דרושים » ניהול ביניים » Senior DataOps Engineer

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. 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 DevOps Tech Lead - a hands-on technical leader who thrives on bridging development and operations at scale. This role is ideal for someone passionate about automation, reliability, and mentoring others while driving architectural and operational excellence across our cloud infrastructure.
As the DevOps Tech Lead, youll be responsible for designing, implementing, and evolving our infrastructure and delivery pipelines while leading a team of talented DevOps engineers. Youll collaborate closely with development, product, and operations teams to ensure efficient, secure, and high-quality releases aligned with business goals.
Role:
Lead and mentor a team of DevOps engineers, guiding best practices in automation, reliability, and cloud infrastructure.
Architect, provision, and manage AWS cloud infrastructure, including EKS/Kubernetes clusters, EC2 instances, CloudFront, and serverless applications.
Design, build, and optimize CI/CD pipelines to enable fast, safe, and repeatable delivery.
Collaborate cross-functionally with R&D teams to design scalable systems, troubleshoot complex issues, and support new product initiatives.
Champion Infrastructure as Code principles using tools like Terraform and CloudFormation.
Drive observability and reliability through monitoring, logging, and alerting systems (Prometheus, Grafana, ELK, etc.).
Foster innovation and continuous improvement, adopting new tools and practices to increase efficiency, scalability, and cost optimization.
Contribute to hands-on coding and automation efforts when needed - lead by example.
Partner with stakeholders to align DevOps initiatives with business objectives, including uptime, deployment velocity, and cost efficiency.

we are seeking a seasoned Senior CI/CD DevOps Engineer to join our CloudOps team. In this pivotal role, you will be the architect of our delivery ecosystems, designing and scaling high-performance CI/CD engines and Kubernetes-based infrastructure across multi-cloud environments.
You will bridge the gap between code and production, leveraging GitOps principles and advanced automation to accelerate our SaaS and On-Prem release cycles. If you thrive on building "Infrastructure as Code," mastering complex Jenkins pipelines, and securing cloud-native systems at scale, this is your next challenge.
Key Responsibilities:
Architect CI/CD Ecosystems: Design, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins and Shared Libraries (Groovy) to standardize delivery across R&D.
Infrastructure as Code (IaC): Drive the automation of global cloud footprints (AWS) using Terraform, ensuring modularity, reusability, and state management.
Kubernetes Orchestration: Manage and optimize large-scale EKS clusters, focusing on high availability, auto-scaling, and cost-optimization.
GitOps Advocacy: Implement and champion GitOps workflows to ensure the "source of truth" always resides in Git, automating deployments and drift detection.
Advanced Scripting: Develop sophisticated tooling and automation logic using Python and Bash to eliminate manual toil.
Hybrid Cloud Delivery: Support complex release automation for both high-velocity SaaS environments and secure On-Prem deployments.
System Reliability: Troubleshoot complex production bottlenecks, optimize container performance, and mentor junior engineers on best practices.

you will be part of our company rem department. our road experience management (rem) is an end-to-end mapping and localization engine. this process leverages advanced algorithms, massive parallelization, and Big Data technologies, creating a highly complex system that demands both a deep understanding of the map creation workflow and strong technical expertise. were looking for a senior data engineer to lead the architecture and development of large-scale, production-grade data pipelines supporting ml inference systems. what will your job look like:
architect and own end-to-end data pipelines for large-scale model inference
design high-throughput, scalable data streaming to the cloud
integrate data conversion into data collection and inference pipelines
drive performance, scalability, and reliability across distributed systems
partner with ml, platform, and infrastructure teams

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.