לוח משרות דרושים איש DevOps בתל אביב יפו

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a driven, systems-minded Release Engineer to join our AI-Ops team. In this role, you will be the execution layer of our delivery pipeline—the technical gatekeeper who owns the safe, predictable deployment of software and AI models to global edge and cloud systems. You will balance high-speed deployment velocity with rock-solid operational stability. But you won't just be deploying code; you'll be acting as an internal project manager, driving our organizational roadmap by building Agentic AI tools and automating processes to scale our delivery capabilities continuously.
A day in the life and how you’ll make an impact:
* Act as the technical gatekeeper, validating and transitioning versions through strict release gates. Enforce rigorous governance and ensure strict "Definition of Done" criteria are met.
* Lead risk-mitigated rollouts across diverse global hardware environments.
* Monitor real-time deployment performance, Quality of Service (QoS), and algorithmic accuracy, making decisive, crisis-resilient calls to proceed, pause, or rollback to prevent regressions.
* Define and execute comprehensive test plans that verify cross-team dependencies. Validate that new versions meet detection accuracy requirements without degrading infrastructure.
* Triage complex production failures. Look beyond immediate issues to identify root causes using system metrics, logs, and container states, delivering actionable evidence to R&D.
* Build and integrate Agentic AI and LLM-based tools to accelerate log analysis, risk assessment, and deployment troubleshooting.
* Architect automated workflows to eliminate manual overhead and enhance system observability with robust monitors and dashboards.

As a DevOps Engineer, you'll design, build, and operate the security platforms and controls that protect our company's production infrastructure at scale-from Kubernetes clusters and cloud environments to identity and secrets management. You'll work across multiple security domains, building systems that enforce policy, detect threats, and give engineering teams secure-by-default guardrails.
In your day-to-day, you will:
Forge end-to-end security gates by building and enforcing robust, policy-as-code security guardrails at every layer, governing our software supply chain to ensure only vetted and secure code reaches live environments
Defend against next-gen AI threats by securing production systems from vulnerabilities introduced by AI tools and autonomous agents
Leverage AI-assisted engineering workflows for architecture design, debugging, code review, and threat hunting
Own, evolve, and scale identity management and secrets infrastructure, ensuring seamless and secure multi-environment operations
Deploy advanced runtime security tools and engineer automation to streamline incident detection and response
Design and implement critical infrastructure changes across Kubernetes, multiple cloud regions, and data centers in collaboration with infrastructure teams.

As a FinOps Engineer, you'll be responsible for managing and optimizing the financial aspects of our cloud computing operations, including monitoring and controlling AI-related costs. In this role, you will work collaboratively as part of a team, demonstrate initiative, think creatively, and drive innovative solutions. You'll work closely with the CFO and VP of R&D to ensure cost efficiency, budget adherence, and financial transparency across our cloud services.
In your day-to-day, you will:
Work directly with different external hosting providers to manage hosting costs
Manage and monitor cost visibility for multi-data center architecture in a large-scale, multi-cloud environment
Work with financial teams on production-related budgets, forecasts, and expense reports
Create financial models to calculate TCO of new projects
Create financial and usage dashboards, as well as frameworks for efficiency & costs
Partner with the development, support and devops teams to encourage financial responsibility
Stay updated on industry trends and best practices in cloud cost optimization and FinOps methodologies
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.

We are always looking for exceptional talent to join us on the journey!
We are always looking for exceptional talent to join us on the journey!


Your Mission

As an MLOps Engineer at Nuvei, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across .
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

we are looking for a Site Reliability Engineering.
What You'll Be Doing:
Design, build and manage our development and production cloud-native infrastructure in AWS
Establish and evolve standards for microservices (IaC modules, Helm charts, policies)
Build and maintain our product release workflow and continuous integration/delivery systems
Continuously improve visibility into its systems and applications with advanced monitoring, metrics, and log analytics, analysis
Understand, implement, and automate security controls, governance processes, and compliance validation
Play a key role in product planning and execution
Develop internal tools that remove friction and boost developer productivity.
Continuously evaluate and introduce new technologies to improve performance, reliability, and developer velocity

Were hiring a Mid-Level DevOps Engineer to join our growing infrastructure team. You'll be working hands-on with modern AWS-native technologies, helping us scale secure and observable cloud environments, while partnering closely with developers to build and ship reliably.
Responsibilities:
Manage scalable, production-grade AWS infrastructure with Terraform
Maintain Kubernetes clusters, including deployments, autoscaling, and ingress
Handle cross-service communication using Kafka, SQS, or PubSub
Set up observability and alerting using Grafana, Prometheus, and log aggregation tools
Integrate Cloudflare for traffic protection, rate limiting, and caching
Manage and improve CI/CD workflows using GitHub Actions and ArgoCD
Collaborate directly with developers on environment setup, debug sessions, and deployments
Implement IaC and GitOps patterns across services and teams

We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society We are looking for a passionate Elastic Engineer to join a dynamic, data-driven environment. This is a hands-on role focused on building advanced monitoring and cybersecurity solutions, working with large-scale data, and partnering with clients to deliver impactful insights and detection capabilities. Role Responsibilities
* Ongoing operation and maintenance of enterprise Elastic environments.
* Monitoring, alerting, and system management.
* Integration with other cloud and platform services.
* Load and performance testing.
* Design and implementation of Kafka-based ingestion pipelines into Elastic.
* Continuous improvement, stabilization, and optimization of the Elastic platform.

As a DevOps Engineer, you won't just "maintain" infrastructure, you will own it.
You will lead the charge in cloud security automation, using an AI-first mindset to drive extreme efficiency. Your mission is to identify, rectify, and prevent misconfigurations and bottlenecks in advance. You are expected to operate with high autonomy, shaping the future of secure cloud environments by being a proactive force, not a reactive one.
Key Responsibilities:
Innovate & Implement:Design and implement cloud infrastructure solutions with a focus on GCP, including compute reservations, BigQuery, Pub/Sub, GCS, and networking.
Release Engineering: Lead weekly production upgrade cycles across global multi-region environments, including branch-out processes, hotfix management, version gating, and rollback procedures.
Service Deployment & Lifecycle: Own end-to-end service deployments on Kubernetes - from Helm chart creation and Flux/GitOps configuration to production rollout and scaling.
Database Administration:Manage and optimize database infrastructure including MySQL, Redis, BigQuery, Neo4j, Scylla, MongoDB, and PostgreSQL in production environments.
AI Integration: Utilize AI-supporting tools to optimize coding, automate repetitive tasks, and solve complex architectural puzzles. Contribute to AI-native infrastructure such as Vertex AI and AI Gateway services.
Tenant & Customer Infrastructure: Manage customer-specific infrastructure including dedicated compute reservations, tenant provisioning, licensing configuration, and feature flag management across multi-tenant and single-tenant environments.
Infrastructure Automation & Tooling:Develop internal CLI tools and automation scripts (Python) to streamline operations.
Cost Optimization: Drive cloud cost optimization through resource right-sizing, reservation management, database disk reduction, and efficiency improvements.
Service Reliability: Enhance uptime by establishing SLAs, setting up comprehensive monitoring (Prometheus, Grafana, Stackdriver), and participating in the production on-call rotation (including off-hours support).

As a Senior DevOps Engineer supporting our Cortex Research Group, you will lead all DevOps and infrastructure initiatives that empower our researchers to move quickly, securely, and reliably. You will be responsible for designing, building, and maintaining the groups cloud environments, ensuring scalability, stability, and performance across a wide range of experimental and production workloads. Youll serve as the primary point of contact between the Research Group and other critical stakeholders-including Security, Networking, and Compliance teams-ensuring that research projects align with organizational standards while still enabling rapid innovation.
Key Responsibilities
Own and evolve the Research Groups cloud infrastructure and CI/CD pipelines to enable reproducible, automated, and scalable experimentation.
Define and implement standards for infrastructure-as-code, observability, monitoring, and resource optimization tailored to research use cases.
Proactively collaborate with security and compliance teams to enforce best practices for data governance, access controls, and regulatory requirements.
Partner with networking and platform engineers to integrate research workloads into the broader company ecosystem, ensuring seamless operation.
Serve as the primary technical liaison between the Research Group and stakeholders like Security, Networking, and Platform teams.
Mentor engineers and researchers on DevOps best practices, helping to instill a culture of operational excellence and applied learning.

As a Senior IT SRE Engineer, you will be a key player in ensuring the reliability, scalability, and performance of our critical IT infrastructure. You will leverage SRE principles and an automation-first mindset to build and maintain resilient hybrid cloud environments. This role is ideal for a candidate who thrives in a fast-paced, innovative setting and is passionate about solving complex challenges with cutting-edge technology.
Key Responsibilities
Provision, configure, and support resilient hybrid cloud deployment architectures using an Infrastructure-as-Code framework.
Proactively collaborate with development teams to ensure new applications are production-ready, scalable, and reliable from inception.
Develop and maintain tools and frameworks to automate operational tasks, including deployment, monitoring, and recovery.
Conduct thorough root cause analysis of production issues and implement preventative measures to improve system resilience, demonstrating strong problem-solving skills.
Manage CI/CD platforms, Linux infrastructure, and contribute to capacity planning and operational runbooks.
Design and implement proactive service monitoring, alerting, and trend analysis to maintain service availability and performance SLAs.
Participate in an on-call rotation to support critical applications and services, responding to and resolving incidents efficiently.
Contribute to comprehensive documentation related to infrastructure design, deployment, and operational procedures.

We are looking for people who are passionate about leading technology to the extreme.
If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around - where you want to be!
As part of the Security Cloud Engineering team, youll do the following:
Promote a strong security culture using security-driven awareness and best practices for continual security improvement across the business.
Ensure that security countermeasures, mitigations, and containment strategies are implemented on both infrastructure and applications.
Leverage AI within the DevOps and DevSecOps landscapes to maximize security ROI while driving innovation across the global company.
Secure and optimize our cloud services, to ensure robust security and compliance.
Establish and enforce DevSecOps best practices within our CI/CD pipelines and automation processes.
Automate the deployment of security controls and processes to ensure consistent and scalable protection for all security layers.
Develop and implement strategies for proactive threat detection and risk mitigation.
Collaborate with Security, Engineering, and DevOps teams to define and execute security strategy.

We are looking for a talented Senior DevOps to join its Cloud R&D Team.
Our Cloud-based security services combine Big Data analytics, machine learning technologies, and behavioral analysis for cyber threat detection, assessment, and mitigation.

As a Senior DevOps in our team, you will have the opportunity to lead and work with cutting-edge cloud technologies and best-in-class DevOps practices.


What is the job:
Be in charge of complex, distributed, high-scale production cloud systems.
Develop and maintain a modern state-of-the-art CI/CD pipeline to improve R&D processes.
Take responsibility and implement automated build and deployment processes.
Manage and create automated configurations for our Cloud environments.
Integrate test automation into the CI/CD cycle.
Take part in building cloud-based big data solution.
Build cloud-based monitoring and alerting capabilities.
Maintain overall industry knowledge of the latest trends, technology, etc.
Act as the coach and mentor to team members and technical staff.

We are looking for a driven, team-driven, and excellent DevOps Engineer to join our team!
WHAT YOU WILL WORK ON:
Build and maintain production environments in a multi-cloud architecture with multiple providers.
Build a proactive model for quickly identifying and resolving infrastructure bugs.
Get a chance to work with virtually all aspects of our rapidly-developing infrastructure.
Drive the success of our systems advancements, cooperating with the development, support and QA teams.
Introduce cutting edge technologies to support new features in .
Define and lead security principles.

we are looking for a DevOps Engineer.
Job Description:
Implement and manage CI/CD pipelines for continuous integration and deployment.
Monitor system performance and troubleshoot issues as they arise.
Collaborate with development and IT teams to streamline workflows.
Manage cloud infrastructure and ensure high availability and scalability.
Automate system processes and infrastructure deployment using tools like Docker, Kubernetes, or Terraform.