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Salary
$50k – $80k per year (gross)
Location
In office (Vilnius)
Seniority
Middle · 3+ years exp
Employment
Full-Time

First seen by Alion on Sep 27, 2026.

Overview
Company
Impact
Profile match
Moody's provides credit ratings, risk analytics and economic research. Its analytics division sells software for credit assessment, compliance screening and climate risk. The firm is one of the principal global rating agencies.

Job Description

Support the development, maintenance, and evolution of web applications, services, and data solutions while building expertise in modern software engineering, data engineering, and AI enabled technologies.

  • Support, enhance, and help maintain the team’s React based web applications, resolving defects and delivering improvements that keep users productive from day one
  • Develop and support FastAPI based backend services and RESTful APIs, with guidance from senior engineers, ensuring reliability and performance
  • Take growing ownership of features end to end, from requirement clarification through deployment, enabling senior engineers to focus on platform and architecture work
  • Write clean, maintainable, well tested code in React, Python, and Structured Query Language, while actively participating in code reviews and adopting the team’s engineering best practices
  • Follow a structured learning path from Structured Query Language into PySpark, supported by mentoring, training resources, and dedicated learning time, with the goal of contributing to data engineering workloads within the first several months
  • Progressively contribute to the team’s data pipelines and data workloads as PySpark skills develop, growing toward shared ownership of data engineering deliverables
  • Assist in monitoring applications, services, and data workflows, troubleshooting issues and participating in root cause analysis to ensure reliability and performance
  • Work closely with business, product, and technical teams to understand priorities, clarify requirements, and communicate progress clearly and effectively
  • Follow data governance, security, and enterprise compliance standards, and maintain clear documentation for applications, services, and data workflows
  • Maintain source code repositories and automated build and deployment pipelines using GitHub or Azure DevOps to support reliable and repeatable releases

Requirements

  • 3 years of hands on experience building and supporting user interface based web applications using React, including internships or professionally delivered academic projects, required to take ownership of features in the applications the team operates today
  • Working experience with Python for backend development, ideally using FastAPI or a similar framework such as Flask or Django, including building and consuming RESTful APIs, required to support and extend the services behind the team’s applications
  • Solid command of Structured Query Language, including writing queries, joins, and aggregations against relational databases, required as the direct foundation for learning PySpark; a structured, mentored learning path into PySpark and data engineering is built into this role, so prior big data experience is preferred but not required
  • Foundational software engineering discipline, including Git based version control, code reviews, testing, documentation, and Agile ways of working, with a willingness to grow into continuous integration and continuous delivery, secure coding, and cloud practices used across the team
  • Strong analytical and problem solving skills, required to investigate application and data issues, learn quickly from feedback, and contribute effective solutions with support from senior engineers
  • Clear communication and dependable collaboration, along with genuine curiosity and drive to grow into data engineering and AI enabled workloads, required to work effectively within the team, ask insightful questions, and take on increasing responsibility on highly visible enterprise initiatives
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
  • Bachelor’s degree or higher in Computer Science, Information Technology, Software Engineering, or a related technical field

Company offers

  • Medical, Personal Accident, Life Insurance and Time Off
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