דרושים » הנדסה » Senior DevOps Engineer

Were looking for an experienced Senior DevOps Engineer to join our Cloud R&D team.

You will design, implement, and manage a highly scalable cloud infrastructure environment that hosts all our cloud websites. Youll also support our R&D cloud operations by providing automated tools and CI/CD processes.

Responsibilities:
Continuously improve our infrastructure to be more secure, scalable, and robust.
Apply new technologies for internal and external services.
Design, build, and maintain CI/CD pipelines and IaC for our infrastructure.
Architecture planning for cloud-based solutions.
Performance optimization to our workloads and GKE clusters.
Control and develop the monitoring and observability solutions.

We are on the lookout for a dynamic DevOps Engineer - a role for someone with the word agility tattooed behind their eyelids. This role is the link between development and deployment, highlighting the ability to think like an engineer and function as an operations professional. Dynamic Yield is committed to quality products and timely delivery cycles. Merging those two is the mission for our high-quality DevOps Engineer.
Were looking for someone who has the customer in mind, in terms of deployment frequency, dependable releases, and in close alignment with business objectives. The goal is to reduce the time between committing changes, updates, and product launches in normal production while maintaining the highest standards possible.
Role:
Provisioning, managing and improving our AWS cloud infrastructure - EKS/Kubernetes clusters, EC2 instances, CloudFront, Serverless apps & more
Design, build, and maintain CI/CD pipelines, using code, configuration, build, deploy, and monitoring tools
Troubleshoot large applications - You need to know what to do when something complex breaks down
Code OK- We don't just operate tools, we build new tools too
Work closely with developers in design and supporting new features, services and troubleshoot problems
Apply, integrate and improve open source tools to extend operations capabilities and efficiency
Find your way around the HTTP/TCP stack.

We are looking for a DataOps Engineer to own the infrastructure that powers our large-scale data processing platform. This is a platform-facing role sitting at the intersection of data engineering and infrastructure - you'll be the person who makes Spark run reliably and efficiently on Kubernetes, so that data engineers can build with confidence.
You understand data workloads deeply enough to make smart infrastructure decisions, and you have the production instincts to keep complex systems healthy at scale. If you get excited about shaving minutes off Spark job runtimes, right-sizing cluster autoscalers, and building the internal tooling that makes a data platform feel effortless, this role is for you.
RESPONSIBILITIES:
Design, deploy, and operate the Kubernetes-based infrastructure that runs Apache Spark and large-scale data processing workloads
Own the reliability, performance, and cost-efficiency of the data platform - including SLAs, autoscaling, resource quotas, and workload isolation
Manage Spark-on-K8s configurations, Airflow infrastructure, and Databricks integration; tune for throughput, latency, and cost
Build and maintain CI/CD pipelines and infrastructure-as-code for data platform components
Develop observability tooling - metrics, logging, alerting, and data quality dashboards - to proactively surface issues across the pipeline stack
Collaborate closely with Data Engineers to understand workload patterns and translate them into infrastructure decisions
Manage cloud storage (GCS/S3), Delta Lake, and Unity Catalog infrastructure
Drive platform improvements end-to-end: from design through deployment and ongoing ownership.

we are seeking a Senior Infrastructure Engineer to join our Core SRE team and help build the next generation of our stream-based observability platform. We deliver real-time data analytics at scale to some of the worlds leading tech companies
The Core SRE team is responsible for the foundational infrastructure that powers :
Kubernetes Infrastructure: Managing over 10,000 nodes across multiple cloud providers and regions. our production is 100% Kubrenetes based
Kafka Clusters: Maintaining critical, large-scale Kafka clusters processing billions of events per second.
Automation & Operators: Building and maintaining both open-source and custom Kubernetes operators to manage complex stateful workloads like Kafka. Our tech stack is constantly evolving. It includes: Kubernetes, Go (Golang), AWS, GCP, Kafka, Istio, and more.
Responsibilities:
Act as a hands-on technical leader with deep expertise in modern cloud infrastructure.
Serve as a go-to person in the team - leading through influence, not hierarchy.
Collaborate cross-functionally to refine requirements and propose innovative, scalable solutions.
Drive long-term, high-impact infrastructure projects across multiple teams, from design to implementation, within defined timelines.
Contribute to improving system reliability, performance, and cost-efficiency at scale.

We are looking for a Cloud FinOps Engineer to lead our cloud cost operations and drive financial governance across our multi-cloud environments. While our DevOps team has already established a solid foundation for cost management, we are now seeking a hands-on expert to evolve these processes into a world-class FinOps practice.
In this role, you will bridge the gap between Engineering, Finance, and Business stakeholders. Youll combine technical expertise with strategic leadership to ensure our cloud spend is optimized, predictable, and aligned with our business objectives - all while fostering a culture of shared cost accountability across the organization.
What youll do:
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring cost-by-design is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across Azure, AWS, and GCP, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before.
As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience.
Our Technical Account Managers are trusted advisors and consult our customers upon their monitoring, security & observability journey. This role embodies the critical intersection of very high technical expertise and a focus on customer satisfaction, renewal and expansion.
Technical Account Managers are senior-level roles and are expected to professionally and accurately solve problems, show product value and interact across different platforms and types of software, from software engineers and DevOps all the way to the C-suite.
Responsibilities:
Solve customers technical problems by adopting the platform, integrating new data and existing integrations
Understanding customers technical requirements and business goals to consistently create new artifacts and deliver value
Lead the onboarding process, from new integrations, creation of artifacts to trainings and troubleshooting
Know the Log Management / Observability markets well and be able to help customers by using the best technical practices available
Build a successful and ongoing game plan for each customer based on a specific data analysis and customers needs
Establishing relationships and engaging with technical counterparts to drive product adoption
Conduct QBRs with customers to consistently reflect delivered value and ensure customers needs
Advocate internally for customer needs within and influence a product development roadmap
Partner with the Sales team on renewals, upsells, cross-sells, and expansion opportunities

We are looking for a highly skilled and versatile Backend Engineer with deep expertise in network protocols and on-premises deployments to join our development team. As an On-Prem Backend Engineer, you will be responsible for designing, developing, and maintaining the on-prem infrastructure that runs in customer environments, ensuring robustness, security, and performance. You will collaborate closely with cross-functional teams to deliver mission-critical components that interact directly with complex network stacks.


Responsibilities:
Design, develop, and maintain backend services deployed on-premises within customer networks.
Implement and optimize network-centric functionality, including TCP/UDP, TLS, DNS, routing, proxies, and firewalls.
Work with Linux server internals (sockets, routing tables, iptables/netfilter, namespaces, eBPF) to support resilient and secure deployments.
Ensure smooth installation, upgrade, observability, and troubleshooting of on-prem components.
Troubleshoot and resolve issues in real-world customer environments, including debugging complex network problems.

We are seeking engineers with hands-on experience in developing and managing distributed systems and microservices in a production environment. The ideal candidate should have a solid background in infrastructure and operations.
The team builds high-throughput ingestion and processing pipelines, efficient storage on object stores, and systems for data governance, usage reporting, and routing data to multiple physical locations.
You will work on cloud-native, production systems written in Rust and Scala, operating at scale with Kafka, Postgres, Redis, and object storage, run on Kubernetes and operate in a multi-cloud environment.
Responsibilities:
Develop and operate distributed systems in production
Build Kafka-based ingestion and processing pipelines
Design systems for data governance, retention, deletion, and usage reporting
Work with Postgres and Redis, requiring solid database design and operational knowledge
Implement efficient persistence using column-oriented data formats and object storage

We are looking for a highly skilled and versatile Senior Backend Engineer to join our development team. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.


Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications.
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management.
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience.
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance.