Staff Software Engineer, Tech Foundations
Jobgether · US
Publicada há 9 horas
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Tech Foundations based in the United States.
As a Staff Software Engineer, you will shape the technical direction of a large-scale Observability platform supporting critical production systems. You will lead the design, development, and operation of distributed infrastructure that processes millions of telemetry events every second. Working across metrics, logs, and distributed tracing, you will help engineering teams gain deeper insights into system performance, reliability, and operational costs. You will also contribute to building AI-ready observability capabilities, enabling autonomous agents to access operational data safely and efficiently. In this highly collaborative environment, you will influence architectural decisions, mentor engineers, and drive innovation across infrastructure teams. This is an opportunity to solve complex technical challenges while improving developer productivity and system resilience at global scale.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
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