Back
Tier-1 brand, generic Python role, metro location, and broad skill requirements drive high competition.
Banking core platform expertise reduces transferability despite broadly transferable Python, Spark, and cloud skills.
Specific platform (Thought Machine), cloud/data stack and DevOps tools make filters highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, optimize, and maintain Python-based engineering solutions on Google Cloud Platform (GCP) independently and within cross-functional teams.
Own software development lifecycle stages including coding, testing, debugging, documentation and upgrades for medium to large-scale projects using Python, Spark, Pentaho, and cloud-native tools.
Support continuous delivery adoption by automating building, packaging, testing, and deployment of applications and communicate with stakeholders effectively.
Proven hands-on experience programming in Python, including core concepts, OOP, testing, debugging, and version control.
Experience with cloud platforms, preferably GCP; familiarity with configuration management tools such as Ansible, Terraform, Kubernetes, Docker, Helm or similar.
Knowledge of databases (SQL/NoSQL), APIs, and multi-process cloud architectures is required.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrates strong technical expertise in Python within cloud data engineering environments, particularly on GCP or similar platforms.
Experienced in working with Thought Machine Vault Core platform or similar financial smart contract engineering ecosystems.
Capable of managing agile projects, automation pipelines, and collaborating effectively in cross-functional and stakeholder-communicative roles.