About the role:
- Driving development and improvement of Hearsay functionality, APIs and databases across Engineering to enable various teams’ success
- Owning large parts of critical codebases and becoming a domain expert for your team
- Working with engineers, product owners, and UI/UX designers to consistently deliver updates and improvements in a continuous release cadence
- Thoughtfully scaling systems to respond quickly to sustained usage growth
- Maximizing the value delivered by driving best practices across our technology and team processes
- Opportunities to travel a few times a year to meet with coworkers in various locations in North America
About you:
- 4+ years of software development experience with big data processing systems or online services
- Advanced proficiency in at least one programming language (JavaScript, Python, Kotlin, etc)
- Extensive experience working across the technical stack, developing modern web apps, and building systems that scale
- Familiar with AWS and its key services or deep understanding of equivalent industry tools
- Dedication toward building stable, reliable, and resilient software
- Openness to diverse perspectives and collaboration with varied approaches
- Confidence in sharing your knowledge in group settings and participating in healthy debate
- Ability to handle open ended problems and ambiguity
What your typical day might look like:
- Commit code for a Python based web application using Django, Javascript, React, and other web related technologies
- Implement a new feature with accompanying unit, integration, and end to end testing to validate functionality
- Debug an issue across a wide range of AWS tooling, including EKS, EC2, S3, SQS, EventBridge, DynamoDb to own and solve problems end to end
- Review code in GitHub or pair program in a Slack Huddle to upskill team members and maintain quality standards
- Join Zoom calls for various agile ceremonies such as sprint plannings, backlog refinements, board replenishments or similar to incrementally deliver solutions in fixed intervals.
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