Software Engineer

THE JUDGE GROUP, INC.
San Francisco, United States of America
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 177K

Job location

San Francisco, United States of America

Tech stack

Java
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
CA Workload Automation Ae
Azure
Big Data
Cloud Engineering
Cloud Foundry
Code Review
Continuous Integration
Data Integration
ETL
Dimensional Modeling
Oracle Exadata
Github
Hadoop
Hadoop Distributed File System
Hive
Python
Mainframes
Scrum
Cloudera
Scala
Software Engineering
SQL Databases
Data Streaming
Unstructured Data
React
Flask
Spark
Backend
GIT
FastAPI
Containerization
Data Lake
Angular
PySpark
Kubernetes
Amazon Web Services (AWS)
Kafka
Front End Software Development
Virtual Agents
Cloudwatch
REST
Jenkins
Redshift
Databricks

Job description

We are seeking a Senior Software Engineer to support the modernization of a mission-critical, mainframe-based financial application onto a distributed, cloud-native platform. This role is primarily backend-focused, with a strong emphasis on Python and PySpark, and includes occasional frontend contributions using React and Angular.

You will join a Scrum-based delivery team embedded within Corporate Accounting, working on a system that serves as the enterprise system of record for financial data and feeds downstream general ledger platforms. This is a high-impact role that directly supports enterprise financial reporting, controls, and compliance.

While this is an individual contributor role (no formal people management), you will act as a technical subject matter expert (SME), mentoring engineers transitioning from legacy mainframe technologies to modern Python-based systems. 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 RESTful APIs using FastAPI and/or Flask
  • Ensure data accuracy, reliability, and integrity for financial data feeding enterprise general ledger systems
  • Collaborate within an Agile/Scrum team alongside Product Owners, Lines of Business stakeholders, and Operations teams
  • Serve as a Python SME, providing technical guidance and mentorship to engineers transitioning from mainframe technologies
  • Contribute to frontend development using React and Angular as required
  • Participate in technical design discussions, architecture reviews, and code reviews
  • Support CI/CD pipelines and cloud-native deployments using containerized platforms
  • Communicate effectively through technical documentation, stakeholder discussions, and presentations to both technical and non-technical audiences

Requirements

  • 7+ years of professional software engineering experience
  • Strong expertise in Python, including production experience with PySpark
  • Backend development experience with FastAPI and/or Flask
  • Frontend development experience with React and/or Angular
  • Experience working with SQL Server and/or Exadata
  • Hands-on experience with Kafka or other streaming platforms
  • Experience working in Agile / Scrum delivery environments
  • Strong communication and stakeholder engagement skills
  • Proven ability to guide and mentor engineers as a senior technical contributor

Preferred Qualifications

  • Experience in financial institutions or enterprise accounting environments
  • Familiarity with financial data flows, general ledger concepts, and accounting terminology

Nice-to-Have Skills

  • Agentic AI frameworks: LangGraph, LangChain, A2A
  • Programming Languages: Java, Scala, SQL, HiveQL
  • Big Data Technologies: Hadoop, Spark, HDFS, Hive, Cloudera, Hortonworks
  • Cloud Platforms: AWS (Glue, Lambda, Redshift, S3, CloudWatch)
  • ETL / ELT Tools: AWS Glue, PySpark, Databricks
  • Data Integration & Migration: Kafka, data lakes, real-time streaming architectures
  • Data Modeling: Dimensional models; structured and unstructured data processing
  • CI/CD & Automation: GitHub Actions, Azure DevOps, Jenkins, Git, Autosys, Airflow
  • Containerization & Orchestration: Kubernetes, * Senior-level individual contributor with deep backend engineering expertise
  • Comfortable acting as a technical SME and mentor without direct people-management responsibilities
  • Confident communicator capable of explaining complex technical systems clearly
  • Collaborative, adaptable, and effective in cross-functional enterprise environments

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