Software Engineer Jobs in Jersey City, NJ

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 deploy AI/ML models, data pipelines, and secure production systems. Build scalable architecture for training and inference, transform large datasets, implement NLP and generative AI solutions, and productionize models with data scientists. The role requires Python, Java, ML frameworks, cloud platforms, CI/CD, MLOps, containerization, and responsible AI practices, while contributing to technical communities through demonstrations, presentations, and knowledge sharing.

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.

Build and operate container platforms, CI/CD pipelines, artifact repositories, and infrastructure-as-code environments. Support Linux, MySQL, Kafka, load balancers, observability tooling, high availability, disaster recovery, and production resiliency. Automate provisioning, deployment, monitoring, and remediation workflows while collaborating with application, security, and infrastructure teams to improve platform stability and delivery practices.

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.

Leads end-to-end UAT and automated testing for payments technology projects. Responsibilities include test planning, test data and environment coordination, defect management, test script development, Scrum leadership, stakeholder communication, test result validation, and team skills development. The role supports automation initiatives, manages testing timelines and risks, and partners with Operations, Product, and Technology teams to deliver secure, scalable solutions.

Develop and support Java-based trading platform microservices within an agile Asset and Wealth Management technology team. Responsibilities include designing APIs, implementing event-driven and reactive systems, integrating Kafka, messaging, AWS, Kubernetes, Redis, and databases, and ensuring scalability, security, observability, and operational stability. The role involves code reviews, testing, CI/CD, architectural collaboration, documentation, and responsible use of AI-assisted development tools.

Leads performance engineering across the organization by designing load-testing and data-generation frameworks, defining benchmarks and standards, analyzing application, database, and system behavior, and guiding teams in performance optimization. Builds reusable tooling and best practices using k6, JavaScript, Grafana, and InfluxDB while addressing scalability, latency, throughput, and reliability challenges in distributed cloud-native systems.

Develops secure, scalable software solutions for JPMorganChase Asset Management. Responsibilities include architecture and application development, production coding, troubleshooting, database optimization, cloud deployment, event processing, infrastructure automation, and responsible use of AI-assisted development tools. The engineer also analyzes data, creates technical artifacts, supports application resiliency and security, and contributes to agile team practices and reusable engineering patterns.

Build and operate container platforms, CI/CD pipelines, artifact workflows, and infrastructure-as-code environments. Support Linux, MySQL, Kafka, load balancers, observability tooling, high availability, disaster recovery, and production resiliency. Automate provisioning, deployments, monitoring, remediation, and reporting while collaborating with application, security, and infrastructure teams.

Build and operate container platforms, CI/CD pipelines, infrastructure, artifact repositories, databases, Kafka, observability systems, and load-balancing solutions. Provision environments with Terraform, automate operational workflows, support high availability and disaster recovery, and improve platform resiliency, security, and delivery practices. Collaborate with application, security, and infrastructure teams in a regulated enterprise environment.

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.

Develop and maintain secure, scalable software for wealth management platforms. Design distributed systems, write and review Java code, troubleshoot production issues, improve application resiliency, and automate recurring remediation. Lead adoption of approved AI-assisted engineering practices with strong validation, security, and responsible-use standards. Collaborate with business stakeholders, vendors, startups, and internal teams on architectural evaluations. Applications use AWS, Spring Boot, Kafka, agile methodologies, and CI/CD.

Develops secure, scalable full-stack software solutions for Credit Risk Technology. Responsibilities include designing and coding Java applications, creating architecture artifacts, troubleshooting systems, writing automated tests, analyzing data, improving system architecture, and contributing to agile engineering practices. The role may also involve front-end development with ReactJS or AngularJS, cloud technologies such as AWS, and automation.

Develops secure, scalable enterprise software for Whole Lending Technology. Responsibilities include designing and coding Java/Spring microservices, creating architecture artifacts, troubleshooting systems, working with AWS and relational databases, maintaining production stability, and using AI-assisted development tools responsibly. The role also involves analyzing data, improving coding practices and system architecture, collaborating in agile teams, and applying testing, CI/CD, and software development lifecycle practices.

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.

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.

Design, build, and deliver production AI/ML solutions using agile practices. Translate business requirements into ML specifications, produce secure high-quality code, create architecture artifacts, analyze large datasets, troubleshoot complex issues, and contribute to engineering communities and continuous improvement.

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.

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.

Own LLM inference optimization across production workloads, including benchmarking, quantization, speculative decoding, GPU efficiency, inference engine evaluations, KV-cache optimization, and chaos engineering. Partner with platform teams on large-scale AWS GPU serving architectures, establish performance standards, and communicate technical trade-offs to senior leadership. Lead secure, governed adoption of agentic AI engineering workflows and automation across teams.

Leads software engineering efforts within an agile team, designing, developing, testing, debugging, and operating secure, scalable applications. Builds full-stack solutions using C#/.NET, Java, React, Angular, APIs, relational and NoSQL databases, CI/CD, and cloud technologies. Guides architecture evaluations, automation, operational stability, software quality, and adoption of approved AI-assisted development tools. Coaches engineers on responsible AI use, secure coding, testing, and validation practices while contributing to technical communities and team culture.

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.

Develop scalable C++ software that defines and enforces endpoint behavior across millions of managed Windows endpoints. Responsibilities include implementing features, improving platform performance, shipping production code, designing new systems, writing architecture documents, defining subsystem contracts, and collaborating with server, UI, product, and design teams. The role requires deep Windows systems and kernel-driver expertise, with preferred experience in WHQL, minifilter or WFP drivers, macOS Endpoint Security, and Linux kernel development.

Designs, develops, tests, troubleshoots, and maintains secure, scalable cloud-native software solutions. Creates architecture and design artifacts, develops Python and data-intensive applications on AWS and Databricks, builds AWS Glue jobs, and improves system reliability through data analysis, automation, and responsible AI-assisted development. Collaborates within an agile environment while supporting software delivery, security, resiliency, and operational stability.