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Back End Developer - Python at Nir Yu
Mexico, New York, United States -
Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Flask, FastAPI, Java, Spring Boot, Google Cloud Platform, GKE, Pub/Sub, BigQuery, Data-Driven Design, Test-Driven Development, Spark, Kafka, Data Warehousing, CI/CD, Monitoring

Industry

Staffing and Recruiting

Description
Responsibilities: Develop and maintain critical backend services and APIs, primarily using Python (e.g., Flask, FastAPI). Support, maintain, and contribute to existing Java-based services and libraries (e.g., Spring Boot), demonstrating polyglot flexibility. Architect cloud-native solutions that are built to run on Google Cloud Platform (GCP), leveraging GKE, Pub/Sub, and BigQuery. Design and optimize data-intensive applications that interface with large-scale data stores, including BigQuery. Lead technical design discussions, write detailed design documents, and mentor junior engineers on the team. Drive continuous improvements in system architecture, reliability, performance, and CI/CD processes. Own services end-to-end, including monitoring (DataDog, etc.), setting SLOs, and participating in on-call rotations. Requirements: 5+ years of professional backend engineering experience. Expert-level proficiency in Python for backend development and data-intensive applications. Professional experience with Java (e.g., Spring Boot) and a willingness to work in a polyglot environment. Proven, deep hands-on experience designing and operating solutions on Google Cloud Platform (GCP), with production expertise in Google Kubernetes Engine (GKE), BigQuery, and Pub/Sub. Experience with event-driven architectures, DDD, and TDD. Experience with big data technologies (Spark, Kafka) and integrating ML models is a strong plus. Experience with large-scale data stores, including relational databases and data warehouses like BigQuery. A strong sense of ownership and a drive for technical excellence. Experience leveraging modern IDEs and AI-assisted development tools (e.g., Cursor, GitHub Copilot) to accelerate development cycles.
Responsibilities
Develop and maintain backend services and APIs primarily using Python. Lead technical design discussions and mentor junior engineers.