement Infrastructure as Code (IaC) using tools like Terraform/CloudFormation/Ansible Deploy and manage containerized workloads (Docker + Kubernetes) in production environments Ensure high availability, performance, and system reliability (SRE practices) Automate environment provisioning, configuration, and release management Monitor systems using observability tools (logs, metrics, tracing) and handle incidents Perform root cause analysis (RCA) and resolve production issues Implement DevSecOps practices (security in pipeline, vulnerability scanning, compliance) Collaborate with developers, QA, and infra teams to optimize release cycles Job Requirements: Understand and analyze client requirements, participate in client discussions/calls, and provide appropriate technical solutions Conduct client meetings, provide status updates, and ensure alignment between business requirements and technical implementation Design, build, and maintain scalable CI/CD pipelines for application and AI/ML workloads Manage and optimize cloud infrastructure across AWS/Azure/GCP with focus on scalability, reliability, and cost optimization Implement Infrastructure as Code (IaC) using Terraform, Terragrunt, and automation frameworks Deploy and manage containerized applications and AI workloads using Docker and Kubernetes Design and manage data workflow pipelines using Apache Airflow Manage event-driven architectures and integrations using Apache Kafka Implement monitoring and observability solutions using Prometheus, Grafana, and centralized logging platforms Automate environment provisioning, configuration management, and release processes Implement DevSecOps practices including security scanning, vulnerability management, and compliance controls Troubleshoot production issues, perform root cause analysis (RCA), and implement preventive solutions Drive automation initiatives to reduce manual effort and improve platform reliability Show More

Collected experience requirement

4 - 8 Years