דרושים » מחשבים ורשתות » DevOps Lead

Were looking for a DevOps Architect to help shape the infrastructure strategy behind our Revenue AI platform. This role sits at the center of our engineering ecosystem, driving architectural direction, improving operational excellence, and enabling teams to scale with confidence. Youll work across engineering groups to identify systemic gaps, define scalable standards, and accelerate execution without becoming a delivery bottleneck.
Youll Own:
Infrastructure Strategy & Standards: Define and evolve our cloud and infrastructure architecture across Kubernetes, networking, observability, security, and data platforms. Establish clear standards and scalable best practices that enable teams to move faster with consistency and reliability.
Technical Debt & System Health Visibility: Continuously identify, prioritize, and drive resolution of cross-team technical debt, architectural gaps, and operational inefficiencies. Create organizational visibility around the most critical infrastructure challenges and opportunities.
Cross-Org Technical Leadership: Partner closely with engineering leaders and teams to influence architectural decisions, challenge assumptions, and ensure solutions are scalable, maintainable, and secure. Lead through expertise and influence, not direct ownership.
Developer Enablement & Engineering Velocity: Provide frameworks, tooling direction, and lightweight prototypes or POCs that empower teams to execute independently with higher quality and efficiency.
Critical Infrastructure Initiatives: Drive major cross-functional initiatives around reliability, scalability, security, observability, and cost optimization from identification through execution and measurable impact.
Youll Solve:
Scaling Complexity: How do we maintain simplicity, reliability, and operational clarity while supporting rapid growth and increasingly complex distributed systems.
Cross-Team Alignment: How do we create architectural consistency across independent engineering groups without slowing down innovation and execution?
Operational Excellence at Scale: How do we proactively surface and resolve systemic weaknesses before they become production issues?
Balancing Speed & Sustainability: How do we enable fast delivery today while protecting the long-term health and scalability of the platform?
AI Infrastructure Evolution: How do we build infrastructure that supports modern AI/ML workloads, GPUs, large-scale data pipelines, and future platform requirements
Youll Impact:
Platform Reliability & Scalability: Your work will directly improve the resilience, scalability, and operational maturity of our infrastructure platform.
Engineering Efficiency: By creating better standards, tooling, and architectural guidance, youll act as a force multiplier for engineering teams across the company.
Long-Term System Health: Youll help reduce operational friction, minimize technical debt, and ensure our infrastructure can support long-term business growth.
Execution Quality Across Teams: Your influence will elevate engineering quality, decision-making, and operational discipline throughout the organization.

We're looking for a Senior DevOps Engineer who owns infrastructure end-to-end, ships with confidence, and raises the reliability bar without being asked. You will work closely with backend, full-stack, and security teams to build a highly available, reliable, and secure production environment. If you get energized by building systems that scale, pipelines that teams love, and platforms that never sleep - this role is for you.
Key Responsibilities
Own and evolve our cloud infrastructure across multi-region production environments, end-to-end.
Lead our GitOps deployment model - designing and maintaining declarative, automated deployment workflows with zero manual gates.
Build, maintain, and optimize CI/CD pipelines with a strong focus on developer experience, reliability, and speed.
Drive DevSecOps "shift-left" culture: integrate security scanning, SBOM generation, and supply chain hardening directly into every pipeline.
Develop automation frameworks for provisioning, scaling, observability, and incident response - increasingly leveraging AI-assisted tooling to reduce toil.
Operate and improve our observability platform: metrics, logs, alerting, dashboards, SLOs/SLIs, and on-call tooling.
Champion zero-trust secrets management and credential-less authentication patterns across the stack.
Partner with architects and engineering leadership on cloud cost optimization, availability, and performance.
Build internal tooling and automation that multiplies engineering velocity across the organization.

We are looking for a seasoned and execution driven DevOps Team Lead. In this role you will drive the evolution of our infrastructure and cloud operations empowering our entire R&D organization. You will lead fully the DevOps aspects of the company including strategic infrastructure management within a multi-cloud environment. In this role you will leverage cutting-edge AI technologies to accelerate important DevOps flows. As a technical lighthouse, you will set the standard for engineering excellence, cloud-native architecture, and operational scale. You will work in a global environment with highly-skilled engineering teams reporting to the VP R&D.



What Youll Do?

Build and lead a strong DevOps team fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end leadership and project management of large-scale cloud infrastructures, driving technical decisions, execution, and outcomes.
Continuously modernize DevOps practices (CI/CD, GitOps, monitoring etc) to drive efficiency, agility, and performance across the organization.
Use AI-powered tools and agentic workflows to improve R&D efficiency.
Design and maintain cloud environments using Infrastructure as Code.
Our stack - Mainly GCP and AWS, Kubernetes, Terraform, Terragrunt, Node.js, Golang and more

As a Senior DevOps Engineer within the XSPM team, you will be a critical, go-to technical expert responsible for the health, performance, and evolution of our database and infrastructure systems. When production databases degrade or behave unexpectedly, you are the person who dives deep, investigating root causes hands-on, understanding the underlying mechanics of the problem, and designing lasting solutions. Your mastery of database systems makes you the authority the team relies on to diagnose complex performance issues, architect better data solutions, and ensure our infrastructure scales with confidence.

Beyond databases, you will drive our DevOps practices end-to-end - CI/CD pipelines, infrastructure automation, and operational reliability across the XSPM platform. This is a high-impact, highly visible role at the intersection of database engineering and DevOps, where your expertise directly shapes how the team delivers and operates at scale.

We're a highly collaborative, friendly, inclusive and diverse group that prizes collaboration over competition. We provide opportunities to learn new skills, mentor fellow engineers, and contribute to the direction of both the team and the products for which we're responsible. We work in a distributed, high-trust environment where you manage your own time and have the flexibility to balance your work and personal life.

What You Will Do:

Serve as the team's database expert, the first person to investigate, diagnose, and resolve complex performance problems across our production database systems (MongoDB, OpenSearch, PostgreSQL, Cassandra).

Perform deep-dive root cause analysis on database performance issues, understanding query execution internals, resource consumption patterns, cluster behavior, and system-level interactions to identify the real source of problems, not just symptoms.

Design and propose better database architectures and solutions, recommending when to re-architect data models, migrate workloads, introduce new technologies, or redesign how services interact with their data layer.

* You will put in every effort within the team to ensure the data architecture is well designed.

Own capacity planning, scaling strategies, and high-availability designs for database clusters, ensuring systems are built to handle the team's growth trajectory.

Act as the bridge between development and infrastructure, advising engineers on how their application patterns impact database performance and guiding them toward sustainable solutions.

Build and maintain CI/CD pipelines, infrastructure-as-code (Terraform, Helm, Kubernetes manifests), and automated deployment workflows for the xspm team's services.

Design and manage observability stacks, dashboards, alerting rules, and SLOs, to maintain best-in-class availability for critical data pipelines and services.

Drive infrastructure automation to reduce operational toil, including automated scaling, self-healing systems, and configuration management.

Participate in on-call rotations, incident response, and post-incident reviews, driving root-cause analysis and long-term reliability improvements.

Evaluate and adopt new database technologies and infrastructure tooling that align with the team's evolving data architecture needs.

We are looking for an experienced SRE Team Lead to drive the reliability, observability, and automation practices across our private cloud infrastructure and operations. In this role, you will lead a team of site reliability engineers, own the engineering roadmap for monitoring and automation, and act as a key liaison between development, operations, and platform teams. You bring at least 3-4 years of hands-on people management experience and a deep technical background in SRE or DevOps disciplines.



What will you do?

Leadership & Team Management

Lead, mentor, and grow a team of SREs, providing technical direction, career development guidance, and day-to-day management.

Own the team roadmap for reliability, observability, and automation initiatives - prioritizing work, removing blockers, and driving delivery.

Conduct regular 1:1s, performance reviews, and hiring processes to build and sustain a high-performing team.

Foster a culture of operational excellence, blameless post-mortems, and continuous improvement.

Act as an escalation point for complex incidents and reliability issues, leading post-incident reviews and ensuring follow-through on action items.


Automation & Infrastructure

Design, develop, and maintain automation tools to support infrastructure and operations teams at scale.

Manage pipelines and infrastructure workflows using Jenkins, Ansible, Python, and Bash.

Drive the adoption of infrastructure-as-code practices across the organization.

Collaborate with system engineers to improve scalability, performance, and fault tolerance of critical systems.


Monitoring & Observability

Build and extend monitoring and alerting systems using Grafana, the ELK (Elastic) stack, Zabbix, and custom scripts.

Implement and enforce observability best practices to ensure full visibility into systems, applications, and infrastructure.

Define and track SLIs, SLOs, and error budgets across key services.

Partner with development teams to embed observability earlier in the software development lifecycle.


Database & Platform Support

Support monitoring and infrastructure integration for databases including MongoDB and PostgreSQL.

Maintain documentation and champion knowledge sharing around automation, monitoring, and reliability practices.

Required Al Infrastructure & Reliability Engineer
What this role is really about
Youll join a 3-person platform team within our Business Technology group -owning the internal infrastructure that our AI platform and its users depend on. This isnt a product engineering role, and it isnt ticket work or babysitting pipelines someone else built. Youre building and operating the internal foundation that the company runs on. The work covers the full stack of platform engineering: core cloud infrastructure (AWS, Kubernetes, IaC), CI/CD pipelines, AI-driven infrastructure components, and the SRE and observability practice that keeps it all honest -metrics, alerting, incident response, and reliability standards. As our AI capabilities grow, so does the complexity underneath them, and staying ahead of that is central to the role. If you treat infrastructure as a product -reusable, automated, observable, and built to last -this is your kind of role.
Job responsibilities
DevOps & AI-Driven Infrastructure - own CI/CD, deployment processes, and release reliability. Build and operate cloud infrastructure that is automated, intelligent, and continuously self-improving - not just managed.
Design and build our Terraform repository and IaC pipeline from scratch -AI-assisted generation, drift detection, and policy enforcement built in.
Build AI-driven GitHub Actions pipelines -automated code review, risk assessment, and intelligent deployment decisions.
Manage Kubernetes workloads across AWS accounts -zero downtime, fully automated, nothing left behind.
Embed AI into the operational layer -proactive drift detection, automated remediation, and intelligent scaling toward a self-healing runtime.
Reliability & SRE -improve uptime, resilience, and incident response.
Define and enforce SLOs/SLIs, error budgets, and on-call practices.
Lead incident response, postmortems, and systemic reliability improvements.
Own AI-specific reliability: model latency SLOs, token quota monitoring, rate limit handling, fallback and retry strategies, and cost-per-request alerting.
Observability & Telemetry - increase visibility, reduce noise, improve troubleshooting.
Establish and continuously evolve the observability stack: metrics, logs, distributed tracing, and alerting tuned for both application and AI workloads.
AI / LLM Operations- bringing AI systems to production and operating them at scale, with a focus on reliability, performance, and trust.
Own the AI infrastructure layer: rate limits, quota management, latency SLOs, and fallback strategies (retries, circuit breakers).
Operate LLM APIs in production with resilience and cost attribution per team/model.

Required DevOps Engineer
About the role:
Our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

We are looking for an experienced SRE Engineer to drive the reliability, observability, and automation practices across our private cloud infrastructure and operations. In this role, you will be in a team of site reliability engineers, own the engineering roadmap for monitoring and automation, and act as a key liaison between development, operations, and platform teams. You bring at least 4+ years of hands-on people management experience and a deep technical background in SRE or DevOps disciplines.

What will you do?

Automation & Infrastructure
- Design, develop, and maintain automation tools to support infrastructure and operations teams at scale.
- Manage pipelines and infrastructure workflows using Jenkins, Ansible, Python, and Bash.
- Drive the adoption of infrastructure-as-code practices across the organization.
- Collaborate with system engineers to improve scalability, performance, and fault tolerance of critical systems.

Monitoring & Observability
- Build and extend monitoring and alerting systems using Grafana, the ELK (Elastic) stack, Zabbix, and custom scripts.
- Implement and enforce observability best practices to ensure full visibility into systems, applications, and infrastructure.
- Define and track SLIs, SLOs, and error budgets across key services.
- Partner with development teams to embed observability earlier in the software development lifecycle.

Database & Platform Support
- Support monitoring and infrastructure integration for databases including MongoDB and PostgreSQL.
- Maintain documentation and champion knowledge sharing around automation, monitoring, and reliability practices.

As a Senior DevOps Engineer In Threat Cloud, you will be pivotal in designing, implementing, and maintaining our cloud infrastructure. You will join a highly technological team responsible for managing Threat Cloud AI cloud environments, optimizing infrastructure, and ensuring security and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including R&D, Security, and Product teams, to automate processes, streamline operations, and drive impactful changes in our cloud strategy.
Key Responsibilities
Impactful Contribution: Play a major part in shaping the Threat Cloud strategy, focusing on innovation and long-term success.
Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies like Kubernetes, , GitOps and Data Lake solutions.
Tackle large-scale production issues and bring out-of-the-box thinking to the table
Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
Evaluate new cloud-native technologies and vendor products to continuously improve our infrastructure.