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Lead information security strategy, architecture, and execution for a private capital markets analytics company, overseeing cloud/app security, AI security, GRC (SOC 1/2, ISO 27001), and corporate IT while remaining hands-on technically.
Join our Team About this role We are looking for a Java Software Developer to join our team in Indaiatuba. You will work in a global, agile environment to design, build and operate cloud‑native, AI‑enabled…
Lead security tooling and AppSec practices, design secure architectures, and build AI-powered security automation for a fast-growing product company.
Senior Manager – Identity & Cloud Security Reports to: Chief Information Security Officer Location: Hyderabad, India About the Role We are looking for an experienced identity and cloud security leader to own how we…
Requirements: 5+ years of experience in DevOps, Cloud Engineering, Infrastructure, or Software Engineering. Degree or Diploma in Computer Science, Information Technology, or a related field. Strong hands-on experience…
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and…
Design and enforce AWS security controls for a global clean-energy infrastructure provider, building multi-account guardrails, IAM identity federation, and site-to-cloud network segmentation while automating detections for cloud and hybrid threats.
Designs and implements security for IoT devices and cloud environments, leads incident response, and integrates security into DevOps pipelines.
The Lead Agentic AI Engineer will architect GenAI workflows and RAG-based systems to automate cloud security tasks like drift detection and Terraform module generation. This role involves leading a distributed team to build AI-enabled security tooling for public cloud infrastructure.
Design, implement, and manage Azure cloud infrastructure, CI/CD pipelines, and IaC to support enterprise cloud transformation using Docker/Kubernetes, monitoring, and DevSecOps.
Senior Azure DevOps Engineer designing and managing Azure cloud infrastructure, CI/CD pipelines, Infrastructure as Code, and containerized applications to support enterprise cloud transformation initiatives in Kuala Lumpur.
Designs, deploys, and maintains a secure global hybrid network for a biopharma company using Cisco Meraki, Azure Cloud networking, and Cisco ASA, while collaborating with telecom carriers and MSPs.
Designs and secures multi-cloud infrastructure (AWS/Azure) for classified U.S. Government space programs, ensuring compliance with DoD security frameworks and handling Impact Levels up to IL-6+.
Lead Data Architect embedded in a business function, designing AWS and Databricks-based data mesh, ML, and GenAI solutions while aligning domain architectures with enterprise standards.
Designs, automates, and maintains cloud infrastructure (AWS GovCloud/Azure) for a satellite bus manufacturer, ensuring scalable, secure, and cost-efficient operations while collaborating with engineering and security teams.
12-month contract DevOps Engineer managing CI/CD pipelines (GitLab, GitHub Actions), AWS cloud and on-prem deployments, containerized environments (Docker, Kubernetes/EKS), and IaC (Terraform, CloudFormation/CDK) with observability via Datadog.
Designs and operates cloud infrastructure for a workforce development platform, automating deployments and ensuring security and scalability using AWS, Kubernetes, and CI/CD pipelines.
Principal Mission Cloud Engineer designs and secures multi-cloud AWS/Azure networks for classified U.S. Government space programs, ensuring compliance with DoD security frameworks.
Senior DevOps Engineer operating Kubernetes/EKS platforms in AWS for public sector projects, delivering IaC via Terraform, CI/CD pipelines in GitLab, and monitoring with CloudWatch/Prometheus/Grafana.
The Senior Site Reliability Engineer will manage and scale Maze's cloud infrastructure, focusing on reliability, security, and observability. The role involves automating workflows, supporting compliance initiatives, and collaborating with engineering teams using tools like AWS, Kubernetes, Terraform, and Datadog.
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