Ai Devops jobs in Israel
Elementor Senior DevOps Engineer Israel
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- Continuously improve our infrastructure to be more secure, scalable, and robust
- Apply new technologies for internal and external services
- Design, build, and maintain CI/CD pipelines and IaC for our infrastructure
- Architecture planning for cloud-based solutions
- Performance optimization to our workloads and GKE clusters
- Control and develop the monitoring and observability solutions
- At least 5 years of experience as a DevOps.
- At least 3 years of hands-on experience with Kubernetes.
- Knowledge and experience with cloud vendors such as GCP/AWS - Must
- Hands-on experience in production environments - Must
- DB management - MySQL, MongoDB, Redis - Must
- Experience with CI/CD tools such as Github Actions, Jenkins, or GitLab - Must
- Experience with Terraform or other provisioning tools - Advantage
- Development of Kubernetes Operators - Advantage
- High Documentation skills - Advantage
- Experience with operation of 24/7 Highly available production systems - Advantage
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Unity Staff Data AI Engineer Israel, Tel-Aviv District, Tel-Aviv
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What you'll be doing
- Develop and execute AI strategies aligned with business objectives
- Advise leadership on AI capabilities and potential applications
- Guide teams in adopting AI tools and methodologies
- Ensure ethical and efficient implementation of AI technologies
- Design and oversee AI-driven process improvements
- Collaborate with various departments to identify AI opportunities
- Stay current with the latest AI trends and advancements
- Conduct AI-related training and workshops for staff
- Manage AI projects from conception to implementation
- Evaluate and recommend AI tools and platforms
- Leading a team of AI engineers
- Deep understanding of AI technologies, including large language models
- Expertise in prompt engineering and AI-powered automation
- Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
- Knowledge of AI ethics and regulatory considerations
- Strong problem-solving and analytical skills
- Proficiency with Python or TypeScript for building AI workflows and data pipelines
- Excellent communication and leadership abilities
- Ability to translate complex AI concepts for non-technical audiences
- Experience in project management and cross-functional collaboration
- Advanced degree in Computer Science, AI, or related field
- Previous experience in AI implementation within an organizational setting
- Certifications in relevant AI technologies or platforms
- Familiarity with no-code AI application development
- Bachelor's degree in Computer Science, AI, or related field
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Unity Senior DevOps Engineer Data Platform Israel, Tel-Aviv District, Tel-Aviv
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- Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
- DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
- Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
- Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
- Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
- Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
- Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
- Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
- Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
- Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale
- 3+ years of hands-on DevOps experience building, shipping, and operating production systems.
- Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
- Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
- Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
- Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
- GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
- Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.
- Data Pipeline Orchestration - Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
- Data Engineer Experience Focus - Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
- Data Infrastructure Deep Knowledge - Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Nvidia Senior Software Research Architect AI Networking Israel, Tel Aviv District, Tel Aviv-Yafo
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- Israel, Tel Aviv
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
computing for more than 25 years.a unique legacy of innovationfueled by great technology—and amazing people. Today,
You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and
Be Doing:
Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, andplacement.
Analyze current deployments, develop prototypes, and recommend architectural improvements.
Stay abreast of the latest research; become the team’s authority in emerging networking techniques and technologies.
Design, simulate, and validate new systems using novel, scalable network simulator NSX.
Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).
Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.
Publish patents and present research at leading conferences.
What We Need to See:
M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related field—or B.Sc. with research experience andpublications.
5+ years of relevant experience.
Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing).
Strong software engineering skills in C++ and/or Python.
Excellent system-level design and problem-solving abilities.
Outstanding communication and collaboration skills across technical domains.
Ways to Stand Out from the Crowd:
Proven passion for solving sophisticated technical problems and delivering impactful solutions.
Record of publications in top-tier conferences.
Experience in designing and building large-scale AI training clusters.
Post-PhD research experience
Practical understanding of deep learning systems, GPU acceleration, and AI model execution flows.
Nvidia Senior DevOps Engineer Israel, North District
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- Israel, Yokneam
- Israel, Raanana
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you’ll be doing:
- Design, develop and support CI processes of various products.
- Collaborate with various teams across the globe to promote and improve CI practices.
- Build infrastructure for effective, high quality, reliable development and release processes.
- Be a part of an experienced team with a great atmosphere.
What we need to see:
- B.Sc. (or equivalent experience) in Computer Engineering, Computer Science or related technical discipline
- 4+ year experience in Software development.
- Solid experience with Linux operating system
- Experience with Jenkins pipelines embedded with Groovy based libraries
- Control of GIT SCM
- Proven experience in Docker.
- Excellent development abilities in python scripting language
- Strong design, coding and debugging skills
- High ability to focus on task execution
- Agility and multitasking
- Great teammate
Ways to stand out from the crowd:
- Proven experience with design and implementation of complex CI/CD pipelines
Nvidia Senior Software Engineer AI Infra Israel, Tel Aviv District, Tel Aviv-Yafo
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- Israel, Tel Aviv
- time type
- Full time
- posted on
- Posted Today
- job requisition id
What you’ll be doing:
Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.
Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.
Conducting code and build reviews to uphold high-quality standards and mentor team members.
Leading the development and implementation of advanced identity management systems that secure NVIDIA’s innovative AI and GPU cloud.
Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of NVIDIA’s platforms securely and efficiently.
Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.
What we need to see:
B.Sc. in Computer Science or a related field (or equivalent experience).
5+ years of experience
Experience in backend software development, including system design and architecture.
Proficiency in at least one backend programming language (Go preferred).
Strong knowledge in microservices architecture, RESTful APIs, and relational databases.
Proficient knowledge of security guidelines and experience applying them in large-scale systems.
Expertise in implementing OAuth, OIDC, SAML, and other modern authentication protocols - Advantage
Ways to stand out from the crowd:
Expertise in Kubernetes internals and advanced cloud-native technologies.
Experience working in Linux environments with knowledge of networking, security, and virtualization.
Contributions to open-source projects or active participation in tech communities.
Agile approach and familiarity with standard methodologies.
Nvidia Senior DevOps Engineer Israel, Tel Aviv District, Tel Aviv-Yafo
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- Israel, Tel Aviv
- Israel, Raanana
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you'll be doing:
The person will be part of the NVIDIA AIR team that is building the SaaS/IaaS platform for digital twin of AI data centers.
The responsibility specifically is for DevOps, infrastructure and Site Reliability Engineering (SRE) requirements for AIR.
Focus on efficiency by automating repetitive workflows.
Working on microservices based architecture.
Deploying and troubleshooting non-disruptive cloud operations with an emphasis on secure production infrastructure.
Continuous evaluation of existing system and driving improvements.
Managing deployment/upgrade for Operating Systems, Kubernetes(k8s) clusters and/or or other orchestration tools.
Day to day support for engineering activities with CI/CD tools like git, Jenkins.
Efficiently multi-tasking on the different tracks to efficiently address evolving priorities .
What we need to see:
BSc in Engineering/ Relevant Certifications/ equivalent experience.
5+ years of experience in complex microservices basedarchitectures
Highly skilled in Kubernetes and Docker
Experience in IaaS environment - deploying, configuring, and administering Linux-based bare metal servers
Strong networking background (VLANs, routing, VPNs)
Experience with relational databases(MySQL) and SQL.
Experienced with modern deployment architecture for non-disruptive cloud operations including blue green and canary rollouts
Infrastructure as code (IaC) skills in frameworks like Ansible & Terraform
Expert in AWS
Knows best practices and discipline of managing and monitoring a highly available and secure production infrastructure
Ways to stand out from the crowd:
Strong expertise in Infrastructure as a Service (IaaS)
Skills in Linux/Unix Administration
Experience with Prometheus/Grafana.
Experience with APM tools like Dynatrace, Datadog, AppDynamics, New Relic, etc.
Implemented robust metrics collection and alerting
- Continuously improve our infrastructure to be more secure, scalable, and robust
- Apply new technologies for internal and external services
- Design, build, and maintain CI/CD pipelines and IaC for our infrastructure
- Architecture planning for cloud-based solutions
- Performance optimization to our workloads and GKE clusters
- Control and develop the monitoring and observability solutions
- At least 5 years of experience as a DevOps.
- At least 3 years of hands-on experience with Kubernetes.
- Knowledge and experience with cloud vendors such as GCP/AWS - Must
- Hands-on experience in production environments - Must
- DB management - MySQL, MongoDB, Redis - Must
- Experience with CI/CD tools such as Github Actions, Jenkins, or GitLab - Must
- Experience with Terraform or other provisioning tools - Advantage
- Development of Kubernetes Operators - Advantage
- High Documentation skills - Advantage
- Experience with operation of 24/7 Highly available production systems - Advantage
These jobs might be a good fit
