Senior Software Engineer jobs in New York, NY

You will architect and maintain high-performance, event-driven microservices and cloud infrastructure while leading the delivery of complex technical projects. Additionally, you will act as a subject matter expert, mentor engineering peers, and integrate intelligent automation into the platform.

You will lead the design and delivery of complex frontend technical projects and subsystems across the platform. Additionally, you will integrate AI models and automation patterns while mentoring team members to ensure engineering excellence.

Design and implement backend services and APIs for critical financial products, ensuring they are scalable, reliable, secure, and maintain data integrity. Collaborate across product, frontend, and platform teams, while raising technical standards through design and code reviews and mentoring engineers.

Own large-scale projects from discovery through launch, collaborating across functions to solve customer challenges and improve system performance, reliability, and scalability. Strengthen high-volume processing, testing, monitoring, deployment, and data security while providing technical leadership, knowledge-sharing, and mentorship.

Build and maintain backend services, APIs, tools, and applications for AI-powered clinical documentation and medical coding products. Collaborate with product, design, and machine learning teams, contribute to platform architecture and code reviews, and mentor junior engineers.

You will design, architect, and build core components of the Identity and Access Management platform while leading projects from specification to delivery. Additionally, you will mentor team members and define technical priorities to ensure secure and scalable user experiences.

Design, build, deploy, maintain, and monitor scalable, reliable backend applications, ensuring performance, security, and availability. Evaluate platform technologies, review peer code, contribute to technical debt and feature planning, and collaborate across teams to improve the platform and customer experience.

Build and own backend platform features across recording, integrations, and AI agents, from architectural decisions through implementation, deployment, and support. Design scalable services for real-time conversation processing, maintain system health, and collaborate with product and design teams to deliver customer-focused solutions.

Architect, build, and operate scalable, high-performance backend microservices, cloud infrastructure, APIs, database schemas, and event-driven data pipelines. Own domain reliability and technical delivery, uphold engineering quality through reviews and testing, collaborate across product and frontend teams, and mentor peers.

Design, architect, and deliver scalable automated testing solutions for enterprise media platforms using Java. Collaborate with cross-functional teams to ensure robust validation of streaming experiences and ad workflows.

Design, deploy, and monitor Philo’s video streaming pipeline and scalable data services, collaborating with content partners and internal video, advertising, and data teams. Improve platform reliability, performance, latency, security, video quality, and delivery costs, and support testing streaming quality across new client platforms.

Design, deploy, monitor, and improve Philo’s server-side ad insertion services and ad technology integrations, collaborating with advertising partners and internal teams. Build scalable ad data pipelines and monitoring tools, optimize ad delivery reliability and performance, and implement identity, targeting, measurement, and compliance solutions.

Own and deliver team goals, guide engineers through ambiguous technical challenges, and collaborate with product, design, and analytics partners on system decisions. Maintain the reliability and availability of data infrastructure, improve engineering quality standards, and support team development through feedback and mentorship.

Develop, release, and maintain large-scale backend services and infrastructure to support a global three-sided marketplace. Collaborate cross-functionally to define technical architecture and transition monolithic systems to a microservice-based model.

You will design and implement backend services and APIs to power critical product capabilities across Rippling's multi-product platform. Additionally, you will build secure, scalable systems for complex workflows involving permissions, financial operations, and AI-powered automation.

You will harden containerized workloads and build automated security infrastructure across multi-cloud environments. Additionally, you will develop real-time monitoring and alerting systems to ensure the security posture of the MongoDB Atlas platform.

Develop and manage automation software for NVIDIA's GPU Cloud and SuperPod deployments to enable efficient network design and lifecycle management. Collaborate with infrastructure experts to build scalable, zero-touch deployment solutions and integrate with various service APIs.

Engage in and improve the entire lifecycle of services from design through deployment and operation. Maintain system health by monitoring availability, latency, and performance while scaling systems through automation.

You will architect and operate scalable infrastructure for training and serving machine learning models, including LLMs, on GCP and Kubernetes. You will collaborate with Applied Scientists to remove friction from their workflows and ensure high-performance, reliable model serving for millions of users.

Architect and build scalable consumer experiences, focusing on dynamic landing pages and end-user hubs. You will own features end-to-end, drive technical execution, and mentor other engineers within the pod.

You will build and scale optimization and backend systems to improve public transportation planning and scheduling products. You will collaborate with cross-functional teams including designers, data scientists, and transit planners to deliver high-quality, user-centered features.

Design and build scalable APIs and backend services that support user experiences across web, mobile, Smart TV, Roku, and Apple TV. Collaborate with product, QA, and engineering teams to deliver features, optimize user journeys, and own system performance across a distributed microservices architecture.

Own and evolve backend, time-series data, and AI infrastructure, including database migrations, industrial data ingestion, API architecture, and distributed modeling workflows. Improve system reliability, observability, deployment practices, and developer experience while collaborating across product, modeling, and frontend teams.