Senior Lead Software Engineer

Responsibilities

• Design, develop, debug, troubleshoot, and maintain secure, high-quality production software solutions.
• Define architecture for complex deliverables and maintain algorithms that integrate with appropriate systems.
• Build and optimize data pipelines, process large datasets, and create visualizations and reporting for continuous improvement.
• Configure and optimize Spark clusters and deploy machine learning models using Databricks.
• Drive adoption of AI-assisted engineering practices, validation standards, automation reuse, and software development lifecycle improvements.
• Lead AI/ML delivery and software engineering best practices across teams.
• Identify data patterns and hidden problems to improve coding hygiene, system architecture, and operational outcomes.

Requirements

• Formal software engineering training or certification with 5+ years of applied experience.
• 2+ years of experience leading technologists in managing and solving complex technical work.
• Hands-on experience with system design, application development, testing, debugging, and operational stability.
• Experience developing and maintaining software in a large corporate environment using modern programming and database querying languages.
• Hands-on experience using enterprise-authorized AI-assisted software development tools and validating their outputs for correctness, performance, and security.
• Knowledge of CI/CD, application resiliency, security, machine learning modeling, data pipelines, and big data engineering.
• Strong SQL skills for validating features and data quality at scale.
• Experience configuring and optimizing Spark clusters and working with AWS services including EMR, EC2, S3, and CloudWatch.
• Working knowledge of Databricks for data pipelines and machine learning model deployment.
• Preferred: expertise with Java and Python, AWS and Databricks, high-volume Spring Boot APIs, Python libraries such as Pandas and NumPy, AWS certification, Apache Airflow, and modern LLM techniques.

Benefits

• Competitive total rewards package with benefits determined by eligibility, including comprehensive health care, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Eligible roles may receive commission-based pay or discretionary incentive compensation in cash and/or forfeitable equity.
• Equal opportunity employer offering reasonable accommodations for religious practices, mental health needs, and physical disabilities.