Staff Software Engineer

Applied Systems builds cloud software and AI-powered solutions for the global insurance industry. The Staff Software Engineer will set technical direction for data pipelines and infrastructure powering the customer-facing Data Lake, solve complex data engineering challenges, and lead the delivery, scaling, and technical governance of data platform solutions.

Responsibilities:

• Lead the design and implementation of sophisticated and reliable data pipelines, encompassing extraction, transformation, and data ingestion processes, while ensuring alignment with our product vision and impact across the customer-facing Data Lake
• Own the development of strategic projects from initial conception to completion, delivering large features and improvements with minimal guidance, and providing leadership across multiple projects and teams
• Utilize tools like Debezium, GCP stack (including Pub/Sub and Dataflow), BigQuery, and SQL for managing and processing large scale customer data across various data sources, driving the innovation and optimization of the data services that power AI and other data products
• Define and enforce engineering standards across the team: code review norms, testing strategy, reusable frameworks, and CI/CD practices
• Author high quality code that adheres to internal standards for style, maintainability, and best practices, while leading by example in solving technical problems of the highest scope and complexity
• Mentor engineers across the team through design review, pair programming, and structured technical feedback, coordinating the efforts of cross-functional teams and fostering a culture of innovation and learning
• Partner directly with Engineering, Product, and business leadership to translate ambiguous business problems into technical requirements
• Identify systemic problems no one has asked you to fix, and build the case for addressing them
• Evaluate emerging technologies and contribute to the technical roadmap for the data platform

Requirements:

• 10+ years of software engineering experience, including 3+ years' operating at a senior or lead level with demonstrated technical influence beyond your immediate team
• Expert-level proficiency in Python, Golang, SQL, and deep experience with the GCP data and ETL stack (Debezium, Pub/Sub, Dataflow, BigQuery) or equivalent technologies, including deep BigQuery expertise (partitioning and clustering strategy, query performance tuning, and cost optimization at scale)
• Proven track record architecting, building, and scaling RESTful services and APIs on Google Cloud serving multiple consuming teams
• Deep understanding of Agile frameworks, ideally Scrum, and tools like Jira and Confluence
• Exceptional written and verbal communication skills, including design documents that create alignment among senior stakeholders
• Demonstrated ability to influence without authority — driving technical decisions across teams that don't report to you
• Track record of mentoring engineers to promotion
• Strong technical abilities, troubleshooting skills, and research capabilities, with the judgment to know when to depart from established patterns
• Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience