- Experience and deep understanding working within a DevOps environment.

- Solid technical background/understanding in DevOps, Software Engineering or Infrastructure Engineering so that you're able to understand high level technical briefs, talks and ideas.

- Experience with various monitoring solutions namely Dynatrace, App Dynamics, Grafana etc.

- Experience of the full software delivery lifecycle and working in complex enterprise environments.

- Experience with Windows systems engineering and Linux as well.

- Strong experience in multiple public clouds.

- Experienced in CI/CD Pipelines with GitHub Actions

- Strong grasp of container technology including container orchestration with tools such as Kubernetes, Rancher, Docker Swarm, Nomad or similar.

- Solid understanding of Microservices and APIs.

- Experience/ Interest working in an Agile environment.

- Oversight of critical incident and major system escalations from initiation to resolution

- Create mechanisms/architectures that enable fault tolerance and rapid recovery from failure

- Strong communication skills, verbal and written

- Create and maintain configuration standards for software and infrastructure

- Strong proficiency in Python scripting for automation and integration tasks.

- Proven experience in designing and developing CI/CD pipelines from scratch using YAML scripting within Azure DevOps.

- Hands-on experience managing branching strategies, resolving merge conflicts, and maintaining projects and repositories as an Azure DevOps administrator.

- Familiarity with infrastructure automation and integration of deployment workflows across multiple environments.

- Practical experience implementing MLOps pipelines for end-to-end machine learning lifecycle management - including model training, versioning, deployment,



and monitoring.

- Strong understanding of Machine Learning concepts such as data preprocessing, model evaluation, and optimization.

- Experience with Azure Machine Learning, MLflow, or Databricks for managing ML experiments and model registries.

- Ability to integrate ML workflows into CI/CD pipelines for automated deployment and governance.

Requirements

Qualifications

- Bachelor’s degree in a technical field, or equivalent experience

- 4+ years’ experience in an operational environment, preferred

Technical Requirements

- Experience with Linux, Windows and Mac platforms

- Experience in network and server engineering

- Experience with automation/configuration management such as Ansible, Chef, Puppet or equivalent

- Strong competency with cloud providers such as Azure.

- Demonstrated experience installing, operating and troubleshooting a variety of open source technologies

- Experience with relational and non-relational databases

- Practical experience developing software or meeting operational needs with code and scripting (Bash, Python, Perl, Ruby, or Java)

- Experience with software quality principles and associated tools for testing and analysis.

- Knowledge of CI & CD practices and supporting tools (Jenkins, Bamboo or similar)

- Experience with Pipelines, YAML, Helm

- Demonstrated experience in documenting, designing and re-designing process in an enterprise setting

- Experience with PaaS technologies such as containers, container orchestration and scheduling, service registration / discovery and monitoring (Docker, Kubernetes, etc.)

- Experience with automation in dynamic environments such as IaaS and PaaS

- Experience with OpenText Archive and ICC Server will be an advantage.

- Experience with Akamai CDN or similar is preferred.

📌 DevOps Engineer (Chennai)
🏢 techcarrot FZ
📍 Chennai