דרושים Ansible Technical Support Engineer ב-Red Hat ב-ארהב

What you will do:

During your first year as a Junior Technical Account Manager, you’ll participate in the FASTER Program, Field Accelerator for Sales and Technical Emerging Roles (we do love a good acronym), a comprehensive 12-month onboarding and development program designed to provide you with the deep technical knowledge, customer engagement skills, and industry insights needed to excel. You'll gain hands-on experience with Red Hat's diverse portfolio, learn from seasoned experts, and contribute to real-world customer solutions from day one. This cohort-based program starts in September 2026. Through this experience, you will:

• Discover all about Red Hat and how we support our customers in addressing their technical, developmental, and strategic business challenges with our comprehensive portfolio and services

• Build a strong support network of your Peers, Manager, Mentor, and other Red Hatters within and outside of your team

• Develop technical skills in the Red Hat portfolio that span Cloud, Automation, and AI solutions by completing training programs and attaining industry-recognized certifications

• Shadow and assist more experienced members as they deliver strategic technical and architectural guidance to key customers

• Enhance your professional capabilities through real-world experiences working directly with customers and participating in skill development opportunities.

• Focus on your personal and professional development as you grow your career at Red Hat.

• Support the Sales organizations’ goals to deliver customer business value, building enterprise IT solutions based on Red Hat platforms that create a trusted, consistent, and comprehensive foundation for any enterprise.

As a Junior Technical Account Manager, you will also:

• Respond to customer inquiries and requests, following established procedures

• Document customer interactions and track issue resolution progress in designated systems

• Escalate complex technical issues to senior team members for guidance and resolution

• Participate in internal training programs to develop product knowledge and technical skills

• Perform customer onboarding and account maintenance tasks with the assistance of senior team members

• Proactively identify and document known solutions for common technical challenges

• Contribute to the creation and maintenance of knowledge base articles and support documentation

What you will bring

• Passion and curiosity for open source technology, desire to build a career within the Tech industry, and expertise in emerging technologies

• Strong technical skills in computer science, IT, AI, or related fields, gained through university programs, upskilling boot camps, certificate programs, or military experience

• Demonstrated experience applying technical troubleshooting, documentation, analytical, and problem-solving skills with an attentive eye for detail in an enterprise IT-related project, showcasing the ability to diagnose and resolve complex issues

• Understand fundamental concepts of network communication and configuration

• Motivation to engage in self-directed learning on new technologies

• Demonstrated customer service skills and desire to be customer-focused, understanding customer needs, and helping them achieve their goals

• Effective communication (written and verbal), active listening and presentation skills

• Ability to work independently and collaboratively with internal teams and external customers

• Some exposure to scripting languages (e.g., Python, Bash) or programming languages (e.g., Java, Go) is a plus

• Full professional proficiency in written and spoken English

What you will do:

• Win the confidence of our customers through the successful delivery of discovery, analysis and design workshops that shape and influence the customer’s architecture design decisions to align with the Red Hat solution.

• Lead consulting teams through successful customer pilot and production deployments, workload onboarding and ongoing lifecycle management

• Work closely with product business units, product engineering, consulting, support, and sales to ensure a world-class customer experience with Red Hat’s products.

• Contribute to the development of repeatable methodologies and tools designed to scale Red Hat’s services capabilities, promote repeatable customer engagements, and lower delivery risk.

What you will bring:

• Prior experience working in a consulting and architecture roles

• Good customer-facing skills; ability to present to customers and lead customer interactions

• Excellent knowledge of modern telco networks and protocols and their implementation in software based solutions at the architecture and hands-on delivery levels

• Experience designing and delivering cloud and automation technology for telco network platforms via distributed cross-functional teams and with telco-wide deployments

• Knowledge of Red Hat’s infrastructure solutions like Red Hat OpenShift Container Platform, Red Hat OpenStack Platform, Red Hat Enterprise Linux (RHEL)

• Excellent written and verbal language skills in French and English

• Willingness to travel across the region

• Red Hat Certifications are considered a plus

What you will do:

• Own the resilience testing roadmap for vLLM and llm-d: define resilience indicators, prioritize fault scenarios, and establish go/no-go gates for releases and CI/CD

• Design GPU/accelerator-aware fault experiments that target vLLM and the stack beneath it (drivers, GPU Operator/DevicePlugin, NCCL/collectives, storage/network paths, NUMA/topology)

• Build an automated harness (preferably extending krkn-chaos (https://github.com/krkn-chaos/krkn) ) to run controlled experiments with scoped blast radius, and evidence capture (logs, traces, metrics)

• Integrate fault signals into pipelines (GitHub Actions or otherwise) as resilience gates alongside performance gates

• Develop detection and diagnostics: dashboards and alerts for pre-fault signals (e.g., vLLM queue depth, GPU throttling, P2P downgrades, KV-cache pressure, allocator fragmentation)

• Triage and root-cause resilience regressions from field/customer issues; upstream bugs and fixes to vLLM and llm-d

• Explore and experiment with emerging AI technologies relevant to software development and testing, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

• Publish learnings (internal/external): failure patterns, playbooks, SLO templates, experiment libraries, and reference architectures; present at internal/external forums

What you will bring:

• 3+ years in reliability, and/or performance engineering on large-scale distributed systems

• Expertise in systems‑level software design

• Expertise with Kubernetes and modern LLM inference server stack (e.g., vLLM, TensorRT-LLM, TGI)

• Observability & forensics skills with experience with Prometheus/Grafana, OpenTelemetry tracing, eBPF/BPFTrace/perf, Nsight Systems, PyTorch Profiler; adept at converting raw signals into actionable narratives.

• Fluency in Python (data & ML), strong Bash/Linux skills

• Exceptional communication skills - able to translate raw data into customer value and executive narratives

• Commitment to open‑source values and upstream collaboration

The following is considered a plus:

• Master’s or PhD in Computer Science, AI, or a related field

• History of upstream contributions and community leadership, public talks or blogs on resilience, or chaos engineering

• Competitive benchmarking and failure characterization at scale.

The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave

Primary Job Responsibilities:

• Design a program of need to know commands and understanding of Linux.

• Create and deliver external content like labs, blogs, how-to videos, tech tips, demos, papers, articles, etc.

• Create and deliver concept and technical presentations to Red Hat audiences

• Have an idea about how we can better show up with our product? Programatize that and do it!

Required skills:

• Technical background, with expertise in Linux

• Experience writing software on Linux (Python, node.js, php, or other language runtime)

• Desire to create high-quality, interesting, compelling technical content

• Success in a collaborative, technical environment.

• Excellent communication skills, both written and verbal

The following are considered a plus:

• Virtualization, Linux administration, using cloud based instances

What you will do:

• Win the confidence of our customers through the successful delivery of discovery, analysis and design workshops that shape and influence the customer’s architecture design decisions to align with the Red Hat solution.

• Lead consulting teams through successful customer pilot and production deployments, workload onboarding and ongoing lifecycle management

• Work closely with product business units, product engineering, consulting, support, and sales to ensure a world-class customer experience with Red Hat’s products.

• Contribute to the development of repeatable methodologies and tools designed to scale Red Hat’s services capabilities, promote repeatable customer engagements, and lower delivery risk.

What you will bring:

• Prior experience working in a consulting and architecture roles

• Good customer-facing skills; ability to present to customers and lead customer interactions

• Excellent knowledge of modern telco networks and protocols and their implementation in software based solutions at the architecture and hands-on delivery levels

• Experience designing and delivering cloud and automation technology for telco network platforms via distributed cross-functional teams and with telco-wide deployments

• Knowledge of Red Hat’s infrastructure solutions like Red Hat OpenShift Container Platform, Red Hat OpenStack Platform, Red Hat Enterprise Linux (RHEL)

• Excellent written and verbal language skills in French and English

• Willingness to travel across the region

• Red Hat Certifications are considered a plus

What you will do:

• Own the resilience testing roadmap for vLLM and llm-d: define resilience indicators, prioritize fault scenarios, and establish go/no-go gates for releases and CI/CD

• Design GPU/accelerator-aware fault experiments that target vLLM and the stack beneath it (drivers, GPU Operator/DevicePlugin, NCCL/collectives, storage/network paths, NUMA/topology)

• Build an automated harness (preferably extending krkn-chaos (https://github.com/krkn-chaos/krkn) ) to run controlled experiments with scoped blast radius, and evidence capture (logs, traces, metrics)

• Integrate fault signals into pipelines (GitHub Actions or otherwise) as resilience gates alongside performance gates

• Develop detection and diagnostics: dashboards and alerts for pre-fault signals (e.g., vLLM queue depth, GPU throttling, P2P downgrades, KV-cache pressure, allocator fragmentation)

• Triage and root-cause resilience regressions from field/customer issues; upstream bugs and fixes to vLLM and llm-d

• Explore and experiment with emerging AI technologies relevant to software development and testing, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

• Publish learnings (internal/external): failure patterns, playbooks, SLO templates, experiment libraries, and reference architectures; present at internal/external forums

What you will bring:

• 3+ years in reliability, and/or performance engineering on large-scale distributed systems

• Expertise in systems‑level software design

• Expertise with Kubernetes and modern LLM inference server stack (e.g., vLLM, TensorRT-LLM, TGI)

• Observability & forensics skills with experience with Prometheus/Grafana, OpenTelemetry tracing, eBPF/BPFTrace/perf, Nsight Systems, PyTorch Profiler; adept at converting raw signals into actionable narratives.

• Fluency in Python (data & ML), strong Bash/Linux skills

• Exceptional communication skills - able to translate raw data into customer value and executive narratives

• Commitment to open‑source values and upstream collaboration

The following is considered a plus:

• Master’s or PhD in Computer Science, AI, or a related field

• History of upstream contributions and community leadership, public talks or blogs on resilience, or chaos engineering

• Competitive benchmarking and failure characterization at scale.

The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave

What you will do:

• Own the resilience testing roadmap for vLLM and llm-d: define resilience indicators, prioritize fault scenarios, and establish go/no-go gates for releases and CI/CD

• Design GPU/accelerator-aware fault experiments that target vLLM and the stack beneath it (drivers, GPU Operator/DevicePlugin, NCCL/collectives, storage/network paths, NUMA/topology)

• Build an automated harness (preferably extending krkn-chaos (https://github.com/krkn-chaos/krkn) ) to run controlled experiments with scoped blast radius, and evidence capture (logs, traces, metrics)

• Integrate fault signals into pipelines (GitHub Actions or otherwise) as resilience gates alongside performance gates

• Develop detection and diagnostics: dashboards and alerts for pre-fault signals (e.g., vLLM queue depth, GPU throttling, P2P downgrades, KV-cache pressure, allocator fragmentation)

• Triage and root-cause resilience regressions from field/customer issues; upstream bugs and fixes to vLLM and llm-d

• Explore and experiment with emerging AI technologies relevant to software development and testing, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

• Publish learnings (internal/external): failure patterns, playbooks, SLO templates, experiment libraries, and reference architectures; present at internal/external forums

What you will bring:

• 3+ years in reliability, and/or performance engineering on large-scale distributed systems

• Expertise in systems‑level software design

• Expertise with Kubernetes and modern LLM inference server stack (e.g., vLLM, TensorRT-LLM, TGI)

• Observability & forensics skills with experience with Prometheus/Grafana, OpenTelemetry tracing, eBPF/BPFTrace/perf, Nsight Systems, PyTorch Profiler; adept at converting raw signals into actionable narratives.

• Fluency in Python (data & ML), strong Bash/Linux skills

• Exceptional communication skills - able to translate raw data into customer value and executive narratives

• Commitment to open‑source values and upstream collaboration

The following is considered a plus:

• Master’s or PhD in Computer Science, AI, or a related field

• History of upstream contributions and community leadership, public talks or blogs on resilience, or chaos engineering

• Competitive benchmarking and failure characterization at scale.

The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications.

Pay Transparency

● Comprehensive medical, dental, and vision coverage

● Flexible Spending Account - healthcare and dependent care

● Health Savings Account - high deductible medical plan

● Retirement 401(k) with employer match

● Paid time off and holidays

● Paid parental leave plans for all new parents

● Leave benefits including disability, paid family medical leave, and paid military leave