Python Engineering Lead, VP

Role Overview: As a Python Engineering Lead at Deutsche Bank, Pune, India, you will be responsible for developing, optimizing, and maintaining engineering solutions on Google Cloud Platform (GCP). You will lead a team of developers within cross-functional teams, contributing to medium and large-scale projects. Your role will require hands-on expertise in Python development, cloud data engineering, and extensive experience in Core Banking Projects (at least 5 to 10 years). Additionally, you should have experience in a leadership role with a team of at least 5-10 people. Key Responsibilities: - Lead a team of engineers in delivering a large migration project and managing the environment, code, CI/CD pipelines. - Manage the team in configuring Thought Machine smart contracts with Python code. - Ensure the setup and maintenance of GCP environments. - Lead a team to support the adoption of continuous delivery by automating the building, packaging, testing, and deployment of applications. - Manage stakeholders, especially stream leads, and work closely to ensure delivery timelines are met. Qualifications Required: - Extensive experience in banking projects, particularly in retail banking or core banking platforms, with involvement in at least one large migration project. - Leadership experience, having led a team of at least 10-15 people. - Strong grasp of fundamental and advanced Python concepts including syntax, data types, control structures, and functions. - Understanding of Object-Oriented Programming (OOP) principles. - Experience in Google Cloud Architecture or Engineering. - Exposure to DevOps tools and their implementation in projects. - Specific knowledge of the Thought Machine ecosystem, including skills in Smart Contract Engineering, API Development and Integration, Cloud Platforms, and Database Knowledge. - Proficiency in configuration management tools such as Ansible, Terraform, Kubernetes, Docker, Helm, or similar tools. - Understanding of networking concepts such as Firewall, Load balancing, and data transfer. - General professional skills including analytical and problem-solving skills, communication skills, adaptability, and collaboration. (Note: Additional details about the company were not provided in the job description.) Role Overview: As a Python Engineering Lead at Deutsche Bank, Pune, India, you will be responsible for developing, optimizing, and maintaining engineering solutions on Google Cloud Platform (GCP). You will lead a team of developers within cross-functional teams, contributing to medium and large-scale projects. Your role will require hands-on expertise in Python development, cloud data engineering, and extensive experience in Core Banking Projects (at least 5 to 10 years). Additionally, you should have experience in a leadership role with a team of at least 5-10 people. Key Responsibilities: - Lead a team of engineers in delivering a large migration project and managing the environment, code, CI/CD pipelines. - Manage the team in configuring Thought Machine smart contracts with Python code. - Ensure the setup and maintenance of GCP environments. - Lead a team to support the adoption of continuous delivery by automating the building, packaging, testing, and deployment of applications. - Manage stakeholders, especially stream leads, and work closely to ensure delivery timelines are met. Qualifications Required: - Extensive experience in banking projects, particularly in retail banking or core banking platforms, with involvement in at least one large migration project. - Leadership experience, having led a team of at least 10-15 people. - Strong grasp of fundamental and advanced Python concepts including syntax, data types, control structures, and functions. - Understanding of Object-Oriented Programming (OOP) principles. - Experience in Google Cloud Architecture or Engineering. - Exposure to DevOps tools and their implementation in projects. - Specific knowledge of the Thought Machine ecosystem, including skills in Smart Contract Engineering, API Development and Integration, Cloud Platforms, and Database Knowledge. - Proficiency in configuration management tools such as Ansible, Terraform, Kubernetes, Docker, Helm, or similar tools. - Understanding of networking concepts such as Firewall, Load balancing, and data transfer. - General professional skills including analytical and problem-solving skills, communication skills, adaptability, and collaboration. (Note: Additional details about the company were not provided in the job description.)