Lead Software Engineer

Responsibilities:

• Produce quality, tested code
• Advocate for coding standards and best practices
• Troubleshoot and debug large-scale systems for a user base of 180,000+
• Validate designs by building performance and load-testing tools
• Measure, optimize, and redesign legacy monolith production systems
• Work cross-functionally to design services and APIs that enable feature work across our engineering organization
• Participate in daily code reviews
• Lead technical planning activities and document architectural technical decisions
• Provide mentorship and instruction to other engineers on the team.***Telecommuting available
• Occasional domestic travel (3-4 times per year) for work meetings and other special company events

Requirements:

• Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems or a closely related field
• 6 years of professional software engineering experience
• Additionally, we require any amount of experience in all of the following: Backend programming languages such as PHP, Python, C# or Java
• Scripting programming languages such as Javascript, JQuery, React, or TypeScript
• Leadership experience with a demonstrated history of leading cross-functional projects from concept to completion
• Elevating team performance, enhancing team development practices, and championing operational efficiency improvements
• Formulating test strategies, composing automated test suites, or implementing automated testing frameworks
• Subject matter expertise working in large-scale, distributed systems
• Working in an Agile development methodology
• Providing 24x7 support as a service owner in the team’s rotational, weeklong on-call rotation
• Experience with relational databases such as MySQL, MS SQL or Posgres
• Experience delivering highly scalable, containerized services hosted in AWS or Kubernetes
• Experience implementing CI/CD and managing infrastructure as code
• Enterprise integration patterns and asynchronous communication
• Understanding of Object Oriented Programming concepts and principles
• Measuring, optimizing, and re-architect production systems
• Building solutions using modern secure development techniques such as Oauth 2.0 or MTLS
• Developing data storage solutions that maintains GDPR compliance

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