
Devops
Job Sector: IT , Software
Job Type: Permanent
Location: Sholinganallur (Chennai)
Experience: 6 -8 Years
Salary: 11 – 13 LPA
Education: Any Graduate
Notice Period: Immediate
Key Skills: CI/CD Tools –Maven, Gradle, Fastlane, Jenkins, Travis
CV submission closing date: 22/07/2021
Contact at triple eight two zero nine four two double seven
Job Responsibilities:
- Design, develop, ship, and motivate the creation of software and systems to increase product reliability and organizational efficiency.
- Guide reliability practices through the entire software development lifecycle through activities like architecture reviews, code reviews, creating platforms and frameworks, capacity planning, and chaos testing.
- Maintain service health through monitoring and incident response.
- Improve service reliability through blameless post-incident reviews and using code to prevent or respond to problem recurrence.
Required Skills:
- BS degree in Computer Science, related technical field, or equivalent practical experience.
- Experience writing code in Java, Go, Shell, Perl, Python, or a similar language.
- Ability to debug, optimize code, and automate routine tasks.
- Strong interest in SRE topics like SLOs, resilience, scaling, performance, and more.
- We get excited about engineers who:
- have previous experience with public clouds and enabling technology (AWS & Terraform preferred or other similar technologies)
- Familiar on one or more CI/CD Tools – Maven, Gradle, Fastlane, Jenkins, Travis/CircleCI
- Experience designing using asynchronous messaging patterns

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Job Title : DevOps Engineer
Experience : 3+ Years
Location : Mumbai
Employment Type : Full-time
Job Overview :
We’re looking for an experienced DevOps Engineer to design, build, and manage Kubernetes-based deployments for a microservices data discovery platform.
The ideal candidate has strong hands-on expertise with Helm, Docker, CI/CD pipelines, and cloud networking — and can handle complex deployments across on-prem, cloud, and air-gapped environments.
Mandatory Skills :
✅ Helm, Kubernetes, Docker
✅ Jenkins, ArgoCD, GitOps
✅ Cloud Networking (VPCs, bare metal vs. VMs)
✅ Storage (MinIO, Ceph, NFS, S3/EBS)
✅ Air-gapped & multi-tenant deployments
Key Responsibilities :
- Build and customize Helm charts from scratch.
- Implement CI/CD pipelines using Jenkins, ArgoCD, GitOps.
- Manage containerized deployments across on-prem/cloud setups.
- Work on air-gapped and restricted environments.
- Optimize for scalability, monitoring, and security (Prometheus, Grafana, RBAC, HPA).
Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices
Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting
Job Summary :
We are looking for a proactive and skilled Senior DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.
Key Responsibilities :
- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms (AWS, GCP, or Azure).
- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.
- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling.
CI/CD & Release Management :
- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.
- Collaborate with developers to ensure smooth and frequent deployments to production.
- Manage versioning and rollback strategies for critical deployments.
Containerization & Orchestration using Kubernetes :
- Containerize applications using Docker, and manage them using Kubernetes.
- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.
- Develop utilities and tools to enhance operational efficiency and reliability.
Monitoring & Incident Management :
- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.
- Optimize application and system performance through proactive monitoring and configuration tuning.
Desired Skills and Experience :
- Experience Required - 8+ yrs.
- Hands-on experience on cloud services like AWS, EKS etc.
- Ability to design a good cloud solution.
- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.
- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.
- Use knowledge and research to constantly modernize our applications and infrastructure stacks.
- Be a team player and strong problem-solver to work with a diverse team.
- Having good communication skills.
We are looking for a highly skilled DevOps/Cloud Engineer with over 6 years of experience in infrastructure automation, cloud platforms, networking, and security. If you are passionate about designing scalable systems and love solving complex cloud and DevOps challenges—this opportunity is for you.
Key Responsibilities
- Design, deploy, and manage cloud-native infrastructure using Kubernetes (K8s), Helm, Terraform, and Ansible
- Automate provisioning and orchestration workflows for cloud and hybrid environments
- Manage and optimize deployments on AWS, Azure, and GCP for high availability and cost efficiency
- Troubleshoot and implement advanced network architectures including VPNs, firewalls, load balancers, and routing protocols
- Implement and enforce security best practices: IAM, encryption, compliance, and vulnerability management
- Collaborate with development and operations teams to improve CI/CD workflows and system observability
Required Skills & Qualifications
- 6+ years of experience in DevOps, Infrastructure as Code (IaC), and cloud-native systems
- Expertise in Helm, Terraform, and Kubernetes
- Strong hands-on experience with AWS and Azure
- Solid understanding of networking, firewall configurations, and security protocols
- Experience with CI/CD tools like Jenkins, GitHub Actions, or similar
- Strong problem-solving skills and a performance-first mindset
Why Join Us?
- Work on cutting-edge cloud infrastructure across diverse industries
- Be part of a collaborative, forward-thinking team
- Flexible hybrid work model – work from anywhere while staying connected
- Opportunity to take ownership and lead critical DevOps initiatives
- Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
- Perform infrastructure cost analysis and optimization
environment. He/she must demonstrate a high level of ownership, integrity, and leadership
skills and be flexible and adaptive with a strong desire to learn & excel.
Required Skills:
- Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
- and/or Codefresh
- Excellent knowledge of AWS offerings around Cloud and DevOps
- Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
- Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
- Strong experience in Python, Shell Scripting, Ansible, and Terraform
- Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
- Experience with Linux/Unix systems administration.
Required qualifications and must have skills
-
5+ years of experience managing a team of 5+ infrastructure software engineers
-
5+ years of experience in building and scaling technical infrastructure
-
5+ years of experience in delivering software
-
Experience leading by influence in multi-team, cross-functional projects
-
Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
-
Experience with cloud service providers such as AWS, GCP, or Azure
-
Experience with containerization technologies such as Kubernetes and Docker
Nice to have Skills
-
Experience with Hadoop, Hive and Presto
-
Application/infrastructure benchmarking and optimization
-
Familiarity with modern CI/CD practices
-
Familiarity with reliability best practices
What you will do:
- Handling Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups and monitoring
- Logging, metrics and alerting management
- Creating Docker files
- Performing root cause analysis for production errors
What you need to have:
- 12+ years of experience in Software Development/ QA/ Software Deployment with 5+ years of experience in managing high performing teams
- Proficiency in VMware, AWS & cloud applications development, deployment
- Good knowledge in Java, Node.js
- Experience working with RESTful APIs, JSON etc
- Experience with Unit/ Functional automation is a plus
- Experience with MySQL, Mango DB, Redis, Rabbit MQ
- Proficiency in Jenkins. Ansible, Terraform/Chef/Ant
- Proficiency in Linux based Operating Systems
- Proficiency of Cloud Infrastructure like Dockers, Kubernetes
- Strong problem solving and analytical skills
- Good written and oral communication skills
- Sound understanding in areas of Computer Science such as algorithms, data structures, object oriented design, databases
- Proficiency in monitoring and observability
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Beng involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Creating and managing CI/ CD pipelines for microservice architectures.
- Creating and managing application configuration.
- Researching and planning architectures and tools for smooth deployments.
- Logging, metrics and alerting management.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in designing CI/ CD pipelines using jenkins. Experience in deployment using Ansible.
- Experience in microservices architecture deployment, Hands-on experience on Docker, Kubernetes, EKS.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Configuration management tools like ansible/chef/puppet.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Proficient in bash scripting, python scripting is an advantage.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Proficient in Configuration Management.
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery












