Staff Software Engineer, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and sustain AI agent governance functionalities across AI platforms such as Amazon Bedrock, Google Vertex AI, Microsoft Copilot, and Azure AI Foundry

• Quickly prototype and iterate on AI agent functionalities while assessing new frameworks, features, and industry best practices

• Utilize AI coding assistants and agentic development tools while ensuring clear requirements, modular design, observability, maintainability, and code quality

• Advance Identity Governance capabilities including certifications, lifecycle management, workflows, and Separation of Duties

• Improve existing functionality, enhance performance and scalability, and deliver incremental enterprise identity governance features

• Collaborate with Support and customer-facing teams to troubleshoot and resolve customer issues, enhance product reliability, and provide positive customer experiences

• Monitor AI agent performance, usage, operational health, and security across various platforms

• Work with platform, security, and product teams to implement secure AI solutions utilizing authentication, authorization, and least-privilege principles

• Implement logging, metrics, monitoring, and compliance for AI agents

• Assess emerging AI agent platforms, interoperability standards such as MCP and Agent-to-Agent communication, and governance technologies

• Document architecture, governance processes, operational procedures, and engineering best practices for AI agents

⛳️ Requirements

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience

• Over 8 years of experience in data engineering related software engineering roles

• Hands-on experience in data ingestion, data preparation, data processing, and scalable data pipelines

• Experience with Apache Spark, Apache Beam, or Apache Flink

• Strong understanding of data modeling and designing scalable data solutions

• Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch

• Experience designing, optimizing, and troubleshooting analytical queries

• Practical experience building and maintaining ETL pipelines and large-scale data processing solutions

• Familiarity with structured and unstructured data management concepts

• Good understanding of distributed data systems and data integration patterns

• Strong analytical, problem-solving, and communication skills

• Exposure to Identity Governance (IGA) concepts

• Experience building MCP servers and AI agents utilizing frameworks such as LangGraph and LlamaIndex

• Proficiency with AWS, Azure, or Google Cloud

• Experience with Docker and Kubernetes

• Familiarity with CI/CD pipelines and DevOps practices

• Experience developing enterprise-scale distributed systems

• Experience mentoring engineers and leading technical initiatives

🏝️ Benefits

• Flexible, collaborative work environment

• Employee Resource Groups

• Regular company and team bonding events

• Competitive benefits and perks

• Global volunteering and community initiatives

• Generous PTO & Holiday Schedule

• Parental Leave

• Progressive Healthcare Options

• Retirement Programs

• Opportunity for Education Reimbursement

• Commuter Offset (Specific locations)