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We're looking for a talented DevOps Engineer to join our team. As a DevOps Engineer, you will architect and operate scalable, resilient cloud environments, using advanced automation and AI-based tools to improve system health, reduce manual intervention, and optimize infrastructure costs.
Responsibilities:
Own the full lifecycle of the Coin Master platform. Ensure high availability, performance, and cost-efficiency across our multi-region AWS environment.
Design and maintain robust, high-performance infrastructure using IaC. You will focus on building self-healing environments where AI agents continuously monitor and remediate issues in real-time.
Embed security into the infrastructure layer. Leverage AI-assisted tooling to proactively identify and patch vulnerabilities across our Kubernetes clusters and AWS stack.
Build tools and services that empower our engineering team to ship code faster. You are the architect of the platform, ensuring it is intuitive, scalable, and fully automated.

We're seeking an experienced DevOps Engineer to design, automate, and maintain cloud-native infrastructure for scalable microservices deployments while working closely with the SRE team. This role requires 3+ years of hands-on cloud experience with strong Kubernetes expertise and GitOps practices to support development and QA teams across production and development environments.
Provision and manage infrastructure using Terraform IaC across cloud platforms.
Orchestrate advanced Kubernetes deployments with ArgoCD, Helm charts, and GitOps workflows.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalents.
Implement full observability stack with Grafana (Prometheus, Loki, Tempo), Azure Monitor, or equivalent tools for comprehensive metrics, logs, and tracing.
Containerize microservices with Docker and deploy across multi-environment setups.
Automate operations with Bash scripting; develop custom tools in Python/Go as needed.
Manage databases including MongoDB; handle basic L3/L4 networking, protocols, and DNS.
Collaborate closely with SRE team on reliability, incident response, and on-call rotations.
About Us
We are a global leader in enterprise voice technology and Voice AI innovation for the digital workplace and customer experience. We help organizations unlock the full value of voice, transforming every conversation into a strategic asset that drives smarter decisions, better experiences and business growth. Our portfolio spans secure voice infrastructure, unified communications and contact center, with next-generation AI-powered voice solutions. With over 30 years of expertise and presence in more than 100 countries, we are trusted by 65 of the Fortune 100 to power intelligent, agile and future-ready interactions across businesses worldwide.

We are looking for a hands-on DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities:
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.
Drive AI-Powered Automation: Design, build, and deploy infrastructure for autonomous AI agents and agentic flows, integrating AI tooling directly into developer platforms and CI/CD pipelines.
Architect AI Platform Infrastructure: Establish reliable, scalable, and secure AI/DevOps orchestration frameworks to enable continuous deployment and runtime management of AI-driven tools.

As a Tech Lead DevOps Engineer, you'll own the technical strategy for our cloud infrastructure end-to-end, from architecture to production. You'll build the automation frameworks, IaC tooling, and CI/CD systems that let engineering ship fast and safely at scale, while setting the bar for observability, reliability, and incident response across the org. You'll work closely with engineering leadership to shape the infrastructure roadmap and make the tradeoffs between velocity, cost, security, and reliability, acting as a technical multiplier for the broader team.

What Youll Do
Responsibilities:
Own and drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Design and implement advanced automation frameworks, internal developer platforms, and tooling utilizing Python, Bash, and modern infrastructure-as-code technologies (e.g., Terraform, CDKTF).
Architect and continuously evolve CI/CD systems and delivery pipelines at scale, reducing friction and elevating developer productivity and deployment safety standards.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, incident response, and system health.
Partner closely with engineering leadership and cross-functional teams to shape infrastructure roadmaps, enable scalable deployments, and ensure resilient production systems.
Make and own high-impact technical tradeoff decisions that judiciously balance velocity, cost efficiency, security, and reliability in a dynamic, growth-oriented environment.
Serve as a technical mentor and force multiplier, elevating the infrastructure capabilities of the broader engineering organization and championing a DevOps-first culture.

Tech is at the center of everything we do at our company and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the company Technology team might be right for you.
We're looking for a Senior DevOps Engineer with a strong security orientation to join our company's DevOps team.
our company's platform runs at significant scale, and our DevOps team sits at the core of keeping it fast, reliable, and secure. As we grow, so does the scope of what we own - we need an engineer who can step in as a strong pillar of our company's production ecosystem.
This is a hands-on role for someone who takes security seriously, moves fast, and knows how to get things done in a complex, high-scale environment.
our company's Technology Stack:
AWS, GCP, CLoudFlare ,Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo Workflows, Kong & Nginx, HashiCorp Vault, Kafka, RabbitMQ, Mongodb, Aurora Postgresql & Mysql, Prometheus, Grafana, VictoriaMetrics
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

Required DevOps Engineer (GCP Specialist)
We're seeking an exceptional individual to join us in designing, migrating, and optimizing solutions that leverage the full power of GCP, from foundational Landing Zones (based on Fast Fabric principles) to cutting-edge AI capabilities.
If you possess a strong blend of technical mastery, excellent interpersonal skills, and a commitment to excellence, coupled with a genuine passion for GCP and a drive to learn - we invite you to be a part of our growing success.
Responsibilities:
Lead GCP Platform Design & Implementation: Architect, deploy, and manage complex GCP environments for strategic clients, including the establishment of secure and compliant Landing Zones following Fast Fabric principles.
Advanced Infrastructure as Code (IaC): Develop, maintain, and optimize robust Infrastructure as Code using Terraform at an advanced level, ensuring automated, consistent, and auditable deployments.
CI/CD Pipeline Mastery: Design, implement, and enhance Continuous Integration, Continuous Delivery, and Continuous Testing pipelines for seamless application deployments.
Cloud Security & Compliance: Ensure stringent cybersecurity compliance with operational risk standards, centrally defined security policies, and regulatory requirements for sensitive government and defense entities.
Migration & Optimization: Facilitate the migration of critical workloads from on-premise data centers to GCP and optimize existing cloud solutions for performance, cost, and scalability.
AI/ML Integration: Guide and assist clients in leveraging GCP's AI/ML capabilities to unlock new insights and drive innovation within their organizations.
Networking Expertise: Design, implement, and troubleshoot complex networking solutions within GCP, ensuring robust and secure connectivity.
Technical Advisory: Provide expert technical guidance and mentorship to clients, addressing all GCP-related needs and fostering best practices.
Innovation & Research: Continuously explore and integrate new GCP services and products, especially in emerging fields like Generative AI, to maintain a leading edge

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a DevOps Engineer to build and own the platform our autonomous execution engine runs on. You will own how Zipher ships, scales, and stays up — the delivery pipelines, the Kubernetes infrastructure, and the reliability of systems enterprise customers depend on around the clock.
What You’ll Do

* Architect and own GitOps-based delivery — ArgoCD, Helm, Terraform, GitHub Actions — so the engine ships to production safely, many times a day
* Build and operate the Kubernetes platform , including on-demand environments spun up per pull request and torn down automatically
* Design deployment safety into the platform: canary analysis, blue/green rollouts, automated rollback, and an observability stack (Prometheus, Grafana, OpenTelemetry) that surfaces failure first
* Partner closely with backend and data engineers to make production infrastructure secure, reproducible, and cost-aware across AWS accounts and enterprise deployments
* Drive reliability end to end: define SLOs , own incident response, and raise the operational bar for mission-critical services
What We Offer
* Own the platform behind a new category of autonomous cloud infrastructure High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* A small, technical, high-velocity team that values curiosity, speed, rigor, and engineering craftsmanship Top-of-market compensation and meaningful equity

Ready to own the platform that lets an autonomous execution engine run in production? Hit Apply.

We are looking for an experienced DevOps Platform Engineer to join our Application Infrastructure team.

In this role, you will design, build, and operate scalable platforms and infrastructure that enable engineering teams to develop, deploy, and run services efficiently, securely, and reliably.

You will work in a complex, large-scale production environment using AWS, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies.

What youll do:
Design, build, and maintain application infrastructure and platforms used by engineering teams.
Develop scalable, reliable, and secure infrastructure on AWS.
Build and improve CI/CD pipelines, deployment processes, and infrastructure automation.
Manage and operate Kubernetes-based production environments.
Develop self-service tools and platform capabilities that improve developer productivity and experience.
Improve system reliability, availability, performance, and scalability.
Define and implement best practices for infrastructure, deployments, observability, and security.
Lead troubleshooting, incident investigation, and root cause analysis for complex production issues.
Collaborate with R&D, Security, Architecture, Data, and Cloud teams.
Evaluate and implement AI-based tools for infrastructure automation, operational efficiency, incident analysis, and developer workflows.
Develop or integrate AI agents, LLM-based tools, and AIOps capabilities into platform engineering processes.

We are hiring a DevOps Engineer (Engineer 3) for the Identity Protection Operations team. We are looking for a senior-level engineer who is deeply fluent in modern cloud-native technologies and can leverage them to design, build, and continuously improve the systems that power our Identity Protection products. This role is open in Tel Aviv, Israel.

What You'll Do:

Design and implement new services and integrations across a hybrid environment - primarily AWS and an on-premises data center, with additional presence on GCP and OCI - leveraging shared platforms such as Kubernetes, Kafka, and modern monitoring stacks.

Build and maintain CI/CD pipelines (Jenkins) and configuration management workflows using Chef and related tooling.

Write automation, tooling, and glue logic in Bash and Python to reduce toil and accelerate delivery.

Utilize AI and automation platforms (e.g., Claude, n8n) to drive engineering efficiency and intelligent operations.

Contribute architectural insight to platform decisions - understanding system trade-offs and designing for scale and reliability.

Participate in on-call rotations and incident response for production Identity Protection services.

we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets.

Responsabilities:

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.

Were building a secure, high-performance Enterprise Browser that integrates deeply with the Cloud and delivers exceptional usability, security, and manageability for enterprise users. We are looking for a talented Software Engineer with deep systems experience and a passion for modern, secure browser engineering.

Responsibilities:

As a Software Engineer on the Enterprise Browser team, you will:
Design, implement, and maintain core browser components written in modern C++ / Rust / TS, focusing on performance, security, and stability in a multi-threaded environment.
A passion for solving problems and providing workable solutions.
Collaborate across teams (product, UX, backend engineering, security) to define specifications and deliver new features.
Optimize performance and memory usage for complex browser subsystems.
Participate in all phases of the development lifecycle, from design and prototyping to testing, release, and continuous improvement.
Ensure code quality and reliability via unit/integration testing, code reviews, and automated CI pipelines.
Keeping abreast of new technologies and finding opportunities to keep our technology stack up to date.
You will help shape the next generation of our enterprise browser: solving challenging problems at the intersection of security, performance, and user experience.

The Tech Platform organization maintains and evolves the foundational platform and shared services that every other DT workstream depends on. As we assemble siloed products into a single marketplace, getting the platform right - reliable, observable, standardized, and cost-efficient - is the critical variable for execution at marketplace scale.
As a Senior Infrastructure Engineer, you'll design and operate the large-scale distributed systems, data infrastructure, and deployment platforms that serve tens of billions of daily events. You'll help drive our OneDT standardization - including the migration to GitOps/ArgoCD and unified CI/CD - and build the platform capabilities (including ML and data infrastructure) that the rest of engineering builds on.
About the Senior Infrastructure Engineer Role
Design, build, and operate large-scale distributed systems and data platforms for reliability, scalability, and cost-efficiency
Drive the OneDT platform standardization: GitOps/ArgoCD adoption, unified CI/CD pipelines, and a clear developer-ownership model across business lines
Build and operate Kubernetes-based infrastructure, including Spark-on-K8s and data/ML platform tooling (e.g., Databricks ecosystems)
Implement MLOps and data-pipeline capabilities - training, deployment, and serving infrastructure - in partnership with ML and Data teams
Champion observability, automation, and cost-optimization initiatives that improve reliability while reducing spend
Participate in on-call rotations, lead incident response and blameless postmortems, and prevent recurrence through automation and platform improvements.

we are looking for a Senior Site Reliability Engineer (SRE).
As a Senior Site Reliability Engineer on the R&D Infrastructure team in our Tel Aviv Office, youll play a vital role in building, scaling and maintaining high-scale infrastructure across on-premise cloud, public cloud and rapidly growing AI/ML Kubernetes environments. You will push Linux to its limits, writing software and automation to eliminate manual tasks and solving performance bottlenecks across the stack.