לוח משרות דרושים איש DevOps

We are seeking an experienced Observability & Monitoring Engineer (SRE/DevOps) to lead reliability, observability, and performance efforts for our most critical applications. This role bridges development, operations, and product, ensuring our systems are robust, scalable, and drive superior business outcomes. The Senior Observability & Monitoring Engineer will design and optimize monitoring strategies, automate operational tasks, and serve as a technical mentor for reliability within the R&D organization.
Key Responsibilities:
Architect, implement, and maintain advanced monitoring, logging, and alerting solutions using Datadog (mandatory), covering infrastructure, application, and business-level metrics.
Lead and optimize reliability, performance, and scalability efforts for PostgreSQL, Redis, SQS, K8s, and cloud-native environments.
Design, build, and maintain automations for operational tasks, deployments, and remediations (Infrastructure-as-Code, CI/CD, self-healing workflows).
Mentor engineers on reliability engineering best practices, monitoring usage, and troubleshooting methodologies.
Lead knowledge sharing by producing high-quality documentation, technical presentations, and internal training.
Perform capacity planning, performance tuning, and proactively address potential bottlenecks or scaling issues.
Stay current with SRE, DevOps, and cloud trends; evaluate and recommend new tools and approaches for continuous improvement.

As DevOps engineer in our company's R&D department, you will be hands-on responsible for building and maintaining the artifacts of our core products and play a pivotal role in shaping the future of our deployment infrastructure and processes. Your responsibilities will include:
Managing continuous integration (CI) processes with a strong emphasis on Jenkins, ensuring smooth, automated workflows for software delivery.
Developing and maintaining deployment solutions across various cloud platforms, primarily On Premise, as well as AWS (Amazon Web Services) and Azure, ensuring scalability and reliability.
Collaborating with cross-functional teams to integrate network and system-level solutions into our deployment processes, enhancing overall efficiency and security.
Leveraging your Windows and Linux knowledge to maintain a diverse and robust installation process.
Actively participating in the full R&D agile team cycle, contributing to both individual and team growth.
Implementing and managing configuration management and CI/CD processes, focusing on automation and optimization.
Ensuring the security, stability, and performance of our products meet the highest standards.

We are looking for a talented and driven VLSI CAD Automation & DevOps Engineer to join our team. This role combines expertise in front-end automation, continuous integration, CAD tooling, and full-stack development to support and enhance our VLSI verification workflows.
What will your job look like:
Flow & CI/CD Automation
Automate RTL lint, CDC/RDC, synthesis checks (front‑end only), and UVM regression flows.
Build and maintain CI/CD pipelines (Jenkins/GitLab CI) for simulation, coverage collection, and sign‑off checks.
Implement pre‑submit checks (lint, CDC) and nightly regressions with dashboards for pass/fail and coverage metrics.
EDA Tooling & CAD Enablement
Manage and integrate front‑end EDA tools (e.g., VCS, Xcelium, Questa, SpyGlass).Develop scripts to parse logs/reports (lint, CDC, coverage, simulation) and generate actionable summaries.
Maintain PDK-independent front‑end tool configurations and flow reproducibility.
Compute & Licensing
Operate and optimize compute farm schedulers (LSF/SLURM/Grid Engine) for simulation and regression jobs.
Monitor and tune license usage for front‑end tools (FlexLM/Lmx), ensuring high availability and efficiency.
Observability & Support
Build dashboards for regression health, coverage trends, and farm/license utilization.
Troubleshoot flow failures, triage environment vs. design issues, and publish runbooks for common problems.

we are looking for talented and experienced DevOps Engineer to join a fascinating and advanced projects that involves working with cutting-edge technologies in a dynamic environment.
Responsibilities:
Design, build, and maintain scalable infrastructure and CI/CD pipelines.
Manage cloud environments and automation processes.
Collaborate with development teams to ensure smooth delivery and deployment.
Monitor system performance and ensure high availability and security.

Were a team of smart, curious engineers building scalable, reliable systems that power content creation for millions. We work with modern web technologies, tackle real-world challenges in distributed systems, and keep things practical - no overengineering, just solid solutions. If you love solving tough problems, moving fast, and building tech that creators actually use, youll fit right in.
On your day-to-day
Were hiring a Mid-Level DevOps Engineer to join our growing infrastructure team. You'll be working hands-on with modern AWS-native technologies, helping us scale secure and observable cloud environments, while partnering closely with developers to build and ship reliably.
Responsibilities
Manage scalable, production-grade AWS infrastructure with Terraform
Maintain Kubernetes clusters, including deployments, autoscaling, and ingress
Handle cross-service communication using Kafka, SQS, or PubSub
Set up observability and alerting using Grafana, Prometheus, and log aggregation tools
Integrate Cloudflare for traffic protection, rate limiting, and caching
Manage and improve CI/CD workflows using GitHub Actions and ArgoCD
Collaborate directly with developers on environment setup, debug sessions, and deployments
Implement IaC and GitOps patterns across services and teams.

abra R&D is seeking for a DevOps Engineer. We are looking for a hands-on DevOps Engineer to support R&D teams by developing and maintaining ML infrastructure, automation pipelines, and deployment environments. Key Responsibilities:
* Build and maintain CI/CD pipelines (GitLab, ClearML) and ML workflows
* Integrate Python applications, ML models, and Dockerized services into internal systems
* Automate data and model pipelines between CVAT, Daita, GitLab, and ClearML
* Provide infrastructure and server support, including installations and troubleshooting
* Collaborate with engineers to debug issues and streamline development environments

We seek a highly skilled and experienced Solution Architect with a deep understanding of DevOps principles and practices to join our team.
In this role, you will be responsible for designing and implementing robust and scalable solutions that enable our customers to streamline their software development and deployment processes.
You will work closely with clients to understand their needs, translate them into technical requirements, and architect efficient, reliable, and secure DevOps pipelines.
Key Responsibilities:
Collaborate with clients to gather requirements and understand their
DevOps challenges.
Design and implement end-to-end DevOps solutions, including CI/CD
pipelines, infrastructure as code, and configuration management.
Leverage cloud technologies and best practices to architect scalable
and cost-effective DevOps architectures.
Automate deployment, testing, and monitoring processes to improve
efficiency and reduce manual effort.
Ensure system reliability, performance, and security throughout the
software development lifecycle.
Stay up-to-date with the latest DevOps trends and technologies.

We seek a highly skilled and experienced Solution Architect with a deep understanding of Data and operations to join our team. In this role, you will be responsible for designing and implementing data-centric solutions that enable our customers to achieve their business objectives, with a strong focus on building efficient and reliable ETL pipelines.
You will work closely with clients to understand their needs, translate them into technical requirements, and architect scalable, reliable, and secure data pipelines.
Key Responsibilities:
Collaborate with clients to gather requirements and understand their data
challenges.
Design and implement end-to-end DataOps solutions, including data
ingestion, processing, storage, and analysis.
Leverage cloud technologies and best practices to architect scalable and
cost-effective data architectures.
Ensure data quality, integrity, and security throughout the data lifecycle.
Automate data pipelines and workflows to improve efficiency and reduce
manual effort.
Stay up-to-date with the latest DataOps trends and technologies.
Provide technical guidance and mentorship to other team members.

Were looking for a Junior DevOps Engineer with at least 1 year of experience to join our team!

This role combines working in a dynamic, modern DevOps environment along with providing IT support to the companys employees.

What youll do:
Maintain and improve CI/CD pipelines.
Work with cloud platforms and DevOps tools such as terraform and k8s.
Provide day-to-day technical support to development teams and employees.
Troubleshoot and manage IT systems.

As a DevOps Manager , you will lead our Cloud infrastructure team. Building and maintaining scalable, secure, and cost-efficient infrastructure. You will drive the adoption of modern DevOps practices, ensuring alignment between business objectives, engineering workflows, and operational excellence. This leadership role requires a balance of hands-on expertise and strategic vision, empowering your team to deliver reliable, high-quality solutions across a fast-paced, dynamic environment. You will play a pivotal role in shaping Fiverrs cloud engineering strategy - optimizing costs, enhancing system reliability, and implementing innovative technologies (including Generative AI-driven automation and insights) to improve productivity and decision-making.

What am I going to do?:

* Lead and mentor a team of DevOps engineers, fostering a culture of collaboration, ownership, and continuous improvement.
* Design, implement, and maintain scalable, secure, and cost-efficient DevOps architectures.
* Continuously evaluate and adopt emerging DevOps tools and best practices to enhance operational efficiency and product quality.
* Drive adoption of Infrastructure as Code, observability, automated testing, and deployment strategies.
* Monitor infrastructure cost efficiency and reliability, providing data -driven insights to leadership.
* Guide the team in exploring and applying GenAI-native tools (e.g., for automating documentation, anomaly detection, self service for developers and performance optimization).
* Partner with cross-functional leaders to influence architecture, operations, and development workflows.
* Report to the VP of Cloud Engineering, contributing to Fiverrs long-term technology roadmap.

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.

Were looking for a talented and experienced DevOps Engineer to join our growing technology team! If youre passionate about automation, cloud infrastructure, and complex on-prem environments wed love to meet you.
Responsibilities:

* Design, build, and maintain CI/CD pipelines
* Manage and monitor hybrid infrastructures both cloud (AWS / Azure) and on-prem environments
* Implement infrastructure-as-code and automation processes
* Ensure smooth deployments and reliable system operations in secured, mission-critical environments
* Collaborate closely with development, infrastructure, and security teams
* Drive initiatives to improve system reliability, scalability, and security
* Participate in overseas installations and on-site integrations when required

Your responsibilities also include creating and supporting reusable application components and patterns, considering both business and technology perspectives. You'll utilize developer tools and a range of AWS services for task management, source code handling, building, deployment, operations, and real-time communication. You are expected to demonstrate advanced skills in application design, implementation, and maintenance, often with minimal supervision.

Beyond technical tasks, you will mentor other engineers, sharing your knowledge and actively contributing to the enhancement of best practices and processes within and across teams.

Responsibilities:

Design, build, and maintain the scalable cloud infrastructure and CI/CD pipelines necessary to support our cutting-edge AI and optimization services.

Champion Infrastructure as Code (IaC) practices using tools like Terraform and Kubernetes to automate the deployment, scaling, and management of our production environments.

Implement robust monitoring, logging, and alerting systems to ensure the high availability, performance, and reliability of all services.

Partner with development teams to streamline the software development lifecycle, improve deployment velocity, and embed best practices for security and operational excellence.

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