Python Developer

This role is for one of the Weekday's clients

Min

Experience:

1 years

Location:

USA

Job Type: full-time

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.

• 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

• 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