Senior Software Engineer (Distributed Systems)

TL;DR

Senior Software Engineer (Distributed Systems): Building and scaling high-throughput data ingestion and processing pipelines for an AI-powered observability platform with an accent on petabyte-scale telemetry and distributed system reliability. Focus on developing performance-critical components in Go and C++, driving OpenTelemetry contributions, and architecting low-latency solutions for AWS and Azure.

Location: Hybrid in Menlo Park, California (US)

Salary: $200,000 – $287,500

Company

hirify.global is a leading AI Data Cloud platform powering agentic enterprises with scalable data management and AI-powered observability tools.

What you will do

• Design and scale high-throughput pipelines handling petabyte-scale telemetry, including logs, metrics, traces, and events.
• Develop performance-critical distributed systems components in Go and/or C++ that operate across AWS and Azure.
• Contribute to OpenTelemetry and drive the company's open-source strategy and external community engagement.
• Architect solutions to ensure enterprise-grade availability and low latency under extreme data volumes.
• Collaborate with SRE, product, and platform teams to define data reliability standards and improve detection-to-resolution times.
• Mentor engineers across the organization and help shape the technical roadmap for the Data Management team.

Requirements

• 5+ years of software engineering experience with deep expertise in distributed systems.
• Proficiency in Go and/or C++ for writing high-performance, production-grade systems code.
• Demonstrated experience designing and operating large-scale data ingestion or stream processing pipelines.
• Strong fundamentals in systems programming: concurrency, memory management, networking, and I/O.
• Hands-on experience building and running services across major cloud providers (AWS and/or Azure).
• B.S. in Computer Science, Engineering, or equivalent practical experience.

Nice to have

• Experience with OpenTelemetry SDKs, instrumentation, or ecosystem tooling.
• Prior open-source contributions or project maintainership.
• Familiarity with Apache Iceberg or other open table formats and data lakehouse architectures.
• Background in observability, monitoring, or SRE.
• Experience with multi-cloud data infrastructure or telemetry platforms at petabyte scale.

Culture & Benefits

• Opportunity to work on a massive scale with genuine ownership over systems processing a petabyte of data per day.
• Combination of startup-style velocity and the global reach and operational excellence of a leading data platform.
• Experimental mindset and AI-native culture, treating AI as a high-trust collaborator.
• Low-ego environment that values curiosity and rapid testing of emerging capabilities.