Principal Software Engineer - Remote

About the Role

Key Responsibilities

• Architect & Develop Scalable Data Platforms: Design and build high-performance, cloud-native data architectures for AI/ML, analytics, and business intelligence
• AI Agents: Design and build AI Agents in multiple cloud environments, review AI models and designs and offer solutions to solve related problems
• Reusable frameworks: Build reusable offerings and services that are scalable, resilient and secure for the enterprise users in Kubernetes, Docker, Azure Functions et al
• Data Lakehouse & Open Standards: Drive the adoption of open table formats (Apache Iceberg, Delta Lake, Hudi) to create a scalable, vendor-agnostic data lakehouse architecture
• Cloud & Distributed Systems: Build resilient and scalable data solutions on AWS, Azure, or GCP, leveraging Databricks, Snowflake, and Kubernetes
• Data Governance & Security: Implement best practices for data governance, lineage, observability, and security in regulated environments (e.g., healthcare, finance)
• Performance Optimization: Continuously improve the efficiency, reliability, and scalability of data pipelines, query engines, and AI workloads
• Technical Leadership & Mentorship: Provide technical guidance to engineers, review architecture designs, and contribute to open-source initiatives when applicable

Requirements

• 10+ years of experience in data engineering, data platforms, or streaming architectures, with at least 3+ years in a principal or lead engineering role
• 5+ years of experience with Python, Scala, Java, or Go, and familiarity with SQL, Spark, and Flink
• 3+ years of experience with data pipelines, data management and data security
• 2+ years of experience with Databricks, Snowflake, and open data lake formats (Iceberg, Delta, Hudi)
• 2+ years of experience with distributed systems, data modelling, and cloud computing (AWS, Azure, GCP)

Nice to Have

• Bachelor's degree in Software Engineering, Computer Science or related field
• 2+ years of experience with data governance practices
• 2+ years of experience with tools such as Jupyter, PyTorch, and GitHub Copilot. Familiarity with LLMs such as GPT, Gemini, Llama and Claude
• 2+ years of experience with LangChain, AutoGen, Crew AI and frameworks such as Hugging Face

Qualifications

• Experience with data engineering, data platforms, or streaming architectures
• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience with data security and management

Benefits & Perks

• Competitive salary range from $132,200 to $226,600 annually
• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase and 401k contribution
• Remote work flexibility within the U.S.