11+ Clustering Jobs in Chennai | Clustering Job openings in Chennai

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Wissen Technology is hiring for Devops engineer

Required:

-4 to 10 years of relevant experience in Devops

-Must have hands on experience on AWS, Kubernetes, CI/CD pipeline

-Good to have exposure on Github or Gitlab

-Open to work from hashtag Chennai

-Work mode will be Hybrid

Company profile:

Company Name : Wissen Technology

Group of companies in India : Wissen Technology & Wissen Infotech

Work Location - Chennai

Website : www.wissen.com

Wissen Thought leadership : https://lnkd.in/gvH6VBaU

LinkedIn: https://lnkd.in/gnK-vXjF

Roles and Responsibilities:

• AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
• Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
• Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
• Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
• Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements. 

Mandatory Skills:

• Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
• Strong proficiency in automated provisioning and cloud management.
• Experience with Infrastructure as Code tools, particularly Terraform and Packer.
• Solid understanding of CI/CD pipelines and version control systems.
• Strong scripting skills (e.g., Python, Bash) for automation tasks.
• Excellent problem-solving and troubleshooting skills.
• Good interpersonal and communication skills for effective collaboration.

Secondary Skills:

• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of microservices architecture and serverless computing.
• Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).

Job Description

What does a successful Senior DevOps Engineer do at Fiserv?

This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.

What will you do:

• Build, manage, and deploy CI/CD pipelines.

• DevOps Engineer - Helm Chart, Rundesk, Openshift

• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.

• Implementing various development, testing, automation tools, and IT infrastructure

• Optimize and automate release/development cycles and processes.

• Be part of and help promote our DevOps culture.

• Identify and implement continuous improvements to the development practice

What you must have:

• 3+ years of experience in devops with hands-on experience in the following:

- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks

- Building docker images and running/managing docker instances

- Building Jenkins pipelines using groovy scripts

- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes

• Has good understanding on infrastructure as code

• Ability to write and update documentation

• Demonstrate a logical, process orientated approach to problems and troubleshooting

• Ability to collaborate with multi development teams

What you are preferred to have:

• 8+ years of development experience

• Jenkins administration experience

• Hands-on experience in building and deploying helm charts

Process Skills:

• Should have worked in Agile Project

Behavioral Skills :

• Good Communication skills

Skills

PRIMARY COMPETENCY : Cloud Infra PRIMARY SKILL : DevOps PRIMARY SKILL PERCENTAGE : 100

Java with cloud

Minimum 4 years exp 

Skillsets:

1. Build automation/CI: Jenkins
2. Secure repositories: Artifactory, Nexus
3. Build technologies: Maven, Gradle
4. Development Languages: Python, Java, C#, Node, Angular, React/Redux
5. SCM systems: Git, Github, Bitbucket
6. Code Quality: Fisheye, Crucible, SonarQube
7. Configuration Management: Packer, Ansible, Puppet, Chef
8. Deployment: uDeploy, XLDeploy
9. Containerization: Kubernetes, Docker, PCF, OpenShift
10. Automation frameworks: Selenium, TestNG, Robot
11. Work Management: JAMA, Jira
12. Strong problem solving skills, Good verbal and written communication skills
13. Good knowledge of Linux environment: RedHat etc.
14. Good in shell scripting
15. Good to have Cloud Technology : AWS, GCP and Azure

• Experience working on Linux based infrastructure
• Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
• Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
• Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles

• Expertise in Infrastructure & Application design & architecture
• Expertise in AWS, OS & networking
• Having good exposure on Infra & Application security
• Expertise in Python, Shell scripting
• Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
• Solid background in systems engineering and operations
• Strong in Devops methodologies and processes
• Strong in CI/CD pipeline & SDLC.