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Tier-1 brand, mid-level generalist Python role, metro location, and broad required skills increase applicant competition.
Core Python, cloud, and container skills are transferable across industries, though finance domain knowledge helps.
Explicit 4–5 year minimum plus mandatory Python, Kubernetes, containers, and cloud skills make filters strict.
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Utilize Python expertise to identify, define, and implement system enhancements, including scripting and code analysis.
Manage and deploy applications using Kubernetes and container technologies like Docker, ensuring optimized and secure delivery.
Engage with cloud platforms (AWS, GCP, Azure) and contribute to GenAI/AgenticAI development initiatives using frameworks such as TensorFlow, PyTorch, or scikit-learn.
Minimum 4-5 years professional experience in software development focused on Python.
Hands-on experience with Kubernetes, including cluster management and Helm chart deployment.
Proficiency in containerization technologies, primarily Docker.
Eligibility to live and work in India and have been on a career break for at least 18 months.
Experience applying Python development skills within financial services or technology environments, especially with frameworks like Django, Flask, or FastAPI.
Demonstrated capability in managing Kubernetes environments and containerized applications for cloud platforms.
Motivated to transition back into working life with a structured support program and willing to engage with emerging technologies like GenAI/AgenticAI.