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Required Senior DevOps Engineer
About the Role
As a DevOps Engineer, youll join a high-impact R&D team and own the infrastructure that powers our real-time decisions. Youll tackle challenges of architecture, scale, and reliability by designing, building, and operating cloud-native systems, and by extending the tooling that enables fast, safe delivery at scale.
We review millions of transactions daily and make sub-second decisions that sit in the heart of our customers critical business flow. We collect and analyze terabytes of textual, behavioral, social, geographical, and other data, using machine learning algorithms to power one of the worlds leading fraud-prevention platforms.
We believe great engineers and tight collaboration are the keys to scale and innovation. Our team is highly innovative and quick to adopt cutting-edge technologies (for example, EKS at scale, Karpenter, Istio, Argo CD, Graviton, Kyverno, advanced observability, and Cloudflare edge patterns).
What You'll Be Doing:
Design, build and manage our development and production cloud-native infrastructure in AWS
Establish and evolve standards for microservices (IaC modules, Helm charts, policies)
Build and maintain our product release workflow and continuous integration/delivery systems
Continuously improve our visibility into its systems and applications with advanced monitoring, metrics, and log analytics, analysis
Understand, implement, and automate security controls, governance processes, and compliance validation
Play a key role in product planning and execution
Develop internal tools that remove friction and boost developer productivity.
Continuously evaluate and introduce new technologies to improve performance, reliability, and developer velocity

we are now searching for a Technical Support Engineer to join our Customer Support team. The Technical Support Engineer manages customer issues to ensure that they are resolved quickly and satisfactorily.
He or she also works to mentor and lead others on the support team, to improve customer support processes, to maintain strong customer satisfaction, and to influence the product roadmap.
As a member of a small and dynamic company, he or she also gets involved in other activities such as technical assistance to the Sales team, helping customers integrate OSPWAT products, helping to test and assess new products and product releases, and other special projects.
We are looking for an energetic and motivated person who likes interacting with customers, tinkering with software, learning about new technologies, and doing what it takes, to contribute to quick growth.
What You Will Be Doing:
Customer Issue Management:
Review and prioritize the queue of open tickets, ensuring timely resolution of each issue.
Track customer status for each ticket, including support level, previous interactions, and satisfaction level.
Investigate and research customer-reported issues, striving to recreate and resolve them promptly.
Collaborate with internal departments, such as Product Development, Finance, Legal, etc., as needed to address customer requests in a coordinated and efficient manner.
Provide responsive phone and chat support to address customer queries and concerns.
Documentation and Reporting:
Ensure comprehensive documentation of all customer interactions, updates, and resolutions in the ticketing system.
Maintain proper attributes and tags for tickets, facilitating efficient tracking and reporting.
Create and update customer-facing knowledge base articles to aid in issue resolution and self-help for customers.
Continuous Improvement.
Proactively enhance technical knowledge and proficiency in products.
Collaborate with cross-functional teams to contribute insights and feedback for product improvement.

Required DevOps Engineer
About The Position
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
WE are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
We are at the forefront of automation, continuously striving to streamline our operations across all aspects of our infrastructure. We maintain a vast multi-cloud environment spanning AWS, GCP, Azure, and OCI, as well as a robust on-premises infrastructure.
Our team is responsible for maintaining and optimizing these diverse environments.
Key Responsibilities:
As a DevOps Engineer, you'll play a crucial role in supporting and expanding our automation efforts.
You'll be responsible for designing, implementing, and maintaining scalable and reliable infrastructure solutions across our multi-cloud and on-premises environments.

As a DevOps Engineer, you won't just "maintain" infrastructure, you will own it.
You will lead the charge in cloud security automation, using an AI-first mindset to drive extreme efficiency. Your mission is to identify, rectify, and prevent misconfigurations and bottlenecks in advance. You are expected to operate with high autonomy, shaping the future of secure cloud environments by being a proactive force, not a reactive one.
Key Responsibilities:
Innovate & Implement:Design and implement cloud infrastructure solutions with a focus on GCP, including compute reservations, BigQuery, Pub/Sub, GCS, and networking.
Release Engineering: Lead weekly production upgrade cycles across global multi-region environments, including branch-out processes, hotfix management, version gating, and rollback procedures.
Service Deployment & Lifecycle: Own end-to-end service deployments on Kubernetes - from Helm chart creation and Flux/GitOps configuration to production rollout and scaling.
Database Administration:Manage and optimize database infrastructure including MySQL, Redis, BigQuery, Neo4j, Scylla, MongoDB, and PostgreSQL in production environments.
AI Integration: Utilize AI-supporting tools to optimize coding, automate repetitive tasks, and solve complex architectural puzzles. Contribute to AI-native infrastructure such as Vertex AI and AI Gateway services.
Tenant & Customer Infrastructure: Manage customer-specific infrastructure including dedicated compute reservations, tenant provisioning, licensing configuration, and feature flag management across multi-tenant and single-tenant environments.
Infrastructure Automation & Tooling:Develop internal CLI tools and automation scripts (Python) to streamline operations.
Cost Optimization: Drive cloud cost optimization through resource right-sizing, reservation management, database disk reduction, and efficiency improvements.
Service Reliability: Enhance uptime by establishing SLAs, setting up comprehensive monitoring (Prometheus, Grafana, Stackdriver), and participating in the production on-call rotation (including off-hours support).

As a highly motivated and customer-focused professional on the global Cortex XSIAM support team, you will provide first-class technical support by managing incoming inquiries and escalations within defined SLAs. You will proactively identify and resolve complex technical issues, collaborating with technical account managers and developers to mitigate risks and develop permanent solutions. This role requires a deep understanding of client environments to ensure the successful deployment and operation of our cybersecurity solutions, finding and resolving issues before they escalate.
Key Responsibilities
Respond to user-reported issues in adherence to established Service Level Agreements.
Triage customer reported issues and respond via ticketing system, phone, or remote sessions.
Perform advanced troubleshooting at the application and OS level, using your knowledge and relevant expertise.
Identify the area of fault (code, environment, or configuration) and work with the appropriate teams to implement the fix.
Provide timely feedback into the development process on customer-reported product problems.
Document actions to effectively communicate information internally and to customers.
Facilitate root cause investigations and manage the implementation of corrective and preventative measures.

XM Cyber is the leader in hybrid-cloud security posture management, using the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. We're looking for a Senior Devops Engineer for our R&D team, who is passionate about application architecture, system design, and end to end implementation. Key Responsibilities: You will independently determine and develop architectural approaches and solutions, building automated deployment and testing environments, managing performance bottlenecks and continuously improving the security and resilience of our platform, and act as a knowledge source for other team members. If you’re a get-things-done, hands-on creative thinker and doer, this one’s for you.

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.