Backend Software Engineer - Python & Pipeline Orchestration (Cloud / AI Platform)Bayside Solutions • United States
Backend Software Engineer - Python & Pipeline Orchestration (Cloud / AI Platform)
Bayside Solutions
- United States
- United States
About
Pay Rate:
$55 - $65 per hour
Location:
Cupertino, CA - Remote Role
Job Summary We are seeking a highly skilled Backend Software Engineer to join our platform engineering team focused on building scalable data and machine learning pipeline orchestration services within our internal cloud ecosystem. This role sits at the intersection of backend engineering, data platforms, and infrastructure, enabling teams to develop, deploy, and manage end-to-end pipelines across a multi-cloud environment.
Duties and Responsibilities
Design, build, and maintain backend services and APIs for pipeline orchestration using Python
Develop and manage end-to-end workflows for data ingestion, data processing and transformation, machine learning training and evaluation, and model deployment and lifecycle management
Build scalable and reliable orchestration systems that integrate with internal data and AI platforms.
Collaborate with cross-functional teams to enable seamless pipeline execution across services.
Ensure system performance, scalability, and reliability in a distributed, multi-cloud environment (AWS, GCP)
Troubleshoot production issues across application, pipeline, and infrastructure layers
Contribute to system design and architecture decisions for next-generation AI and data platforms.
Requirements and Qualifications
Strong backend engineering experience with Python (required)
Experience building APIs and services using frameworks such as Flask, FastAPI, or gRPC
Hands‑on experience working with data pipelines or machine learning pipelines
Solid understanding of Workflow orchestration concepts, distributed systems, and API design and service architecture
Familiarity with Kubernetes and containerized environments
Basic understanding of pods, deployments, and services
Experience deploying or operating applications in Kubernetes environments
Experience working in cloud environments (AWS, GCP, or similar)
Preferred Qualifications
Experience with orchestration tools such as Apache Airflow or Flyte
Exposure to ML lifecycle workflows (training, evaluation, deployment)
Experience with multi‑cloud or hybrid cloud architectures
Familiarity with data platforms, feature stores, or model serving systems
Strong debugging and troubleshooting skills across logs, monitoring, and distributed systems
Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.
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Languages
- English
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