Principal Software Engineer

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.

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.

The Role / Responsibilities:

The Principal Software Engineer is a hands-on engineer who works from design through implementation of large-scale systems that is data centric for the MA Platform. This is a leadership role in the Data Domain across all of Moody's Analytics, with the expectation that the candidate will demonstrate and propagate best practices and processes in software development. The candidate is expected to drive things on their own with minimal supervision from anyone.

He or she can

• Design, code, test, and develop features to support large-scale data processing pipelines, for our multi-cloud SaaS platform with good quality, maintainability, and end to end ownership
• Define and leverage data models to understand cost drivers, to create concrete action plans that address platform concerns on Data.
• Develop highly efficient code that scales to thousands of active users by minimizing operational costs.
• Work with all aspects of high throughput, distributed and multi-tenant services on AWS and/or Azure
• Collaborate with team members to plan, architect, implement and deliver new features and experiences.
• Working with peer managers across the team to continuously improve engineering process and technical capabilities.

Qualifications:

• 12 + years of experience in building and shipping production grade software systems or services, with one or more of the following: Distributed Systems, large-scale data processing, data storage, Information Retrieval and/or Data Mining, Machine Learning fundamentals.
• BS/MS/PhD in Computer Science or equivalent industry experience.
• Experience building and operating online services and fault-tolerant distributed systems at internet scale.
• Demonstrable experience shipping software, internet scale services using GraphQL/REST API(s) on Microsoft Azure and/or Amazon Web Services(AWS) cloud.
• Experience writing code in C++/C#/Java using agile and test-driving development (TDD).
• 4+ years in cloud service development - Azure or AWS services.
• Experience with building cloud-scale infrastructure components.
• Awareness, passion, and experience related to cloud scale distributed design and patterns.
• Familiar with secure software design concepts.
• Proven track record of delivering projects that include multiple components.
• Demonstrated problem solving and debugging skills.
• Ability to write and debug code which requires good understanding of threading and asynchronous programming fundamentals.
• Data driven approach to solving problems iteratively and measuring success.
• Commitment to collaboration and teamwork and ability to deliver via influence.

Preferred Qualifications:

• Excellent verbal and written communications skills (to engage with both technical and non-technical stakeholders at all levels).
• Familiarity with Extract Transform Load (ETL) Pipelines, Data Modeling, Data Engineering and past ML experience is a plus.
• Experience in Data Bricks will be an added plus.
• Hands-on experience using distributed computing platforms like Apache Spark, Apache Flink Apache Kafka or Azure Eventhub.
• Familiarity with big data, data science/analytics, and large-scale distributed systems.
• Experience building data pipelines, collecting metrics/logs and hauling data to storage specific to various needs (service monitoring, business monitoring etc.).
• Experience working with Big Data or ML platform tooling.

For US-based roles only: the anticipated hiring base salary range for this position is $196,900.00 - $285,400.00, 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, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, 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. Click here to view our Notice to New York City Applicants.
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.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.