Software Engineer Jobs in Jersey City, NJ

Lead the design, development, and operation of secure, scalable AI/ML cloud platforms. Build infrastructure, automation, APIs, deployment workflows, and GPU-enabled environments for model training and inference. Drive reliability, observability, cost optimization, incident response, and enterprise LLM operationalization. Partner with data science and engineering teams while promoting responsible AI-assisted development, secure coding, automated testing, and production-quality delivery.

Leads design and development of real-time, mission-critical software using Java and Kafka. Provides technical leadership across system design, application development, testing, cloud-native delivery, resiliency, security, and performance optimization. Promotes AI-assisted engineering practices, validates AI outputs, evaluates architecture and vendors, and mentors teams through communities of practice. The role operates within an agile financial services technology environment.

Designs, develops, reviews, and maintains scalable, highly available software applications across digital channels. Responsibilities include creating technical specifications, writing maintainable code, evaluating architectural solutions, participating in Scrum ceremonies, managing user stories and tasks, monitoring development progress, and mentoring junior engineers. The role requires experience with Claude Code or Google Gemini, modern programming languages, web services, cloud platforms, and software architecture.

Design and build secure, scalable enterprise clinical workflow systems for Butterfly Cloud. Solve distributed-systems challenges involving elasticity, reliability, performance, and automated validation. Lead system design, own business problems, guide developers through execution, and mentor engineers. The role may span frontend and backend layers and involve cloud architecture, observability, search, real-time applications, GraphQL, containerization, and healthcare data compliance.

Develops and maintains software solutions across full-stack applications and infrastructure. Responsibilities include hands-on Java and Python coding, Kafka and API development, database work, CI/CD pipeline maintenance, testing, troubleshooting, system design, and translating business requirements into technical solutions. Works in Agile teams, follows security and development standards, supports production systems, estimates project work, and mentors junior associates.

Leads architecture, development, deployment, and optimization of enterprise LLM and GNN serving platforms across AWS, cloud, and on-premises environments. Establishes MLOps and LLMOps strategies, agentic AI engineering standards, automation, governance, observability, and operational practices. Optimizes inference for throughput and latency using Triton and vLLM, partners with data science and SRE teams, and influences senior stakeholders on secure, responsible AI adoption.

Lead full-stack engineer responsible for designing, developing, testing, and operating secure, scalable applications. Drive adoption of AI-assisted engineering practices, improve operational stability through automation, lead vendor and architecture evaluations, and coach teams on secure, compliant AI use. Contribute high-quality production code, code reviews, and technical troubleshooting across the SDLC within financial services contexts.

Lead design and delivery of secure, scalable full-stack solutions. Develop, review, and troubleshoot production code; drive automation and CI/CD; champion AI-assisted engineering practices; evaluate vendor and architectural options; mentor teams and promote resilient, reusable design patterns across the organization.

Lead design, development, testing, and production support of enterprise Java web applications. Collaborate with stakeholders on requirements and architecture, write code and tests, perform code reviews, support integration/UAT/performance testing, and drive adoption of enterprise AI-assisted engineering practices and SDLC automation.

Leads design, development, deployment, and support of Privileged Access Management solutions. Provides technical leadership across security architecture, integrations, testing, automation, cloud platforms, and operational stability. Partners with stakeholders and vendors, performs proofs of concept, documents implementations, and provides Level 3 support. Drives secure, responsible adoption of AI-assisted engineering practices, validates AI outputs, and coaches teams on compliant usage.

Design, develop, test, deploy, and support Genesys IVR, voice, chat, and conversational AI solutions in a cloud contact-center environment. Partner with business and technology teams to translate requirements into technical solutions, improve customer self-service, and deliver AI-powered virtual assistants and automation. The role also involves SQL-based data analysis, reporting, data quality validation, troubleshooting, and AI-assisted UX/UI prototyping and front-end development.

Lead the architecture and operations of network services, optimizing performance and scalability for AI workloads while ensuring security and compliance.

The role involves designing and implementing distributed storage solutions for AI workloads, developing scalable storage systems, optimizing performance, and mentoring engineers. It requires collaboration with various teams to ensure system reliability and efficiency.

The Senior Software Engineer will design and build secure sandboxed runtime environments for Kubernetes, focusing on GPU workloads and ensuring performance and security in multi-tenant configurations.

Leads design, development, testing, troubleshooting, and operational stability for real-time, mission-critical Python systems. Drives AI-assisted engineering practices, cloud-native delivery, automation, resiliency, security, and performance optimization. Evaluates architecture and technology with vendors and internal teams, leads software engineering communities of practice, and coaches engineers on responsible, secure, and compliant use of AI tools and large language models.

Serve as the technical lead for Trade Finance software solutions, directing architecture, application development, integrations, data platforms, cloud infrastructure, security, and modernization. Translate business requirements into technical designs, guide engineering teams, establish development standards, oversee software quality and production support, and evaluate emerging technologies. The role also defines AI strategy, governance, and transformation initiatives while collaborating with product, operations, compliance, vendors, and other stakeholders.

As a Software Engineer, you will develop full-stack workflows, utilize LLMs and AI for document processing, and manage high-impact features while collaborating with the team and customers.

Lead QA efforts by designing and executing manual and automated tests, building and maintaining test automation frameworks, mentoring testers, driving QA processes, reporting defects, and integrating tests into CI/CD to ensure high product quality.

The Staff Test Software Developer will design and develop test systems and software for manufacturing processes, manage software updates, and collaborate with cross-functional teams to enhance testing functionality and performance.

This role involves designing and building next-gen payments platforms using blockchain and AI technologies, focusing on payment modernization, security, and regulatory compliance.

The Staff Software Engineer will design and implement the backend architecture for Marimo's molab, focusing on high availability, low latency, and system stability, while utilizing CoreWeave's infrastructure.

Lead development of secure Identity and Access Management solutions: design, build, test, and stabilize production systems. Drive automation, CI/CD, cloud-native and AI-assisted engineering adoption, lead vendor evaluations, mentor teams on secure coding, authentication/authorization, RBAC/ABAC, and operational resilience.

Lead design and deliver multi-cloud security and continuous compliance solutions across Azure/AWS/GCP. Build automated preventive/detective/corrective controls, implement audit-ready observability, author production code (Python/Go, with Java integrations), optimize CI/CD (Jenkins), operate Kubernetes/workflow orchestration, integrate enterprise systems, and drive secure, resilient engineering and responsible AI-assisted development practices.

Build and own the architecture for Dune’s curated data lifecycle, including dependency-aware orchestration, backfills, schema evolution, retries, recovery, data quality, and alerting. The role combines backend software engineering with large-scale data systems work across Go, Kotlin, Rust, Python, and SQL. Responsibilities include designing ingestion and curation contracts, making architecture decisions, solving ambiguous problems, and leading work that other engineers can execute.

Lead and contribute to full-stack Java/React development, design secure high-quality production code, drive adoption of AI-assisted engineering, improve automation and operational stability, evaluate vendor architectures, and lead engineering communities of practice while promoting resilient, secure CI/CD practices.