Software Engineer, VP

12 - 17 years

5 - 10 Lacs

Posted:3 days ago| Platform: Foundit logo

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Skills Required

ci/cd pipelines

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

This vice presidentlevel role is suited to a technically strong Software Engineer with deep experience in Python and AI/ML technologies. The role spans the full software development lifecycle, focusing on the design, development, testing, and deployment of resilient, scalable software solutions. Working within a permanent feature team, the role supports business objectives through close collaboration with engineers, architects, and stakeholders.

Key Responsibilities

  • Design, develop, test, and implement software solutions across the full system lifecycle
  • Build deep understanding of the platform across business, application, data, and infrastructure layers
  • Collaborate with principal engineers, architects, and key stakeholders to align technical solutions with business objectives
  • Apply Agile methodologies to backlog-driven software development
  • Develop resilient, maintainable, and long-lived software capable of adapting to future requirements
  • Contribute to intentional architecture and emergent design through innovation, experimentation, and prototyping
  • Design and develop software with a strong focus on automating build, test, and deployment processes
  • Use executable patterns to support continuous integration and continuous delivery

Required Skills and Experience

  • Minimum of twelve years of experience in Python and AI/ML frameworks
  • Strong ability to solve complex problems using appropriate programming languages and techniques
  • Proven experience capturing, analysing, and validating complex business and system requirements
  • Hands-on experience building and deploying machine learning models using tools such as TensorFlow, PyTorch, and Scikit-learn
  • Experience working with cloud platforms including AWS, Azure, or GCP
  • Strong knowledge of MLOps tools and practices such as MLflow, Kubeflow, Docker, and Kubernetes for model lifecycle management
  • Experience working within information security policies and practices in the financial services sector
  • Strong collaboration skills with the ability to work effectively with business and technology teams
  • Excellent stakeholder management and communication skills, with the ability to explain complex technical concepts clearly

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