
DevOps Engineer
6 days ago
Position:
Azure DevOps Engineer (AI/ML Focus)
Location:
Vadodara
Employment Type:
contract
Experience Level:
Mid-to-Senior-Level (5+ Years in DevOps/Cloud Engineering)
About the Role
We are looking for an experienced
Azure DevOps Engineer
with deep expertise in cloud infrastructure, CI/CD automation, and MLOps practices. This role is centered on ensuring smooth deployment, monitoring, and scaling of AI/ML as well as backend workloads across Azure environments.
The ideal candidate should have hands-on experience with
Azure Synapse, Databricks, Docker/Kubernetes, Terraform, and ML pipelines
, enabling the delivery of secure, scalable, and production-ready applications and data-driven solutions. You will work closely with backend engineers, data scientists, and solution architects to build automated, reliable, and enterprise-grade environments.
This opportunity is perfect for DevOps professionals passionate about uniting data engineering, machine learning, and cloud operations to deliver impactful solutions.
Key Responsibilities
- Deploy and manage applications across
Azure services
(App Service, AKS, Functions, Logic Apps, Synapse, Databricks). - Design and manage infrastructure using
Terraform
and Infrastructure-as-Code best practices. - Implement networking, security, and access controls across Azure resources.
- Build and maintain
CI/CD pipelines
for backend applications and AI/ML workloads. - Support
data ingestion, feature engineering, training pipelines, and model deployment
. - Automate ML workflows using
Databricks, Azure ML, and MLflow
. - Implement monitoring, logging, and alerting with
Prometheus, Grafana, and Azure Monitor
.
Collaboration & Support
- Collaborate with backend engineers to integrate APIs and cloud services.
- Partner with data scientists to move models into production environments.
- Troubleshoot performance, scaling, and security challenges.
- Create and maintain documentation for processes, pipelines, and deployment strategies.
Required Skills
- 5+ years of experience in
Azure DevOps and Cloud Infrastructure
. - Strong expertise in
CI/CD pipeline automation
. - Proficiency in
Docker and Kubernetes (AKS)
. - Hands-on experience with
Terraform and Infrastructure as Code
. - Experience with
AI/ML pipeline automation, Databricks, Synapse, and Azure ML
. - Solid understanding of
networking, security, and IAM in Azure
. - Strong scripting and automation skills (
Python, Bash, PowerShell, YAML
).
Good to Have
- Knowledge of backend development in
Python (Flask/FastAPI)
for DevOps integration. - Familiarity with
MLOps best practices
(data versioning, model monitoring, automated retraining). - Certifications such as
Azure Solutions Architect, DevOps Engineer Expert, or Data Engineer Associate
. - Exposure to
AI/ML monitoring and governance frameworks
.
Soft Skills & Attributes
- Strong problem-solving and debugging abilities with an automation-first mindset.
- Excellent communication skills for collaboration with developers, architects, and data scientists.
- Highly organized with strong documentation and knowledge-sharing habits.
- Flexible and adaptable to evolving project priorities and requirements.
- Proactive in identifying risks, bottlenecks, and opportunities for improvement.
Who Should Apply
- Professionals passionate about
DevOps and MLOps convergence
. - Cloud engineers interested in working at the intersection of
AI, data engineering, and backend development
. - Individuals motivated by
automation, scalability, and production-grade solutions in Azure
.
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