Cloud Engineer - Product Metrics [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Engineer - Product Metrics based in the United States.

As a Cloud Engineer focused on Product Metrics, you will contribute to the design, development, and operation of a large-scale distributed data platform that powers real-time analytics and customer-facing insights. You will work on systems that process massive volumes of events with high reliability, precision, and performance requirements. This role blends backend engineering, cloud infrastructure, and data-intensive system design in a highly technical, remote-first environment. You will collaborate with cross-functional engineering teams to build and evolve scalable services using modern cloud-native technologies. With ownership over critical production systems, you will directly impact data quality, product reliability, and customer experience at scale. This is an opportunity to work on cutting-edge distributed systems supporting high-throughput analytics and observability workloads.

Accountabilities

• Design, build, operate, and maintain large-scale distributed systems that process and serve product metrics data.
• Contribute to the roadmap and technical direction of the Product Metrics platform in collaboration with the team.
• Develop and enhance backend services using Golang within a cloud-native, Kubernetes-based environment.
• Ensure high performance, reliability, availability, and cost efficiency of critical data processing systems.
• Build and maintain pipelines for ingesting, storing, and retrieving large-scale event and metrics data.
• Participate in on-call rotations and take ownership of production services, including incident response and debugging.
• Collaborate with engineers across teams to deliver new features, improve system design, and iterate on platform capabilities.
• Implement observability, monitoring, and performance optimization strategies across distributed systems.
• Contribute to architectural discussions and help evolve scalable, fault-tolerant infrastructure.
• Mentor peers and participate in technical reviews to improve engineering quality and best practices.

Requirements

• 5+ years of software engineering experience building and operating scalable distributed systems.
• 2+ years of hands-on experience with Golang in production environments.
• Experience working with at least one major cloud provider (AWS, GCP, or Azure).
• Strong background in designing systems that handle large-scale data ingestion, processing, and retrieval.
• Experience with Kubernetes and related ecosystem tools (e.g., Helm, ArgoCD, Terraform, or similar IaC tools).
• Familiarity with high-volume data technologies such as ClickHouse or similar analytical databases.
• Strong debugging and production troubleshooting skills in complex distributed environments.
• Excellent communication skills and ability to collaborate effectively in fully remote engineering teams.
• Strong ownership mindset with a focus on reliability, performance, and customer impact.
• Ability to break down complex problems into iterative, deliverable engineering solutions.

Benefits

• Competitive annual salary ranging from $141,000 to $230,000 USD , depending on location and experience.
• Fully remote work environment within the United States.
• Equity in the company through stock options.
• Comprehensive healthcare coverage with employer contributions.
• Flexible time off and generous vacation policies.
• Home office setup stipend for remote employees.
• Opportunities to work on large-scale, high-impact distributed systems.
• Strong engineering culture focused on ownership, learning, and technical excellence.
• Global team collaboration with experienced engineers working on cutting-edge infrastructure.

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!

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.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.