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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced MLOps Engineer to join our Platform and DevOps team as part of our Engineering group. We are on the lookout for an individual who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on prem solutions.
Responsibilities:
Design, develop, build and maintain the best solutions for our production platform.
Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
Work closely with our data scientists and developers to create training, inference and serving pipelines.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production, and test environments
Excellent communication and people skills
Work well in a team!
Requirements:
At least 4-5 years experience in one of the following roles: DevOps, MLOps.
Experience with design, build, development and maintenance of DevOps solutions.
Experience with one of the major cloud providers: AWS, GCP, Azure.
Experience Working cloud & on-prem environments and solutions.
Solid Linux system expert skills - a must
Vast Experience with applications and tooling including Kubernetes, Helm, Terraform, Ansible, SQL/NoSQL/Graph DBs, MLFlow, Jenkins, GitHub, etc.
Experienced with CI\CD technologies.
Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
Good coding capabilities (python\bash etc.)
Advantages:
Experience working on endpoint products (agent/sensors/collectors)
Experience working on AI components (Training, inference, serving)
Tech stack:
AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker+Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, MLFlow, Clickhouse, Jupyter and more.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Senior Platform Engineer who is passionate about software design, development, and deployment. The job involves writing production-grade modern DevOps/Platform solutions and will be part of building Computing Services layer which will be deployed anywhere.
Responsibilities:
Develop, build and maintain the best services and solutions for our Computing Services platform.
Apply an Everything as Code (EaC) approach using technologies such as Python, Ansible, Terraform, and Kubernetes.
Build and develop services that will be part of Computing Services and will run on remote infrastructure.
Develop and maintain tools for automation, deployment, monitoring, and operations specifically tailored for remote environments.
Troubleshoot issues in our development, production, and test environments.
Collaborate effectively with team members and communicate complex technical issues clearly.
Requirements:
At least 4-5 years of experience with DevOps or Platform technologies.
Experience with the design, build, development, and maintenance of DevOps services and solutions.
Proven experience working with remote environments and solutions like on-premise or customer private cloud.
Experience with deployment technologies and CI/CD technologies in AWS for building and packaging.
Strong knowledge of networking and security principles, including developing and deploying encryption and signing services.
Proficient coding capabilities in Python and Bash.
Hands-on experience with developing infrastructure services that run remotely, including customized Kubernetes.
Proven track record of delivering packages to remote customer sites.
Experience with air-gapped on-premise solutions is a significant advantage.
Experience with deploying and maintaining robust and automated services/pipelines.
Must-Have Skills:
Kubernetes, Python, Bash, Ansible, Linux, Networking, Docker.
Advantages:
Experience with AI components (training, inference, serving).
Tech Stack:
Kubernetes, Jenkins, Ansible, Terraform, Docker + Compose, MLFlow, Kserve, Minio, GitHub, Python, Bash, Linux, MongoDB, RabbitMQ, Redis, Neo4J.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced Senior Site Reliability Engineer to join our SRE team as part of our Platform Engineering group. This role involves taking ownership of monitoring, deploying, and ensuring the reliability of production-grade modern SaaS platforms across Cloud and On-Premise environments.
Responsibilities:
Lead initiatives to enhance product reliability and system readiness.
Design and implement sophisticated monitoring solutions to ensure high availability and performance of our production platform.
Oversee and refine the entire product reliability pipeline.
Proactively troubleshoot and resolve issues across production environments.
Champion an "Everything as Code" approach using a wide range of technologies including Ansible, Terraform, Helm, Python and more.
Develop advanced tools for automation, deployment, monitoring, and operations.
Exhibit excellent communication and interpersonal skills to effectively collaborate within the team and across departments.
Promoting best practices in reliability and system operations.
Requirements:
At least 4-5 years of experience as a DevOps or Site Reliability Engineer.
In-depth knowledge of microservices architectures and technologies such as Kubernetes.
Comprehensive understanding of cloud & on-prem environments and hybrid solutions.
Proficiency with one or more major cloud providers. (AWS experience is an advantage)
Advanced experience with CI/CD technologies including Jenkins, GitHub Actions, and ArgoCD.
Proficient coding and scripting capabilities in Python, Bash, or similar languages.
Strong team player with proven ability to lead and inspire.
Advantages:
Prior experience with endpoint security products (agents, sensors, collectors).
Background in working with AI components (training, inference, serving).
Tech Stack: AWS, Kubernetes, EKS, RKE2, ECS, SageMaker, Jenkins, GitHub, Terraform, Python, Ansible, Docker + Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.
This position is open to all candidates.
 
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07/04/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking to hire a talented, self-driven and passionate Senior Infrastructure Engineer to build and maintain the cloud infrastructure for our highly available SaaS application as well as our machine learning and data engineering stack.

As a Senior Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining the cloud infrastructure and DevOps processes that power our products and internal tooling. You will work closely with all data and development teams and lead the companys security and compliance vectors. You will ensure a highly reliable, scalable, and secure infrastructure that supports our rapid growth and product innovation, while maintaining observability and cost-effectiveness of our cloud resources and data.

Responsibilities:
Cloud Infrastructure Management: Architect, deploy, and manage our cloud infrastructure (AWS), ensuring high availability, scalability, and security.
Software Engineering: Be a top notch SW engineer, harnessing your coding and architectural skills, as well as researching skills, for our infra stack.
Infrastructure as Code (IaC): Define and maintain infrastructure using tools like Terraform, CloudFormation, or Pulumi to manage resources efficiently and reproducibly.
Monitoring & Incident Management: Build and manage monitoring and alerting systems to ensure uptime, and respond to incidents with root cause analysis and remediation.
DevOps & Automation: Implement and maintain CI/CD pipelines to streamline development workflows and automate deployment processes across development, staging, and production environments, and across different parts of our solution. While our development teams are expected to write and maintain their own CI, you will act as a supervisor and professional authority, and maintain cross team and complex automation.
Collaboration and technical leadership: Partner with software engineers, data engineers, and machine learning teams to support their infrastructure needs and guide the evolution of our infrastructure team.
Cost Optimization: Monitor cloud spend and optimize resources to ensure cost-effective infrastructure without sacrificing performance or security.
Security & Compliance: Implement security best practices, including access control, network security, monitoring and ensuring the infrastructure is compliant with relevant industry standards (e.g., SOC2, GDPR).
דרישות:
Requirements:
Experience: 5+ years of hands-on experience in cloud infrastructure, DevOps and platform engineering in production environments.
Cloud Platforms and IaC: Expertise in managing cloud infrastructure on at least one of the major providers: AWS, GCP, Azure. Proficient in Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi.
Containerization & Orchestration: Solid experience with Docker and Kubernetes.
Monitoring & Logging: Hands-on experience with monitoring tools (Prometheus, Grafana) and logging systems (ELK, Splunk, or equivalent).
Software Engineering: Proficient Software engineering, architecture, as well as scripting languages such as Python, Bash, or Go. Full control of version control systems such as Git.
DevOps Tools: Strong experience with CI/CD pipelines and automation using Jenkins, CircleCI, GitHub Actions, GitLab CI, or similar.
Networking: Strong understanding of cloud networking, VPNs, VPCs, DNS, and firewalls.
Security Best Practices: Experience implementing cloud security best practices, including IAM, encryption, and key management.
Startup Experience: Previous experience in a fast-paced startup environment, where adaptability and hands-on execution are key.
Team Player: Strong communication skills and ability to work cross-functionally with different teams.

Advantages:
ML Infrastructure: Experience supporting machine learning pipelines and deploying ML models to production environments.
Data Engineering: Familiarity with data engineering tools like Apache Spark, Airflow, or similar.#EN המשרה מיועדת לנשים ולגברים כאחד.
 
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09/04/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Backend Infra Engineer with good DevOps orientation to join our Infrastructure team in order to keep building out our products and services to support new and exciting functionalities.

You Will:
Tackle complex challenges: Work on highly available, cloud-native applications used by millions of customers globally, handling millions of transactions monthly.
Immerse in the Fintech industry: Gain deep knowledge of Fintech, including payments, banking systems, fraud prevention, and more.
Sharpen technical skills: Collaborate with a strong engineering team to plan, implement, and maintain our cloud environment, profile and fine-tune services, and improve security.
Join a high-performing team: Work alongside highly experienced DevOps, Infrastructure, and Security engineers.

Responsibilities:
Manage cloud operations, monitoring, and develop tools, including integration of modern OSS tools.
Take ownership of our infrastructure and cloud architecture.
Develop and maintain CI/CD pipelines for cloud, web, and mobile applications.
Own the data infrastructure and continuously improve its scalability and readiness.
Guide R&D team developers in deploying their applications.
Build solutions to monitor, improve uptime, enhance performance, and ensure system stability (SRE).
Uphold high engineering standards for execution, code quality, and customer satisfaction.
Work across multiple cloud environments, including AWS, GCP, and Cloudflare.
Requirements:
Bachelors degree in Computer Science, Software Engineering, or equivalent industry experience.
4+ years of hands-on experience in building and maintaining large-scale, highly available cloud production infrastructure.
Proficient coding skills in Node.js, Python, or Golang.
Strong understanding of distributed systems and complex production environments.
Experience with Infrastructure as Code (IAC) tools such as Terraform, Pulumi, or Ansible.
Solid understanding of security principles and hands-on experience with security tools and products.
Experience managing SQL and NoSQL databases, as well as message brokers like Kafka and RabbitMQ.
Knowledge of Kubernetes and CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI.
Familiarity with networking settings, including VPC and cross-site VPN configurations.
Experience with modern observability/monitoring systems and incident management tools.
Strong skills in performance measurement and tuning.
Startup mindset: Move fast, take ownership, and strive for success.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were growing and looking to hire DevOps Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
Responsibilities
The DevOps teams mission is to create and maintain a stable and scalable platform for our companys solutions and offerings, from code to deployment. Specifically:
Ownership of both the on-prem linux distribution and the cloud infrastructure used to run our solutions (Linux, AWS, Kubernetes, and Terraform)
Package and deploy various solutions (CI/CD on Jenkins and Gitlab)
Improve developers experience and velocity.
Requirements:
What do you need to succeed in this role?
5+ years of experience as a DevOps Engineer
Previous experience developing and maintaining production grade CI/CD systems
Experienced with at least one container framework (Kubernetes, Docker, etc.)
Strong understanding of Linux and Bash scripting
Experience with Cloud providers
A can-do attitude
Ideally, should know the following (nice to haves):
Knowledge of the Debian building process
Experienced with coding in Python
Skilled with Terraform / other IAC tool
Experienced with Jenkins and Gitlab pipelines
Familiarity with Ansible/Chef/Puppet
Cyber security background.
This position is open to all candidates.
 
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08/04/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.
On your day to day We’re on the lookout for a hands-on, experienced MLOps Team Lead to help build and grow our team at Riverside. You’ll play a key role in driving AI innovation by building fast, scalable, cost-efficient, and reliable ML infrastructure that enables our AI model development across multiple modalities and cloud environments. You’ll work closely with AI researchers, software engineers, and DevOps to create smooth ML workflows, manage large-scale GPU clusters, build data pipelines, and ensure everything runs efficiently. You’ll also mentor a team, drive a culture of excellence and good vibes, and take ownership of the employee's full lifecycle, from recruitment to growth and development.
Requirements:
What Will Make You Stand Out?
* 6+ years of experience in Backend Engineering / MLOps / Platform Engineering.
* BSc in Computer Science, Software Engineering, or related field.
* Experience as a Team Lead (or equivalent positions).
* Strong software engineering skills in Python and a proven track record in building production-grade, large-scale backend systems.
* Hands-on experience in ML pipeline automation and large-scale model deployment.
* Deep understanding of Docker, Kubernetes, cloud-native architectures (AWS/GCP) and infrastructure as code (Terraform, Helm, ArgoCD).
* Experience with workflow orchestration engines (such as Airflow, Argo Workflows or Temporal).
* Experience with distributed processing platforms (Apache Kafka or similar).
Leadership
* Proven ability to lead high-impact engineering teams in a fast-paced R&D environment.
* Hands-on mindset with a developed sense of ownership and a bias for action.
* Passion for mentorship, team-building, and fostering a culture of innovation.
* Strong cross-functional collaboration skills and the ability to work closely with researchers, engineers, and other stakeholders.
Bottom line? If you have deep technical expertise, thrive in fast-paced, innovative environments, and are excited by the challenge of building a formidable MLOps team, we want to hear from you.
This position is open to all candidates.
 
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27/03/2025
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We are looking for a talented IT Infrastructure Cloud Engineer with excellent problem-solving skills and desire to take on responsibility, to join our growing IT department.
As an IT Infrastructure Cloud Engineer you will
Design, Support, maintain, and improve IT infrastructure (Cloud Security, Wired and Wireless Networks, ZTNA, Cloud services and more).
Contribute to the fast growth by automating processes, designing fully redundant solutions, improving monitoring & alerting, and more.
Take part in complex IT Infra projects globally.
Evaluate and implement new industry tools and solutions.
Support local and remote IT Teams and end-users with complex IT Infrastructure related issues.
Requirements:
5+ years of hands-on experience in cloud infrastructure, DevOps and platform engineering in production environments.
Cloud Platforms and IaC: Expertise in managing cloud infrastructure on at least one of the major providers: AWS, GCP, Azure. Proficient in Infrastructure as Code tools such as Terraform or CloudFormation.
Containerization & Orchestration: Solid experience with Docker and Kubernetes.
Monitoring & Logging: Hands-on experience with monitoring tools (Prometheus, Grafana) and logging systems (ELK, Coralogix or equivalent).
Scripting abilities in Python, Bash, or Go. Full control of version control systems such as Git.
DevOps Tools: Strong experience with CI/CD pipelines and automation using Jenkins, GitHub Actions, GitLab CI, or similar.
Networking: Strong understanding of cloud networking, VPNs, VPCs, DNS, and firewalls.
Security Best Practices: Experience implementing cloud security best practices, including IAM, encryption, IDP (Okta), key management etc.
Team Player: Strong communication skills and ability to work cross-functionally with different teams.
Problem-solving skills in complex technical environments.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Machine Learning Engineer who is passionate about developing scalable and robust machine learning infrastructures and has a keen interest in leveraging advanced AI models to drive significant business impact. The job involves creating and maintaining high-performance model inference systems that support both batch and real-time AI processing in cloud and on-premises environments.
Responsibilities:
Design and implement scalable, high-availability machine learning inference architectures.
Develop robust systems that efficiently manage the deployment and operation of complex models like LLMs and anomaly detectors.
Utilize AWS technologies such as SageMaker, Lambda, SQS, and Redshift to optimize the performance and scalability of our machine learning infrastructure.
Collaborate with data scientists and AI researchers to ensure seamless integration and optimal performance of machine learning models.
Build and maintain monitoring systems to ensure the stability and efficiency of the machine learning infrastructure.
Troubleshoot and resolve issues related to model performance, infrastructure bottlenecks, and system failures.
Maintain strong communication skills and collaborate effectively within a dynamic team environment.
Requirements:
Proven ability to work effectively in a team setting.
At least 4-5 years of experience in machine learning engineering or a related field.
Strong experience in building and maintaining scalable machine learning infrastructures.
Proficient with AWS services, particularly SageMaker, Lambda, SQS, and Redshift.
Deep understanding of machine learning operations (MLOps) and best practices for model deployment.
Expertise in Python, with familiarity in other scripting languages such as Bash.
Solid experience with big data technologies and data management tools.
Knowledgeable in continuous integration and continuous deployment (CI/CD) practices.
Advantages:
Experience with real-time machine learning model deployment.
Familiarity with cybersecurity applications of machine learning.
Advanced skills in performance optimization for high-throughput systems.
Tech Stack:
AWS (SageMaker, Lambda, SQS, Redshift), Deep Speed, TensorFlow, PyTorch, Scikit-learn, Airflow, Python, Docker, Kubernetes, Jenkins, Terraform, Ansible, GitHub, and more.
This position is open to all candidates.
 
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07/04/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly experienced DevOps Engineering Manager to lead our team. The DevOps Engineering Manager will be responsible for leading and shaping the implementation of DevOps practices across our organization. This role focuses on strategic automation, continuous integration, and delivery, infrastructure as code, and DevOps culture adoption. The ideal candidate will possess a strong background in software development, cloud architecture, and system administration, with exceptional leadership and collaboration skills to drive cross-functional initiatives.
Lead and manage a team of DevOps engineers, providing mentorship, guidance, and support.
Develop and implement advanced DevOps strategies and practices to enhance efficiency and reliability.
Collaborate with software engineering teams to integrate DevOps practices into the development process.
Architect, build and maintain deployment pipelines and automation tools for software releases
Oversee the implementation and support of system and application security measures.
Develop and maintain infrastructure as code using tools like Terraform.
Monitor and troubleshoot production systems and implement automated remediation techniques
Develop and maintain documentation for infrastructure, processes, and procedures
Stay abreast of emerging technologies and trends in DevOps, cloud computing, and software development, and drive their adoption as appropriate.
Requirements:
7+ years of experience in DevOps or related fields, with experience in a leadership role.
Proven experience with container orchestration technologies like Docker and Kubernetes or Swarm.
Extensive experience with cloud computing platforms like AWS, Azure, or Google Cloud (Google Cloud is an advantage).
Experience with configuration management tools like Terraform, Ansible, Puppet, or Chef.
Experience with package managers for Kubernetes tools like Helm, Kustomize, and Kompose (Helm an advantage).
Advanced knowledge of CI/CD tools like GitLab CI/CD, Circle CI, Jenkins, or Argo CD.
Experience with database administration and management.
Advanced Bash scripting skills.
Proficiency in at least one programming language, such as Python or Go (a must).
Experience with monitoring and logging tools like Prometheus, Grafana, or Datadog.
Experience with microservices architecture, API gateways, or Reverse Proxy such as NGINX (an advantage).
Excellent communication and interpersonal skills, with the ability to influence and drive cross-functional initiatives.
Demonstrated leadership experience, including mentoring and guiding team members.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8130969
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6 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
a well-funded AI startup on a mission to revolutionize passenger journeys with intelligent threat detection powered by machine learning and computer vision. Were building cutting-edge AI tools to ensure safer and more efficient travel.
We are seeking a highly motivated and experienced Data Engineer & MLOps Specialist to join our dynamic Data team. This is a pivotal role where you will design and implement scalable data solutions, develop automation for machine learning workflows, and manage critical infrastructure supporting our AI/ML initiatives.
Responsibilities:
Develop and maintain automated pipelines for data transformation, model inference, and monitoring.
Build and manage an annotation database to ensure high-quality labeled data for AI training.
Design and deploy infrastructure for automated ML inference and neural network analysis using tools like Voxel51 and ClearML.
Develop ETL pipelines to integrate production data into the data warehouse for analysis and reporting.
Work on local servers and in the AWS cloud, ensuring efficient and secure processing, storage, and deployment of data and ML models.
Requirements:
6+ years of experience in data engineering, MLOps, Software or a related field.
Strong programming skills in Python and experience with SQL and data platforms.
Familiarity with tools like Voxel51, ClearML, or similar open-source frameworks.
Hands-on experience in building scalable ETL pipelines and managing large datasets.
Solid understanding of modern data technologies, including data processing frameworks, data storage solutions, and workflow orchestration tools.
Knowledge of machine learning workflows and AI environments is a plus.
Excellent communication and collaboration skills.
Bachelors degree in Information Systems, Computer Science, or a related field; advanced degrees are a bonus.
What We Offer:
A chance to design and implement solutions from scratch, shaping the future of data and AI infrastructure.
Work with AI technology in a high-growth startup environment.
Opportunities for career growth and continuous learning.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8157838
סגור
שירות זה פתוח ללקוחות VIP בלבד