דרושים » ניהול ביניים » DevOps Engineer

Required Senior DevOps Engineer
Our main Engineering challenges
Build efficient and easy-to-use web products used by thousands of users working for the worlds most premium publishers, advertisers, and agencies.
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
Bring a wide diversity of profiles to the same level of quality and knowledge
Work in an international environment with offices located in Israel, Slovenia and France.
Build the Core Platforms That serves hundreds Engineers
Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.
We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.
We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.
What will you do?
As a Senior DevOps Engineer, you will:
Own Core Data Platforms: Design, manage, and scale our diverse portfolio of datastores, including Cassandra, RDS/Aurora, Redis, Elasticsearch, and more.
Evolve Observability: Champion and advance our observability stack (Prometheus/Thanos, Grafana & ELK) to provide critical, real-time insights for hundreds of services.
Strengthen Reliability (SRE): Drive SRE best practices, including automating disaster recovery drills, managing our alerting strategy (AlertC), and improving system-wide resilience.
Modernize CI/CD: Help administer and optimize our CI/CD infrastructure, which includes Jenkins, Teamcity, and GitHub Actions.
Automate Everything: Leverage our Kubernetes and GitOps (ArgoCD/Flux) foundation to manage infrastructure as code, enhance developer self-service, and eliminate toil.
Collaborate & Consult: Act as a subject matter expert, partnering with development teams to help them choose, implement, and operate their data and observability solutions effectively.

The Core Platform Engineering group is looking for a passionate, talented, and strong DevOps Engineer to drive the design and development of our next-generation SaaS Management Platform and infrastructure that delivers our Liquid Software vision to thousands of organizations across all major cloud providers (AWS, GCP, & Azure).
You will work with a team of highly-skilled, passionate DevOps engineers building a cloud-native infrastructure to smoothly run our systems and automate all aspects of our engineering platform. You should be driven by technology and enjoy automation, while being passionate about customer satisfaction.
As a DevOps Engineer , you will...
Work with cutting-edge technologies, utilizing the latest tools like Kubernetes, Helm, Prometheus, Thanos, and OpenTelemetry to build next-generation SaaS platforms
Operate across major cloud providers, including AWS, GCP, and Azure to build and scale our infrastructure, while proactively identifying bottlenecks and inefficiencies to implement automation and optimization solutions
Design, deploy, and optimize Kubernetes-based environments for applications to ensure high-availability and scalability
Establish and manage comprehensive monitoring and logging systems, such as Coralogix and Grafana, to proactively identify issues and ensure full uptime in production environments
Collaborate closely with various teams across , including R&D, Product, and Security, to ensure that DevOps practices adhere to security standards and compliance requirements
Participate in technical discussions to influence the roadmap and help make key decisions regarding the successful implementation of cloud platform initiatives
Design innovative solutions for monitoring large-scale SaaS environments, keeping both application and infrastructure challenges in mind
Implement CI/CD automated processes with a heavy emphasis on monitoring tools and deployment orchestration to streamline delivery

we are looking for a DevOps Ninja! If you have a strong passion for building next-generation DevOps platforms in SaaS at scale, consider joining JFrog as a Senior DevOps engineer. You will lead large-scale, cross-team efforts and work closely with R&D architects to provide the best DevOps angles for SaaS solutions.
As a Senior DevOps Engineer , you will
Design end-to-end DevOps solutions to fit JFrogs exceptional SaaS needs, scale, and diversity.
Integrate production-grade services on AWS, GCP, and Azure
Evaluate new cloud-native technologies and vendor products to improve our SaaS offerings continuously
Investigate and analyze JFrogs top customers' use cases to help keep the bar high.
Collaborate with teams in the organization to ensure we always meet our customers' needs.

We are seeking a highly motivated and experienced Senior QA Engineer to take our quality to the next level.
As a Senior QA Engineer you will...
Work closely with multiple R&D teams across Security.
Enable development teams to own testing and automation as an integral part of delivery.
Design scalable quality strategies, testing frameworks, and quality gates to ensure high standards without slowing down development.
Act as a technical authority as you guide teams on testability, observability, and risk-based testing, as well as non-functional quality aspects such as security, performance, and reliability.
Partner with Engineering, Product, and DevOps to continuously improve how quality is designed, measured, and enforced across the product lifecycle.

We are looking for a skilled and highly motivated senior software engineer to join and play an integral role on the Runtime team, part of the MLOps group at JFrog ML. This team is responsible for building high-quality, enterprise-grade deployment and serving infrastructure for classic ML models and LLMs - ensuring they are efficiently deployed, monitored, and scaled to handle millions of requests across multiple cloud platforms, including GPU-powered machines. As a core member of the team, youll tackle meaningful and engaging challenges across a diverse technological stack.

We value creative, fast learners and independent thinkers who are proactive, collaborative, and capable of driving tasks from concept to production

As a Senior Software Engineer at JFrog ML you will...
Be an integral part of a highly skilled team working to build the leading MLOps platform in the industry
Maintain and evolve the Runtime teams products, ensuring their reliability and scalability.
Design and develop a complete hosting system that supports various types of inference, analytics, monitoring, distribution, and more - enabling customers to run large-scale real-time, batch, and streaming ML pipelines
Play a key role in shaping our cross-company engineering culture
Conduct high-quality design reviews with a strong emphasis on scalability, maintainability, security, and sound use of design patterns
Write maintainable, well-tested code in multiple programming languages.
Continuously improve the efficiency, scalability, and stability of critical system components

We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group and lead the backend implementation and architecture of AI/LLM solutions - from agent graphs and tooling to RAG, streaming, and production deployment.
As a Senior ML Engineer you will
Design and own agent architectures - Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
Turn product and user needs into backend AI - Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
Design, develop, and deploy GenAI capabilities end-to-end - LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP.
Raise the bar on quality and reliability - Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.
Mentor and align the team - Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely.

Were looking for a highly skilled, independent, and driven Machine Learning Engineer to lead the design and development of our next-generation real-time inference services - the core engine powering  algorithmic decision-making at scale. This is a rare opportunity to own the system at the heart of our product, serving billions of daily requests across mobile apps, with tight latency and performance constraints.
we are a mobile marketing and audience platform. we empower the mobile app ecosystem, simplifying mobile marketing, audience building, and mobile monetization. With direct integration into over 500,000 mobile apps, our platform processes enormous volumes of first-party data to drive intelligent, real-time decisions that fuel growth for our partners.
Youll work at the intersection of machine learning, large-scale backend engineering, and business logic, building robust services that blend predictive models with dynamic, engineering logic - all while maintaining extreme performance and reliability requirements.
Job Description:
Own and lead the design and development of low-latency Algo inference services handling billions of requests per day
Build and scale robust real-time decision-making engines, integrating ML models with business logic under strict SLAs
Collaborate closely with DS to deploy models seamlessly and reliably in production
Design systems for model versioning, shadowing, and A/B testing at runtime
Ensure high availability, scalability, and observability of production systems
Continuously optimize latency, throughput, and cost-efficiency using modern tooling and techniques
Work independently while interfacing with cross-functional stakeholders from Algo, Infra, Product, Engineering, BA & Business.

We are looking for an experienced and leadership-oriented ATE Software team leader to lead our software ATE development team. In this role, you will manage a team of software engineers, overseeing the design and execution of advanced ATE software for electronic cards and calibration systems used in our cutting-edge AESA radar technology The ideal candidate will combine strong software management skills with a deep understanding of RF systems and hardware-software integration. Key Responsibilities:
* Lead, mentor, and manage a team of ATE software engineers.
* Lead the design and development of automated TEST software for electronic cards and radar calibration.
* Oversee the full software development lifecycle, from requirements definition to deployment on the production line.
* Collaborate closely with Hardware, system, and RF engineers to ensure seamless integration of software with complex testing equipment.
* Drive technical excellence, code quality, and the implementation of best practices within the team.
* Manage project timelines, milestones, and resource allocation to meet delivery goals.

We are looking for an experienced malware researcher to join the team. As a Malware Researcher , you will perform research on source code, compiled code, and various software supply chain attacks. The position requires proven experience in security nomenclature and an understanding of both high-level and low-level attacks.
As a Malware Researcher you will...
Research malicious code in public repositories from various coding languages and technologies
Define and implement ways to automatically detect malicious code in open source software
Write technical reports and outward-facing publications regarding all research subjects mentioned above