Software Engineer Jobs in Jersey City, NJ

Lead backend engineer responsible for designing, developing, and delivering secure, scalable Java/Spring Boot services on cloud infrastructure. Drive event-driven, multi-region architectures, operational stability and automation, lead architectural evaluations, mentor engineering communities, and incorporate AI/LLM tools.

Lead an agile engineering team to architect, develop, and productionize secure, scalable software that integrates LLMs and generative AI. Drive AI-assisted engineering practices, mentor engineers, translate business requirements into technical roadmaps, automate reliability, and ensure compliant, high-quality delivery.

Lead development and delivery of KDB-based real-time processing systems. Provide technical direction, write and review production code, optimize large-dataset query performance, ensure scalability, resiliency, and CI/CD, mentor team members, manage delivery planning and testing, and advocate firmwide engineering practices.

Lead development of fraud protection microservices: design, implement, benchmark, and optimize scalable secure systems on AWS. Drive performance best practices, adopt enterprise AI-assisted engineering, mentor teams, and collaborate with stakeholders to ensure application resiliency and operational stability.

Lead and deliver secure, scalable Java/Spring applications on AWS; design, develop, troubleshoot, and improve operational stability. Drive adoption of AI-assisted engineering, review code, automate remediation, and evaluate vendor/architectural solutions.

Lead secure software development: design, implement, review, and debug production code with tamper-proof, auditable methods. Drive adoption and validation of enterprise AI-assisted engineering, automate remediation, perform threat modeling and vulnerability analysis, and evaluate vendors to strengthen security, resiliency, and SDLC controls across teams.

Lead design, architecture, and delivery of full-stack, AI-enabled applications. Provide technical leadership across frontend, backend, APIs, databases, and AI integration. Drive engineering best practices, CI/CD, automated testing, cloud-native (AWS) solutions, and adoption of AI-assisted development while ensuring secure, resilient, scalable systems.

Lead design and delivery of secure, scalable cloud platforms and developer experience tooling. Drive CI/CD, observability, DevSecOps, AI-assisted coding adoption, and build integrations for AI agents and MCP.

Lead and mentor a software engineering team to design, build, and operate secure, scalable cloud-native applications using Java and Python. Drive architecture reviews, CI/CD automation, observability, AI-assisted engineering practices, and data governance while ensuring operational stability and compliance.

Lead a UI team to design, prototype, and deliver scalable, reusable React/TypeScript user interfaces and micro-frontend solutions. Build component libraries, ensure accessibility and performance, collaborate with UX, backend, and DevOps, and mentor junior developers.

Lead engineering role building and evolving the Sigma data-visualization platform: develop C++/Rust->WASM engine, integrate Apache Arrow, build TypeScript/React (Next.js) front-end, extend data adapters, tune WASM performance, ensure secure high-quality production code, drive architecture decisions, evaluate vendors, and lead engineering communities to improve operational stability.

Lead and mentor a team to design, build, and operate agentic LLM systems and production LLM-backed APIs. Own end-to-end ML lifecycle, MLOps, inference optimization, vector memory, safety/guardrails, and cross-functional governance for scalable, secure AI deployments.

Lead and mentor engineers to design, build, and optimize Databricks/Spark ETL pipelines and AWS-based data lake/warehouse solutions. Drive observability, automation, resiliency, performance tuning, and reusable data engineering patterns across teams.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring Boot/React applications. Drives CI/CD, automation, operational stability, vendor evaluations, and engineering communities of practice.

Lead development of AI‑first analytics and data products, modernize the data mesh, build autonomous human‑in‑the‑loop agents for schema drift and governance, design scalable batch and real‑time pipelines, enforce lineage/DQ/governance, and provide technical leadership across analytics, platform, risk, and domain teams.

Lead an agile engineering team to design, build, and maintain secure, scalable Java Spring Boot microservices. Deliver production-quality code, drive architecture and vendor evaluations, mentor developers, improve operational stability, and promote best practices for testing, CI/CD, security, and cloud-native deployments in the financial services domain.

Lead design and implementation of scalable, cloud-native systems using Go and IaC. Provide technical direction, produce secure production code, promote AI-assisted engineering practices, drive cloud migrations, and act as a subject-matter expert across the SDLC.

Lead an agile team to design, develop, and maintain low-latency front-office systems for loan trading, risk and P&L. Produce secure, high-quality production code, troubleshoot end-to-end dependencies, automate remedial work, evaluate vendor architectures, and translate business needs into technical solutions.

Lead backend engineering efforts on an agile team: design, develop, test, and operate secure, resilient Java-based systems. Provide technical guidance, promote enterprise SDLC and AI-assisted development practices, drive automation/CI-CD, manage containerized deployments with Kubernetes, and influence engineering decisions across teams.

Lead design and implement scalable hybrid cloud solutions for transactional, analytics, and RAD workloads. Write and review code, drive AI-assisted engineering adoption, apply SDLC tools, collaborate with leads and stakeholders, conduct code reviews, present technical updates, prioritize work, and mentor team members.

Lead and contribute to an agile engineering team building scalable, secure big-data applications. Provide technical guidance, design and produce production-quality code, drive architecture and tooling decisions, champion AI-assisted engineering practices, and collaborate across global teams to ensure operational stability and delivery.

Lead technical delivery for analytics-focused software: design, develop, test, and operate secure, high-quality production code. Drive automation and CI/CD, evaluate vendor/architecture choices, mentor junior engineers, and promote resilient cloud-native solutions within financial services technology teams.

Lead design, development, and operation of large-scale Spark-based data pipelines and lakehouse solutions. Write and review Python/PySpark and Spark SQL production code, optimize Spark workloads on EMR/Databricks, manage Apache Iceberg table operations, drive AI-assisted engineering adoption, automate reliability and CI/CD practices, and lead technical evaluations and communities of practice.

Lead development of secure, high-quality production software for analytics and credit risk; design, code (Python/Java), review, troubleshoot, automate remediation, drive CI/CD and cloud-native solutions, mentor junior engineers, evaluate vendors, and promote new technologies.

Lead an agile payments engineering team building secure, scalable Java/Spring microservices. Be hands-on (50% coding), perform design, code reviews, and debug. Drive adoption of enterprise AI-assisted development practices, ensure CI/CD, resiliency, operational stability, mentor engineers, evaluate vendors, and manage stakeholders to meet compliance and business SLAs.