Senior Cloud Data Platform Engineer/Architect

About Shoreline AI

Shoreline AI is a cutting-edge Industrial AI/IoT startup that offers a cloud-native, subscription-based SaaS solution aimed at optimizing asset performance and operational efficiency for industrial powertrains across critical sectors such as Oil & Gas and Manufacturing. Our product has been successfully deployed at major enterprise clients, allowing them to significantly reduce costly unplanned downtime and enhance site safety. The Shoreline platform features an industrial wireless sensor that is quick to install and captures vibration and environmental data. This data is uploaded to our cloud platform, which delivers AI/ML-driven insights paired with advanced visualization tools for industry experts. The platform also seamlessly integrates data from various sources, enabling deeper operational insights for engineers. Shoreline AI is headquartered in Campbell, California.

About the Role

We are seeking a talented Senior Cloud Data Platform Engineer/Architect to join our essential team. This position plays a pivotal role in developing and managing the data infrastructure that supports our innovative products and services. As part of a dedicated core team in the San Francisco Bay Area, you will have the opportunity to make a substantial impact. For best consideration, please include a tailored Cover Letter with your resume.

Must Haves

• Strong foundational knowledge in Computer Science and Software Engineering, particularly in Cloud Computing and Data Platforms.
• Deep understanding of cloud computing concepts including architecture and technologies for storage (e.g., object storage, SQL, and NoSQL databases) and computing (containers, virtual machines, FaaS, workflow orchestration, etc.).
• Experience with AI tools such as Claude Code, using them effectively throughout the software development life cycle (SDLC), including requirements gathering, design, coding, testing, deployment, and operation.
• A proactive platform-builder mindset, with experience in creating APIs and tools that enhance productivity for developers and data scientists.
• Willingness to work from our office located in Campbell, California.
• Authorized to work in the US (US Citizen/Green Card). We will consider H1-B transfers for exceptional candidates, but cannot support new H1-B applications.

Responsibilities

• Design, implement, and maintain a scalable and secure data lake for structured and semi-structured data, ensuring flexible data governance and secure access for Data Scientists and Software Developers.
• Build a comprehensive Data API on top of the Data Lake Platform to facilitate easy programmatic access for developers in processing, analyzing, and visualizing data.
• Create robust data pipelines to ingest, clean, and transform data from multiple sources.
• Develop strategies for the seamless creation and deployment of containerized applications.
• Develop and maintain internal tools and frameworks for data ingestion using Python and SQL.
• Monitor the performance of data pipelines and cloud infrastructure to ensure availability, low latency, and data integrity.
• Collaborate across teams to define data models, contracts, schemas, access controls, and retention policies.
• Adopt software development and deployment best practices including CI/CD, Infrastructure-as-Code (IaC), and automated testing.
• Stay updated and adapt to new cloud technologies and development best practices.
• Maintain a strong customer-first attitude, ensuring that all technical solutions prioritize customer satisfaction.
• Engage in architecture, design, and code reviews, upholding high standards of quality, testing, documentation, and security compliance.

Desired Skills

• 5+ years of experience in architecting, designing, and implementing cloud solutions on AWS.
• Experience with real-time or batch data ingestion at scale and designing fault-tolerant ETL/ELT pipelines.
• Familiarity with event-driven architectures and messaging systems like Kafka or Kinesis.
• Hands-on experience with AWS services such as S3, Lambda, API Gateway, Glue, Kinesis, Athena, and RDS.
• Previous experience in building data platforms with technologies like Apache Iceberg, Trino, Apache Spark, Kafka, Parquet, etc.
• Excellent collaboration and communication skills, with the ability to work effectively with remote teams.

Pay range and compensation package

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Equal Opportunity Statement

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