DevOps Engineer
techcarrot FZ LLC
- Location
- Onsite (Hyderabad, Telangana)
- Employment
- Full-time
- Level
- Mid Level
Posted 2 days ago
About the role
techcarrot is a global IT services provider specializing in digital transformation, with operations in the UAE, India, USA, and the Netherlands. This role involves managing CI/CD pipelines, ensuring system fault tolerance, and integrating machine learning workflows into automated deployment processes.
Skills
DevOps
Software Engineering
Infrastructure Engineering
Dynatrace
App Dynamics
Grafana
Windows
Linux
GitHub Actions
Kubernetes
Python
Azure DevOps
MLOps
Machine Learning
Azure Machine Learning
Databricks
Full job details
- 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
- Bachelor’s degree in a technical field, or equivalent experience
- 4+ years’ experience in an operational environment, preferred