דרושים » ניהול ביניים » Senior DevOps Engineer

Were looking for a hands-on DevOps Engineer with a strong cloud-native mindset to help build, maintain, and evolve our scalable infrastructure. This role requires deep expertise in AWS, Infrastructure as Code, Kubernetes, and a proactive approach to security and automation.

You'll work closely with engineering teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment - all while keeping reliability and security top of mind.
This role is ideal for an experienced and highly skilled DevOps engineer who is passionate about building scalable and reliable infrastructure and thrives in a fast-paced, innovative environment.
What youll do:
Build, automate and manage cloud infrastructure on AWS.
Operate and enhance Kubernetes environments, including automation, security, observability and CI/CD integration.
Drive continuous improvement in developer experience and operational excellence.
Implement security-first infrastructure, tooling and workflow patterns.
Collaborate with Developers, Support and Product teams to ensure infrastructure and automations align with evolving requirements.
Contribute to technical design discussions and cross-functional decision-making.

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.

Own, design, and evolve our production cloud platform (AWS), Kubernetes, and IaC (Terraform) so teams ship reliably, safely, and fast. What you’ll do
* Architect, build, and run resilient, scalable cloud infrastructure; drive AWS Well-Architected pillars (operational excellence, security, reliability, performance, cost, sustainability).
* Champion GitOps (e.g., Argo CD): declarative configs, PR-driven changes, continuous reconciliation.
* Implement and evolve CI/CD (GitHub Actions/Argo CD), secrets management, policy-as-code, and environment promotion.
* Build first-class observability (OpenTelemetry + Prometheus) across apps and infra.
* Partner with internal and external teams (engineers, data, vendors, customers) to deliver platform capabilities and service.
* Lead/mentor engineers; drive Terraform standards, modules, and reviews.
* Optimize cost and efficiency (FinOps) while maintaining reliability.
* Define SLOs/SLIs and error budgets; lead incident readiness, response, and post-mortems.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

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 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.