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This role is for one of the Weekday's clients
Min Experience: 1 years
Location: USA
JobType: 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.
Requirements
Key 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
What Makes You a Great Fit
- 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