Top DevOps Jobs in NYC, NY

As a Senior Engineering Manager at Bombas, you will lead engineering teams to enhance the online store experience, driving project execution, strategy, and mentorship while collaborating with product managers and business stakeholders.

As a Staff/Senior iOS Engineer, you will develop and architect the iOS app for Highlight, focusing on creating a seamless AI chat experience. Responsibilities include developing UI components, maintaining CI/CD pipelines, and shaping the mobile product strategy based on technical insights.

As a Cloud Engineer at PDT Partners, you'll design and manage cloud infrastructure to support engineering teams. Your role involves improving existing platforms, onboarding applications, and utilizing DevOps methodologies. You'll collaborate on integrating on-prem systems with cloud solutions, while focusing on automation and performance monitoring.

Join Flow Traders as a Trading Ops/DevOps Engineer to ensure the performance and stability of proprietary trading systems. This role involves troubleshooting, writing monitoring solutions, automating infrastructure, maintaining CI/CD pipelines, and collaborating with trading teams to enhance operational efficiency.

As a full stack engineer, you will collaborate with cross-functional teams to understand customer needs and build innovative features for Airtable's platform. You'll work across the entire tech stack to ensure high-quality product implementations that enhance user experience.

The Director of Customer Engineering leads the customer architect team at Elastic, emphasizing technical acumen and customer value. Responsibilities include strategic planning, collaboration with sales teams, and mentorship of Customer Architects, along with ensuring alignment of strategies with technical solutions. Regular travel is required for client engagement across the Americas.

The Senior LLM Engineer will design and implement a high-performance LLM service, integrating various AI technologies and ensuring scalability and reliability. Responsibilities include developing RAG pipelines, collaborating with business leaders and data scientists, monitoring LLM performance, providing technical support, and maintaining documentation.