The company is looking to improve system reliability, set up monitoring solutions, and optimize backend API performance.
Requirements
- 5+ years of experience in Python development
- Strong expertise in SRE principles and best practices
- Hands-on experience with AWS Lambda, DynamoDB, and Splunk
- Proven ability to set up monitoring and logging solutions (Splunk, Honeycomb, etc.)
- Experience with backend API performance optimization
- Experience with AWS services beyond Lambda and DynamoDB
- Familiarity with GraphQL
Responsibilities
- Develop and maintain Python Lambda APIs
- Manage and optimize DynamoDB performance
- Troubleshoot and resolve Splunk log issues
- Conduct performance investigations and ensure system reliability
- Set up and maintain Splunk dashboards to track backend API usage
- Implement Honeycomb monitoring for performance and observability
- Lead end-to-end testing for backend services
Other
- Comfortable working independently in a high-paced environment
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
