דרושים » מחשבים ורשתות » Devops Manager

we are looking for a DevOps Tech Lead
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.

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.

We are seeking a highly skilled and experienced DevOps Tech Lead to provide technical leadership across multiple DevOps teams within our R&D organization. As a key member of our DevOps and Infrastructure group at Aura, you will be instrumental in driving best practices, fostering technological innovation, and ensuring operational excellence across our infrastructure. This role offers a unique opportunity to shape the future of our cloud-native solutions, developer experience, and data infrastructure - including the rapidly growing AI and machine learning platform layer that underpins Aura's next generation of intelligent products.
Design Cloud-Native Solutions: Architect and implement scalable cloud infrastructure across multiple environments using Kubernetes and IaC - including purpose-built platforms for AI/ML training, GPU-accelerated workloads, and real-time model serving.
Lead Technical Strategy: Define the technical vision and roadmap for our DevOps capabilities, aligning multiple teams around common patterns, tools, and practices that drive efficiency and reliability.
Boost Engineering Productivity: Enhance Developer Portal, CI/CD pipelines, and internal tooling to shorten release cycles and reduce friction. Build self-service capabilities that let data scientists and ML engineers deploy and monitor models without DevOps intervention.
Optimize Data & AI Infrastructure: Engineer robust platforms that support our data-intensive workloads, ensuring performance, reliability, and cost-effectiveness for critical business intelligence systems.
Drive DevOps Transformation: Champion modern DevOps practices across engineering, establishing shared standards for how Aura builds, deploys, and operates software at scale.
Implement AI Observability: Build comprehensive tracking for AI/ML usage, cost attribution, and governance across users and services.
Mentor & Build Culture: Grow the next generation of technical leaders while fostering a culture of innovation, knowledge sharing, and continuous improvement within the DevOps teams.
What you'll be doing:
Technical Leadership: Shape the future of Aura's infrastructure and influence architectural decisions across the organization.
Wide Range of Technologies: Work across the full DevOps spectrum - from IaC and Kubernetes to data platform and developer productivity tools.
Personal Development: Clear path for career advancement as you demonstrate success and impact - at the intersection of DevOps and AI infrastructure, one of the fastest-growing engineering domains.
Innovation Playground: Experiment with emerging technologies and implement solutions at scale - including GPU scheduling, vector databases, and LLM serving frameworks.
Strategic Impact: Direct line of sight between your work and Aura's business outcomes.

we are looking for a DevOps Tech Lead.
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.

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.

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.

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.

We are looking for a DevOps Team Leader to drive our DevOps vision, infrastructure strategy, and engineering productivity across the organization.
In this role, you will lead a team of 3 DevOps engineers (with expected growth) and partner closely with R&D teams to build scalable, reliable, and efficient development and delivery platforms. This is a hands-on leadership role, ideal for a senior DevOps engineer ready to take the next step into leadership.
The role follows a hybrid work model, requiring on-site presence one day per week in Rehovot and one day per week in Tel Aviv.
Key Responsibilities:
Lead, mentor, and grow a team of DevOps engineers
Remain hands-on in designing and implementing infrastructure, CI/CD, and automation solutions
Define and drive DevOps strategy, roadmap, and best practices
Own CI/CD pipelines, infrastructure-as-code, and deployment processes
Collaborate with R&D teams to improve development workflows and delivery speed
Ensure high standards of reliability, scalability, observability, and security
Oversee monitoring, logging, and incident response capabilities
Provide technical guidance and influence cross-team architectural decisions

Required Manager, Site Reliability Engineering
Location:Tel-Aviv, Israel
Were committed to creating the best experience for business travelers, ensuring that our systems are always reliable, scalable, and efficient. As we continue to grow, were looking for a Site Reliability Engineering (SRE) Manager to join our team in headquarters based out of Tel-Aviv. In this role, you will lead a team of SREs, drive innovation in infrastructure design and automation, and ensure our systems run seamlessly at scale, serving thousands of travelers every day.
What Youll Do
Lead & Mentor the SRE Team: Guide and develop a high-performing team of SREs, fostering a culture of collaboration, reliability, and continuous improvement.
Drive Infrastructure Reliability & Automation: Collaborate with Engineering and Product teams to design and implement scalable, fault-tolerant systems. Leverage IaC tools (e.g., Terraform, CloudFormation) and microservices architectures to automate and improve infrastructure.
Incident Management: Improve incident response processes, reduce MTTR, and proactively mitigate risks. Apply resiliency patterns to ensure systems are fault-tolerant and highly available.
Define & Measure SLOs: Develop service-level objectives (SLOs) and KPIs to track and improve system reliability, using tools like NewRelic or DataDog for observability.
24x7 Production Support: Ensure system availability in a 24x7 environment, applying expertise in AWS (e.g., ECS, Lambda, DynamoDB) and database management for optimal performance.
Optimize CI/CD Pipelines: Automate and streamline deployment workflows using tools like Jenkins or GitHub Actions to ensure faster and more reliable deployments.
Resource Management: Manage team resources, including capacity planning, hiring, and upskilling, to meet evolving business needs.