Python Developer

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JOB DESCRIPTION WAS CREATED BY AI, REVIEW BEFORE POSTING Senior Software Engineer – Python / PySpark (Mainframe Modernization)

Location:

San Francisco, CA Duration: 12 months Job  Team Objective The team is responsible for modernizing a core mainframe-based financial application by rewriting it onto a distributed platform. This application serves as the front door for financial data, acting as the system of record (SLR) and feeding downstream general ledger systems. The platform is embedded within Corporate Accounting and plays a critical role in enterprise financial reporting and controls.

Role

Summary:

Client is seeking a Senior Software Engineer with deep backend expertise to join a Scrum-based delivery team modernizing a mission-critical financial system. This role is heavily backend-focused, with strong emphasis on Python and PySpark, while also contributing to frontend development using React and Angular as needed. This candidate will serve as a technical SME, guiding a team that is actively upskilling from mainframe technologies into modern Python-based platforms.

While this is not a people-lead role, the position requires strong mentorship, technical guidance, and exceptional communication skills. The engineer will work closely with Product Owners, Lines of Business, and Operations teams, and must be comfortable presenting technical concepts to both technical and non-technical audiences.

Key Responsibilities:

Design, develop, and modernize backend services to replace legacy mainframe functionality on a distributed platform Build and maintain data ingestion, validation, and transformation pipelines using Python and PySpark Develop and support APIs using FastAPI and/or Flask Collaborate within a Scrum team, partnering closely with Product Owners, LOB stakeholders, and Operations Act as a Python SME, mentoring engineers transitioning from mainframe technologies Contribute to frontend development using React and Angular when required Ensure data accuracy and integrity for financial feeds flowing into general ledger systems Participate in technical design discussions, code reviews, and architecture decisions Communicate effectively through documentation, presentations, and stakeholder discussions Support CI/CD pipelines and cloud-native deployments using containerized platforms

Required Qualifications:

7 plus years of relevant professional software engineering experience Strong expertise in Python, with production experience using PySpark Backend experience with FastAPI and/or Flask Frontend experience with React and/or Angular

Experience with SQL Server and/or Exadata Hands-on experience with Kafka or other streaming platforms Experience working in Agile / Scrum delivery models Strong communication, presentation, and stakeholder engagement skills Ability to guide and mentor other engineers as a senior technical contributor Preferred / Nice-to-Have

Skills:

Agentic AI frameworks:
Lang Graph, Lang Chain, A2A Programming

Languages:

Java, Scala, SQL, HiveQL Big Data Technologies:
Hadoop, Spark, HDFS, Hive, Cloudera, Hortonworks Cloud Platforms: AWS (Glue, Lambda, Redshift, S3, Cloud Watch) ETL / ELT Tools: AWS Glue, PySpark, Databricks Data Integration & Migration:
Hadoop ecosystems, Kafka, real-time streaming, data lakes Data Modeling: dimensional models, structured and unstructured data processing CI/CD & Automation:
Git Hub Actions, Azure Dev Ops, Jenkins, Git, Autosys, Airflow Containerization and Orchestration:
Kubernetes

Required Skills:

Full Stack Python Front End:
React/Angular Backend:
FastAPI / Flask Data layer: SQLServer/Exadata Streaming:
Kafka Agentic AI:
Lang Graph, Lang Chain, A2A (Good to Have) CI/CD: (Git Hub Actions / Azure Dev Ops), Kubernates Industry Background (Preferred):
Experience in financial institutions or enterprise accounting environments is highly desirable Familiarity with financial data flows, general ledger concepts, and accounting terminology is a plus, though strong technical expertise is the primary requirement Ideal Candidate Profile:
Senior-level individual contributor with strong backend engineering depth Comfortable serving as an SME and mentor without formal people-management responsibilities Confident presenter with the ability to explain complex systems clearly Adaptable, collaborative, and effective in cross-functional environments In this contingent resource assignment, candidates may:
Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.

Strategically collaborate and consult with client personnel.

Required Qualifications:

5 plus years of…