Senior Software Engineer -Python | Azure | MLOps | Pune

Sdna Global

Pune District

On-site

INR 2,500,000 - 2,700,000

Full time

14 days+
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Job summary

Sdna Global in Pune (Kharadi) seeks a Senior Software Engineer with deep Python, Azure, Cloud Platform Engineering, and MLOps expertise to build and enhance enterprise-grade model deployment and analytics platforms.

You will design, develop, and support scalable cloud platforms that enable teams to securely develop, deploy, and operate data and AI solutions, while collaborating with engineers, data scientists, and global teams to uphold security, reliability, and quality.

Qualifications

  • 8+ years of Software/Platform Engineering experience.
  • Experience building enterprise-grade distributed systems and services.
  • Strong Git/GitLab and CI/CD experience.

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.

Skills

Python development
Distributed systems
CI/CD pipelines
Git/GitLab
Azure cloud
MLOps
Terraform / Ansible
Model lifecycle management
Security and reliability
Communication skills

Education

Master's degree in Computer Science / Computer Engineering or equivalent

Tools

Python
Git/GitLab
CI/CD
Azure
Terraform
Ansible
MLFlow
Model Registry
Model Lifecycle Management
RBAC
Key Vault
Networking
Storage
Compute

Job description

Job Title: Senior Software Engineer Python | Azure | MLOps
Location: Pune (Kharadi)
Experience: 8+ Years
CTC: 25-27 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.
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