DevOps Engineer (AWS)
Design, implement, and manage AWS-based DevOps solutions to support data and analytics needs. Responsibilities include migrating services, establishing monitoring practices, and optimizing infrastructure costs.
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Design, implement, and manage AWS-based DevOps solutions to support data and analytics needs. Responsibilities include migrating services, establishing monitoring practices, and optimizing infrastructure costs.
Design, implement, and manage DevOps solutions to support data and analytics needs on the Google Cloud Platform. This includes maintaining infrastructure as code, improving CI/CD pipelines, and managing monitoring and logging tools.
Design, implement, and manage DevOps solutions to support data integration, analytics, and business intelligence. Develop CI/CD pipelines and maintain infrastructure as code using Terraform.
Collaborate with cross-functional teams to develop and deliver full-stack web features for the Human Performance group. Mentor less experienced engineers and propose technical solutions to ambiguous problems to improve athlete performance tools.
Design and implement comprehensive test strategies and automated frameworks for a Java-based distributed storage platform. Collaborate with developers to integrate tests into CI/CD pipelines and conduct non-functional testing including performance and stress tests.
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The role involves the conception, development, and maintenance of custom WordPress websites and WooCommerce online shops. Responsibilities include API integration of third-party systems, performance optimization, and providing technical consulting to clients.
The role involves collaborating with stakeholders to define KPIs and dashboard structures while building data models in BigQuery and dbt. The engineer will develop LookML models and leverage AI-driven solutions to enhance the user experience for data exploration.
The role involves collaborating with stakeholders to define KPIs and dashboard structures while building data models in BigQuery and dbt. The engineer will develop LookML models and leverage AI-driven solutions to enhance the user experience for data exploration.
Design, develop, and debug complex technical solutions while ensuring compliance with engineering standards and QMS procedures. Provide effort estimates, resolve high-complexity development issues, and mentor junior staff on task prioritization.
Deliver end-to-end features across the full stack, from frontend React to backend Node.js and data layers. Manage AI-assisted workflows and maintain healthcare data pipelines while ensuring PHI security and system observability.
Lead the technical design and implementation of Centric Planning solutions for major North American retailers. This includes designing scalable architectures, overseeing integrations with ERPs and data warehouses, and mentoring technical consultants.
Develop backend solutions for a banking client using Java and Kafka. Participate in a rotating 24/7 on-call shift schedule approximately every 3 to 4 months.
The role involves modeling pricing, packaging, and monetization scenarios by analyzing product usage and financial data. You will lead pricing strategies for new product launches and synthesize research into executive recommendations to drive ARR growth.
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.
Build and evolve Customer.io's SDKs across multiple platforms including Android, iOS, Node, and Go. Lead SDK initiatives end-to-end, improving delivery infrastructure and partnering with product teams to enhance developer experience.
Design and implement production-grade machine learning systems to enhance threat detection and automate security analysis for ICS and xOT cybersecurity. Collaborate with data engineers and OT experts to build scalable ML workflows and optimize model performance in cloud and on-premises environments.
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Design and implement production-grade machine learning systems to enhance threat detection and automate security analysis for ICS and xOT cybersecurity. Collaborate with data engineers and OT experts to build scalable ML workflows and optimize model performance in production.
Design and implement high-performance backend systems and tools using Rust for the xOT Security Platform. Optimize software architectures and participate in the full development lifecycle to enhance system efficiency and quality.
Develop and maintain high-performance backend services using Kotlin for critical banking core systems on AWS. Implement cloud-native solutions, manage container orchestration via Kubernetes, and ensure secure, scalable event processing with Kafka and SQS.
Design and build production software to identify, fingerprint, and interact with network-connected IoT and OT/ICS devices. Develop shared frameworks and automate device communication capabilities based on network traffic analysis and vendor documentation.
Design, build, and maintain scalable cloud infrastructure services across AWS and Azure. Own automation, deployment pipelines, and production reliability using Infrastructure as Code 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.
Deploy and integrate SkyPilot into customer environments across cloud, Kubernetes, and on-prem infrastructure. Partner with AI labs to architect production workloads and translate customer feedback into product improvements.
Own the GPU and ML-systems layer, focusing on accelerator scheduling, utilization, and health monitoring across clouds and Kubernetes. Build optimizations for large-scale pre-training, high-throughput inference, and deepen integrations with frameworks like vLLM and PyTorch.
Develop the networking devices software stack, including embedded firmware, kernel/user mode device drivers, and test utilities. Responsible for the architecture, design, and integration of drivers into the SDK for safety-critical automotive applications.
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Design and maintain scalable backend architectures and robust APIs to support AI Agent solutions and proprietary models. Collaborate with cross-functional teams to optimize server performance, reliability, and security in production environments.
Design and evolve a scalable, secure research computing ecosystem encompassing compute, storage, networking, and cloud services. Translate research proposals and grant requirements into technical solutions, ensuring compliance with regulated workloads like CMMC Level 2.
Design and build a distributed control plane to run AI workloads across multiple clouds and on-prem infrastructure. Set the technical direction for the system to ensure it is robust, performant, and user-friendly.
Lead the design and integration of SCADA and communication architectures for utility-scale renewable energy assets. Manage secure connectivity between sites, utilities, and cloud platforms while ensuring OT network security and regulatory compliance.
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