דרושים » מחשבים ורשתות » DevOps Engineer Deployment & Infrastructure

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.

At our company, we are building an AI-First company, leveraging cutting-edge technology to revolutionize climate intelligence.
our company's engineering department is focused on building life changing software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer-centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide.
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 at our company, 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 seasoned DevOps professional to join our team and play a key role in shaping the infrastructure and delivery processes that power our technology. In this role, youll architect and build robust CI/CD pipelines, automate and optimize critical infrastructure, and work closely with cross-functional teams to deliver scalable, secure, and highly available systems.
Responsibilities:
Architect, develop, and optimize robust CI/CD pipelines to streamline software delivery and deployment processes.
Automate, orchestrate, and enhance mission-critical infrastructure while ensuring system scalability, security, and high availability.
Collaborate closely with R&D, product teams, and engineers to understand challenges and provide tailored DevOps solutions.
Continuously evaluate, refine, and innovate DevOps methodologies, tools, and best practices to maximize efficiency.
Troubleshoot and resolve complex issues across development, testing, and production environments, ensuring seamless system operations.
Operate with a DevOps-first mindset, championing collaboration, automation, and observability.
Stay ahead of the curve with emerging technologies, industry trends, and best practices, driving continuous improvement.

We are looking for a DevOps DevOps Engineer to 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 is a hands-on engineering , requiring deep expertise in cloud-native technologies, Kubernetes at scale, and modern DevOps principles. You will work closely with engineering teams to design and implement scalable infrastructure solutions, optimize developer workflows, and ensure reliability and efficiency across our platform.
Role and Responsibilities:
Cloud & Kubernetes Expertise: Design and implement highly scalable multi-cluster Kubernetes environments across GCP & AWS.
Developer Experience & Enablement: Lead the development of self-service tools and automation that improve efficiency for R&D teams.
Incident & Reliability Engineering: Work with engineering teams to optimize cost, performance, and reliability of production infrastructure through monitoring, capacity planning, and scaling strategies.
Security & Governance: Contribute to best practices for RBAC, IAM, cloud security, and compliance while ensuring infrastructure reliability.
Automation & Infrastructure as Code: Drive adoption of GitOps workflows and Infrastructure as Code (Terraform, Helm, Crossplane) to enhance automation and consistency.
Mentorship & Team Growth: Provide technical mentorship within the platform engineering team and contribute to knowledge-sharing across R&D.
Cross-Team Collaboration: Work closely with engineering teams to align cloud infrastructure goals with business needs and reliability requirements.
Technology Assessment: Assess and advocate for new technologies that improve reliability, efficiency, and scalability within the platform.

Join our DeviantArt team as a Senior DevOps Engineer and play a pivotal role in maintaining and architecting a robust infrastructure that powers one of the largest online art communities. You'll be at the forefront of ensuring our platform's high availability, performance, and security, handling over 1.5 billion monthly page views.
The DeviantArt DevOps Team is a very small remote team that performs all tasks normally inclusive of SRE/DevOps/Infrastructure Engineers, with a bit of networking, security, and database administration mixed in. We are responsible for the day-to-day management and implementation of large-scale, mission-critical production systems that run on a public cloud.
This role requires wearing a lot of hats, and is equal parts fun and challenging. In this role, you will:
Architect and maintain a highly available infrastructure with a focus on proactive and reactive DDOS mitigation, autoscaling, self-healing, site performance, and cost optimization
Participate in a 24/7 on-call rotation, responding swiftly to outages or performance issues, and focus on less urgent alerts during normal work hours
Maintain and develop a developer environment and CI/CD pipelines in parity with production systems, for seamless testing and release of changes
Automate infrastructure provisioning and management using configuration management tools, complete with tests and documentation
Optimize and support sharded MySQL databases for efficient and reliable data handling amidst growing data reads and writes
Regularly update system components to avoid security issues and ensure up-to-date technology
We take our work seriously, but we dont take ourselves too seriously! We enjoy designing and building systems using open source tools and industry standards, and are in the fortunate position to be able to make decisions as a team about adopting newer technologies, and redesigning our infrastructure when appropriate.
This role is on a fully remote and distributed team, and asynchronous communication within and across teams is crucial. To be successful in this role, a candidate will need to work flexibly, balancing server and service issues, needs from development teams, security needs, and shifting priorities in our own tasks in managing our infrastructure.

As a Senior DevOps Engineer, you will be responsible for building and maintaining scalable, reliable infrastructure and deployment pipelines with a strong emphasis on security integration throughout the software delivery lifecycle. You will work closely with development teams to improve development velocity while ensuring system reliability, security, and performance. This role is critical in bridging the gap between software development and operations, implementing DevSecOps best practices throughout our organization.

Main Responsibilities:
Infrastructure Management: Design, implement, and maintain cloud-based infrastructure using Infrastructure as Code principles
CI/CD Implementation: Build and optimize continuous integration and continuous deployment pipelines to enable rapid, reliable software delivery
Automation: Develop automation scripts and tools to streamline operations and eliminate manual processes
Containerization: Manage containerization strategies and orchestration using Docker and Kubernetes
Security Integration: Implement security scanning, testing, and validation throughout the CI/CD pipeline
Vulnerability Management: Conduct regular security assessments and remediate vulnerabilities in infrastructure and application code
Compliance Automation: Automate compliance checks and reporting to ensure adherence to security standards
Performance Optimization: Analyze and optimize system performance, scalability, and cost-efficiency
Documentation: Create and maintain thorough documentation for infrastructure, deployment processes, and operational procedures
Incident Response: Participate in on-call rotations and lead incident resolution with thorough post-mortem analysis

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Engineering Team
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 practicalno 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 looking for a Head of DevOps to lead the evolution of our infrastructure and DevOps methodologies as we scale. If you're passionate about building scalable, high-performance systems and leading a top-tier team in a fast-paced startup environment, wed love to chat!
In this role, you'll own our cloud infrastructure and deployment processes, shaping the tools that power our applications. You'll work across all stages of development, from concept to production, ensuring high availability, reliability, and efficiency at scale.
You'll be responsible for designing, deploying, and optimizing infrastructure for media processing and web services, managing thousands of pods on EKS. You'll own deployment, monitoring, and uptime of AWS environments, optimize for video processing, ML training, and real-time prediction, and drive CI/CD automation. Staying ahead with AWS, Kubernetes, Prometheus, and more, youll lead best practices for IaC, monitoring, and logging.
This is a high-impact leadership role for someone who thrives on scaling complex systems, improving efficiency, and pushing DevOps innovation forward.

an enterprise-software growth-phase Fintech start-up. We develop AI-powered solutions helping banks deliver highly intelligent and personalized banking experiences to their customers across all digital channels. Were pioneering and establishing a whole new category of consumer banking based around data-driven personalization and customer engagement.

About the position
We are seeking a highly skilled and motivated Senior DevOps Engineer with a strong technical background. This role requires a hands-on leader who is not only proficient in modern DevOps technologies but can also inspire and guide the team toward excellence. The ideal candidate will be responsible for driving technical initiatives, optimizing our infrastructure, and ensuring best practices across our cloud environments.

Responsibilities
Facilitate the development process and operations of all stack on cloud
Lead technical workshops and advise the DevOps.
Improve and continuously design efficient practices.
Deliver comprehensive best practices.
Research, diagnose, troubleshoot, and identify solutions to repeating issues
Serve as subject matter expert on cloud deployments, best practices, security.
Work with R&D, Product and Operations teams on best practices, driving technology, efficiency and enablement.
Key Responsibilities:

Technical guidance and support.
Design, deploy, and maintain scalable infrastructure on cloud platforms (AWS/Azure/GCP).
Manage Kubernetes clusters, ensuring high availability, scalability, and security.
Develop and maintain Infrastructure as Code (IaC) using Terraform.
Oversee CI/CD pipelines, ensuring smooth code deployments and automations.
Implement best practices for monitoring, logging, and alerting across environments.
Collaborate with cross-functional teams to deliver scalable solutions.
Continuously evaluate and integrate new tools and technologies to improve team efficiency.
Troubleshoot complex technical issues and drive root cause analysis.
Maintain strong security standards across all environments

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.