Software Engineer
Heredia, Costa Rica
- Posted
- 10/13/2026
- Job reference
- 15499
- Experience level
- Experienced Hire
- Job category
- Technology, Engineering & AI
- Job sub category
- Technology, Engineering & AI
- Line of business
- Data Estate
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
3-5 years of hands-on experience in workflow engineering, business systems analysis, software engineering, process automation, or a related field
Practical experience designing and implementing workflows within corporate environments
Hands-on experience with Jira and Jira Service Management
Experience with Microsoft Power Automate, Salesforce, or Microsoft Fabric is preferred
Practical experience with workflow automation and system integrations using Application Programming Interfaces, webhooks, and plug-ins
Working knowledge of Jira Query Language, Python, React, JavaScript, or TypeScript
Strong analytical and problem-solving skills, with the ability to identify and resolve complex workflow issues
Excellent written and verbal communication skills, with the ability to explain technical information clearly to non-technical stakeholders
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.
Education
Bachelor's degree in computer science, Software Engineering, Information Systems, Information Technology, Computer Engineering, Business Information Systems, Industrial Engineering, or a related field, or an equivalent relevant professional experience
Responsibilities
Design, implement, and optimize business workflows that improve operational efficiency and integrate critical business applications.
Design and implement efficient business process workflows aligned with organizational goals and the established workflow framework
Map current processes, identify bottlenecks and inefficiencies, and develop optimized workflows within Jira Service Management
Collaborate with cross-functional stakeholders, including technology operations and management, to understand workflow needs and address business challenges
Provide training and ongoing support to end users to promote the effective adoption and operation of new workflow systems
Monitor and analyze workflow performance, recommending and implementing continuous improvements as business needs evolve
Create and maintain clear, accessible documentation for workflow processes, configurations, updates, and system changes
Implement workflow triggers and system integrations using Application Programming Interfaces, plug-ins, webhooks, and automation capabilities
About the Team
Our Workflow team designs and implements dynamic, context-aware workflows that improve efficiency, accuracy, and consistency across business processes. The team partners with stakeholders to develop scalable solutions that adapt to the needs of specific tasks and teams. By joining our team, you will contribute to impactful work within our global data engineering organization.
For US-based roles only: the anticipated hiring base salary range for this position is ₡23,964,700.00 - ₡34,748,800.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role may be eligible for a completion bonus. Moody’s also offers insurance and a discounted employee stock purchase plan for limited duration employees.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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