SRE Support Engineer (Linux, Kubernetes, Docker)

Location: Fully remote from Brazil, Chile, Colombia, or Mexico; working hours are 8AM–5PM Pacific.

Company

hirify.global is a global technology services company delivering large-scale cloud, data, and engineering solutions across more than 130 countries.

What you will do

• Support internal developers adopting and using the compute platform through onboarding, community and ticketing channels, and deep technical troubleshooting.
• Investigate and resolve Kubernetes workload, scheduling, service, networking, and RBAC issues.
• Troubleshoot Docker containers, images, builds, runtime environments, and Linux server behavior.
• Analyze TCP/IP, DNS, routing, firewall, filesystem, resource, and systemd issues using low-level Linux tools.
• Write technical tickets, incident summaries, runbooks, and knowledge-base articles; participate in postmortems and follow-up actions.
• Collaborate with SRE, Platform, and Engineering teams to identify platform bugs, propose improvements, and build tools or scripts that improve support efficiency.

Requirements

• Strong Linux fundamentals, including processes, services, filesystems, and kernel basics.
• Strong Linux networking knowledge, including TCP/IP, routing, DNS, load balancers, and firewalls.
• Hands-on Kubernetes experience, ideally beyond managed cloud platforms, and strong Docker/containerization expertise.
• Experience providing production support for large-scale systems.
• Ability to write and understand Python scripts or similar languages.
• Ability to review pull requests, read developer code, communicate with development teams, and use Git proficiently.
• Exceptional written and spoken English with extremely clear communication.
• Strong organization, attention to detail, follow-through, problem-solving, analytical thinking, and structured debugging skills.
• Ability to work independently with distributed teams.

Nice to have

• Bachelor’s degree in Computer Science or a similar engineering discipline.
• Experience supporting private cloud or internal platform engineering teams.
• Familiarity with Spark, Kafka, or distributed systems.

Culture & Benefits

• Remote-first work with autonomy and respect for personal time.
• Trust-based environment focused on continuous learning and meaningful technical impact.
• Collaboration with a global, diverse team across clients and sectors.
• Opportunities to work on large-scale systems involving containers, networking, and distributed systems.