Staff Software Engineer- Risk Platform

Aledade, Inc. is seeking a Staff Software Engineer to build the next generation of distributed data storage and processing systems. This role involves developing scalable solutions, mentoring engineers, and setting engineering standards to support high-quality engineering processes.

Responsibilities:

• Identify and develop scalable and performant solutions
• Work across discipline to shape product strategy and execution
• Develop the foundations of code architecture and quality
• Mentor and coach engineers
• Set and uphold the standard for engineering processes to support high-quality engineering

Requirements:

• BS/BTech (or higher) in Computer Science, Engineering or a related field required
• 8+ years of production-level experience as an engineer building highly scalable systems
• 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
• 4+ years of experience working with SQL or other database querying languages on large multi-table data sets
• Experience architecting, developing, and deploying large-scale distributed systems at scale
• Experience with cloud technologies, e.g., AWS, Azure, GCP
• Experience building continuous integration and continuous development (CI/CD) pipelines
• Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
• 8+ years of production-level experience as an engineer building highly scalable and reliable infrastructure
• Experience in designing, building and optimizing data pipelines and ETL processes
• Proficiency in working with large datasets and knowledge of data storage technologies
• Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
• Experience working with AWS technologies, Kafka etc
• 6+ years of experience working with CSS/HTML/Javascript and modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• In-depth knowledge of database systems
• Familiarity with database replication, sharding and other techniques for scalability and high availability of databases
• Experience in performance monitoring and optimization of data systems and infrastructure
• Experience with containerization and orchestration technologies such as Docker and Kubernetes
• Experience building continuous integration and continuous deployment(CI/CD) pipelines
• Experience with security and systems that handle sensitive data
• Knowledge of data security principles and ensuring compliance with regulations (e.g., GDPR, HIPAA) through proper data governance practices
• Lead and mentor junior engineers, providing guidance and support in their professional development