דרושים » תוכנה » Senior DevOps Engineer-Harmony SASE 24306

We are looking for a Senior DevOps Engineer with strong engineering skills and a product mindset, who is passionate about platform engineering, developer experience (DevEx), and AI-assisted automation.
This role is ideal for someone who enjoys building scalable internal platforms and paved roads that empower R&D teams to independently take services from design to production. You will focus on reducing friction, increasing developer autonomy, and embedding best practices through automation and tooling.
Location: Tel Aviv (Hybrid)
About Us
we are a global leader in cybersecurity, delivering advanced security solutions that protect organizations worldwide.
The Harmony SASE rocket is building a cloud-native, high-scale security platform that enables secure connectivity for the modern, distributed workforce.
Our DevOps Platform team supports Harmony SASE R&D by providing the infrastructure, CI/CD, observability, and tooling that allow teams to move fast while operating safely in production. We are heavily investing in Platform Engineering, DevEx, and AI-assisted operations to scale our engineering velocity and reliability.
Key Responsibilities
Design and build platform capabilities and self-service tooling that enable R&D teams to deploy and operate services independently.
Develop and maintain Infrastructure as Code and deployment patterns for large-scale cloud environments.
Build and evolve CI/CD pipelines and automation using GitHub Actions and cloud-native services.
Improve developer experience, observability, and operational readiness across production systems.
Explore and integrate AI-driven automation and intelligent tooling into DevOps and platform workflows.
Collaborate with R&D and architecture teams to support new services from design to production.

we are looking for a Senior DevOps Engineer with a strong software development background to build and evolve our internal DevOps platform. You will sit at the intersection of Platform Engineering, SRE, and MLOps - owning the infrastructure and tooling that powers production and enables our developers and data teams to move fast, safely, and with confidence.
If you believe DevOps should be a self-service platform, love automation, and naturally think in systems and end-to-end flows, keep reading.
What You Will Do:
Build a DevOps Platform (Platform-as-a-Product): Create internal services and golden paths that scale across teams (self-service over ad-hoc, repeatable over personal support).
Own CI/CD End-to-End: Design, build, and maintain Jenkins and GitHub Actions pipelines that move code from commit to production with high reliability, visibility, and safety.
Operate and Evolve Our AWS Stack: Hands-on ownership of AWS, including services such as ECS, EKS, Lambda, WorkSpaces, DynamoDB, Redshift, S3, DocumentDB (and the surrounding networking, IAM, observability, and deployment patterns).
Enable MLOps and Data Workflows: Support and automate ML and data pipelines using tools like Airflow, MLflow, and Jupyter Notebooks (plus integrations with compute, storage, and security controls).
Automation First: Eliminate manual work through Infrastructure-as-Code, scripting, and internal tooling. Build reusable components instead of one-off solutions.
Cost Optimization (FinOps): Drive cost visibility and optimization (tagging, budgets/alerts, rightsizing, workload efficiency, and practical trade-offs between cost and reliability).
Security Ownership: Bake security into pipelines and infrastructure (least privilege, secrets management, supply chain controls, vulnerability scanning, hardening, and incident readiness).
Leverage AI to Move Faster: Use AI tools such as Cursor, GitHub Copilot, and Claude Code to accelerate delivery (without compromising quality, security, or reliability).
Cross-Team Collaboration: Partner with Engineering, Data, and AI teams to unblock delivery, improve developer experience, and keep production stable.

We are looking for a hands-on Senior 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.

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.
Responsibilities:
Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance - establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

Your Career The SASE Platform team builds and operates highly available, secure, and globally distributed services that protect users, applications, and data for some of the worlds largest enterprises. Our mission is to deliver cloud-native security and networking capabilities that seamlessly converge networking and security at scale. As enterprises accelerate adoption of cloud, remote work, and AI-driven workloads, the need for resilient, observable, and secure SASE platforms has never been greater. As an SRE, you will play a critical role in ensuring our platform is reliable, scalable, performant, and secure from day one. Your Impact As a Site Reliability Engineer, you will be an integral part of the product and platform lifecycle, partnering closely with software engineers, security experts, and infrastructure teams. You will: Collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance Build and operate automation for provisioning, deploying, and managing infrastructure at global scale using Infrastructure as Code Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments Drive observability best practices, including metrics, logs, traces, SLIs/SLOs, and data-driven incident analysis Participate in on-call rotations, continuously reducing MTTR through automation, runbooks, and proactive reliability improvements Mentor and guide engineers on large-scale cloud and SASE deployments, fostering a strong SRE culture Participate in architecture and design reviews, bringing a reliability and operational excellence mindset Champion reliability, security, and operational maturity across the organization.

Were looking for a Senior DevOps Engineer whos passionate about developer experience, platform reliability, and cutting-edge automation.
This role goes beyond traditional DevOps - youll dogfood our own cloud and Kubernetes optimization products, providing hands-on feedback and product insights directly to our product and engineering teams.
Youll design and own a scalable, resilient, developer-friendly infrastructure while shaping how the company itself builds, deploys, and optimizes in the cloud.
Your ownership will include:
Architect, deploy, and manage Kubernetes-based platforms across AWS/GCP for scalable microservices.
Implement Infrastructure as Code using Terraform, Terragrunt, and Helm, ensuring fully automated, versioned environments.
Build and maintain CI/CD pipelines with Argo CD, GitHub Actions, and GitLab CI to streamline deployments.
Develop Python automation tools and internal platforms that enhance developer experience and reliability.
Continuously dogfood our optimization products (e.g., for Kubernetes and cloud cost automation) - validating their performance, identifying improvements, and advising the product team on real-world impact and UX.
Monitor and optimize system performance, scalability, and cost efficiency using observability and FinOps best practices.
Collaborate with R&D teams to improve developer velocity, CI/CD workflows, and infrastructure resilience.
Champion platform-engineering principles - enabling teams to deploy confidently and operate efficiently.

It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join mission - this role is for you.
:Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

We are looking for a DevOps Engineer to join our dynamic and growing team. This is an opportunity to work alongside top engineers, gain hands-on experience in production environments, and help scale secure, high-performance services used by customers around the globe. You will be part of a fast-paced, startup-like environment, with the backing and stability of a global cybersecurity leader.
Key Responsibilities
Support the deployment and maintenance of scalable, multi-tenant environments across cloud platforms
Assist in automating infrastructure using Infrastructure-as-Code tools and CI/CD pipelines
Monitor and improve the reliability, performance, and security of platform services
Collaborate with development, product, and operations teams to deliver new features and improvements
Troubleshoot infrastructure and application issues in development and production environments
Implement custom user interfaces using the latest programming techniques and technologies
Design, develop, and maintain DevOps-related microservices that support platform automation and reliability
Design and integrate agentic AI capabilities into DevOps workflows to automate decision-making, incident response, and platform operations.

We built a platform that builds businesses. From launching and managing to growing a business, our company is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our Guidance Engine assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, were turning the process of starting, managing, and growing a business into a better experience; were simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business About the Role As a DevOps Engineer, you will help lead our Infrastructure, SRE, CI/CD, Security, and Scale/Performance efforts. Your work will have a direct impact on development processes across the entire R&D organization. You will take a leading role in defining and designing these systems, all to enable our FullStack and data teams to be as independent and successful as possible. At our company, the DevOps team doesnt manage all of our services on their own - they build the tools and guidance so our Development teams can own them end-to-end. The team also builds and maintains internal AI-powered platform capabilities, including in-house MCP (Model Context Protocol) servers that support R&D and data teams with enhanced automation, intelligent workflows, and AI-driven Developer tools.
* Take an active role in the DevOps engineering team that focuses on all aspects of CI/CD infrastructure, GitOps full automation, and operational metrics to ensure the highest productivity for our Cloud infrastructure. This includes contributing to new AI-augmented internal tools and workflows that improve engineering velocity and operational visibility.
* Lead the design and delivery of software and infrastructure to improve the reliability, scalability, and efficiency of our services.
* Design, develop, and maintain our core platform and CI/CD infrastructure and our development environments
* Manage cloud security principles and define best practices
* Build, configure, and tune highly available and fault-tolerant Container Clusters and K8s infrastructures
* Take an active role in defining the teams roadmap
* Develop automation to support our orchestration and application deployment
* Participate in extending our platforms AI adoption across the organization by integrating LLM-powered capabilities into operational and Developer workflows.

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.
What you will do
Automate Deployment and Operation
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.
Monitor and Support Production Systems
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.
Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).
Optimize System Performance
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.
Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.
Develop and Maintain Infrastructure
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.
Secure Infrastructure Access
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.