
SRE – Compute, Linux, Kubernetes, Containers
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in Brazil, +3 more countries.
• Assist internal stakeholders with the compute platform via comprehensive onboarding, Slack/community forum engagement, ticketing responses, and in-depth technical troubleshooting.
• Serve as the primary engineering support for issues related to Kubernetes and container technology.
• Diagnose, isolate, and address problems with Kubernetes workloads, scheduling, services, networking, and RBAC.
• Troubleshoot Docker containers, images, builds, and runtime environments efficiently.
• Resolve issues on Linux servers, including systemd behavior, filesystem challenges, and resource limitations.
• Investigate networking problems related to TCP/IP, DNS, routing, and firewalls.
• Analyze Linux systems using tools such as tcpdump, ss, strace, traceroute, dig, journalctl, top, and htop.
• Compose technical tickets, incident reports, runbooks, and knowledge base articles.
• Engage in postmortem reviews and drive subsequent actions.
• Collaborate with SRE, Platform, and Engineering teams to escalate issues, pinpoint platform bugs, and suggest enhancements.
• Provide structured feedback based on trends observed during support interactions.
• Develop tools, scripts, and processes aimed at enhancing support efficiency.
• Solid understanding of Linux fundamentals, encompassing processes, services, filesystem, and kernel essentials.
• In-depth knowledge of Linux networking, including TCP/IP, routing, DNS, load balancers, and firewalls.
• Practical experience with Kubernetes, preferably beyond managed cloud environments.
• Strong expertise in Docker and containerization technologies.
• Experience providing production support for large-scale systems.
• Capable of writing and comprehending Python scripts or equivalent programming languages.
• Comfortable reviewing pull requests, interpreting developer code, and liaising with development teams.
• Proficient in Git version control.
• Excellent written and spoken English, with a focus on clarity.
• Highly organized with a keen attention to detail and consistent follow-through.
• Strong problem-solving skills, analytical thinking, and structured debugging capabilities.
• Ability to work independently with distributed teams.
• Preferred experience in supporting private cloud or internal platform engineering teams.
• Familiarity with Spark, Kafka, or distributed systems is a plus.
• Bachelor’s degree in Computer Science or a related engineering field is preferred.
• Enjoy the flexibility to work from anywhere with full autonomy and respect for your time.
• Access to continuous learning opportunities.
• Collaborate with a diverse team of global colleagues.
• Experience a remote-first work environment.
• Thrive in a trust-based workplace culture.
• Be part of a diverse and inclusive team.
• Opportunity to engage with cutting-edge systems across various clients and sectors.
• Make a real impact by addressing significant technical challenges.
Oddball
VAILEXA
VAILEXA
RELX
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