Sr. Software Engineer

Riverside Insights is dedicated to empowering educators with data-driven assessment tools, and they are seeking a Sr. Software Engineer to enhance their Data Manager platform. The role involves designing, building, and operating scalable software services while providing technical leadership and mentoring within the engineering team.

Responsibilities:

• Analyze, estimate, design, and implement application functionality in collaboration with engineering and product leaders
• Build observable, scalable applications and services and support their operation in production
• Coach and mentor teammates and partner with cross-functional colleagues
• Ensure high code quality using best practices including unit and integration testing
• Partner with product management to evaluate tradeoffs, propose solutions, and gather early feedback
• Support modernization of legacy applications to interoperate with cloud-based, testable service boundaries
• Participate in incident response and root-cause analysis to improve system reliability and prevent recurrence
• Provide technical guidance and code review leadership across teams to ensure consistent engineering standards and architectural practices
• Ensure systems meet security, privacy, and compliance standards appropriate for educational assessment platforms

Requirements:

• Mastery in .NET Full Framework C# MVC applications and experience modernizing legacy applications for cloud environments
• Experience developing native AWS applications and services using serverless, distributed, event-driven, or cost-effective scalable techniques
• Experience with SQL Server and/or Oracle
• Experience with Python and/or Node.js/Typescript a plus
• DevOps mindset with focus on observability, scalability, and high-quality service design
• Strong time management skills with the ability to balance multiple tasks and priorities
• Clear and effective communication skills with ability to set expectations and give direct feedback
• Experience implementing monitoring, logging, and observability solutions to support production systems
• Experience leading engineering teams of varying sizes and configurations
• Experience supporting production systems using modern monitoring and reliability tools
• Experience modernizing large monolithic applications or legacy enterprise systems