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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, popular Python backend role, metro location and mid-level seniority increase competition.
Requires Thought Machine Vault Core and banking domain knowledge, making skills less transferable across industries.
Platform-specific Thought Machine expertise and multiple mandatory cloud/tool requirements make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Develop, optimize, and maintain Python-based engineering solutions on Google Cloud Platform (GCP) focusing on Thought Machine’s Vault Core platform.
Collaborate within agile cross-functional teams to automate software delivery pipelines and participate throughout the software development lifecycle, including enhancement of Python/Spark/Pentaho programs.
Manage software upgrades, testing, debugging, and migration of legacy applications while communicating with stakeholders and producing detailed design documentation.
Minimum Requirements
Strong hands-on experience with core Python programming including OOP, exception handling, unit testing, and modular programming.
Experience with Thought Machine Vault Core ecosystem, particularly smart contract engineering and API development/integration.
Experience in cloud environments, preferably GCP; skills with configuration management tools like Ansible, Terraform, Kubernetes, Docker, Helm.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Technical contributor comfortable working independently and collaboratively on medium to large scale agile projects involving cloud-native financial platforms.
Experienced in integrating Python applications with APIs and managing complex software deployments using cloud and container orchestration tools.
Skilled in problem-solving of technical issues in fast-evolving fintech environments leveraging AI tools responsibly to optimize workflows.
