Platform Engineer jobs in New York, NY

Build scalable client onboarding solutions and performant data workflows that help clients integrate financial data into Addepar's platform. Lead engineering projects from architecture and estimation through implementation, collaborate across product and client teams, and mentor other engineers.

Build and operate backend services for campaign execution, phone and SMS workflows, and collection of results, using TypeScript, Rust, and AWS. Develop reliable long-running workflows and event processing, integrate scoped access checks, and monitor service performance, authorization, and tenant isolation.

You will lead the architecture and delivery of live video systems, including ingest, transcoding, and playback, while building scalable backend services. Additionally, you will drive vendor evaluations, establish observability practices, and mentor engineers to ensure high-quality, reliable streaming experiences.

Build and operate reliable, bidirectional integrations with government and enterprise partners, using asynchronous workflows, defensive error handling, and reusable platform patterns. Automate manual support processes, improve observability and production reliability, and collaborate with external partners and internal teams on integration changes.

The AI Platform Engineering Lead drives the strategy, architecture, and governance for AI/ML infrastructure, including GPU clusters, RAG pipelines, and agentic AI systems. They manage the AI Platform Operations team, oversee budgets, and ensure scalable, secure, and compliant platform operations across the enterprise.

You will own the end-to-end lifecycle of ChromeOS as a platform, including device standards, policy management, and international procurement. Additionally, you will collaborate with security and IT operations to implement device trust signals, data loss controls, and support Android as a secondary platform.

Build and operate backend services, APIs, and data pipelines that process real-time neurological data, and bring machine-learning models into production. Improve platform reliability and observability while supporting regulated medical-device standards, including cybersecurity, traceability, and change control.

The Customer Engineer will partner with sales teams to architect cross-pillar cloud solutions and serve as a trusted technical advisor to customers. They are responsible for developing technical account strategies, conducting demos and workshops, and facilitating the transition from sales to implementation.

The Customer Engineer will partner with technical sales teams to architect cross-pillar cloud solutions and serve as a trusted advisor to customers. They are responsible for driving technical wins, conducting workshops, and facilitating the transition from sales to implementation.

The Lead Full Stack Engineer will provide technical leadership for the Platform team, making architectural decisions and maintaining hands-on involvement in code. They will also own the infrastructure, CI/CD pipelines, and governance standards to ensure reliable and secure product delivery.

You will design, build, and maintain backend services and APIs for money movement and financial integrations within the Gusto Retirement platform. This involves collaborating with cross-functional teams to ensure the reliability and correctness of critical financial workflows like payments, settlements, and tax integrations.

The Infrastructure Security Engineer will design and implement secure bare-metal and private-cloud architectures while hardening physical and virtual fleets. They will also collaborate with engineering teams to integrate security into CI/CD pipelines and maintain robust detection and response operations.

You will define and lead large-scale initiatives to improve backend development systems, frameworks, and shared libraries. Additionally, you will design long-term technical solutions to ensure scalability and reliability across backend services.

The Senior Data Platform Engineer will design, build, and operate core platform capabilities including ingestion frameworks, storage infrastructure, and streaming services. They will also develop APIs and agentic interfaces to enable AI agents and downstream teams to interact with platform data and capabilities.

Design and maintain a contract-driven data platform that automates the deployment of pipelines to Snowflake, Airflow, and Looker. Lead initiatives to integrate social platform data and mentor a team of software engineers to ensure high-quality, scalable data solutions.

Design, implement, and scale machine learning models to protect users from harmful content and ensure regulatory compliance. Collaborate with cross-functional teams and leadership to set ML strategies and improve the organization's technical stack.

The Principal Platform Engineer will architect and manage a secure, AI-native development platform, overseeing infrastructure, delivery pipelines, and security controls. This role involves hands-on engineering, strategic technical leadership, and mentoring teams to ensure repeatable and scalable product development.

Build and operate production AI agents for materials discovery, including their tools, workflows, evaluations, and observability. Deliver features across the data layer, APIs, agents, and customer and lab applications, while contributing to testing and CI/CD.

The Staff Software Engineer will lead the architecture and delivery of foundational streaming and storage platforms while driving the migration to an AWS-native environment. They will also mentor a team of engineers and partner with service teams to ensure operational excellence and scalability.

Set the Order Platform team's technical strategy and lead the design and delivery of reliable, scalable post-checkout systems for orders, captures, refunds, and settlement. Guide engineers, collaborate with cross-functional partners, and establish operational practices, quality standards, and system availability.