דרושים » תוכנה » Sr Staff Site Reliability Engineer

As a Site Reliability Engineer on the SASE Platform team, you will play a critical role in building and operating highly available, secure, and globally distributed services. Your mission is to ensure our cloud-native security and networking platform is reliable, scalable, and performant from day one, protecting the users, applications, and data for the world's largest enterprises as they adopt cloud, remote work, and AI.
Key Responsibilities
Proactively collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages.
Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance.
Build and operate automation for provisioning, deploying, and managing global infrastructure using Infrastructure as Code (IaC).
Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments.
Drive observability best practices, including metrics, logs, traces, and SLIs/SLOs to enable data-driven incident analysis.
Participate in on-call rotations, reducing mean time to resolution (MTTR) through automation and proactive reliability improvements.
Challenge existing processes by championing reliability, security, and operational maturity across the organization.

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Are you passionate about ensuring system reliability, scalability, and performance? Do you thrive in a dynamic environment where automation and operational excellence are key?
we are looking for a Site Reliability Engineer (SRE) to join our team and play a crucial role in designing, implementing, and maintaining our cloud-based infrastructure. In this role, you will collaborate across teams to drive automation, improve system resilience, and optimize performance while fostering a culture of reliability.
Responsibilities:
System Reliability- Ensure high availability and performance of services through effective monitoring, incident management, and root cause analysis.
Automation & Tooling- Develop and maintain automation for infrastructure provisioning, configuration management, and application deployment.
Performance Optimization- Analyze and enhance system performance, including load balancing, caching, and database tuning. Conduct regular capacity planning.
Incident Response & Troubleshooting- Lead incident response efforts, participate in on-call rotations, and troubleshoot complex infrastructure issues.
Security & Compliance- Collaborate with security teams to implement best practices and ensure compliance with relevant standards (ISO 27001, SOC 2, etc.).
Collaboration & Mentorship- Work closely with developers, DevOps, Support, and product teams to enhance application reliability and implement SRE best practices.

The DevOps Engineer builds, automates, and operates cloud‑native infrastructure across AWS and Red Hat OpenShift, enabling scalable, secure, and reliable application delivery. This role combines hands‑on platform engineering, CI/CD automation, container orchestration, and the integration of AI‑powered tools for observability, anomaly detection, and operational efficiency. The engineer collaborates closely with development, security, and SRE teams to streamline deployments and improve system resilience.
Core Responsibilities
Cloud & Platform Engineering
Design, deploy, and maintain cloud‑native infrastructure on AWS (EC2, VPC, IAM, EKS, S3, RDS, Lambda).
Operate and optimize Red Hat OpenShift clusters, including cluster upgrades, operator management, and workload orchestration.
Implement Infrastructure‑as‑Code using Terraform, CloudFormation, or Ansible.
Build secure, scalable network architectures including VPC design, load balancing, service mesh, and ingress/egress controls.
CI/CD & Automation
Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Argo Workflows.
Automate build, test, and deployment workflows for microservices and containerized applications.
Implement GitOps practices using Argo CD or Flux.
Create reusable automation modules and scripts in Python, Bash, or Go.
Containers & Kubernetes
Manage containerized workloads using Docker, Kubernetes, and OpenShift Operators.
Configure namespaces, RBAC, secrets, ConfigMaps, and resource quotas.
Troubleshoot cluster performance, networking, and scheduling issues.
Support service mesh technologies (Istio, Linkerd) when applicable.
AI‑Driven Operations
Integrate AI/ML‑based tools for monitoring, anomaly detection, predictive scaling, and automated remediation.
Work with data and platform teams to operationalize AI/ML pipelines on Kubernetes or OpenShift.
Evaluate emerging AI‑Ops platforms and contribute to automation strategies.
Observability & Reliability
Implement monitoring, logging, and tracing using Prometheus, Grafana, ELK, Loki, CloudWatch, or Datadog.
Build alerting, dashboards, and SLO‑based reliability metrics.
Participate in on‑call rotations and incident response, driving root‑cause analysis and long‑term fixes.
Security & Compliance
Apply DevSecOps practices including image scanning, secrets management, and policy enforcement.
Work with security teams to implement IAM best practices, encryption, and compliance controls.
Integrate tools such as Vault, OPA/Gatekeeper, or Kyverno.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities:
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

As a Senior DevOps Engineer supporting our Cortex Research Group, you will lead all DevOps and infrastructure initiatives that empower our researchers to move quickly, securely, and reliably. You will be responsible for designing, building, and maintaining the groups cloud environments, ensuring scalability, stability, and performance across a wide range of experimental and production workloads. Youll serve as the primary point of contact between the Research Group and other critical stakeholders-including Security, Networking, and Compliance teams-ensuring that research projects align with organizational standards while still enabling rapid innovation.
Key Responsibilities
Own and evolve the Research Groups cloud infrastructure and CI/CD pipelines to enable reproducible, automated, and scalable experimentation.
Define and implement standards for infrastructure-as-code, observability, monitoring, and resource optimization tailored to research use cases.
Proactively collaborate with security and compliance teams to enforce best practices for data governance, access controls, and regulatory requirements.
Partner with networking and platform engineers to integrate research workloads into the broader company ecosystem, ensuring seamless operation.
Serve as the primary technical liaison between the Research Group and stakeholders like Security, Networking, and Platform teams.
Mentor engineers and researchers on DevOps best practices, helping to instill a culture of operational excellence and applied learning.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
As a DevOps Engineer, youll design and implement a full CI/CD solution on AWS and Azure with Kubernetes, while supporting and scaling our cloud infrastructure using Infrastructure as Code.
Responsibilities
Design and implement robust, scalable, and highly available cloud solutions to ensure seamless service delivery and support rapid business growth
Focus on cross-service integrations and components within the SaaS stack, adhering to DevOps best practices
Develop, enhance, and maintain CI/CD pipelines using a GitOps-driven approach, ensuring efficient and secure deployment workflows
Streamline processes through automation, focusing on scalability, security, metric collection, and enhanced visibility across environments
Partner with developers to optimize service reliability, performance, failover strategies, and scalability
Work as part of an innovative and high-performing team, leveraging modern tools and technologies.

Your Career:
Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role - youll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization.
Your Impact:
Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure)
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response)
Drive end-to-end troubleshooting across complex, distributed systems with high context switching
Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) - not just react to alerts
Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance
Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows
Develop and maintain automation and tooling (primarily in Python)
Gain deep understanding of system architecture and interconnected services
Contribute to a culture of operational excellence in a high-scale, high-availability environment
On call responsibilities:
Daytime hours (12:00-20:00)
Occasional weekends and holidays (rotation-based).

We are seeking an exceptional Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
or backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments