DevOps Engineer

7 days ago

Pune, Maharashtra, India Credenca Data Solutions Private Limited Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Company Name:
Credenca Data Solutions Pvt. Ltd.

Position:
DevOps Engineer – AI Team

Experience:
3–5 Years

Description of Position:

Credenca Data Solutions Pvt Ltd is looking for a highly skilled and motivated DevOps Engineer to join its AI team. The ideal candidate will have 3 to 5 years of experience working in DevOps roles supporting backend systems, AI/ML pipelines, and cloud infrastructure, particularly on Azure.

Desired Skills and Experience:

● Proven experience with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or similar.

● Proficient in Docker and Kubernetes for containerized deployments.

● Experience deploying and managing applications on Microsoft Azure Cloud (App Services, AKS, Blob Storage, Functions, etc.).

● Good understanding of Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.

● Hands-on with Linux-based server environments, shell scripting, and automation.

● Experience with monitoring, alerting, and logging tools such as Prometheus, Grafana, Azure Monitor, or ELK Stack.

● Knowledge of networking, DNS, load balancers, and firewalls within cloud environments.

● Exposure to deploying and maintaining ML/AI applications and model endpoints in production.

● Familiarity with source control (Git) and managing secure, collaborative workflows.

● Experience in build optimization, artifact management, and release pipelines.

● Knowledge of RBAC, OAuth2, API gateway management, and secure deployment practices.

● Ability to troubleshoot, optimize, and maintain high-availability and scalable infrastructure.

● This role requires a deep understanding of CI/CD pipelines, infrastructure as code (IaC), containerization, and cloud-native deployments.

● The candidate will be responsible for ensuring smooth delivery and deployment of AI-based applications and backend services, maintaining system reliability, and optimizing infrastructure performance.

Good to Have:

● Experience working with MLflow, DVC, or other MLOps tools.

● Familiarity with LangChain, LLMs, and deployment of AI model APIs.

● Exposure to multi-cloud or hybrid deployments.

● Experience with cost optimization and resource monitoring in Azure.

● Scripting knowledge in Python, PowerShell, or Bash.

● Experience integrating QA automation into DevOps pipelines.

Other Skills:

● Strong collaboration and communication skills for working with development, QA, and data science teams.

● Ability to analyze system bottlenecks, suggest improvements, and implement scalable solutions.

● Solid understanding of Agile/Scrum environments, version control, and release cycles.

● Good documentation skills for creating runbooks, deployment guides, and operational playbooks.

Educational Qualifications:

● Bachelor's degree in computer science, information technology, or a related discipline.

● Relevant DevOps/cloud certifications (e.g., Azure DevOps Engineer, Docker Certified Associate, etc.) are a plus.

Work Location:

Requirement Fulfilment: Immediate to within 15–20 days

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