Responsibilities
- Design and develop services to scale to massive customer accounts in the cloud
- Design and develop the service to scale to massive customer accounts in the cloud
- Develop functional specifications and design documents by collaborating with stakeholders
- Write high quality, well documented, and well-tested code
- Participate in code and design reviews
- Design, build, test, and operate highly scalable, highly available, cost-effective, mission-critical services
- Build roadmaps and goals in partnership with engineering and product teams
- Work cross-functionally with other Engineering, Product Management, Support, Sales teams as well as Customers
- Inform strategic build-vs-buy decisions
- Demonstrate good communication skills and present work to company leadership and at company-wide events
- Help recruit other Engineers
- Actively participate in recruiting other Engineers
- Mentor less experienced Engineers
Minimum Qualifications
- Bachelor’s degree in Computer Science or related, relevant field
- Solid foundation in Computer science fundamentals
- 7+ years of relevant experience
- Implemented scalable microservices using languages like Java/Go/Rust. Python experience would be beneficial
Preferred Qualifications
- Designed and implemented high volume, mission-critical, distributed services in the Cloud (AWS, GCP, Azure)
- Used at scale or contributed to the development of the following types of distributed systems - messages brokers (Kafka, SQS), API and application servers (REST, GRPC), data ingestion and transformation using concurrent and parallel programs, control plane services (auto scalers, task schedulers, workflow orchestrators), observability stack (metrics, logs)
- Built, tested and operated mission critical services and demonstrated service ownership by continuous improvement of services; considering performance, cost and efficiency; being on-call for their services
Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.