Platform Engineer (SAP BTP)
Responsible for the administration and management of the SAP BTP platform, including runtimes and security services. The role involves ensuring secure deployments and monitoring platform performance and costs.
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Responsible for the administration and management of the SAP BTP platform, including runtimes and security services. The role involves ensuring secure deployments and monitoring platform performance and costs.
Responsible for the administration, management, and security of the SAP BTP platform, including runtimes and authorization services. The role involves monitoring performance, managing deployments via CI/CD, and defining platform best practices.
Architect and build robust AI/ML production systems focusing on backend distributed systems and microservices. Lead cross-functional initiatives to optimize model training, real-time inference, and operational reliability.
Design and implement distributed scheduling, workflow systems, and scalable platform services to power research and trading. Provide technical leadership and mentorship to engineering and research staff while managing complex projects from design to production.
Develop and operate a scalable, secure, and performant data platform on Bare-Metal Kubernetes. Focus on automating data operations, ensuring high availability, and collaborating with developers to optimize data access patterns.
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Review and refine AI-generated outputs related to platform engineering and system architecture to ensure technical accuracy. Draft realistic engineering scenarios and identify reasoning gaps to improve AI-powered engineering systems.
Build and improve security foundations for the platform, including API keys, secrets management, and tenant isolation. Design secure defaults for services and improve detection and response for suspicious system events.
Build and operate a reliable, scalable security fabric and telemetry infrastructure across hundreds of AWS environments. Implement agentic AI workflows and GitOps deployment patterns to automate security platform engineering and reduce operational toil.
The AI Platform Engineer is responsible for deploying, managing, and optimizing the OCI infrastructure that supports AI agents and enterprise workflows. This includes managing CI/CD pipelines, monitoring platform health, and ensuring secure environment configurations.
Architect and evolve cloud security guardrails and automation to discover and remediate risks across AWS and GCP. Partner with platform teams to eliminate security risks and manage the cloud security exception lifecycle.
Design and deploy modern data platforms using Azure Databricks and Microsoft Fabric to power enterprise analytics. Act as a technical advisor to customers, translating business needs into scalable, production-ready data solutions.
Define platform standards and lead complex cross-domain initiatives to modernize Zocdoc's data infrastructure. Focus on architecting orchestration, monitoring, and governance systems to ensure secure and cost-efficient data operations.
Design and maintain scalable real-time data pipelines and a high-performance ClickHouse warehouse to support AI agents and analytical needs. Own the end-to-end feature-serving layer and implement data contracts to ensure seamless multi-tenant scaling.
Evolve the internal developer platform into an AI-first, intelligent system that enables self-service infrastructure provisioning. Design and operate secure Amazon EKS clusters while building AI-driven workflows for incident triage and developer productivity.
Lead the migration from AWS-managed services to EKS and design high-availability, low-latency infrastructure. Manage cloud resources, automation via Terraform, and optimize CI/CD pipelines and observability tools.
Design and implement the core backend systems, data platform, and infrastructure layer to power AI-native financial services. This includes building scalable data ingestion pipelines, managing cloud infrastructure, and supporting AI/ML workloads like vector data and embeddings.
Lead the vision and evolution of the infrastructure foundation to support high-throughput, low-latency ad-serving and streaming platforms. Architect composable IaC patterns and implement GitOps workflows to ensure platform reliability and cost-efficiency.
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Own and operate the production system end-to-end, focusing on automating manual work and designing a scaling roadmap. Establish CI/CD pipelines, observability stacks, and infrastructure-as-code to ensure system reproducibility.
Lead the design and automation of modern digital service platforms, ensuring they are scalable, secure, and performant. Collaborate with multi-disciplinary teams to deploy high-quality software and mentor junior engineers.
Lead the development of high-quality Power Platform solutions while managing and coaching a small team of engineers. You will provide technical direction, interact with customers, and balance technical decisions with commercial constraints.
Design, deploy, and maintain cloud infrastructure and CI/CD pipelines to improve developer productivity. Own the full lifecycle of services and subsystems while ensuring fault tolerance and HIPAA compliance.
Take ownership of infrastructure, CI/CD pipelines, and developer experience for the Verantos Evidence Platform. Collaborate with cross-functional teams to maintain operational documentation and align on shared infrastructure standards.
Operate and improve production infrastructure with a focus on reliability, security, and scalability using data-driven practices. Build monitoring and alerting systems while managing incident response and root cause analysis.
The role focuses on maintaining the stability of Scribe's core functionalities within the Enterprise Scale team. Responsibilities include collaborating with engineers and user advocates to improve the overall platform experience.
Lead the design and evolution of the platform's infrastructure, reliability posture, and release pipelines. Drive security and compliance efforts while partnering with product teams to reduce operational drag.
Design, build, and operate secure and scalable data streaming platforms to support global betting brands. Drive automation using Infrastructure as Code and implement GitOps practices to enhance developer experience.
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Design and build production-grade AI employees and agentic workflows using a proprietary platform and external integrations. Act as the technical owner for client delivery, translating requirements into scalable software foundations and conversational systems.
Own and improve CI/CD pipelines and internal delivery tooling to modernize Public Warning products across cloud and on-premise environments. Drive automation for deployments, upgrades, and operational workflows while enhancing platform reliability and observability.
Lead the end-to-end onboarding, architectural design, and operationalization of the AgileSec Analytics platform. Establish repeatable deployment frameworks, create technical runbooks, and manage system-to-system integrations.
Design and maintain the foundational infrastructure and internal provisioning platform for generative AI applications. Ensure AI integrations are secure, performant, and cost-effective while implementing observability and governance systems.
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