Application Programmer expert
Application Programmer expert
Posted yesterday
SENIORITY
Senior
About the role
- Design, develop, and implement scalable backend systems using Python, with a focus on microservices and API-driven architecture
- Build and maintain RESTful APIs and backend services for data ingestion, processing, and integration
- Develop data processing pipelines to handle structured and unstructured data
- Collaborate with global Technology teams across multiple time zones in a hybrid environment
- Apply Object-Oriented Programming (OOP) principles and backend engineering best practices
- Drive resolution of complex technical challenges through analysis of system flows and business processes
- Ensure solutions align with enterprise architecture, performance, and scalability requirements
- Establish and follow standards for coding, testing, debugging, and deployment in backend environments
- Perform data extraction, transformation, and analysis to support business use cases
- Implement unit testing and TDD to ensure reliability and maintainability of backend services
- Contribute to microservices ecosystem, including service integration and inter-service communication
- Support the integration of LLMs and GenAI capabilities into backend systems and workflows
- Mentor junior developers and promote strong engineering and coding standards
- Identify and manage risks, ensuring compliance with policies, regulatory requirements, and governance standards
- Key Requirements and Technology Experience:
- Must have skills: Senior Python backend + microservices + REST APIs. Strong differentiator: AI tool experience (Copilot or similar). Process maturity: TDD, CI/CD, JIRA workflow
- Splunk, monitoring, data pipeline experience
- Domain: Risk/data-heavy environment (FS optional)
- Karat: Software Engineer - Python - Senior
- Bachelor's degree in computer science, Data Science, Engineering, or related field5–7 years of experience developing backend systems and services using PythonStrong proficiency in Python and related libraries (e.g., NumPy, Pandas)
- Experience building REST APIs and working in microservices or service-oriented architectures
- Experience with data processing, ETL pipelines, or data engineering concepts
- Familiarity with LLMs and GenAI technologies
- Understanding of distributed systems and backend integration patterns
- Ability to work independently and collaboratively in a global team
- Experience with distributed data tools (e.g., Hadoop, Spark, Hive)
- Knowledge of databases (e.g., MySQL or other relational databases)
- Familiarity with containerization (Docker) and orchestration (Kubernetes/OpenShift)
- Background in financial services, banking, or risk environments
- Experience with AI developer tools such as Copilot
Before you apply
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Your profile is current
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
