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ExecutivePlacements.com · 5 hours ago

Senior Backend Software Engineer

United States

Full-time

Remote

Mid, Senior Level

3+ years exp

Spring Labs is building a unified platform for workflow automation in financial services. They are seeking a Senior Backend Engineer to design, build, and operate backend services and APIs, while managing data ingestion and processing pipelines for large datasets.

Human ResourcesOnline PortalsRecruiting

Responsibilities

Design, build, and operate backend services and APIs that power Spring Labs’ core platform

Own data ingestion and processing pipelines (batch + real-time) for large, messy, multi-source datasets

Productionize machine-learning workflows by integrating models into backend systems with clear contracts, monitoring, and rollback paths

Design and maintain scalable service architectures (APIs, workers, queues, schedulers)

Improve system reliability through better testing, observability, error handling, and automation

Partner closely with data science to turn experiments into durable, production-grade systems

Influence architecture decisions and set backend engineering standards as the platform scales

Qualification

PythonRESTful APIsData pipelinesDistributed systemsEvent-driven systemsMachine learning integrationEngineering judgmentAI-assisted coding toolsDatabase familiarity

Required

3+ years of professional software engineering experience, with a strong backend focus

Strong proficiency in Python; experience with distributed systems is a plus

Hands-on experience designing and maintaining RESTful APIs and backend services

Experience working with data pipelines and processing frameworks

Exposure to event-driven systems, queues, or workflow engines

Comfortable deploying and operating services in production (monitoring, debugging, scaling)

Familiarity with databases (relational and/or NoSQL) and data modeling

Experience integrating ML/LM models into production systems

Strong engineering judgment—knows when to build, refactor, or simplify

Comfortable using AI-assisted and agentic coding tools as a force multiplier —to accelerate development, improve code quality, and explore solutions faster, while maintaining strong engineering judgment and ownership of the final output