Top Engineering Jobs in NYC, NY

Develop high-performance C++ systems for systematic investing, including real-time data processing, low-latency trading execution, and machine-learning inference tools. Design scalable distributed systems and resilient data pipelines, maintain critical production platforms, and build greenfield solutions in collaboration with quantitative researchers. Ensure software correctness, reliability, performance, and fail-safe operation in live-market environments while aligning technical work with business value.

Develop and evolve investor-facing equity products from discovery through launch and iteration. Build high-performance, data-intensive interfaces using React and TypeScript for research, risk, portfolio, and investment workflows. Collaborate with investors, product managers, UX designers, and engineers to identify opportunities, shape product strategy, prototype solutions, and deliver maintainable, well-tested software with strong commercial impact.

Lead organization-wide technical initiatives for Gusto’s API and AI agent platform. Design reliable, scalable API contracts and agent-facing tools, write clean Ruby on Rails code, mentor engineers, improve reliability and observability, engage developer customers, and troubleshoot production issues.

Design, build, deploy, and operate Philo’s scalable server-side ad insertion and programmatic advertising services. Develop resilient data pipelines, ad integrations, identity and measurement solutions, monitoring tools, and highly available microservices. Collaborate with ad ecosystem partners, video delivery, ad operations, data science, and business stakeholders to optimize ad delivery, reliability, performance, security, and compliance with industry standards.

Develop and deploy applications on Unqork and AWS for the Producer Management ecosystem. Translate business requirements into scalable technology solutions, build reusable components and integrations, perform testing and debugging, and support applications throughout the software development lifecycle. Collaborate with architects, engineers, business stakeholders, Scrum Masters, and Product Owners while serving as a technical SME and contributing to architectural improvements and AI-enabled development.

Leads customer-centric software development from discovery through production adoption. Partners with customers, product, and design to identify needs, form hypotheses, prototype solutions, and ship AI-native products. Owns architecture, instrumentation, telemetry, and end-to-end outcomes while setting engineering standards, mentoring engineers, and guiding practical technical decisions. Requires cloud production experience, incremental delivery from proof of concept to production, strong communication, and experience leading engineers on complex projects.

Staff Software Engineer leading customer-centric, AI-native product development from discovery through production and adoption. Responsibilities include partnering with customers, product, and design; forming and testing product hypotheses; building new product surfaces; designing scalable architectures; using LLMs, agents, retrieval, and evaluation tooling; instrumenting outcomes; setting technical standards; mentoring engineers; and driving iterative delivery.

Leads platform architecture across AWS and Azure, commercial, regulated, and sovereign environments. Owns reference architecture, Kubernetes, infrastructure as code, GitOps, provisioning, security integration, and release engineering standards. Drives cross-organizational technical decisions, prototypes complex platform components, partners with product, finance, security, and compliance teams, mentors engineers, and influences architecture adoption through design reviews and RFCs.

Design, develop, and operate software platforms that automate CoreWeave’s network, including configuration generation, device provisioning, workflow automation, observability, CLIs, and APIs. Write tested Python and Go code, improve service reliability, define SLIs and SLOs, participate in on-call operations, lead architecture decisions, plan complex projects, collaborate across infrastructure teams, and mentor engineers.

Build and maintain native Android experiences using Kotlin, scalable mobile frameworks, reusable UI components, and modular architecture. Own initiatives from product discovery through launch, collaborate with product, design, and backend teams, and improve architecture, testing, monitoring, and engineering standards. Develop secure, performant financial products while contributing to code reviews and platform components.

Lead silicon photonics and heterogeneous integration development from concept through manufacturing readiness. Responsibilities include process-flow integration, photonic device and advanced packaging development, DOE execution, process characterization, yield improvement, defect reduction, root-cause analysis, design-rule development, tapeouts, technology transfers, technical roadmaps, and AI-enabled engineering initiatives. The role collaborates with design, device, packaging, manufacturing, and supplier teams to deliver optical connectivity technologies for high-performance computing and AI infrastructure.

Lead large-scale full-stack engineering initiatives, guide multiple development teams, and shape architecture and technology strategy. Design and implement reliable cloud-native systems using distributed microservices, modern programming languages, databases, containers, and cloud platforms. Partner with product and architecture leaders, establish engineering standards, mentor senior engineers, drive observability and performance improvements, and deliver solutions supporting regulatory and customer needs.

In this role, you'll ensure the reliability and scalability of the NG-SIEM platform, manage incident responses, and collaborate across teams to enhance system performance.

Design, build, and operate high-scale core services for Datadog’s continuous profiling product. Develop systems that ingest, process, index, store, and interpret profiling data while meeting demanding SLOs and quality standards. Collaborate with runtime engineers, data scientists, designers, customers, and other stakeholders to deliver profiling experiences across UIs, agentic tools, integrations, and partner products. Review architecture, guide technical trade-offs, and own code throughout its production lifecycle.

Own full-stack software projects from scoping through delivery, building and maintaining tested Python and React applications using the Glint SDK. Use AI agents responsibly, implement unit, integration, and end-to-end testing, review code, mentor colleagues, lead technical discussions, resolve production incidents, and collaborate across teams to deliver reliable, scalable, secure solutions for clients.

The Senior Full Stack Developer will lead full stack development, mentor engineers, refactor services, and uphold system performance and security standards in a hybrid work environment.

Seeking a Senior Software Engineer with 7+ years of experience, proficient in Rails and Python, to develop applications and shape engineering culture.

Own product features end-to-end across web app, GraphQL API, and embeddable components. Design schemas and APIs, build backend and frontend, write tests, monitor real-user behavior, and ship weekly. Establish shared component library, design system, and testing patterns. Optimize performance and leverage AI tooling to accelerate engineering and product collaboration.

Design and maintain scalable full-stack applications using C#, .NET, SQL Server, Angular, and Azure. Build serverless ETL and event-driven workflows with Azure Functions and messaging services. Lead architecture discussions, promote testing, CI/CD, observability, and infrastructure-as-code, and collaborate with product, data, RPA, and business teams. Participate in code reviews and incident response while mentoring junior developers and ensuring reliability, security, and performance.

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.

Develop and operate the Open DEX platform, enterprise API integrations, internal tools, automated workflows, and AI-assisted applications. Build secure, containerized cloud services and infrastructure using Python, Kubernetes, AWS, CI/CD, and infrastructure-as-code technologies. Diagnose production incidents, improve performance, establish reusable engineering standards, and collaborate with security, identity, infrastructure, and engineering teams.

Designs and operates observability, automation, infrastructure as code, CI/CD, and reliability practices for distributed AWS systems. Partners with engineering teams to improve service visibility, scalability, performance, networking, deployment safety, incident response, and operational ownership. Participates in on-call rotations, leads incident response when needed, and drives blameless post-mortem remediation. Develops reusable platform standards for containers, service communication, secrets, routing, and production readiness.

Build and maintain frontend web applications for internal and public use. Responsibilities include gathering requirements, collaborating with team leads and designers, implementing high-fidelity user experiences, researching UI/UX patterns, proposing technical solutions, and coding, testing, and deploying modern web applications using JavaScript or TypeScript and frontend frameworks.

Design and build Genius AI’s software factory, including CI platforms, deployment tooling, infrastructure-as-code guardrails, observability, alerting, SLOs, and incident-response systems. Lead infrastructure platform direction, enable safe self-service for engineers and AI agents, improve deployment velocity and reliability, review complex technical changes, and mentor engineers. The role requires hands-on expertise with AWS, Kubernetes, Terraform, GitOps, CI/CD at scale, progressive delivery, and internal developer tooling.

Develop high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.