Senior Backend Engineer, Core APIs (SRE Focus)
Role Overview
Build and operate highly reliable backend systems at significant scale.
Develop core APIs and real-time data services where performance, availability, latency, and cost are critical.
Combine hands-on backend engineering with production Site Reliability Engineering ownership.
Own systems from technical design and implementation through deployment, incident response, and continuous optimization.
Key Skills for This Role
Full Job Posting
Role overview
Build and operate highly reliable backend systems at significant scale.
Develop core APIs and real-time data services where performance, availability, latency, and cost are critical.
Combine hands-on backend engineering with production Site Reliability Engineering ownership.
Own systems from technical design and implementation through deployment, incident response, and continuous optimization.
Workplace
- The team is fully remote and globally distributed, with asynchronous collaboration across a wide range of countries subject to local requirements.
- Employees must be authorized to work from their home location; visa sponsorship is not provided.
Accountabilities
- Design and optimize backend services for real-time data processing and web APIs.
- Define SLIs, SLOs, and error budgets for core API services.
- Build observability through metrics, logging, tracing, dashboards, and alerts.
- Participate in on-call rotations, incident response, and blameless post-incident reviews.
- Automate operational work, conduct capacity planning and load testing, and improve performance.
- Investigate production issues and translate findings into engineering improvements.
- Mentor engineers and improve technical and operational standards.
Requirements
- At least five years of backend software engineering experience operating production systems.
- Experience with formal SRE practices, including error budgets, capacity planning, readiness reviews, or resilience testing.
- Strong experience with Go and/or Node.js and scalable backend systems, APIs, microservices, and real-time data services.
- Production experience with Docker and Kubernetes or comparable technologies.
- Experience with Terraform or AWS CloudFormation and observability platforms such as Datadog.
- Production on-call, incident response, SQL, database, distributed systems, scalability, and performance engineering experience.
- Excellent English communication, independent ownership, cross-team collaboration, and interest in mentoring.
Compensation reference
- US-based employees have a cash compensation reference of $150,000-$200,000 yearly; ranges vary according to hiring location.
- Country-specific employment requirements and compensation structures may apply outside the United States.
Benefits
- Opportunity to work on high-scale backend and fraud-detection infrastructure.
- Exposure to Go, Node.js, TypeScript, AWS, Terraform, Docker, Kubernetes, Datadog, ClickHouse, and dbt.
- Flexible remote collaboration, technical development, experimentation, and knowledge sharing.
- Inclusive workplace focused on ownership, reliability, mentorship, and professional growth.
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