DevOps Engineer
Build and maintain shared AWS infrastructure and platform services using infrastructure as code. Focus on improving observability, operational reliability, and scalable platform practices across distributed systems.
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Build and maintain shared AWS infrastructure and platform services using infrastructure as code. Focus on improving observability, operational reliability, and scalable platform practices across distributed systems.
The Senior SRE is responsible for ensuring SaaS products are fast, stable, and optimized by managing availability, performance, and monitoring. They focus on building automated systems to eliminate manual work and implementing AI-powered observability and remediation.
Build and operate GenAI cloud platforms and self-service tools to enable developers to deploy AI applications. Balance operational maintenance with the engineering of automated solutions and infrastructure as code.
Lead and develop a team of engineers responsible for AWS cloud foundations and the Kubernetes platform. Set technical priorities to ensure infrastructure is scalable, secure, and cost-effective while partnering with Security and Platform leadership.
Lead and develop a team of engineers responsible for AWS cloud foundations and the Kubernetes platform. Set technical priorities to ensure infrastructure is scalable, secure, resilient, and cost-effective.
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Design and maintain scalable AWS infrastructure using Terraform while managing the observability stack and CI/CD pipelines. Partner with security teams to maintain PCI DSS compliance and lead incident response for payment-critical services.
Lead the technical direction and architectural ownership of core Security Awareness Training products using a full-stack approach. Drive the migration of micro-frontends to Vue 3 and manage scalable GraphQL APIs and event-driven AWS infrastructure.
Design and maintain secure, scalable AWS and Kubernetes infrastructure while hardening production systems across multiple layers. Collaborate with engineering teams to improve CI/CD pipelines and support compliance audits and vulnerability remediation.
Design and maintain CI/CD pipelines and AWS cloud infrastructure using Terraform and Terragrunt. Support production environments for a banking CRM and Communication Platform, focusing on reliability and incident management.
Design and maintain scalable backend services and REST APIs for a cloud-based mental health platform. Collaborate with cross-functional teams to implement business logic and enhance GCP infrastructure using Kubernetes and Terraform.
Design, develop, and support enterprise integration solutions, APIs, and middleware components. Collaborate with cross-functional teams to implement CI/CD practices and maintain cloud-native deployments.
Lead the development and maintenance of complex DevSecOps systems, focusing on automating CI/CD pipelines and infrastructure provisioning. Ensure system reliability and security by implementing monitoring tools and security-as-code practices across the software lifecycle.
Lead the technical direction and architecture of data flows, scaling high-throughput pipelines and AI-driven product experiences. Establish data governance standards and mentor engineers to ensure platform reliability and high-quality data modeling.
Lead the design and implementation of scalable, secure cloud-based architectures focusing on AI, Generative AI, and Machine Learning. Partner with business and engineering teams to modernize applications and establish MLOps best practices.
The developer will use agentic AI tools to add functionality to complex code stacks and deliver high-impact contributions to critical projects. They will collaborate with multidisciplinary teams to resolve technical challenges and ensure compliance with government security protocols.
Architect and build the core data infrastructure and self-service frameworks to enable enterprise-scale data engineering. Define the long-term technical roadmap for the Data Lakehouse and implement global governance and AI-driven data ingestion systems.
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The engineer will develop and optimize custom detection queries and dashboards across multiple SIEM platforms to improve security posture. They will also lead hypothesis-driven threat hunts and translate findings into updated runbooks and detection logic.
Design, build, and maintain a stable self-service internal engineering platform using Kubernetes, AWS, and OpenStack. Drive automation through Infrastructure as Code and provide expert support to development teams to improve developer experience.
Design and maintain scalable backend services and REST APIs for a cloud-based mental health platform. Collaborate with cross-functional teams to implement business logic and manage infrastructure on GCP using Kubernetes and Terraform.
Drive the strategy, design, and implementation of enterprise AI Identity and Access Management solutions. Focus on securing Agentic AI ecosystems, workload identities, and Zero Trust architecture across multi-cloud environments.
Architect and lead the long-term technical roadmap for the enterprise Data Lakehouse, focusing on high-performance engines and self-service frameworks. Build internal SDKs and orchestration tools to abstract cloud complexity and implement global data governance and AI ingestion pipelines.
Design, build, and operate the next generation of Cloudbeds' point-of-sale experience for hospitality properties. This includes end-to-end ownership of application code, backend services, infrastructure, and production reliability.
Design, build, and operate the next generation of Cloudbeds' point-of-sale experience for hospitality properties. This involves end-to-end ownership of the mobile application, backend services, infrastructure, and production reliability.
Design, implement, and maintain scalable cloud infrastructure to support SaaS products and ensure optimal performance and security. Lead the modernization of LAMP stack solutions, transitioning from legacy versions to Kubernetes environments using Helm charts.
Design and provision large-scale cloud-native data platforms and infrastructure on AWS and Azure using Snowflake. Lead technical teams in managing modern data stacks and provide architectural guidance to ensure scalability and security for multiple customer accounts.
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Integrate automated security scanning into CI/CD pipelines and maintain secure cloud infrastructure on AWS. Manage Kubernetes clusters and implement security-as-code practices to ensure platform compliance and performance.
Oversee the Cloud Operations Engineering team to ensure the health, security, and reliability of the customer cloud fleet across Azure, AWS, and GCP. Manage people leadership, operational outcomes, and compliance programs while partnering with technical leadership on architectural direction.
Own the operational health and lifecycle of the customer cloud fleet across Azure, AWS, and GCP. Drive fleet reliability through Terraform-based automation, observability implementation, and SRE practices.
Own and optimize CI/CD pipelines, Kubernetes deployment strategies, and the infrastructure supporting model serving and AI agents. Focus on improving developer productivity by reducing toil and enhancing observability and telemetry.
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