Software Engineer Jobs in Jersey City, NJ

Design, develop, integrate, and maintain enterprise full-stack applications, APIs, microservices, SaaS integrations, and batch-processing solutions. Provide technical leadership for architecture, security, performance, testing, continuous delivery, and cloud deployments. Mentor developers, coordinate across technology and business teams, support vendor-managed solutions, and contribute to agile projects using Java, modern front-end frameworks, Kubernetes, OpenShift, AWS, and related technologies.

Design, develop, test, deploy, and support secure enterprise applications and digital platforms. Build full-stack experiences, APIs, microservices, cloud-native solutions, and AI-enabled capabilities using modern frontend, backend, database, container, and cloud technologies. Implement CI/CD, automated testing, monitoring, and secure coding practices while meeting accessibility, privacy, regulatory, and risk requirements. Collaborate with product, architecture, security, risk, and business stakeholders in a regulated financial-services environment.

Leads full-stack software engineering for enterprise AI/ML data platforms. Designs, develops, tests, deploys, and troubleshoots Java and Python services, batch jobs, data pipelines, and front-end applications. Builds reliable data governance capabilities, analyzes pipeline performance and data quality, creates operational visualizations, and applies automation, observability, security, and responsible AI practices in an agile enterprise environment.

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.

Lead development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

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 the design, development, and support of enterprise-scale full-stack applications using Java, Spring Boot, Angular, React, AWS, Kafka, Docker, and Kubernetes. Designs scalable microservices, REST APIs, distributed and event-driven systems, CI/CD pipelines, and cloud-native platforms. Drives architecture, technical standards, resiliency, observability, security, performance, and production support while mentoring engineers and collaborating with product, architecture, platform, and business stakeholders.

Leads quality engineering and test automation for enterprise IAM systems. Designs journey-based quality strategies, deterministic test data, integration simulations, contract tests, stable UI and API automation, and evidence-based release readiness. Builds and operates human-gated agentic testing ecosystems connected to CI/CD, APIs, databases, and internal tools. Improves test reliability, defect prevention, coverage integrity, triage, governance, and executive reporting while guiding responsible AI-assisted engineering practices.

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.

Lead software engineering for secure, resilient, scalable platforms and data pipelines. Responsibilities include designing production systems, writing and reviewing code, troubleshooting, improving automation and operational stability, adopting responsible AI-assisted development practices, evaluating architectures, and building micro-frontends. The role uses distributed data platforms, orchestration, lakehouse technologies, hybrid cloud environments, backend services, and modern JavaScript or TypeScript interfaces.

Develop and scale backend Java and Kotlin software powering patch discovery, packaging, and deployment across millions of endpoints. Design scalable systems, APIs, data structures, caching solutions, and relational databases while maintaining high testing and code-quality standards. Collaborate with AI workflow, server, platform, design, and product teams. Occasional React or Angular work may support patching workflows and dashboards.

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.

Design, develop, test, and maintain reliable software using functional programming principles. Apply strong typing, domain modeling, and abstraction to solve complex engineering problems across backend, distributed systems, financial infrastructure, blockchain, and developer tooling. Collaborate with engineers and clients, contribute to architecture and technical decisions, investigate issues, review code, communicate trade-offs, and improve engineering practices.

Design, develop, and operate software platforms that automate CoreWeave’s network, including configuration generation, device provisioning, workflow automation, observability, CLIs, and APIs. Write tested Python and Go code, improve service reliability, define SLIs and SLOs, participate in on-call operations, lead architecture decisions, plan complex projects, collaborate across infrastructure teams, and mentor engineers.

Leads development of secure, scalable, low-latency C++ software for an eTrading technology team. Provides technical direction, designs and reviews production code, resolves complex engineering problems, and influences application functionality and technical processes. Promotes software development lifecycle best practices and responsible use of AI-assisted engineering tools, including code review, testing, troubleshooting, and automation. Requires strong cloud-native experience, advanced C and C++ skills, and 10+ years of applied software engineering experience.

Lead development of enterprise-scale AI/ML data platform capabilities, including Java and Python services, data pipelines, APIs, batch jobs, and governance workflows. Responsibilities include system design, testing, deployment, troubleshooting, data quality analysis, observability, automation, and secure software delivery. The role collaborates with distributed Agile teams, improves internal engineering utilities, evaluates emerging technologies, and applies AI-assisted development tools with rigorous validation.

Leads software engineering and data platform development for metrics and payments observability. Designs scalable batch and real-time data pipelines, APIs, data models, quality frameworks, semantic layers, and Spring Boot services. Ensures production readiness through observability, security, resiliency, incident response, and automation. Partners with stakeholders, reviews code, evaluates vendors, and promotes responsible AI-assisted engineering practices. Requires advanced Python, Java, and SQL skills, distributed data processing, Databricks, Airflow, AWS, and scalable API development.

Leads the design and delivery of secure, scalable distributed systems and AI-enabled applications. Responsibilities include architectural leadership, Java or Scala development, cloud engineering, CI/CD, infrastructure automation, API integration, retrieval-augmented generation, agentic workflows, responsible AI adoption, mentoring, and establishing engineering quality and security standards.

Leads architecture, development, and operations for secure, scalable cloud-native platforms. Designs backend services, GraphQL and REST APIs, React micro-frontends, content pipelines, search capabilities, and event-driven integrations using Java, Python, Go, and AWS. Establishes engineering standards for security, resilience, observability, CI/CD, and cost efficiency; mentors engineers, drives cross-team initiatives, evaluates technologies, and promotes responsible AI-assisted development practices.

Leads site reliability engineering for market risk applications, driving resiliency, stability, observability, incident response, service-level objectives, and toil reduction. Mentors engineers, leads design reviews, resolves major incidents, and improves CI/CD, testing, operational readiness, and AI-assisted reliability workflows. Requires Python, container, networking, cloud, monitoring, and enterprise architecture expertise, along with strong security and risk evaluation practices.

Leads software reliability engineering for market risk technology, managing infrastructure, improving operational efficiency, and driving incident management and sustainable software releases. Collaborates across development teams and stakeholders on complex projects, automation, observability, cloud technologies, and AI-assisted reliability workflows. Validates recommendations, maintains security and auditability, and translates analysis into business outcomes.

Leads architecture and delivery of an enterprise-scale risk data platform using Databricks, AWS, Spark, and lakehouse technologies. Responsibilities include building ingestion and transformation pipelines, automating tenant onboarding, implementing infrastructure as code and CI/CD, embedding governance and security, improving reliability and observability, guiding architecture decisions, evaluating AI-assisted engineering practices, influencing senior stakeholders, and mentoring engineering teams.