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Requirements:
· 3-5 years’ experience as a system admin / system integration. · Excellent customer oriented individual, a problem solver · Fast learner, team player, ability to work under pressure. · Experience with Windows environment as a system admin (AD, GPO). · Knowledge in virtualization technologies (VMware, Hyper-V) · Excellent understanding of networking (LAN, WAN, FortiGate, Checkpoint) · Hands on experience with networking equipment (Cisco, Dell) · Experience with host base (endpoint agent) security solutions (EDR) · Strong troubleshooting experience in complex systems · Experience with Storage systems (NetApp, Dell – Advantage) · Experience with Scripting & automation an advantage (Python, PowerShell, Bash, Batch) · Experience working with SIEM, NAC, XDR – work with and analyze events. · Experience Security products integrations – Linux base, Opensource based · Excellent written and verbal communication skills (Hebrew, English)
Certification · CCNA -Must · CCNP Advantage · MCSE/MCITP Advantage Bonuses: · Experience with large projects · Valid Security Clearance

Requirements:
What We Need To See:
B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
Experience in performance analysis, systems engineering, networking, or HPC/AI infrastructure.
10+ years of software engineering experience, including 4+ years in a leadership or management role.
Experience with high-performance networking technologies such as RDMA, RoCE, InfiniBand, Ethernet, MPI or NCCL.
Hands-on experience with system performance analysis, benchmarking, profiling, and root-cause analysis.
Understanding of host architecture, including CPUs, memory hierarchy, NUMA, PCIe, Linux OS, drivers, firmware, and DPU/NIC interactions.
Experience creating performance test plans for pre-silicon or post-silicon phases.
Programming or scripting experience with Python and Bash; C/C++ experience is helpful.
Ability to communicate technical findings clearly and work across engineering teams.

Ways To Stand Out from the Crowd
Experience with NICs or DPU architecture, networking offloads, host datapath behavior, networking services, or DPU offloads.
Experience with AI/HPC cluster performance, distributed training, inference workloads, collective communication libraries, telemetry pipelines, benchmark automation, CUDA, NCCL internals.
Linux kernel networking, DPDK, OVS, storage acceleration, or security offloads can also help you succeed in this role.

Requirements:
5+ years of experience as a Technical Customer Success Manager, Customer Success Engineer, Technical Account Manager, or a similar customer-facing technical role.
Strong troubleshooting and problem-solving skills with a hands-on technical approach.
Experience working with customers and managing technical relationships.
Excellent communication and presentation skills, with the ability to engage both technical and executive audiences.
Self-driven, proactive, and comfortable working in a fast-growing startup environment.
Experience with cloud platforms such as AWS, Azure, or GCP, and services including Kubernetes, ECS, Fargate, and containerized environments.
Familiarity with Cloud Security technologies such as CNAPP, CDR, Runtime Security, CSPM, or related domains is an advantage.

Requirements:
5+ years of experience in DevOps, SRE, or Infrastructure Engineering roles.
Strong expertise in Kubernetes, Terraform, Helm, and cloud environments (AWS, GCP, or Azure).
Experience with scalable observability stacks (e.g., ClickHouse, VictoriaMetrics, OpenTelemetry) is a huge plus.
Deep understanding of distributed systems, networking, and containerized workloads.
Proficiency in at least one programming language (Go, Python, or similar) for automation and tooling
Passion for building scalable, reliable, and efficient infrastructure.
A problem-solving mindset with the ability to tackle complex technical challenges independently.

Requirements:
U.S. Citizen (required)
3+ years of DevOps, Platform Engineering, or SRE experience
Strong AWS experience in production environments
Strong Kubernetes (EKS preferred) experience
Hands-on Terraform experience
Strong Linux administration skills
Python or similar scripting language for automation
Experience with monitoring, logging, and observability platforms
Strong understanding of cloud security best practices
Comfortable using AI-powered engineering tools to accelerate development, troubleshooting, automation, and operational workflows

Requirements:
5+ years of experience in security research, vulnerability research, detection engineering, threat detection engineer, or a related technical security role.
Strong understanding of modern application attack techniques, including the ability to analyze vulnerabilities and exploitation flows.
Deep expertise in Linux internals.
High degree of ownership and ability to independently navigate ambiguous technical problem spaces and turn them into structured research plans and actionable outcomes.
Experience designing and conducting hands-on technical research, including investigations, experiments, and PoC development.
Strong programming skills for code analysis, research tooling, and building proof-of-concepts and vulnerable test applications.
Strong communication and teamwork skills, with a collaborative approach to problem-solving across teams.
Data analysis skills and hands-on experience working with databases.

Requirements:
What we need to see:

B.Sc. (or equivalent experience) in computer science/software engineering.

3+ years confirmed experience of Programming C/C++.

3+ years confirmed experience in Linux environment and tools.

Deep experience with Networking Protocols mainly Ethernet, and security protocols.

Experience with virtualization technologies.

Strong analytical, debugging, and problem-solving skills.

Deep knowledge of computer architecture and operating systems.

Experience in performance optimizations.


Ways to stand out from the crowd:

Experience leading a small team or a feature/project with multiple engineers.

Knowledge and experience in DPDK.

Knowledge and experience with designing SDKs.

Open Source Software Contributor to relevant projects (OvS, DPDK, Linux Kernel..).

A positive demeanor, a growth mindset, and excellent interactions with colleagues.

Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field.

5+ years of experience in Python infrastructure engineering, specifically focused on automation or tooling for Linux-based compute and storage systems.

Strong DevOps/automation development expertise

Solid Linux systems fundamentals (processes, networking, filesystems), with a comfort level managing NFS, permissions, and quotas.

Proven incident response capabilities and a track record of owning critical systems with high availability requirements.


Ways to stand out from the crowd:

Familiarity with hardware verification workflows and the specific compute/storage demands of the semiconductor industry.

Hands-on experience with large-scale infrastructure and databases (metrics, logs, tracing) and alert tuning.

Exposure to building and maintaining REST services for internal tooling, service accounts, and secrets management.

Proven ability to identify efficiency gaps in infrastructure workflows and deliver impactful automation improvements.

Requirements:
What We Need to See:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

8+ years of hands-on experience in DevOps, platform engineering, or software infrastructure roles.

Strong proficiency in CI/CD tools with hands-on experience in GitLab CI/CD pipelines; familiarity with Jenkins, GitHub Actions, or equivalent is a plus.

Experience with containerization and orchestration - Docker, Kubernetes.

Solid scripting and automation skills - Python, Bash, and/or similar.

Familiarity with infrastructure-as-code tools (Terraform, Ansible, or similar).

Deep familiarity with Linux environments and system administration.

Experience with version control systems (Git) and branching strategies.

Strong debugging, problem-solving, and root-cause analysis skills.


Ways to Stand Out from the Crowd:

Experience building and scaling DevOps infrastructure for hardware validation or embedded systems environments.

Background working with test execution frameworks and integrating them into CI/CD pipelines.

Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, or similar).

Knowledge of cloud platforms (AWS, GCP, Azure) or on-premise HPC environments.

Experience integrating AI/ML workflows and AI agent pipelines into CI/CD flows, including model versioning, automated testing, and deployment automation for AI-driven systems.

Requirements:
6+ years of DevOps and infrastructure engineering experience, with a proven track record of solving complex system and scale challenges.

A low-ego, high-impact approach: You are self-directed, driven by delivery, and willing to roll up your sleeves for the foundational work that ensures system stability and developer velocity.

Deep infrastructure pragmatism: Extensive experience across the entire stack - including Kubernetes, advanced CI/CD, modern networking, security best practices, and database orchestration - coupled with a nuanced understanding of how to scale systems efficiently.

Forward-thinking adaptability: A continuous desire to explore new technologies, leveraging modern cloud-native tools and infrastructure paradigms to accelerate development workflows and multiply your impact.

Bachelor of Science in Computer Science, Software Engineering, or equivalent battle-tested experience.

Requirements:
4+ years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments.
At least 3 years of proven people-management and technical leadership experience, including mentoring engineers, leading initiatives, and driving execution across teams.
Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability.
Deep expertise in cloud technologies and application security, with a strong focus on best practices for building secure, resilient, scalable, and cost-efficient architectures.
Extensive hands-on experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
Strong proficiency in automation and infrastructure-as-code, including Terraform, and hands-on experience building and maintaining CI/CD pipelines using tools such as Jenkins.
Solid experience with monitoring and logging solutions (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues.
Proficiency in scripting and programming (e.g., Node.js, Bash) to automate workflows and improve operational efficiency.
Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving.
Strong ownership mindset, with the ability to lead initiatives end-to-end and make data-driven technical and operational decisions.
Passion for learning new technologies and tackling complex challenges in a fast-paced, high-impact environment.
Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.
Preferred
Proficiency in database technologies, including Cassandra, Elasticsearch, ClickHouse, and PostgreSQL HA.
Expertise in Kafka cluster administration, including cross-region replication and high-availability configurations.
Experience with MLOps workflows and infrastructure, including model deployment, monitoring, and scaling in production environments.

Requirements:
What You Will Need?
4+ years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments. Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability.
Deep expertise in cloud technologies and application security, with a strong focus on best practices for securing resilient, scalable, and cost-efficient architectures.
Extensive experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
Proficiency in automation tools such as Terraform, and hands-on experience with CI/CD pipelines using tools like Jenkins.
Strong knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues.
Proficiency in scripting languages (e.g., Node.js, Bash) to automate workflows and enhance operational efficiency.
Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving.
Passionate about learning new technologies and tackling complex challenges in a fast-paced environment.
Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.
Preferred:
Proficiency in database technologies, including Cassandra, Elasticsearch, ClickHouse, and PostgreSQL HA.
Expertise in Kafka cluster administration, including cross-region replication and high-availability configurations.
Experience with MLOps workflows and infrastructure, including model deployment, monitoring, and scaling in production environments.