Customer Reliability Engineer, Infrastructure

This position is posted by Jobgether on behalf of Astronomer. We are currently looking for a Customer Reliability Engineer, Infrastructure in the United States.

The Customer Reliability Engineer (Infrastructure) is a key role focused on ensuring the availability, reliability, and performance of cloud-native data platforms for enterprise clients. You will work across multiple public cloud environments—AWS, Azure, and GCP—developing expertise in Kubernetes, cloud networking, and infrastructure operations. In this role, you will collaborate directly with customer teams, internal engineering, and product teams to monitor, troubleshoot, and optimize systems while delivering a world-class operational experience. This position provides the opportunity to grow technical depth, gain exposure to diverse disciplines, and contribute to high-impact projects in a fully distributed environment.

Accountabilities

• Monitor, operate, and maintain cloud infrastructure to ensure high availability, reliability, and predictable operations for customers.
• Build deep expertise in Kubernetes, cloud engineering, and cloud networking across AWS, Azure, and GCP.
• Collaborate with customers’ data engineers, system administrators, DevOps teams, and management to understand and solve reliability challenges.
• Participate in on-call rotations, maintaining 24x7 coverage and responding to incidents during scheduled pager periods.
• Contribute to side projects, including open-source contributions, internal monitoring systems, and process improvements.
• Provide feedback to product and engineering teams to influence product roadmap and reliability enhancements.
• Participate in remote team events and occasional in-person gatherings to foster collaboration and knowledge sharing.

• Minimum 4 years of professional experience in cloud infrastructure, DevOps, or related roles.
• Demonstrable experience with Kubernetes, Docker, or containerized environments.
• Familiarity with at least one major cloud provider: AWS, GCP, or Azure.
• Strong Linux proficiency and comfort with system administration tasks.
• Excellent problem-solving, troubleshooting, and communication skills, both written and verbal.
• Motivation to learn new technologies and take ownership of customer-facing issues from start to finish.
• Bonus qualifications include experience with customer-facing roles, DevOps practices, open-source contributions, and monitoring tools such as Prometheus or Splunk.

• Competitive salary: $140,000–$150,000 USD, depending on experience, plus equity component.
• Fully remote work with flexible scheduling (core hours 12PM–6PM Pacific US).
• Opportunity for professional growth and skill development across cloud and infrastructure disciplines.
• Paid on-call rotation with support for weekend coverage.
• Access to open-source projects and opportunities to contribute to the broader data engineering community.
• Participation in team events, internal knowledge-sharing programs, and side-project initiatives.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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