Software Engineer Jobs in Jersey City, NJ

Lead design and delivery of secure, scalable data-intensive and LLM-based production systems. Build agentic AI, RAG/embedding pipelines, model serving, observability, and automation; mentor engineers; drive AI-assisted development governance and SDLC best practices.

Lead an agile team to design, build, and deliver secure, scalable software. Develop production-quality code, architectures, data models, ETL pipelines, and diagnostics. Analyze large datasets to improve code and systems, troubleshoot complex issues, and contribute to engineering communities and best practices.

Lead development and delivery of secure, production-grade AI-enabled applications. Design, code, test, and operate AI features; drive adoption of AI-assisted engineering practices; evaluate model safety and integrations; automate remediation and reliability; coach teams on responsible AI, secure coding, and CI/CD for cloud-native environments.

Lead technical strategy and architecture for Developer Experience: build scalable build/test/delivery systems, improve CI/CD throughput, design internal platforms/APIs/SDKs/CLIs, integrate LLM/agentic tooling safely, mentor senior engineers, and drive cross-team initiatives to increase engineering velocity, reliability, and maintainability at organizational scale.

Take end-to-end ownership of a Kubernetes-based, multi-region data platform: architect for high availability and low latency, scale infrastructure, optimize CI/CD, implement observability and IaC, enforce cloud-native security, lead incident response, and ensure production readiness and capacity planning.

Develop and deliver software solutions for payments, mentor engineers on CI/CD practices, and ensure compliance with regulatory requirements.

Architect, implement, and optimize scalable hybrid (cloud and on‑prem) infrastructure. Lead automation, CI/CD, deployment, and IaC practices; mentor engineers; improve developer experience; collaborate with Solutions Architects, Field Engineers, and product teams to deliver integrated solutions.

Develop, test, and maintain AI-powered applications using generative AI and LLMs; collaborate with cross-functional teams to implement AI solutions, analyze data to inform features, and optimize application performance.

Design, build, and maintain scalable TypeScript/NestJS backend services and APIs. Implement event-driven, asynchronous processing with queues/workers, ensure observability, performance, and reliability, and collaborate across product and operations to deliver high-throughput, integration-heavy systems.

Design, build, and scale AI-powered operational platforms integrating LLMs, monitoring, CI/CD, ticketing, and cloud services. Develop APIs, data pipelines, front-end apps (TypeScript/React/Next.js), backend systems, evaluation/observability tools, and reusable frameworks. Collaborate across SRE, Product, and Infrastructure to deliver production-grade, automated AI workflows and improve system reliability and performance.

Design and build scalable, cloud-native backend services and AI-powered applications. Implement agentic AI solutions and integrate LLMs with enterprise systems. Develop REST/GraphQL APIs, microservices, and event-driven architectures. Deploy on AWS, containerize with Kubernetes/Docker, build CI/CD pipelines, and ensure observability. Collaborate with cross-functional teams to deliver secure, high-performance enterprise solutions and leverage AI-assisted developer tools.

Design and implement cloud-native, AI-augmented full-stack geospatial applications. Build frontend interfaces, serverless backends, RESTful APIs and microservices; integrate AI/ML and enterprise GIS; ensure automated testing, security guardrails, CI/CD, and collaborative agile development.

As a Senior Software Engineer on the Developer Experience team, you will drive architectural decisions, design systems for developer productivity, mentor engineers, and enhance the platform's capabilities to improve developer workflows and system reliability.

The Staff Software Engineer leads the Developer Experience team, driving technical strategies and addressing complex developer productivity challenges at CoreWeave, focusing on building robust developer platforms and enhancing engineering processes.

Develop and deliver complex financial applications, manage teams, define technology strategy, and ensure compliance and stability in software solutions.

The Senior Software Engineer will own end-to-end features in a deep tech stack across frontend and backend, focusing on scalability and reliability while actively participating in code reviews and team communication.

Responsibilities include building and maintaining backend services for distributed applications, requiring functional programming with Scala and TypeScript, alongside client interactions.

As a Software Engineer, design and develop applications, write clean code, participate in code reviews, optimize systems, and explore new technologies. Collaborate remotely on impactful projects in fintech, blockchain, and AI with a focus on functional programming.

Develop, design, test, and deliver software solutions while organizing and coordinating Equity-wide AI initiatives. Build POCs, automate CI/CD and release activities, mentor engineers, and work with stakeholders to prioritize and track AI efforts across business, data, and technology teams.

As a Senior Software Engineer, you'll design and implement web services, develop full-stack software products, and mentor junior developers while owning your code's lifecycle.

Design and implement solutions for managing a global server fleet, utilizing Go and Python, while working with Kubernetes and automation tools.

Own and operate a Kubernetes-based, multi-region data platform to ensure high availability and performance. Build and optimize CI/CD pipelines, observability, IaC, and security for data-intensive, distributed systems. Drive incident response, capacity planning, and reliability engineering for production-grade services.

Design, build, and maintain Node.js/TypeScript backend services; optimize for speed and scalability; collaborate with frontend and product designers; write clean documented code; run performance tests; ensure stability, compliance, and production readiness.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

The Senior iOS Engineer will work on the Speechify iOS app, ship production code, lead engineering decisions, and enhance the app architecture, focusing on user experience and product strategy.