Note: The job is a remote job and is open to candidates in USA. Bayside Solutions is recruiting for an unnamed client seeking a Backend Software Engineer to build and maintain Python-based pipeline orchestration services. The role supports data and machine learning workflows across a multi-cloud platform, including pipeline development, system reliability, troubleshooting, and platform architecture.
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, 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, Google Cloud Platform)
- Troubleshoot production issues across application, pipeline, and infrastructure layers
- Contribute to system design and architecture decisions for next-generation AI and data platforms
Skills
- 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, 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
- Candidates for this position must qualify as a W2 candidate
- 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
Benefits
- Remote role
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