Software Engineer Jobs in Jersey City, NJ

Build and operate secure, resilient AWS cloud foundation services using Java/Go. Design, develop, test, and automate production code, reduce operational burden, lead architecture/vendor evaluations, promote AI-assisted engineering practices, and drive reuse and validation standards across teams.

Lead design, build, and operate Databricks Lakehouse data platforms on AWS. Maintain high-scale batch and streaming pipelines, enforce governance/security, optimize Spark/Delta performance, ensure reliability, and mentor engineering teams.

Lead technical contributor driving design, development, and operational stability of production software. Builds secure, high-quality code, automates remediation, champions AI-assisted engineering practices, evaluates vendor architectures, and leads engineering communities to adopt resilient, secure CI/CD and cloud-native solutions in a financial-services environment.

Lead design, build, and operate scalable data platform components and pipelines (batch and real-time) using Spark, Flink, Kafka, Airflow and Databricks. Implement data modeling, governance, cataloging, observability, and production-grade code; partner with stakeholders and lead technical evaluations and communities of practice.

Lead backend engineer responsible for designing, building, and operating scalable, secure microservices for equities broker-dealer and prime finance platforms. Integrate AI/ML and GenAI (LLMs, RAG, embeddings, vector DBs) into production, drive architecture decisions, ensure SDLC and operational stability, mentor teams on responsible AI use, and collaborate with product and operations to deliver high-volume, low-latency financial systems.

Lead engineering efforts to design, build, and maintain AEM-based web applications; deliver secure, high-quality code; drive AI-assisted development adoption; integrate Adobe marketing tools; ensure resiliency, accessibility, SEO, and performance; automate recurring remediation; evaluate vendors and coach teams on responsible AI and security within financial services.

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 technical design, development, and operational stability of asset and wealth management systems. Drive adoption and validation standards for enterprise-authorized AI-assisted engineering, set reference architectures across Java, React, Kafka, Oracle/Aurora, Airflow, and Spark, guide cloud deployments, automate remediation, and evaluate vendors and integration approaches.

Lead development of fraud protection microservices: design, implement, benchmark, and optimize scalable secure systems on AWS. Drive performance best practices, adopt enterprise AI-assisted engineering, mentor teams, and collaborate with stakeholders to ensure application resiliency and operational stability.

Lead design, development, and production support of secure, cloud-native data and analytics systems. Drive adoption of AI-assisted engineering practices, improve automation and resiliency, evaluate vendor solutions, and mentor teams on secure, scalable software delivery.

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.

Lead design and delivery of software-defined networking and automation for scalable datacenter and multi-cloud environments. Architect SDN and orchestration solutions, build network automation and IaC, integrate monitoring, drive AI-assisted engineering adoption, mentor engineers, and collaborate with architects, security, and operations to ensure performance and reliability.

Lead design, build, and operate cloud-native AI/ML platform infrastructure and shared services. Architect scalable, secure GPU-enabled training and inference environments, implement IaC and automation, support model deployment/serving pipelines, drive observability and CI/CD, and promote responsible AI practices and enterprise AI-assisted development across teams.

Develop Java Spring Boot microservices and Angular applications for Fidelity’s digital asset management platform. Deploy solutions on AWS EKS using Docker and Kubernetes, and apply unit testing, automation, ATDD, DevOps, CI/CD, and code reviews. Collaborate with architects, product managers, blockchain engineers, and global business teams throughout the software development and testing lifecycle. Contribute technical leadership, innovation, knowledge sharing, and finance-related asset management solutions.

Develop and maintain Node.js microservices in a Lerna monorepo for a financial services platform. Design scalable distributed systems, optimize MySQL databases with Prisma and Sequelize, implement AWS SQS and Redis/BullMQ queues, lead code reviews, mentor developers, maintain APIs, improve CI/CD with Jenkins, and troubleshoot production systems. The role requires strong TypeScript expertise, testing experience, Docker knowledge, and familiarity with financial technology.

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.

Lead a full-stack engineering team building secure, high-performance mobile and web experiences across iOS and Android. Architect applications using Angular, Ionic, Capacitor, TypeScript, Java, REST, and GraphQL; integrate AI-powered capabilities; establish engineering standards; mentor developers; and drive testing, observability, accessibility, security, and Agile delivery.

Lead and remain hands-on building an AI-first developer portal and secure external API platform. Define architecture for agent-ready workflows, authentication/credential flows, contract-first APIs, resiliency, observability, and AI-enabled support. Drive cross-functional delivery, coach engineers, and ensure operational controls, auditability, and production readiness for integrations.

Lead full‑stack engineer responsible for designing, building, and operating secure, high‑quality React frontends and Java backends; championing engineering standards, AI‑assisted development practices, CI/CD automation, secure SDLC, testing strategy, and mentoring teams to ensure reliable, observable, and scalable production systems.

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

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

Designs and delivers high-performance, low-latency digital assets and electronic trading software. Responsibilities include application architecture, distributed systems development, algorithm development, testing, QA readiness, CI/CD, cloud solutions, risk management, project planning, technical strategy, documentation, and mentoring. The role uses Java, Python, Spring Boot, Kafka, AWS, Docker, Jenkins, and observability tools in an Agile environment.

Lead design, build, and operate scalable, secure cloud platform capabilities. Develop Java/Spring Boot services, implement IaC with Terraform, run Kubernetes in HA, deliver CI/CD, apply SRE practices, use observability/APM tooling, and prototype AI/agentic workflows. Mentor engineers and enforce reliability, security, and compliance.