דרושים » מחשבים ורשתות » DevOps Engineering Manager

We are seeking a Senior DevOps Engineer to collaboratively design, maintain, and expand cloud infrastructure with an automation-first mindset. As an active participant throughout the software development lifecycle, individuals in this role consider security, efficiency, and sustainability with every decision and are prepared to navigate a dynamic technological and business landscape.

Your Responsibilities:

Design, implement, and maintain cloud infrastructure using best practices on platforms such as AWS.
Develop and maintain CI/CD pipelines for automated build, test, and deployment processes
Collaborate with development teams to optimize application performance, scalability, and reliability
Automate infrastructure provisioning, configuration management, and monitoring using tools like Terraform
Implement and maintain monitoring, logging, and alerting solutions to ensure system health and performance
Troubleshoot issues across the entire stack, from network and infrastructure to application code
Continuously evaluate and implement improvements to streamline processes and increase efficiency
Ensure compliance with security standards and best practices in all aspects of infrastructure and deployment processes.
Mentor junior members of the team and provide technical guidance and support.
Innovate beyond standard operational tasks by actively designing how they are executed.

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.

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.

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.

We are looking for a Platform Engineer (DevOps) to join our Core R&Ds Platform Engineering team.

We believe that our development platform is not just a means to an end but a product in its own right. As a Platform Engineer, you will be at the forefront of crafting, enhancing, and optimizing this critical foundation, to support our Core R&Ds innovation and growth.

From enabling our product teams, to maintaining our build system, to owning both our internal and open-source infrastructure, this team plays a central role in our business operations.

Why would you love this job?
As a Platform Engineer in our R&D, you will play a critical role in shaping and optimizing our development platform, ensuring a seamless developer experience, fostering a culture of efficiency and innovation. You will have a large impact on how we delivers and provides solutions that will impact Databases for thousands of customers and some of the worlds largest companies.

What will you do:
Collaborate with software engineering teams to optimize development pipelines and improve the overall developer experience.
Actively champion and drive innovative solutions and processes within the platform engineering team.
Own and continuously improve the build and CI systems of our Enterprise.
Continuously improve the security posture of us.
Contribute to the design and architecture of distributed systems, ensuring scalability, security, and maintainability.
Optimize alerting and monitoring systems to maintain high availability and quick response times.

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.

Required DevOps (Data Platform Group)
Main responsibilities:
Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.

Required Data Infra Engineer
Main responsibilities:
Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate componments for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
Project Management: Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
Efficiency and Reliability: Design and build monitoring tools to ensure the efficiency, reliability, and performance of data processes and systems.
DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.
Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.