Staff Software Engineer

Applied Systems, Inc.•,

7d•$175,000•Remote

About The Position

Applied builds cloud software and AI-powered solutions that are reinventing how the global insurance industry operates. We are looking for a Staff Software Engineer to join our Technology – Reporting and Analytics team. This role involves setting technical direction for the data pipelines and infrastructure that power our customer-facing Data Lake platform across a wide variety of customer data sources and AI-driven and other data products. This is an individual contributor role with organization-wide influence: you will solve our hardest data engineering problems and raise the bar for how the team builds, operates, and scales its infrastructure. As a Staff Software Engineer, you will collaborate with Architects, Product Owners, and Scrum team members to engineer and deliver high-quality technical solutions. You'll play a pivotal role in transforming and orchestrating massive data sets, creating impactful solutions that drive innovation and efficiency for our clients' businesses.

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

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