Mid-Level Backend Engineer – Event-Driven SaaS Platform
T
TruelogicSecondary ticketing
Location: LatAm; Workplace: Remote, across US time zonesFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Advanced English communication skills
- Experience
- 3+ years of professional backend software engineering experience.
- Required Skills
- Microsoft SQL ServerC#AzureGrafanaRESTful APIsDistributed Systems
Requirements
- Have 3+ years of professional backend software engineering experience.
- Demonstrate strong proficiency in C# and .NET 8+.
- Have relational database experience with T-SQL, schema design, and query performance optimization in SQL Server.
- Have experience owning features across their lifecycle, including automated testing, telemetry setup, and production support.
- Have hands-on experience deploying and managing backend services on a cloud platform; Azure is strongly preferred, with AWS or GCP acceptable.
- Understand distributed systems concepts, including multi-tenant architectures, asynchronous messaging, and event-driven architecture (pub/sub).
- Have advanced English communication skills and a collaborative, feedback-oriented approach to working across US time zones.
- Experience with Azure Service Bus, Application Insights, and Log Analytics (KQL) is a plus.
- Experience configuring Grafana dashboards and PagerDuty incident response is preferred.
- Be willing to assist with CI/CD pipelines or light frontend tasks as needed.
Responsibilities
- Design, develop, and maintain high-throughput backend services and public REST APIs on a multi-tenant cloud platform.
- Implement end-to-end observability using structured logging, custom metrics, and Grafana or PagerDuty alerting.
- Write unit and integration tests and own features through deployment and post-release support.
- Partner with Product Management and US-based Engineering Leadership to translate business requirements into technical designs.
- Participate in peer code reviews, architecture discussions, and workflow improvements.
- Monitor service health and respond to automated production alerts for time-sensitive workloads.
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