Senior Python Engineer - Hybrid DC, Cloud-Native AI

Peregrine Advisors; Washington (District of Columbia); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Sponsored training and professional发展

Job summary

Peregrine Advisors is a federal-focused innovator seeking top software engineers to own and deliver modern cloud-based solutions. Expect ownership of features from refinement to production, serverless workflows on AWS, and integration of COTS into our in-house frameworks.

You will contribute to API interconnections and data pipelines that automate what used to be manual and paper-based processes. The role emphasizes adaptability, learning new concepts, and delivering high-value, auditable

Qualifications

• 7+ years of software development experience.
• Expert-level command of Python.
• Strong hands-on experience with cloud-native development on AWS.
• Proficiency with CI/CD, automated testing, and secure coding.
• Ability to design components and carry them through to production.
• Proficient in writing, PowerPoint, and Excel.

Responsibilities

• Lead feature work on an AWS cloud-native stack from refinement to production.
• Direct serverless, event-driven workflows on Lambda and Step Functions.
• Define how COTS products integrate into in-house frameworks.
• Design and ship critical API interconnections and data pipelines.
• Collaborate across teams to ensure robust, auditable outcomes.

Skills

Python

AWS

CI/CD

Automated testing

Secure coding

System design

PowerPoint

Job description

Peregrine Advisors is a federal-focused innovator seeking top software engineers to own and deliver modern cloud-based solutions. Expect ownership of features from refinement to production, serverless workflows on AWS, and integration of COTS into our in-house frameworks.

You will contribute to API interconnections and data pipelines that automate what used to be manual and paper-based processes. The role emphasizes adaptability, learning new concepts, and delivering high-value, auditable