Software Reliability Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Reliability Engineer in United States.

As a Software Reliability Engineer, you’ll play a crucial role in ensuring system stability, rapid issue resolution, and platform resilience across large-scale distributed systems. This role goes beyond traditional DevOps or infrastructure tasks — you’ll dive directly into live systems, diagnosing complex incidents, identifying root causes, and preventing recurrences. Working closely with cross-functional teams, you will strengthen reliability across applications that impact millions of users. This position offers a highly collaborative environment, where your technical insight and problem-solving skills directly protect uptime, customer trust, and overall business continuity.

Accountabilities

·         Lead incident response efforts to quickly diagnose and resolve issues in distributed production environments.

·         Use observability and monitoring tools (such as Dynatrace and Azure Application Insights) to identify root causes and validate resolutions.

·         Collaborate with engineers across APIs, microservices, and data layers to stabilize live systems and prevent future disruptions.

·         Write and run targeted automated tests using tools like Jest, Cypress, or Playwright to confirm issue resolution and improve reliability.

·         Communicate root causes and fixes effectively to both technical and non-technical stakeholders.

·         Partner with platform and DevOps teams to enhance monitoring, alerting, and deployment workflows.

·         Participate in on-call rotations for high-priority production incidents and contribute to continuous improvement of reliability practices.

·         Minimum 2 years of experience in software engineering, production support, or incident response.

·         Strong proficiency in JavaScript/TypeScript with the ability to debug live applications and services.

·         Solid understanding of SQL and NoSQL databases for tracing and troubleshooting data issues.

·         Experience working within Azure or GCP cloud environments.

·         Proven success stabilizing distributed or microservice-based architectures.

·         Excellent communication and problem-solving skills, with the ability to clearly articulate findings.

·         Preferred: experience managing P0/P1 incidents, knowledge of observability tools (Dynatrace, Datadog, or OpenTelemetry), and familiarity with event-driven architectures or message queues.