Senior Software Engineer -Python | Azure | MLOps | Pune

Job Title: Senior Software Engineer Python | Azure | MLOps
Location: Pune (Kharadi)
Experience: 8+ Years
CTC: 2527 LPA (including 10% variable)
Open Positions: 2

Job Description

We are looking for an experienced Senior Software Engineer with strong expertise in Python, Azure, Cloud Platform Engineering, and MLOps to build and enhance enterprise-grade model deployment and analytics platforms.

The role involves designing, developing, and supporting scalable cloud platforms that enable teams to securely develop, deploy, and operate data and AI solutions.

Key Responsibilities

• Design, develop, and maintain scalable cloud platforms and distributed services.
• Build and enhance model deployment applications and platform capabilities.
• Develop high-quality software using Python.
• Implement automation and CI/CD pipelines using Git/GitLab.
• Work with Microsoft Azure services including networking, RBAC, Key Vault, storage, and compute.
• Develop and manage Infrastructure as Code using Terraform and/or Ansible.
• Support MLOps, MLFlow, model registry, and model lifecycle management.
• Collaborate with engineers, data scientists, architects, and global teams.
• Ensure solutions meet high standards of security, reliability, scalability, and quality.
• Take ownership of solutions from design and development through deployment and production support.

Mandatory Skills

• 8+ years of Software/Platform Engineering experience.

• Strong Python development experience.

• Experience building enterprise-grade distributed systems and services.

• Strong Git/GitLab and CI/CD experience.

• Strong Azure expertise.

• Hands-on experience with Azure:

• Networking

• RBAC

• Key Vault

• Storage

• Compute

• Experience with Terraform and/or Ansible.

• Good understanding of MLOps.

• Experience with MLFlow, Model Registry, and Model Lifecycle Management.

• Strong problem-solving and communication skills.

Preferred Profile

• Master's degree in Computer Science, Computer Engineering, or equivalent experience.
• Experience working in Agile and globally distributed teams.
• Strong ownership and production-support experience.
• Ability to work independently and collaborate with cross-functional teams.
• Passion for cloud platforms, automation, AI/ML, and continuous improvement.