Jobgether is looking for a Customer Reliability Engineer, Infrastructure to ensure the availability, reliability, and performance of cloud-native data platforms for enterprise clients. You will work across multiple public cloud environments, building deep expertise in Kubernetes and cloud operations.

What You'll Do

Monitor, operate, and maintain cloud infrastructure to ensure high availability 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 solve reliability challenges.
Participate in on-call rotations, maintaining 24x7 coverage and responding to incidents.
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.

What We're Looking For

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.

Nice to Have

Experience with customer-facing roles.
Experience with DevOps practices.
Open-source contributions.
Experience with monitoring tools such as Prometheus or Splunk.

Technical Stack

Kubernetes, Docker
AWS, Azure, GCP
Linux
Prometheus, Splunk

Team & Environment

Collaborate directly with customer teams, internal engineering, and product teams.

Benefits & Compensation

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.
Compensation: $140,000–$150,000 USD depending on experience, plus equity.