DevOps Engineer

4 days ago

Vadodara, Gujarat, India Kresta Softech Private Limited Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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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