Software Engineer Jobs in Jersey City, NJ

Develops and supports secure, scalable software solutions for Wholesale Credit Risk Technology. Responsibilities include application design, Java and React development, troubleshooting, architecture documentation, testing, data analysis, and maintaining production stability. The role uses Spring Boot, Kafka, JUnit, Mockito, agile practices, CI/CD, and enterprise-authorized AI coding tools while ensuring secure, resilient, high-quality engineering outcomes.

Design, develop, and operate secure AWS-based data platform services and Python control-plane automation. Build backend APIs, infrastructure-as-code, provisioning workflows, pipeline enablement, and IAM/security controls. Drive reliability, observability, testing, CI/CD, and scalable architecture while partnering with security, data engineering, and application teams. Use authorized AI-assisted development tools responsibly and validate generated outputs for security, correctness, and performance.

Develops secure, scalable Java and Spring Boot applications within an agile technology team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, system stability, and continuous improvement. The role also contributes to engineering practices and uses enterprise-approved AI coding tools and automation. Required technologies include Java, Spring Boot, Kubernetes, and cloud platforms, with Kafka, Cassandra, Spark, Scala, and HDFS preferred.

Build and modernize large-scale data platforms supporting Client 360 and marketing and events initiatives. Acquire, transform, validate, and analyze complex data using AWS, Databricks, ETL, Python, Java, SQL, and big data technologies. Develop services and scripts, automate data preparation and database loads, enforce data quality standards, write tests, and deliver architectural and business solutions within an Agile team.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and operate secure AWS-based data platforms and control planes using Python, React, and infrastructure-as-code. Develop backend services, APIs, provisioning automation, self-service workflows, and Databricks enablement. Implement IAM, encryption, networking, observability, CI/CD, testing, and reliability practices. Collaborate with security, data engineering, and application teams while responsibly using enterprise AI-assisted development tools.

Build and operate Go- and Python-based backend services for LLM-enabled applications. Responsibilities include designing bidirectional streaming gRPC services with Protobuf, integrating authentication, caching, messaging, persistence, observability, and rate controls, and supporting production reliability. The role requires secure coding, testing, CI/CD, incident support, and responsible use of AI-assisted development tools. Preferred experience includes LLM streaming, OpenTelemetry, containerized environments, messaging systems, Redis, RPC security, and AI workload cost management.

Build and operate scalable batch and streaming data pipelines on AWS Databricks using Python, Spark, Delta Lake, and Structured Streaming. Responsibilities include ingestion, CDC, workflow orchestration, performance and cost optimization, governance, security, monitoring, testing, CI/CD, infrastructure as code, incident response, and documentation. The role also promotes secure, responsible use of enterprise AI-assisted development tools.

Develops secure, scalable full-stack software for payments technology using Python and React. Designs application architecture, writes and troubleshoots production code, builds automated tests with Playwright and Pytest, and supports operational stability. Uses AI-assisted development tools responsibly to improve coding, testing, and documentation while validating outputs for security and correctness. Analyzes data, creates visualizations, and identifies patterns that improve software quality and system architecture within an agile SDLC environment.

Develop and maintain full-stack cloud-native applications using Java, TypeScript, Spring Boot, Spring Cloud, AWS, microservices, Kafka, and infrastructure as code. Build agentic workflows, reactive systems, and resilient services; perform testing, troubleshooting, performance testing, architecture design, and secure SDLC practices. Use authorized AI-assisted development tools responsibly and contribute to scalable software solutions in an agile banking technology environment.

Designs and supports production PySpark and SQL pipelines, analytical datasets, reporting views, and visualization-ready data products for market risk. Applies data modeling, quality, lineage, governance, testing, CI/CD, monitoring, and secure software practices. Collaborates with risk experts, business stakeholders, and engineering teams to resolve data and performance issues, while using validated AI-assisted development tools and exploring automation opportunities.

Build and maintain enterprise audit applications using Java, Python, Spring Boot, REST microservices, React, and cloud-native technologies. Responsibilities include designing, testing, deploying, and operating software; developing CI/CD pipelines; managing containerized cloud deployments; conducting code and design reviews; applying secure and resilient engineering practices; supporting monitoring and incident response; and using AI-assisted development tools responsibly. The role also contributes to agile ceremonies, technical evaluations, continuous improvement, and potential LLM-based application capabilities.

Build and operate production-grade agentic AI and large language model services for Finance workflows. Responsibilities include developing AWS cloud-native platforms, retrieval and context-engineering capabilities, APIs, front-end integrations, evaluation and observability systems, and scalable event-driven services. The role also involves optimizing performance and cost, implementing secure AI guardrails, troubleshooting distributed systems, and contributing to technical standards, documentation, code reviews, and responsible AI development practices.

Design, build, deploy, and operate production LLM-powered agents on JPMorganChase’s NEO platform. Responsibilities include Graph RAG, agent memory, context and entitlement management, multi-agent workflows, MCP integrations, evaluations, guardrails, observability, cloud deployment, security, resiliency, and collaboration with business and engineering stakeholders. The role also requires identifying data and architecture improvements across the software development lifecycle.

Develops, tests, troubleshoots, and maintains secure, stable, and scalable software components in a Linux C/C++ environment. Responsibilities include system design, application development, technical problem-solving, SDLC execution, automation, CI/CD, resiliency, security, and responsible use of AI-assisted development tools. The engineer collaborates within an agile team and analyzes data to support reliable application development.

Develops, tests, troubleshoots, and maintains secure, scalable Python software within an AI/ML data platform. Responsibilities include system design, observability, SLI/SLO monitoring, telemetry, resilient application development, data analysis, SDLC execution, and agile collaboration. The role also applies responsible AI practices and may support Spark data pipelines, AWS and Databricks administration, and Docker/Kubernetes orchestration.

Designs, develops, and maintains large-scale data integration solutions for asset management. Builds production-grade Python applications, microservices, REST APIs, and AWS cloud-native systems. Collaborates with product and data teams, contributes to data models, testing, CI/CD, system resiliency, and security. Troubleshoots production issues, participates in code reviews, uses AI-assisted development tools responsibly, and mentors junior engineers.

Develops and maintains secure, scalable software for a trading platform using Java, Python, React, and database technologies. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, application resiliency, security, and SDLC automation. The role also requires responsible use and validation of enterprise-authorized AI coding tools, collaboration within an agile environment, and continuous improvement of software quality and architecture. AWS exposure is preferred.

Leads the design, development, testing, troubleshooting, and delivery of secure, scalable cloud-native microservices and full-stack applications. Builds resilient architectures, reviews production code, automates recurring remediation, and resolves operational issues. Drives adoption of approved AI-assisted engineering tools while establishing validation, security, and responsible-use standards. Mentors engineers, promotes modern software practices, and leads communities of practice across Software Engineering.

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.

Lead software engineering for JPMorganChase’s eTrading team by designing, developing, testing, debugging, and operationally stabilizing secure, scalable C and C++ applications. Provide technical direction, influence architecture and product decisions, promote software development lifecycle practices, and serve as a subject matter expert. Drive responsible adoption of AI-assisted engineering tools, including code review, testing, troubleshooting, and automation, while ensuring security, correctness, and performance.