Backend Software Engineer - Python & Pipeline Orchestration (Cloud / AI Platform)

Bayside Solutions; Cupertino (CA); On-site; USD 75,768 - 89,544; Full time

Job summary

A technology solutions firm is seeking a highly skilled Backend Software Engineer to join their team in Cupertino, CA. In this role, you will work on building scalable data and machine learning pipeline orchestration services, ensuring high performance and reliability in a multi-cloud environment. Candidates should have strong experience in Python, API building, and cloud deployments. Familiarity with Kubernetes and orchestration tools like Apache Airflow is preferred. This is a W2 contract position offering competitive hourly pay.

Qualifications

• Strong backend engineering experience with Python is required.
• Experience building APIs and services using frameworks like Flask, FastAPI, or gRPC.
• Hands-on experience with data pipelines or machine learning pipelines.

Responsibilities

• Design, build, and maintain backend services and APIs for pipeline orchestration using Python.
• Develop and manage workflows for data ingestion, processing, and model deployment.
• Ensure system performance and reliability in a multi-cloud environment.

Skills

Backend engineering experience with Python

Building APIs and services

Data pipelines or machine learning pipelines

Workflow orchestration concepts

Kubernetes

Tools

Flask

FastAPI

gRPC

Job description

W2 Contract

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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