דרושים » תוכנה » Senior DevOps Engineer

We are looking for an experienced DevOps Engineer to join our high-performance team. Youll work closely with development teams to design and implement smarter processes and tools, while embracing a GenAI-driven mindset. In this role, you will help build and scale infrastructure that not only keeps us running smoothly, but also powers next-generation AI-driven applications with speed, resilience, and efficiency. Our Technology Stack sample: AWS, Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo-Workflows, Service Mesh, Nginx, CloudFlare, Hashicorp Vault/Consul, Kafka, RabbitMQ, Prometheus, Grafana, VictoriaMetrics, CircleCI Programming languages: Python, NodeJS, Go, Kotlin

What am I going to do?:

* Maintain and build a large-scale, highly available cloud infrastructure focusing on K8S.
* Improve resiliency and cost efficiency of our cloud infrastructure.
* Use GenAI tools to automate troubleshooting, speed up incident resolution, and improve production reliability.
* Develop AI-driven self-service solutions to accelerate Developer issue resolution and resource provisioning.
* Develop and adopt new tools to make Development and Operations processes more efficient.
* Collaborate with developers to optimize system performance, reliability, and scale.
* Evolve and maintain our AWS infrastructure by improving and adopting new services.
* Support AI/ML/GenAI services with scalable infrastructure and monitoring.
* Maintain our availability by participating in DevOps on-call shifts.
* Mentor DevOps engineers.

Equal opportunities:
Were not about checklists. If you dont meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

We are seeking a highly skilled and motivated Senior DevOps Engineer to join our team. In this role, you will design, implement, and maintain scalable, reliable, and secure infrastructure while enabling development teams to deliver software efficiently. You will be responsible for driving best practices in automation, CI/CD, cloud operations, observability, and infrastructure as code, while mentoring team members and collaborating with cross-functional stakeholders.

Responsibilities

Design, build, and maintain scalable cloud infrastructure (AWS, GCP).
Implement Infrastructure as Code (IaC) using tools like Terraform, Helm.
Manage and optimize Kubernetes clusters and containerized workloads.
Ensure system reliability, scalability, and security across production and non-production environments.
Improve monitoring, logging, and alerting systems for proactive issue detection and resolution.
Develop and optimize CI/CD pipelines to improve software delivery speed and reliability.
Collaborate closely with developers, operations, and product teams.
Participate in on-call rotations and incident response, driving postmortems and improvements.
Mentor engineers and contribute to building a strong DevOps culture.
Continuously evaluate and adopt new tools, technologies, and processes to improve infrastructure and operations.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.

Required Senior DevOps Engineer, Data Platform
The opportunity
Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale.

Senior DevOps Engineer (5871) Were looking for a Senior DevOps Engineer to take full ownership of our production cloud platform (AWS) driving scalability, reliability, and innovation across Kubernetes and Infrastructure as Code (Terraform) environments.

The DevOps Engineer is a key member of the DevOps Team.

As a DevOps Engineer, you will be part of the entire R&D chain, define the deployment processes, orchestrate the provisioning of new services, design and tune the infrastructure to support the growth of our engineering and application scale, and develop tools to increase productivity across teams.

Our Stack

Kubernetes, Micro Services from all the flavors (NodeJS, Python, Kotlin, etc.), GitHub, Bitbucket, Kafka, Redis, RabbitMQ, Postgres, Apache Spark, Cloud Infrastructure, Jenkins, RunDeck, Terraform, MongoDB, Docker, Linux.

We're looking for a talented and experienced DevOps Engineer to join our Platform group.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities:
Take charge of our multi-cloud data platforms uptime, performance, and cost-effectiveness, ensuring a highly available and scalable environment for our data-driven applications
Design, implement, and maintain cutting-edge generative AI engines and tools
Work closely with architects, data scientists, software engineers, and system administrators to design and implement scalable and secure data infrastructure solutions
Contribute to product architectural and infrastructure design, focusing on leveraging backend infrastructure
Drive innovation by continuously evaluating and integrating new technologies to improve our data platforms capabilities and efficiency

We're looking for a talented DevOps engineer.
As a DevOps Engineer you will work on our highly scalable gaming backed and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities:
Responsible for DevOps, Cloud and Monitoring environments - Build infrastructure, tools and services to improve delivery and availability
Be part of product architectural and infrastructure design - Design and leverage the backend infrastructure and its security aspects
Responsible (together with the team members) for the platform, up-time, infrastructure, scale and costs
Work alongside Architects, Developers, System administrators and other tech leads in the company

We're looking for a talented and experienced DevOps Engineer to join our Platform group.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities:
Take charge of our multi-cloud data platforms uptime, performance, and cost-effectiveness, ensuring a highly available and scalable environment for our data-driven applications
Design, implement, and maintain cutting-edge generative AI engines and tools
Work closely with architects, data scientists, software engineers, and system administrators to design and implement scalable and secure data infrastructure solutions
Contribute to product architectural and infrastructure design, focusing on leveraging backend infrastructure
Drive innovation by continuously evaluating and integrating new technologies to improve our data platforms capabilities and efficiency

Required Senior MLOps Engineer - AI Infrastructure
Tel Aviv
As a Senior MLOps Engineer, you will be pivotal in designing, implementing, and maintaining our AI cloud infrastructure. You will join a highly technological team responsible for developing our model-serving platform, optimizing inference, and ensuring reliability and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including product engineering teams, internal clients (both researchers and engineers), and Security and DevOps, to automate processes, streamline operations, and drive impactful changes in our model-serving strategy.
Key Responsibilities:
AI Infrastructure Design & Implementation: Lead the design and implementation of our cloud-native infrastructure, ensuring it is performant, scalable, and cost-effective.
Automation & Streamlining: Help automate and streamline our AI operations and processes, enhancing efficiency and reducing manual intervention.
Cross-Functional Collaboration: Work closely with product engineering teams, including internal clients (both researchers and engineers), security, DevOps, and more, to ensure adoption of our AI platform.
Impactful Contribution: Play a major part in shaping the companys AI serving strategy, focusing on innovation and long-term success.