Python Developer

Weekday AI•New York, NY

2d•Remote

About The Position

This role is for one of the Weekday's clients We are looking for a Software Engineer, Pipelines to help build and scale a next-generation streaming data platform in a remote-first USA environment. As a core contributor in an early-stage, fast-paced setting, you will play a foundational role in designing, implementing, and evolving high-performance, distributed data systems from the ground up. This is a “0 to 1” engineering opportunity where you will collaborate closely with the founding team to architect scalable streaming infrastructure, optimize data processing systems, and ensure reliability across modern cloud-native environments. You will take ownership not just of writing software, but of running and improving production services, contributing directly to performance, scalability, and operational excellence.

Requirements

Strong proficiency in both Golang and Python with a track record of building scalable, high-performance systems
Experience with distributed worker frameworks such as Temporal, Celery, or similar orchestration systems
Deep understanding of SQL databases, query optimization, indexing strategies, and database design principles
Experience building and operating distributed systems in Kubernetes-based environments
Ability to balance engineering quality with pragmatic execution in a startup setting
Strong ownership mindset — you build it, you run it
Commitment to clean code, automated testing, and comprehensive documentation
Comfortable working autonomously while collaborating effectively with cross-functional teams
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
Curiosity and drive to continuously learn and apply emerging technologies to enhance platform capabilities

Responsibilities

Collaborate with founding engineers and product leaders to design and deliver a high-impact streaming data platform
Architect, implement, test, debug, and optimize components for streaming data processing and storage
Build and maintain distributed microservices running in Kubernetes across cloud and on-prem environments
Develop backend systems primarily in Go and Python
Design scalable data pipelines that handle high-throughput, low-latency workloads
Work with distributed databases and open-source data storage technologies
Optimize SQL queries and database schemas for performance and scalability
Contribute to hybrid SaaS architectures, including deployments within customer-owned cloud environments
Participate in on-call rotations and proactively monitor, troubleshoot, and enhance production services
Continuously evaluate and adopt technologies that improve platform performance and reliability