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Virtasant

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

Virtasant is hiring a Future openings - SRE - Compute (Linux, Kubernetes, Containers) for a remote role open to applicants in United States. Level rates it ; you can apply on Virtasant.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting lists this role as remote.
  • Level lists 13 other open roles at Virtasant.

AI in this role

SRE Support Engineer

While this position is not currently open, we are interviewing strong candidates for upcoming opportunities on this team.

Location: Remote | Time Zone: (Brazil, Chile, Colombia, Mexico) (8AM–5PM Pacific)

Domain: Compute (Linux Fundamentals, Linux Networking, Kubernetes, Docker)

About Virtasant

Virtasant is a global technology services company delivering large-scale cloud, data, and engineering solutions across 130+ countries. We partner with some of the world’s largest organizations to help them build, operate, and scale internal platforms used by tens of thousands of engineers.

For this role, you will be supporting one of the most advanced internal developer platforms in the world, powering products used by hundreds of millions of people. The problems you will solve are deep, complex, and essential to keeping a global-scale organization moving.

The Role

We are hiring an SRE Support Engineer who is exceptionally strong in:

Linux fundamentals
Linux networking
Containerization (Docker)
Kubernetes (internal/private cloud, multi-form experience preferred)

This is a hands-on, engineering-level support role focused on helping internal developers adopt, debug, and succeed with the client’s internal compute platform. You’ll work at the intersection of Kubernetes, containers, and low-level Linux troubleshooting, engaging directly with engineers to resolve issues that often require deep system understanding.
This is not generic L1/L2 support, it’s high-trust technical engineering work with some of the most innovative developers in the industry.

Key Responsibilities

Platform & Customer Support

Support internal customers using the compute platform through:

  • High-touch white-glove onboarding

  • Slack/community forum and ticketing system responses

  • Deep technical troubleshooting

Act as the first line of engineering support for Kubernetes- and container-related issues.

Technical Investigation & Resolution

Troubleshoot, isolate, and resolve issues across:

  • Kubernetes workloads, scheduling, services, networking, RBAC

  • Docker containers, images, builds, and runtime environments

  • Linux servers, systemd behavior, filesystem issues, resource constraints

  • Networking (TCP/IP, DNS, routing, firewalls)

Linux & Networking Deep-Dive

  • Investigate issues inside Linux systems using tools such as:

  • tcpdump, ss, strace, traceroute, dig, journalctl, top, htop

Documentation & Communication

  • Write clear, concise technical tickets, incident summaries, and runbooks.

  • Create knowledge base articles and contribute to ongoing documentation improvements.

  • Participate in postmortems and drive follow-up actions.

Cross-Team Collaboration

  • Work with SRE, Platform, and Engineering teams to escalate issues, identify platform bugs, and propose improvements.

  • Provide high-quality, structured feedback based on trends in support interactions.

Operational Excellence

  • Uphold a strong emphasis on detail, organization, independence, and quality.

  • Contribute to building tools, scripts, and processes that improve support efficiency.


Required Skills & Experience

Core Technical

  • Strong Linux fundamentals (processes, services, filesystem, kernel basics).

  • Strong Linux networking (TCP/IP, routing, DNS, load balancers, firewalls).

  • Hands-on Kubernetes experience — ideally beyond managed cloud platforms.

  • Strong Docker/containerization expertise.

  • Experience in production support for large-scale systems.

Software & Scripting

  • Ability to write and understand Python scripts (or similar languages).

  • Comfortable reviewing PRs, reading developer code, and communicating with dev teams.

  • Strong Git proficiency.

Communication & Work Style

  • Exceptional written and spoken English (must be extremely clear).

  • Highly organized, meticulous attention to detail, and consistent follow-through.

  • Strong problem-solving, analytical thinking, and structured debugging ability.

  • Comfortable working independently with distributed teams.

Preferred

  • Bachelor’s degree in Computer Science or similar engineering discipline.

  • Experience supporting private cloud or internal platform engineering teams.

  • Familiarity with Spark, Kafka, or distributed systems.

Why This Role Is Exciting

  • You will support systems used by every developer at a global company.

  • You will learn more here in 6 months than in years at a typical engineering org.

  • You’ll solve deeply technical problems at the intersection of containers, networking, and distributed systems.


Why Join Virtasant

  • Freedom to Grow. Power to Deliver.

  • At Virtasant, we believe talented people do their best work in environments built on trust, autonomy, and continuous learning. You’ll join a truly global team - 130+ countries strong - where you can:

  • Work from anywhere with full autonomy and respect for your time.

  • Learn in every direction by working on cutting-edge systems across clients and sectors.

  • Collaborate globally with kind, curious, and professional teammates.

  • Make real impact by solving technical challenges that matter.

  • We’re remote-first. Trust-based. Proudly diverse. And relentlessly focused on delivering meaningful work.

How we rate this

Future openings - SRE - Compute (Linux, Kubernetes, Containers) at Virtasant rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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