Python Engineer, AWS Cloud for FinTech

T. Rowe Price; Baltimore (MD); Hybrid; USD 121,000 - 206,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

T. Rowe Price is seeking a skilled engineer to design, develop, and implement applications across front-office and back-office domains.

You will work with Quants, Portfolio Managers, and Analysts to translate requirements into robust software solutions, with emphasis on automation, testing, and scalable architectures. The role offers a hybrid work arrangement in the US, with opportunities to influence strategic IT initiatives and improve performance across datasets and systems critical to

Qualifications

• Bachelor’s degree in Computer Science (or equivalent experience) and 2+ years of progressive experience with Python.
• Hands‑on experience with AWS services such as ECS, Fargate, Lambda, SNS, SQS, S3, DynamoDB, ALB, CloudFront, CloudWatch, IAM, and others.
• Experience with Python frameworks and tools (e.g., NumPy, Pandas).
• Strong analytical and problem‑solving skills with a results‑oriented mindset.
• Familiarity with multiple programming paradigms (object-oriented, functional) and solid grasp of software design patterns.
• Dedication to quality through automated testing, code reviews, and CI/CD.

Responsibilities

• Utilize internal tools to manage AWS-based services.
• Integrate with RESTful and GRPC APIs.
• Contribute to unit and integration testing, and maintain and enhance CI/CD pipeline.

Skills

Python

Analytical thinking

Problem solving

Software design patterns

Automated testing

Education

Bachelor’s degree in Computer Science

Tools

AWS

NumPy

Pandas

REST APIs

GRPC

CI/CD

CloudWatch

IAM

ECS

Fargate

S3

Job description

T. Rowe Price is seeking a skilled engineer to design, develop, and implement applications across front-office and back-office domains.

You will work with Quants, Portfolio Managers, and Analysts to translate requirements into robust software solutions, with emphasis on automation, testing, and scalable architectures. The role offers a hybrid work arrangement in the US, with opportunities to influence strategic IT initiatives and improve performance across datasets and systems critical to