Software Engineer Jobs in Jersey City, NJ

Design and implement scalable, fault-tolerant Kubernetes control-plane components. Develop Helm charts, custom controllers and CRDs, build deployment automation, monitoring, dashboards, and participate in on-call operations to ensure platform reliability and operability.

Design, implement, and operate production-grade agentic AI and LLM-enabled services on AWS. Build retrieval-augmented systems, APIs, and integrations; optimize performance, scalability, cost, and observability; implement evaluation, testing, guardrails, and secure development practices while collaborating across product and engineering teams.

Design, build, and maintain reliable, secure, and scalable platform software within an SRE/DevOps environment. Implement observability, CI/CD, container orchestration, cloud services, and AI-assisted development practices while mentoring engineers and improving system resilience and automation.

Designs, develops, debugs, and maintains infrastructure automation and production code. Produces architecture artifacts, analyzes large datasets for improvements, drives AI-assisted engineering adoption, and ensures secure, resilient CI/CD processes.

Build, design, and maintain a managed AWS Databricks data platform. Provide platform administration, workspace configuration, resource monitoring, and engineering support to SRE, data engineering, and ML teams. Develop and troubleshoot Python/Java applications, use CI/CD and artifact integrations, leverage Spark and Terraform, and apply enterprise AI-assisted development tools while ensuring secure, resilient, and compliant engineering practices.

Design, build, and deploy scalable multi-tier applications across the SDLC. Write production-quality code in Java/Python/Scala, develop and tune Spark data processing, build RESTful APIs, write and optimize SQL/PLSQL on Oracle, implement CI/CD, observability with OpenTelemetry, and maintain production systems and technical documentation.

Design, build, and deliver production AI/ML solutions using agile practices. Translate business requirements into ML specifications, produce secure high-quality code, create architecture artifacts, analyze large datasets, troubleshoot complex issues, and contribute to engineering communities and continuous improvement.

Design, implement, and automate secure, scalable cloud infrastructure and CI/CD solutions. Build and test reusable Terraform modules, integrate AI/ML for IaC automation, maintain automation scripts, ensure high availability and security compliance, and collaborate with stakeholders in Agile development.

Design, build, and modernize large-scale data platforms and ETL pipelines using Python, Java, Databricks and cloud/big-data technologies. Acquire, transform, validate and enforce data quality, automate workflows with UNIX scripts, write efficient SQL, and follow Agile development and QA best practices.

Lead contributor designing, building, and operating low-latency trading compute infrastructure. Responsibilities include server hardware strategy, OS tuning, automation, build/configuration management, log/metric aggregation, vendor evaluation, developing secure production code, troubleshooting, and driving engineering best practices across teams.

Designs and ships Python-first AI/ML platforms and generative AI applications (including agents). Builds production-grade, secure, scalable solutions using IaC (Terraform), CI/CD, and cloud. Partners with AI researchers and data scientists to move experiments to production, automates remediation, and applies responsible AI and enterprise-authorized AI-assisted development tools.

Develop and maintain critical financial applications and web services for fixed income and exotic derivatives. Provide production support and troubleshooting, lead feature development and data migration projects, create proofs-of-concept, mentor new team members, and coordinate with global teams. Ensure compliance, follow CI/CD and deployment guidelines, and use database management and Unix tools to maintain application stability.

The Software Engineer II will design and implement features for the Developer Experience platform, focusing on CI tools, test systems, and integrations. Responsibilities include end-to-end ownership of projects, code reviews, and onboarding new team members.

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.

Lead an agile team to design, develop, and deliver secure, scalable cloud-native software. Write and review production code, drive AI-assisted engineering adoption, automate remediation, evaluate vendors, and ensure operational stability and secure development practices.

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

Lead design, develop, and automate Hyper-V cluster lifecycle tasks (provisioning, patching, compliance, decommissioning). Build production-grade automation using PowerShell, Platform APIs and orchestration tools, drive AI-assisted engineering practices, troubleshoot infrastructure at datacenter scale, document designs, mentor engineers, and collaborate across global teams.

Lead design and develop scalable, consumer-aligned data products and Delta Lake datasets on Databricks. Build analytics-ready models and PySpark pipelines, ensure data quality, governance, lineage, and performance optimization. Drive AI-assisted engineering practices, collaborate with product, frontend, and analytics teams, and promote reusable data assets for reporting, dashboards, AI, and business applications.

Lead incident response and RCA for bare-metal infrastructure services, improve system observability and automation (Prometheus/Grafana), build CI/CD and Kubernetes deployments, collaborate on hardware automation (Redfish), drive reliability KPIs, reduce on-call load, and document operational workflows across the server hardware lifecycle.

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 design and deliver secure, scalable production systems for banking data technology. Provide technical guidance, write and review high-quality code, drive product and architecture decisions, champion firmwide engineering practices (CI/CD, resiliency, security), and contribute as a subject-matter expert across streaming, cloud-native, and low-latency data platforms.

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 design and build of a global AI/ML deployment platform: architect control plane, multi-region deployments, APIs, autoscaling, and integrations. Own technical direction, engage clients, drive governance of AI-assisted development, and ensure resilient, secure production-grade infrastructure.

Lead design, develop, test, and operate ultra-low-latency C++ trading connectivity and risk modules on Unix/Linux. Integrate FPGA pipelines with C++ for deterministic performance, automate remediation, establish latency/throughput/resiliency tests, and drive AI-assisted engineering adoption across the team.

Lead architecture and delivery of production-grade agentic AI and NLP solutions for client onboarding. Design reusable frameworks (RAG, multi-agent orchestration, LLMs), integrate agents into enterprise systems, define safety/guardrails, advise stakeholders, and champion AI-assisted SDLC improvements to improve delivery, quality, and operational outcomes.