Software Engineer Jobs in Jersey City, NJ

Lead architecture and hands-on full-stack development for a financial simulation platform. Build React and TypeScript interfaces, Python and Java services, APIs, visualizations, and AWS deployments. Establish standards for security, accessibility, testing, observability, and performance. Mentor engineers, guide responsible AI-assisted development, collaborate with Treasury, risk, quantitative, and product stakeholders, and support production reliability and incident response.

Leads the design, development, testing, troubleshooting, and operation of secure, scalable software systems. Develops production code using Java or Python, contributes to architecture, reviews code, automates recurring remediation, and improves application resilience. Works with cloud platforms, APIs, DevOps tools, databases, Twilio or Salesforce Marketing Cloud, and email infrastructure. Also mentors engineering communities, evaluates technical solutions, and communicates complex issues to diverse stakeholders.

Lead solution engineering for Trust and Security data and integration capabilities. Architect and implement Java services, Kafka streaming and batch pipelines, APIs, and data stores using Cassandra and Oracle. Define data contracts, schema governance, observability, security, and operational standards. Provide technical guidance, review code, promote AI-assisted engineering practices, and drive scalable, production-ready architectures across teams.

Build and ship full-stack software for CoreWeave’s internal data infrastructure and operational applications. Develop TypeScript, React, and Next.js frontends; Python services on Kubernetes; SQL queries and data models; and AI-enabled interfaces such as text-to-SQL tools, retrieval systems, and agents. Own scoped features through production, including testing and post-release fixes, while collaborating with senior engineers and internal users.

Lead development of scalable Java software applications and high-availability services. Design architectures, solve complex system challenges, improve performance and scalability, and maintain quality standards. Collaborate cross-functionally, mentor junior engineers, own technical initiatives, address support-driven issues, and implement robust testing practices for mission-critical IT operations products.

Design, develop, and enhance scalable Java software for NinjaOne’s IT Operations platform. Lead architectural decisions, build high-availability services, address scalability and technical debt, improve quality practices, collaborate across teams, mentor engineers, and own technical initiatives supporting millions of endpoints and servers.

Lead development of scalable Java applications and high-availability services. Design system architecture, solve complex scalability challenges, improve quality, mentor engineers, collaborate cross-functionally, and own technical initiatives supporting a global IT operations platform.

Leads hands-on Java and Spring Boot engineering for alternative investment platforms. Designs, develops, tests, and operates secure cloud-native services on AWS, modernizes on-premises applications, and builds resilient messaging and event-streaming integrations. Provides technical guidance, reviews code, governs AI-assisted engineering practices, and establishes standards for secure, reliable, and observable software delivery.

Designs, develops, tests, deploys, and maintains secure enterprise applications for Internal Audit. Builds Java and Python microservices, REST APIs, React interfaces, CI/CD pipelines, and cloud-native services using Docker, ECS, Kubernetes, and AWS. Participates in code reviews, Scrum ceremonies, operational support, monitoring, incident resolution, and root-cause analysis. Applies responsible AI-assisted development practices and may integrate LLM-based capabilities or AI agent workflows.

Develop and maintain scalable AEM as a Cloud Service applications for client-facing digital experiences. Responsibilities include software design, development, testing, troubleshooting, performance optimization, secure coding, AI-assisted development, and collaboration with agile engineering and product teams. The role requires expertise in AEM templates, components, client libraries, widgets, deployment processes, and headless capabilities, while supporting application resiliency and continuous delivery.

Designs, develops, tests, and maintains scalable, secure systems using Java or Python; applies enterprise AI-assisted coding tools; contributes to architecture, data-driven improvements, CI/CD, and resilient production delivery within agile teams.

Develops and maintains secure, scalable Python and AWS applications within an Applied AI/ML engineering team. Responsibilities include system design, architecture, testing, troubleshooting, code reviews, agile planning, MLOps integration, reliability collaboration with SRE teams, and analyzing data to improve application quality and system architecture. The role also requires responsible use of AI-assisted development tools and collaboration with data scientists.

Develops and maintains Salesforce CRM solutions using Apex, Lightning, LWC, APIs, integrations, and enterprise development practices. Designs secure, scalable software, troubleshoots technical issues, creates architecture artifacts, and improves data quality through reports and dashboards. Collaborates within an agile team, applies CI/CD and resiliency standards, and uses AI-assisted tools for coding, testing, documentation, and productivity while validating outputs for security and correctness.

Designs, develops, and troubleshoots secure, high-quality payment software; creates and executes automated tests and BDD Gherkin scripts; leverages enterprise AI-assisted development tools; produces architecture artifacts; partners with Operations, Product, and Technology; monitors and reports defects, validates test results, and steps in for Test Manager when needed.

Designs, develops, debugs, and delivers secure, production-grade full‑stack Java/Spring Boot and React applications. Leads technical evaluations, drives automation and CI/CD, improves application resiliency and operational stability, and promotes best practices across engineering teams.

Designs, develops, debugs, and maintains secure, scalable software components as part of an agile team. Writes high-quality code (Scala/Java/Python), applies SDLC tooling and CI/CD, works with big-data and AWS services, and drives adoption of enterprise-authorized AI-assisted engineering practices while ensuring resiliency, security, and operational stability.

Build and maintain Java and Kotlin JVM microservices for fixed-income portfolio management, analytics, reporting, trade sizing, exposure monitoring, order management, scenario analysis, compliance checks, and order submission. Design resilient REST APIs, relational database schemas, SQL queries, and migrations. Contribute to architecture, testing, operational stability, data analysis, secure AI-assisted development, CI/CD, and agile engineering practices.

Build and operate scalable machine learning training platforms and pipelines across AWS and other cloud environments. Optimize GPU-based single-node and distributed training for performance, cost, stability, and reproducibility. Develop Kubernetes infrastructure, GenAI and LLM fine-tuning workflows, observability, CI/CD automation, governance controls, and developer self-service tools. Partner with data engineering and platform teams while applying secure, responsible AI-assisted development practices.

Develops secure, scalable full-stack software solutions within an agile team. Responsibilities include designing applications, writing and troubleshooting production code, creating architecture artifacts, analyzing data for system improvements, and maintaining operational resiliency. The role requires Java, React, and Spring experience, software development lifecycle knowledge, testing, application security, CI/CD, and responsible use of AI-assisted development tools.

Leads cloud platform engineering, including secure infrastructure design, developer experience, CI/CD modernization, self-service workflows, observability, and platform tooling. Provides technical leadership, aligns roadmaps with business priorities, and improves engineering productivity through automation and AI-assisted development. Builds AI agents and Model Context Protocol integrations using Google ADK and Anthropic SDKs.

Leads software engineering for JPMorganChase Asset & Wealth Management, designing, developing, testing, debugging, and supporting secure, scalable applications. Reviews code, improves operational stability, evaluates vendor and architectural solutions, and drives adoption of authorized AI-assisted engineering tools. Coaches teams on responsible AI use, validation, security, resiliency, automation, and software development lifecycle practices across cloud-native technology stacks.

Leads full-stack software engineering within an agile banking technology team. Designs, develops, tests, debugs, and supports secure, scalable production applications; reviews code and improves operational stability through automation, resiliency practices, and incident remediation. Guides responsible adoption of AI-assisted development tools, coaches engineers on validation and security, and evaluates vendor and architectural solutions. Requires expertise in Java, Spring, JavaScript frameworks, databases, microservices, AWS, CI/CD, and production support.

Leads the design, development, deployment, and support of secure, scalable full-stack applications using Java, Spring Boot, React, and TypeScript. Owns cloud-native microservices, APIs, event-driven Kafka architectures, observability, reliability, and technical architecture decisions. Mentors engineers and establishes quality standards while advancing AI-assisted development, agentic workflows, responsible AI practices, and engineering automation.

Leads the design, development, testing, deployment, and operational stability of scalable cloud-native software using Golang, Terraform, and infrastructure-as-code practices. Mentors engineers, drives secure coding and automation, leads technical evaluations and software projects, supports public-cloud migrations, and promotes responsible AI-assisted development across agile teams.

Lead modernization of a web product using React, Java, and Spring Boot. Responsibilities include designing scalable micro-frontends, accessible high-performance interfaces, backend APIs, distributed integrations, CI/CD, cloud operations, observability, automated testing, and production conversational or agentic AI features. The role also guides responsible AI-assisted engineering practices, establishes technical standards, troubleshoots production issues, and leads adoption of secure, reliable development patterns.