Senior Data Engineer, Sentinel (Pacific Time Zone)

Responsibilities

• Build, operate, and improve cloud infrastructure (AWS) based on customer requirements for 150+ client organizations
• Design, architect, and implement systems supporting data processing tasks (metadata, configuration, data pipeline inputs)
• Develop and contribute to monitoring and alerting systems for Platform infrastructure
• Harden infrastructure security including network, storage, and user access
• Respond to and resolve customer-reported issues in a timely manner
• Participate in on-call rotation
• Lead development of improvements to data infrastructure, pipeline automation, codebase quality, and data quality
• Participate in development, execution, and support of new feature rollouts with solution architects, forward-deployed engineers, and customer success teams
• Spearhead adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC

Requirements

• Proficiency in Python with deep technical troubleshooting skills and extensive experience building backend APIs and microservices
• Expert-level knowledge of AWS core services and ability to architect scalable solutions from high-level requirements
• Proficiency in Terraform/Scalr and experience building robust CI/CD pipelines using GitHub Actions
• Solid understanding of networking fundamentals (subnets, CIDR, VPCs) for secure, global application accessibility
• Knowledge of big-data tools and workflow orchestrators such as Snowflake, Databricks, Airflow, Temporal
• Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance productivity
• Proactive team player with excellent cross-team communication skills and proven track record of driving complex projects to completion

Nice-to-Haves

• AWS Cloud Infrastructure certification
• Experience with data privacy concerns such as HIPAA or GDPR
• Experience working with cross-functional and customer-facing teams