Top Engineering Jobs in NYC, NY

Develop and integrate silicon photonics, semiconductor processes, advanced packaging, optical interconnects, and heterogeneous integration technologies from concept through manufacturing readiness. Lead process characterization, DOE execution, yield improvement, defect reduction, root-cause analysis, design-rule development, tapeouts, technology transfers, technical programs, roadmaps, and AI-enabled engineering initiatives across multidisciplinary teams.

Leads engineering projects and developers building full-stack, cloud-based solutions with distributed microservices. Provides technical direction, establishes coding and design standards, partners with architects and product managers, mentors engineers, evaluates emerging technologies, reduces technical debt, and improves system performance. The role uses multiple programming languages, databases, AWS services, containers, Kubernetes, CI/CD, infrastructure as code, automated testing, APIs, and observability practices.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, databases, APIs, and modern development frameworks. Provide technical leadership across Agile teams, mentor engineers, establish design and coding standards, partner with architects and product managers, improve system performance, reduce technical debt, and influence long-term technology strategy.

Leads full-stack software engineering projects and development teams, building cloud-based solutions with microservices, APIs, databases, container orchestration, and front-end frameworks. Provides technical leadership, establishes engineering standards, mentors developers, partners with architects and product managers, improves system performance, reduces technical debt, and influences technology strategy across Agile teams.

Design, develop, and maintain high-performance Go-based software for global VOD, live, and linear streaming delivery. Build reliable services for dynamic ad insertion and manifest manipulation, partner with SRE on highly available multi-region systems, use observability and analytics for performance and incident analysis, and contribute to multi-CDN strategies, architecture, code reviews, and engineering standards.

Design, engineer, and modernize enterprise digital workspace platforms (AVS, AVD, Windows 365) and endpoint management. Build scalable, secure VDI and Cloud PC solutions, develop automation (PowerShell, IaC, APIs), optimize performance and lifecycle management, and establish engineering standards, monitoring, and governance while partnering with infra, cybersecurity, identity, and app teams.

Lead development of full-stack cloud-native applications using Java, TypeScript, Spring Boot, Spring Cloud, and AWS. Responsibilities include designing microservices, APIs, agentic workflows, reactive systems, infrastructure as code, CI/CD, observability, databases, and performance testing. The role also leads responsible adoption of AI-assisted engineering tools, coaches teams on secure validation practices, and troubleshoots multi-agent environments.

Build and operate developer-facing experiences, including portals, documentation tooling, SDKs, quickstarts, code samples, and integration templates. Support partner API integrations, write tests and documentation, participate in debugging and design reviews, and collaborate across Engineering, Product, Partnerships, Sales, and Support. The role requires strong software engineering fundamentals, API experience, clear communication, and an interest in developer tools and user experience.

Design, scale, and operate Husky, Datadog’s petabyte-scale distributed columnar event store. Migrate storage to open standards including Parquet, Arrow, and DataFusion; improve compaction, compression, indexing, caching, and storage tiering; support event versioning and Iceberg-based analytical workloads; collaborate across ingestion, metadata, platform, and Lakehouse teams; and contribute to open-source software.

Build and own features for Braze’s high-scale user segmentation platform using Ruby on Rails and React. Develop new segmentation capabilities, optimize MongoDB and ClickHouse queries, and work with large-scale data systems. Responsibilities include project ownership, cross-functional collaboration, automated testing, code reviews, production rollouts, and on-call support. The role requires strong software engineering fundamentals, database experience, autonomy, and effective communication.

Leads partner integration discovery, architecture, implementation, and launch readiness. Builds developer portals, documentation, SDKs, sample applications, integration templates, and automation. Develops reusable patterns for authentication, webhooks, retries, observability, and error handling. Collaborates with engineering, product, security, support, partnerships, and external developers to improve APIs and developer self-service. Reviews designs and code, mentors teammates, and owns partner integrations through delivery and ongoing iteration.

Deploy and integrate PagerDuty’s SRE Agent into strategic customer production environments, connecting infrastructure-as-code, GitOps, CI/CD, observability, and incident-management systems. Build reusable agent tools, connectors, evaluation pipelines, and safety guardrails; run customer pilots; resolve adoption blockers; contribute production code to the core product; and shape technical roadmaps. The role combines staff-level software engineering, production LLM and agent-system development, technical consulting, customer engagement, and frequent travel.

Design and build Maybern’s Scenario Modeling engine, including projection frameworks, workflow orchestration, and financial data processing pipelines. Lead architecture and development of core systems from the ground up, partner with product experts to create intuitive modeling tools, and launch complex data products. The role requires strong experience with high-volume, near-real-time systems, relational databases, transactions, cloud platforms, and distributed systems.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.

Build AI applications and workflows that drive revenue using Vercel AI Cloud. Partner with Sales, Marketing, Success, and Data to identify user pain, ship high-impact solutions, test new features, and publish best practices. The role involves daily software development, AI model and API integration, automation, and collaboration with GTM teams. It is remote, with office anchor days for employees near select offices.

Own full-stack HR Experience features from technical design through deployment and monitoring. Build maintainable frontend, backend, and data-layer solutions; participate in code reviews, planning, reliability improvements, on-call response, and incident management. Partner with product and design, mentor less-tenured engineers, and independently deliver projects with minimal oversight.

Develop and deploy reliable, customer-facing frontend web applications using modern JavaScript and TypeScript technologies. Responsibilities include gathering requirements, implementing high-fidelity designs, researching UI/UX patterns, proposing technical solutions, testing, optimizing performance and security, and collaborating with and mentoring engineering team members.

Leads architecture and technical direction for scalable, high-availability software services. Owns complex, multi-team initiatives, makes autonomous technical decisions, partners cross-functionally, mentors engineers, establishes standards, and advocates for quality. The role develops mission-critical systems supporting millions of endpoints and requires deep Java expertise, scalable system design, API development, relational databases, and strong testing practices.

Leads cloud-based software engineering projects and developer teams, building resilient full-stack systems with distributed microservices, APIs, databases, containers, and public cloud technologies. Establishes engineering standards, partners with architects and product managers, improves system performance, reduces technical debt, mentors engineers, and influences long-term technology strategy through emerging tools, automation, observability, and operational excellence.

Leads large-scale cloud-native and distributed systems engineering initiatives, guiding multiple technology projects and development teams. Designs and implements resilient, high-performance full-stack solutions using modern programming languages, databases, containers, and cloud platforms. Provides technical leadership on architecture, platform roadmaps, reliability, observability, coding standards, and enterprise technology strategy. Mentors engineers, collaborates with product and architecture leaders, and drives cross-functional technical initiatives.

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and regulatory technology solutions. Designs service boundaries, APIs, reusable frameworks, and scalable systems using modern programming languages, databases, containers, and cloud platforms. Provides technical leadership across Agile teams, establishes engineering standards, mentors developers, drives refactoring and performance improvements, and influences long-term technology strategy. The role also involves troubleshooting cloud environments, improving observability, and advancing automation, testing, and infrastructure practices.

Build and architect native Android or iOS applications, shared libraries, and cross-platform mobile capabilities. Partner with product, design, infrastructure, and backend teams on roadmaps, CI/CD, observability, reliability, performance, accessibility, and release practices. Serve as a mobile subject matter expert, influence technical standards, develop AI-native workflows, and mentor senior engineers. The role requires extensive native mobile development and federated application architecture experience across multiple teams.

Leads engineering teams and technology projects delivering large-scale, cloud-native platforms and distributed systems. Designs architectures, builds full-stack solutions, establishes technical standards, and drives reliability, performance, observability, and platform roadmaps. Partners with product managers, architects, and cross-functional teams while mentoring engineers and evaluating emerging technologies, including AI-based development tools. The role requires extensive software engineering and cloud experience across modern programming languages, databases, APIs, containers, CI/CD, and infrastructure automation.

Lead software engineering for secure, resilient, scalable platforms and data pipelines. Responsibilities include designing production systems, writing and reviewing code, troubleshooting, improving automation and operational stability, adopting responsible AI-assisted development practices, evaluating architectures, and building micro-frontends. The role uses distributed data platforms, orchestration, lakehouse technologies, hybrid cloud environments, backend services, and modern JavaScript or TypeScript interfaces.

Develop and scale backend Java and Kotlin software powering patch discovery, packaging, and deployment across millions of endpoints. Design scalable systems, APIs, data structures, caching solutions, and relational databases while maintaining high testing and code-quality standards. Collaborate with AI workflow, server, platform, design, and product teams. Occasional React or Angular work may support patching workflows and dashboards.