Future openings INDIA - SRE - Compute (Linux, Kubernetes, Containers)

5 months ago

Remote, United StatesMid Level

Responsibilities

Provide high-touch onboarding and technical support to internal customers using the compute platform.
Respond through Slack, community forums, and ticketing systems, serving as the first engineering support line for Kubernetes and container issues.
Troubleshoot Kubernetes workloads, scheduling, services, networking, and RBAC.
Investigate Docker containers, images, builds, runtime environments, and Linux server issues.
Diagnose Linux processes, services, filesystems, resource constraints, and networking problems.
Use tools including tcpdump, ss, strace, traceroute, dig, journalctl, top, and htop for system investigation.
Write technical tickets, incident summaries, runbooks, knowledge-base articles, and documentation improvements.
Participate in postmortems and drive follow-up actions.
Collaborate with SRE, Platform, and Engineering teams to escalate issues, identify platform bugs, and propose improvements.
Provide structured feedback based on support trends and contribute tools, scripts, and processes that improve support efficiency.

Strong Linux fundamentals covering processes, services, filesystems, and kernel basics.
Strong Linux networking knowledge, including TCP/IP, routing, DNS, load balancers, and firewalls.
Hands-on Kubernetes experience, preferably beyond managed cloud platforms.
Strong Docker and 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, and communicate with development teams.
Strong Git proficiency.
Exceptional written and spoken English with clear technical communication.
Strong organization, attention to detail, follow-through, problem-solving, analytical thinking, and structured debugging skills.
Ability to work independently with distributed teams.
Bachelor’s degree in Computer Science or a similar engineering discipline is preferred.
Experience supporting private cloud or internal platform engineering teams is preferred.
Familiarity with Spark, Kafka, or distributed systems is preferred.

Remote-first work from anywhere with autonomy and respect for working time.
Collaboration with a global team across more than 130 countries.
Continuous learning and exposure to systems across clients and sectors.
Trust-based, diverse, and globally distributed work environment.
Opportunity to solve technically complex problems affecting systems used by hundreds of millions of people.

51-200 employees