דרושים » מחשבים ורשתות » DevOps Engineer

Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
Improve resiliency and cost efficiency of our cloud infrastructure.
Automate tasks and error-handling scenarios.
Develop and adopt new tools to make Development and Operations processes more efficient.
Collaborate with developers to optimize service performance, reliability, and scale.
Evolve and maintain AWS infrastructure by improving and adopting new services.
Maintain availability by participating in DevOps on-call shifts.
Mentor DevOps engineers.

We are looking for a Senior Cloud DevOps Engineer to design, build, and optimize secure, scalable, and efficient cloud infrastructure for a live cybersecurity SaaS product. You will take ownership of infrastructure designs, production reliability, and cloud cost optimization, while working closely with other senior technical teams.

Key Responsibilities:

Design, implement, and optimize cloud infrastructure with a strong focus on scalability, security, and cost-efficiency.
Build and maintain secure cloud networking infrastructure including VPCs, subnets, routing, VPNs, firewalls, and load balancers.
Develop Infrastructure as Code solutions using Terraform, Kubernetes, and Helm.
Enhance CI/CD pipelines and deployment workflows (Argo CD) to support frequent production releases.
Implement monitoring, alerting, and observability systems using Prometheus, Grafana, and logging tools.
Troubleshoot and resolve complex production issues, ensuring high availability and customer satisfaction.
Collaborate closely with development, security, and operations teams to integrate infrastructure with application needs.
Contribute to cloud cost optimization initiatives by improving efficiency and resource usage.
Maintain cloud security best practices and compliance with standards (e.g., SOC2, ISO27001).

seeking a results-driven DevOps Team Lead to head the DevOps and Infrastructure team within our R&D organization. This role requires strategic vision, technical expertise, and a proactive approach to drive operational excellence, empower teams with robust tools and automation, and ensure high system reliability and scalability.

As the DevOps Team Lead, you will be instrumental in delivering critical KPIs, including system uptime, automation, incident management, and collaboration with development and QA teams to enable self-sufficiency. Additionally, you will serve as the leader for strategic projects, identifying opportunities to improve infrastructure and operational processes, setting long-term goals, and executing initiatives that align with Cyberints business objectives and growth.

Key Responsibilities
Strategic Leadership
System Reliability & Uptime

Lead initiatives to ensure system reliability, minimize disruptions, and maintain high availability for Cyberints SaaS platform.
Establish and manage proactive monitoring, alerting, and preventive maintenance strategies.
Drive incident prevention efforts, ensuring robust failover and disaster recovery mechanisms.
Develop and maintain playbooks to enable rapid diagnosis and resolution of issues.
Automation, Infrastructure as Code (IaC), & Self-Service Enablement

Champion the adoption of automation and IaC to streamline infrastructure management and deployments.
Build and enhance self-service tools and frameworks, empowering R&D teams to operate independently with minimal reliance on DevOps.
Continuously improve CI/CD pipelines to optimize deployment speed and reliability.
Collaboration & Support for Self-Sufficiency

Collaborate closely with development, QA, and support teams to deliver tools and frameworks that promote team autonomy and efficiency.
Advocate for cross-functional engagement to align operational processes with R&D objectives.
Provide training and mentorship to teams on using DevOps tools effectively.
Accountability, Ownership, & Scalability

Take ownership of all systems and infrastructure, ensuring solutions are scalable, resilient, and aligned with Cyberints growth objectives.
Establish clear accountability frameworks for maintaining infrastructure and delivering on key projects.
Design and execute a roadmap to support self-service-oriented and scalable solutions.


Identify and lead strategic projects to enhance Cyberints platform scalability, reliability, and operational efficiency.
Develop and execute a roadmap for critical infrastructure and DevOps initiatives that drive business success.
Collaborate with senior stakeholders to align projects with organizational priorities and deliver measurable outcomes.

As a Senior DevOps Engineer , you will design, implement, and manage CI/CD pipelines, collaborate with cross-functional teams, and ensure the high availability and reliability of our cloud-based services and solutions.

Responsibilities:

Design, implement, and manage CI/CD pipelines to automate the deployment of SaaS
Collaborate with development, QA, and operations teams to ensure smooth and reliable software releases.
Monitor system performance and troubleshoot issues to ensure high availability and reliability of our services.
Implement and manage infrastructure as code (IaC) using tools like Terraform, CloudFormation and ARM.
Optimize system performance, scalability, and security.
Develop and maintain documentation for infrastructure and deployment processes.

We are seeking a highly skilled DevOps Engineer to join the TLV Foundation Services Team within the BDC organization. In this role, you will be responsible for designing, implementing, and maintaining scalable, highly available production systems. You will collaborate with developers and global infrastructure teams to ensure seamless deployment, automation, and system reliability.
What Youll Do:
System Reliability & Scalability: Build and maintain highly available, scalable, and resilient production systems.
Automation & Infrastructure as Code: Develop and manage infrastructure using Terraform and other IaC tools.
Cloud Infrastructure Management: Configure and manage AWS, Azure, or similar cloud platforms to optimize performance and cost efficiency.
Containerization & Orchestration: Work extensively with K8s and Istio to manage containerized environments.
CI/CD Pipelines: Design, build, and maintain CI/CD automation using Jenkins, GitHub, or similar tools.
Monitoring & Logging: Implement and manage observability tools for monitoring, logging, and metrics collection in large-scale production environments.
Incident Management: Rapidly identify and resolve production issues, ensuring minimal downtime.
Security & Compliance: Implement best practices for security, access control, and compliance within cloud and on-prem environments.
Collaboration: Work closely with developers and infrastructure teams to streamline deployment, automation, and operations.
Support & Maintenance: Provide on-call support as needed to ensure system reliability.

Required DevOps
Description
As a DevOps Engineer, you will play a critical role in designing, building, deploying, and maintaining our secure and scalable infrastructure. You'll be responsible for managing our cloud environment, automating deployments, and ensuring the high availability and performance of our applications in production environments where uptime and data integrity are absolutely critical.
Your Day-to-Day
Design, develop, and implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud resources on AWS
Design, deploy, and manage containerized applications using Kubernetes
Secure our infrastructure using Web Application Firewalls (WAF) and best security practices
Implement GitOps workflows to manage infrastructure and applications declaratively
Collaborate with development teams to establish and streamline CI/CD pipelines
Automate deployments and infrastructure management using scripting languages like Python and Bash
Troubleshoot and resolve infrastructure and application issues
Stay up-to-date with the latest DevOps tools and technologies.

We are looking for a DevOps Team Lead to lead our geographically diverse team and take ownership of our Cloud Infrastructure and Platform Engineering strategy, enabling high-scale, cutting-edge GenAI products running across 40+ Kubernetes clusters on GCP and AWS.

This role combines technical leadership, team management, and hands-on engineering, requiring solid expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will collaborate closely with engineering teams to design scalable infrastructure solutions, optimize developer workflows, and ensure platform reliability and efficiency.

Role and Responsibilities
Team Leadership & Mentorship: Lead and manage a geographically distributed team, fostering growth, engagement, and professional development. Mentor engineers, conduct performance reviews, career growth planning, and encourage knowledge-sharing across R&D teams.
Cloud & Kubernetes Management: Guide the design and implementation of scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Oversee the development of self-service tools and automation to improve efficiency for R&D teams.
Incident & Reliability Engineering: Collaborate with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Drive best practices for RBAC, IAM, cloud security, and compliance, ensuring robust infrastructure security.
Automation & Infrastructure as Code: Promote adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) for improved automation and consistency.
Cross-Team Collaboration: Align cloud infrastructure goals with business needs by working closely with engineering, security, and product teams.

We're looking for a DevOps Engineer who'll bring the dev stream from build through deploy to production, to maximum efficiency, reliability, security and stability. You'll integrate AI capabilities into our DevOps workflows, facilitate team independence, and maintain adaptive infrastructure that supports our business strategy. By continuously reducing costs and increasing velocity, you'll work in a team effort to achieve our goals. You'll help us make sure we are building the biggest weather platform in the world.

As a DevOps Engineer , You'll:

Develop and adopt AI-powered tools to make Development and Operations processes more efficient
Collaborate with developers and weather scientists to optimize service performance, reliability, scale, security, and cost
Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale
Build self-service platforms for scientists and developers to work independently
Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes
Maintain Production availability by participating in DevOps on-call shifts

Were looking for a Senior DevOps Engineer to join our newly formed Foundations Teama small, high-impact group responsible for the infrastructure, tools, and shared services that power our entire R&D organization.

In this role, youll design, build, and evolve internal platform infrastructure, CI/CD systems, and developer enablement tooling. Your mission is to empower developers across the company to work autonomously, by creating self-service tools, automation, and clear standards that reduce friction and increase reliability.

Youll collaborate closely with engineers across disciplines and partner with the Foundations Team Lead to shape DevOps practices that scale. This is a hands-on role for someone who thrives in high-velocity, mission-critical environments and is passionate about building tools that make developers faster, more productive, and confident in running their own services.

What Youll Do:
Design and maintain scalable, developer-friendly CI/CD pipelines and deployment workflows.
Build self-service tooling and automation that enables teams to manage deployments, environments, secrets, and observability independently
Be responsible for cloud infrastructure and operations foundations
Implement and promote best practices for monitoring, logging, and alerting across services.
Operate and optimize Kubernetes-based production environments, ensuring performance, security, and stability.
Manage infrastructure using Infrastructure as Code (IaC) and ensure repeatability and traceability through tools like Terraform.
Collaborate with R&D teams to support onboarding to internal tooling and promote a culture of enablement over dependency.
Monitor cloud cost, ensuring our cloud operates efficiently.