41 applicants

Company

Original Job Post

Moody's Corporation · 1 week ago

Principal Software Engineer

Bellevue, WA

Full-time

Onsite

Senior Level

$197K/yr - $285K/yr

12+ years exp

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Responsibilities

Design, code, test, and develop features for large-scale data processing pipelines

Define and leverage data models to address platform concerns on Data

Develop highly efficient code that scales to thousands of active users

Work on high throughput, distributed, and multi-tenant services on AWS and/or Azure

Collaborate with team members to plan, architect, implement, and deliver new features

Improve engineering process and technical capabilities

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Distributed SystemsLarge-Scale Data ProcessingData StorageInformation RetrievalData MiningMachine LearningOnline ServicesFault-Tolerant SystemsGraphQLREST APIMicrosoft AzureAmazon Web ServicesC++C#JavaAgileTest-Driven DevelopmentCloud Service DevelopmentCloud-Scale InfrastructureCloud Scale Distributed DesignSecure Software DesignProject DeliveryThreadingAsynchronous ProgrammingData-Driven Problem SolvingProblem SolvingCollaborationTeamworkInfluenceETL Pipelines

Required

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

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.

Benefits

Insurance

Employee Stock Purchase Plan

Company

Moody's Corporation

Glassdoor

3.8

In a world shaped by increasingly interconnected risks, Moody’s helps customers develop a holistic view of these risks to advance their business and act decisively.

Founded in 1970

New York, New York, USA

10,001+ employees