Software Engineer Jobs in Jersey City, NJ

Leads software engineering within agile teams by designing, developing, testing, and troubleshooting secure, scalable Java or Python applications. Builds blockchain solutions, including Ethereum smart contracts and decentralized applications, and uses AWS to deploy cloud systems. Contributes to architecture, resiliency, CI/CD, data analysis, and production stability. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, and coaches engineers on secure and compliant usage.

Lead design, develop, test, and support enterprise backend services using Java/Spring Boot and Python. Build RESTful APIs, integrate data services, and deliver AI/ML-enabled features (LLMs, RAG, vector search) through the full SDLC. Produce architecture artifacts, ensure code quality, observability, security, and collaborate in Agile teams.

Leads software engineering and quality engineering for JPMorganChase’s Payments team. Builds and maintains large-scale test automation frameworks, integrates automated testing into CI/CD pipelines, and supports application development, system design, and operational stability. Drives responsible use of AI-assisted engineering tools, improves test quality and delivery speed, and establishes validation, security, and resiliency standards. Oversees complex, high-risk projects and promotes practices such as failure triage, contract testing, service validation, and canary testing.

Leads development of secure, scalable Java and AWS software systems, including microservices, event-driven platforms, and production machine-learning systems. Designs data and feature pipelines, model deployment and monitoring, automation, CI/CD, and operational stability practices. Guides code reviews, testing, secure coding, vendor evaluations, and responsible adoption of AI-assisted engineering tools. Collaborates across product, data, platform, SRE, and governance teams while promoting MLOps, LLM, observability, and model-monitoring practices.

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 end-to-end full-stack software engineering for secure, scalable risk framework products. Responsibilities include Java and Spring Boot development, React and TypeScript frontend engineering, system design, API and event-driven integrations, automated testing, DevOps, SRE, observability, incident response, and reliability improvements. The role also establishes technical direction, reviews code, evaluates architectural solutions, automates recurring remediation, and coaches teams on secure, responsible use of AI-assisted engineering tools.

Leads the design, development, testing, troubleshooting, and operational support of secure, scalable cloud-native applications. Builds Java and Spring Boot microservices on cloud platforms, improves resiliency and availability, supports CI/CD, investigates incidents, and drives durable automation. The role also leads responsible adoption of AI-assisted engineering tools, establishes validation standards, and coaches team members on secure and compliant use.

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.

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 engineering efforts to maintain and enhance an access governance system. Design and implement distributed, secure, and scalable solutions, promote AI-assisted engineering best practices, ensure validation standards, and collaborate across teams to improve code quality and operational outcomes.

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.

Design, build, and optimize low-latency, high-throughput Spring Boot distributed services and cloud-native AWS architectures. Implement IaC (Terraform/CloudFormation), observability (Datadog/Dynatrace/Splunk), and containerized deployments. Own production reliability, mentor engineers, lead standards, and drive adoption of AI-assisted engineering practices and secure, scalable ML platform solutions.

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.

Lead a global agile scrum team to design, build, and operate scalable, secure microservice-based applications. Integrate AI (Claude Code) into development and delivery, drive architecture and technical decisions, mentor engineers, enforce AI-assisted engineering governance, and ensure production quality, stability, and automation across the SDLC.

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.

Lead design, develop, and deliver secure, scalable full‑stack applications. Write and review production code, troubleshoot, automate remediation, drive CI/CD and resiliency, evaluate vendors, and promote engineering best practices across teams.

Lead development and delivery of secure, production-grade AI-enabled applications. Design, code, test, and operate AI features; drive adoption of AI-assisted engineering practices; evaluate model safety and integrations; automate remediation and reliability; coach teams on responsible AI, secure coding, and CI/CD for cloud-native environments.

Lead firm-wide adoption and operationalization of AI/LLM-enabled software engineering across the SDLC/PDLC. Design and scale agentic systems, orchestration, guardrails, monitoring, and secure integrations. Partner with platform and App Dev leaders to deliver production-grade, auditable AI workflows that reduce developer toil, improve reliability, and meet governance, security, and observability standards.

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 design, development, deployment, and operation of security monitoring controls and tooling (API-first, microservices) with focus on blockchain security. Build CI/CD pipelines with automated testing and security guardrails, implement secure SDLC practices, integrate blockchain security telemetry, automate remediation, and provide SME input during vendor evaluations and proofs-of-concept.

Lead technical delivery of secure, scalable software and automation across the SDLC. Design, develop, review, and debug production code; drive automation to remediate recurring issues; lead vendor evaluations and engineering communities; govern AI-assisted engineering practices and cloud-native solutions to improve resiliency, security, and delivery outcomes.