Top Principal Software Engineer Jobs in NYC, NY

Lead technical direction and architecture across telehealth, EHR, patient and clinician systems. Be a hands-on principal engineer writing production code, set engineering standards, mentor and direct offshore teams, own reliability and security (HIPAA/compliance), drive AI adoption, hire and build the onshore engineering org, and partner with the CEO to translate business and clinical needs into technical plans.

Leads performance engineering across distributed systems, from browser to operating system. Defines SLOs, performance standards, capacity models, automated load testing, CI/CD performance gates, observability, and troubleshooting practices. Builds scalable self-service tooling, mentors engineers, influences senior stakeholders, and governs responsible AI-enabled engineering workflows with security, resiliency, and auditability controls.

Principal Software Engineer responsible for owning customer-facing products end to end, leading technical strategy, architecting large-scale distributed systems, and delivering AI-native experiences. The role involves full-stack implementation, product strategy, system design, code reviews, reliability, testing, telemetry, security, performance, and mentoring engineers. Candidates must have extensive experience building and operating large-scale systems and strong product, UX, communication, and collaboration skills.

Owns company-critical, long-term technical problems across multiple teams and organizations. Defines technical strategy, architectures, roadmaps, and engineering standards for large-scale customer-facing systems. Remains hands-on in software development while driving AI adoption in products and engineering workflows. Partners with senior product, engineering, and executive leaders to resolve complex problems, improve reliability and performance, and shape Dropbox’s technical direction.

Architect and deliver high-performance, scalable platform services across GitHub (Actions, Identity, Billing, Git systems, DB infra). Lead design through production, mentor engineers, own reliability and on-call responsibilities, design APIs, collaborate cross-functionally, drive roadmaps, and champion security and operational excellence.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Owns the technical direction and evolution of Microsoft Ads’ high-throughput, low-latency real-time bidding platform. Leads scalable backend design, modernization, performance optimization, reliability, observability, experimentation, and safe production changes. Collaborates with engineering, data science, product, infrastructure, and business teams while providing architectural leadership and mentorship. The role focuses on supporting platform scale, operational excellence, and future advertising growth.

Design, develop, and maintain scalable AI-forward APIs, Model Context Protocols, and services for M365 data access. Lead features from concept through launch, write reusable code, estimate work, monitor production systems as an on-call DRI, improve reliability and scalability, and mentor engineers.

Lead the mobile engineering team in evolving iOS and Android applications toward an AI-native, thin-client architecture. Define participant API and platform direction, contribute Python to backend services, establish AI-assisted development processes, improve DevOps and continuous delivery, mentor engineers, and partner closely with Product and Design. The role requires principal-level technical leadership, product focus, system architecture expertise, and hands-on use of AI coding agents.

Own the architecture and evolution of PermitFlow’s platform, monorepo, shared services, infrastructure, and agentic software development lifecycle. Lead architectural standards, migrations, AI-assisted code review, test generation, CI gates, observability, and background coding agents. Work across the stack as a product engineer while establishing scalable foundations adopted by multiple teams. The role requires deep platform engineering expertise, production infrastructure experience, and the ability to influence technical direction across the organization.

Design, build, and operate large-scale, highly available platform services across GitHub (Actions, Enterprise AI, Identity, Billing, Git systems, database infrastructure). Provide technical leadership, mentor engineers, own architecture and APIs, participate in on-call incident response, drive reliability, security, testing, and roadmap decisions across cross-functional teams.

Principal Software Engineer responsible for designing scalable software frameworks, developing secure production code, and leading code quality and operational stability. The role architects agentic AI-enabled engineering workflows, establishes responsible AI guardrails, and drives automation across teams. It also provides technical expertise, advises senior stakeholders, develops reusable engineering methods, and leads adoption of cloud-based solutions using GCP or AWS and Python, Java, or Go.

Lead the US Platform squad while remaining hands-on in production code. Own contracts across payments, bank connectivity, risk, and infrastructure; build complex cross-domain changes; maintain API specifications and contract tests; lead critical incident responses; and conduct load testing, failure drills, and capacity planning. The role requires deep distributed systems expertise, payment-platform experience, technical leadership, product judgment, and practical use of AI in regulated systems.

Build secure, reliable cloud and AI software solutions from prototype through production. Partner directly with customers and multidisciplinary teams to translate business goals into technical requirements, architect scalable services, and deliver measurable outcomes. Provide technical leadership, mentor engineers, establish reusable frameworks, apply responsible engineering practices, and support deployment, observability, adoption, and knowledge transfer. The role may involve designing and operating AI or LLM-based systems and traveling up to 25%.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.

Leads the design and implementation of highly scalable Azure messaging and PubSub services. Defines architecture, testing strategies, coding standards, and reusable engineering frameworks; mentors engineers and conducts design and code reviews. Drives incident response, root-cause analysis, service reliability, SLA compliance, and operational improvements. Partners with stakeholders and customers to shape requirements and product direction, while advancing responsible AI practices throughout the software development lifecycle.

Principal Software Engineer leading architecture and hands-on development for Swiftly’s multi-tenant ads and martech platform. Responsibilities include designing distributed systems, migrating legacy services without downtime, optimizing a low-latency Go ad server, defining database and service contracts, integrating ad-tech platforms, operating Azure production services, and setting engineering quality standards across testing, observability, CI/CD, security, and infrastructure.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Leads architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drives innovations in scalability, performance, security, durability, and efficiency; collaborates with AI and cloud infrastructure teams; mentors engineers; and evaluates emerging technologies for AI-native storage.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Leads architecture and production delivery of a near-real-time observability platform for large-scale AI supercomputers. Responsibilities include telemetry ingestion, processing, storage, querying, topology and health modeling, 1P/3P data convergence, AI-assisted anomaly detection, technician dashboards, repair validation, security, reliability, cross-team technical leadership, and mentoring.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Leads engineering within a product domain, driving large-scale strategic initiatives across multiple teams. Establishes technical standards, architecture, and scalable best practices; aligns engineering, product, data science, and business stakeholders; guides roadmaps and resource allocation; communicates with executives; and coaches engineering leaders and senior individual contributors.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Lead architecture and hands-on development for Microsoft's virtualization platform, focusing on hypervisor and VMM capabilities. Design, implement, and optimize systems software across Windows, Linux, macOS, Azure, and containers. Improve performance, security, reliability, testing, and operational readiness; diagnose low-level hardware/software issues; enable virtualization on new silicon; mentor engineers; and influence platform strategy across teams and hardware partners.