Distributed Systems Engineer

Responsibilities

• Develop and enhance customer-facing APIs focusing on performance, reliability, and intuitive user experience.
• Design, build, and maintain near real-time alerting platform, from data processing and anomaly detection to reliable notification delivery.
• Optimize performance of complex analytical queries powering APIs and dashboards, collaborating with the database platform team.
• Create intuitive tools for customers to explore data and configure alerts based on logs and metrics.
• Scale API and alerting infrastructure to support growing internal and external use cases.
• Collaborate with front-end engineers and product managers to define API contracts and deliver seamless data experience.
• Ensure operational health of APIs and alerting systems through monitoring and on-call rotation (with flexibility outside standard hours).

Key Qualifications

• 3+ years experience in software development covering distributed systems and scalable APIs.
• Strong programming skills (Go preferred) with best practices for performant, customer-facing services.
• Hands-on experience with observability stacks including Prometheus, Grafana, and handling high-cardinality metrics at scale.
• Strong SQL knowledge with extensive complex query optimization experience.
• Solid computer science foundation in algorithms, data structures, distributed systems, and concurrency.
• Strong analytical and problem-solving skills, willingness to debug and troubleshoot at high scale.
• Ability to collaborate in a team and communicate effectively across teams.

Nice-to-Haves

• Experience developing and scaling APIs, particularly GraphQL.
• Experience with data streaming technologies (e.g., Kafka, Flink) for real-time processing.
• Experience with Infrastructure as Code tools like SALT or Terraform.
• Experience with Linux container technologies such as Docker and Kubernetes.