Software Engineer Jobs in Jersey City, NJ

Design, develop, test, and maintain secure, scalable Java/React applications; produce architecture artifacts; use AI-assisted coding tools responsibly; troubleshoot, optimize, and analyze large data sets to improve application resiliency and operational stability.

Designs, develops, and troubleshoots secure, high-quality Java microservices and RESTful APIs. Writes TDD/BDD tests, produces architecture artifacts, uses SDLC toolchain and CI/CD, analyzes data for improvements, and responsibly applies enterprise-authorized AI-assisted development tools.

Designs, develops, debugs, and maintains secure, scalable software components as part of an agile team. Writes high-quality code (Scala/Java/Python), applies SDLC tooling and CI/CD, works with big-data and AWS services, and drives adoption of enterprise-authorized AI-assisted engineering practices while ensuring resiliency, security, and operational stability.

Design, develop, and maintain scalable software and data pipelines using Python and PySpark. Build cloud-native, serverless microservices on AWS, implement testing and CI/CD, optimize performance, ensure data security, mentor junior engineers, and collaborate with cross-functional teams to support analytics and ML workflows.

Design, build, and deploy full-stack, cloud-native AI-enabled products. Implement Python backends, React frontends, integrate LLMs/agent frameworks, work with PostgreSQL/Aurora, write tests, and follow secure CI/CD practices.

Design, develop, troubleshoot, and deliver secure, scalable Java-based microservices. Produce architecture and design artifacts, write production-quality code, use AI-assisted development tools responsibly, apply SDLC and CI/CD practices, analyze data to improve systems, and ensure operational stability and resiliency.

Design, develop, test, and maintain secure, high-quality production software. Create architecture and design artifacts, analyze large datasets to improve systems, troubleshoot complex problems, and contribute to engineering communities and inclusive team culture.

The Senior Software Engineer will design and support Kubernetes infrastructure, develop applications in Go, and enhance platform reliability, performance, and observability in CoreWeave's AI-focused environment.

Participate in a two-day social-impact hackathon building tech solutions for nonprofits. Develop, test, and troubleshoot software; write secure code; collaborate with engineers and stakeholders; use automation and approved AI development tools responsibly; attend training and mentorship; and potentially be considered for a 2027 Software Engineer Program Summer Internship.

Designs, develops, debugs, and delivers secure, production-grade full‑stack Java/Spring Boot and React applications. Leads technical evaluations, drives automation and CI/CD, improves application resiliency and operational stability, and promotes best practices across engineering teams.

Design, build and enhance large-scale marketing and events data platforms. Ingest, transform and validate data on AWS/Databricks, implement/optimize ETL, enforce data quality, write services and automation, and collaborate in Agile teams to deliver production solutions.

Leads site reliability engineering for electronic trading services by defining availability targets, embedding non-functional requirements into design and testing, and implementing observability, service level objectives, resilience, and automation. Mentors engineers, drives reliability adoption, leads AI-assisted operational workflows with security and auditability controls, develops technical roadmaps, troubleshoots complex infrastructure issues, and collaborates across platforms to modernize systems.

Leads development of cloud-native, microservices-based applications and agentic AI systems. Designs resilient AWS architectures, manages Terraform infrastructure, builds multi-agent workflows, and promotes secure AI-assisted engineering practices. Troubleshoots recurring issues, drives automation, supports zero-downtime releases, and leads engineering communities of practice. The role also includes mentoring, stakeholder collaboration, agile delivery, and applying responsible AI, security, resiliency, and validation standards.

Leads development and operation of secure, scalable AI/ML cloud platforms. Designs AWS infrastructure, Kubernetes environments, GPU workloads, infrastructure-as-code, deployment tooling, APIs, and MLOps workflows. Drives reliability, observability, automation, model serving, and enterprise LLM operationalization while partnering with data science and engineering teams. Coaches teams on responsible, secure use of AI-assisted development tools and establishes validation standards for production software.

Lead the design, implementation, and operation of AWS cloud platforms and EKS Kubernetes environments. Build infrastructure as code with Terraform or CloudFormation, standardize networking, IAM, secrets, observability, and CI/CD patterns, and troubleshoot production workloads. Support security, incident response, performance testing, automation, and operational stability. Lead adoption of responsible AI-assisted engineering practices, coach teams on secure validation, and evaluate architectural solutions with vendors and internal stakeholders.

Lead design, development, troubleshooting, and deployment of automation for virtualized clusters and Kubernetes or OpenShift lifecycle operations. Build scalable server-side services, automate provisioning and compliance workflows, improve operational stability, and manage distributed systems using workflow orchestration. Promote responsible AI-assisted engineering practices, establish validation standards, document technical decisions, and mentor engineers through design and code reviews.

Lead software engineers and applied AI/ML practitioners while developing secure, scalable production systems in Java or Python. Integrate LLMs, generative AI, NLP, RAG, and coding assistants into software engineering workflows. Establish responsible AI governance, validation standards, testing, security, and operational practices. Guide system architecture, experiments, algorithm implementation, productionization, code quality, automation adoption, and technical decision-making across global teams.

Leads software engineering efforts across design, development, testing, troubleshooting, and operational stability. Builds secure, scalable production applications using C#/.NET, Java, React, and related technologies; reviews code and drives automation, CI/CD, cloud development, and testing practices. Leads adoption of approved AI-assisted engineering tools with responsible-use standards, evaluates architectural solutions with vendors and internal teams, and promotes engineering communities of practice.

Leads the design and development of secure, scalable software frameworks and production systems. Builds reusable engineering platforms, reviews code, improves SDLC automation, and governs agentic AI-enabled development workflows with responsible AI, security, resiliency, auditability, and human-in-the-loop controls. Advises cross-functional teams, solves complex technical problems, promotes cloud-native practices, and influences senior technology and business leaders.

Lead design, build, and operate AI-driven automation and infrastructure tooling. Develop secure production code, deploy on Kubernetes, define observability/SLOs, drive AI-assisted engineering adoption, and lead cross-team technical decisions.

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.

Lead design, build, deploy, and maintain production-grade ML/data platform software and pipelines. Ingest, transform, and store large datasets, construct end-to-end ML model pipelines, deploy systems to production, meet SLAs for incident resolution, and promote secure, AI-assisted engineering practices and validation standards across the team.

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

Lead development of scalable, secure software for loan-related legal documentation and equity loan platforms. Design and re-architect applications, implement AI-enabled analysis capabilities, improve performance and operational stability, and guide global engineering teams. Collaborate with Trading, Quantitative Research, Operations, stakeholders, vendors, and contractors while contributing to architecture, system integration, testing, SDLC practices, and engineering community initiatives.

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.