Top Principal Software Engineer Jobs in NYC, NY

The Principal Software Engineer will architect and oversee the development of distributed systems, mentor engineers, and drive architectural initiatives for large platforms.

Lead architecture and long-term technical direction for Docker Hardened Images (DHI). Define platform standards for image and Helm chart hardening, supply-chain posture (SBOM, SLSA, signing), and distribution. Drive cross-functional roadmaps, resolve ambiguous packaging/security problems, influence upstream OSS, mentor senior engineers, shape test and tooling strategy, and participate in on-call incident response.

Define frontend technical strategy and standards across the org, establish data layer and state management best practices, collaborate with AI Developer Experience on AI-assisted frontend tooling, embed with teams to write code (~50% time), drive platform-level operational excellence, influence executive strategy, and mentor engineers to raise frontend architecture and developer experience.

The Principal Software Engineer, Cloud will lead the Cloud Platform team to define technical strategy and architectural direction, ensuring robust cloud systems for robotics and AI applications.

The role involves designing and developing secure software solutions, focusing on innovative sensor technology for Linux environments, and enhancing customer adoption through collaboration.

Design and build autonomous accounting agents, implement a custom accounting ledger, integrate financial data providers, and ship daily features using TypeScript/Node/Svelte. Work rapidly in an early-stage startup, make product decisions, and engage in customer problem discovery.

The Principal Software Engineer will lead technical initiatives, align cross-functional teams, establish standards, and guide multiple engineering teams towards strategic objectives, driving large-scale improvements in business outcomes.

The Principal Software Engineer will shape and evolve HubSpot's data platforms, driving architectural decisions, building frameworks, and influencing infrastructure across teams.

The Staff/Principal Software Engineer will work in a remote global team, addressing software engineering challenges while fostering collaboration and clear communication.

Design, develop, and maintain scalable software solutions. Collaborate with teams to troubleshoot issues and enhance the software delivery lifecycle. Focus on backend services, using Java and various tools for performance optimization.

Design and develop scalable features for secure software. Advocate for quality standards and engage with customers. Work remotely with a focus on product improvement.

The Principal Software Engineer will build systems for safe software deployment, enhance developer frameworks, and ensure reliability in code delivery.

Design and develop scalable backend systems for SaaS applications, mentor engineers, and lead projects while collaborating with cross-functional teams.

The Principal Machine Learning Engineer will design and scale ML systems for personalization and search, mentor engineers, and lead major ML initiatives at Fetch.

As a Principal Software Engineer at Fetch, you'll design scalable systems for user engagement, drive experimentation, lead technical strategy, and mentor teams to improve engineering productivity and system reliability.

The Sr./Principal Software Engineer will design and implement core capabilities for SingleStore's cloud platform, focusing on scalability and reliability, while mentoring other engineers and collaborating with cross-functional teams.

The Principal Software Engineer will lead the Databricks platform on AWS, managing administration, design, security, and user enablement while mentoring a team.

As a Principal Software Engineer, you'll design and deploy ML-powered tools, build scalable backend systems, and engage with clients for AI solutions. You'll work on R&D for innovative tools and manage cloud operations to support ML models.

Lead a small AI-First engineering team to design, orchestrate, and verify agent-driven development workflows. Define agent toolchains, context engineering, and governance; architect full-stack applications; enforce multi-layer verification and automated QA; mentor engineers; optimize token/cost; and continuously improve AI-assisted SDLC practices and standards.

Lead remote engineering teams to design, architect, and deliver scalable, high-availability education technology platforms focused on content systems, workflows, and GenAI. Drive product and technical strategy, collaborate with product/design, implement cloud-native architectures, adopt agile practices, measure performance through data and testing, and continuously improve user engagement and platform reliability.

Lead architecture and development of high-performance, scalable backend systems for Yahoo Mail using Java and C++. Set technical strategy, establish architectural standards, validate AI-generated code, mentor senior engineers, collaborate cross-functionally, and ensure reliability through automated logging, telemetry, and debugging workflows.

As a Principal Software Engineer, you will lead the development of AI-driven sales and support agents, designing major product features and driving innovation while mentoring peers and ensuring code quality.

Lead architecture and technical direction for Athena, a production-grade distributed system that validates, deduplicates, and routes enterprise vulnerability data. Drive transition from prototypes to maintainable systems with observability, SLOs, incident handling, and operational rigor. Partner across teams on domain ownership, hire and raise engineering standards, and design pipelines that extract clean signals from unstructured vulnerability reports.

Lead design and implementation of advanced systems features for Postgres, focusing on performance optimization and scalability. Mentor engineers and drive architectural direction for large-scale database systems.

Lead architecture and technical strategy across an infrastructure platform ecosystem. Drive hands-on architectural improvements to graph engine and backend services, reduce technical debt, establish standards, champion AI-first engineering practices, run architecture/code reviews and mentorship, and collaborate with product and leadership to ensure scalable, extensible systems.