Full-stack Engineer

• Design and implement software solutions supporting financial information processing across cloud-based and on-premises environments
• Mentor and guide junior developers, providing oversight for effective task execution and delivery
• Analyze business requirements and ensure solutions meet functional and compliance needs
• Collaborate with cross-functional development teams to support seamless system integration
• Maintain software quality and adherence to development standards and guidelines
• Evaluate and recommend tools and frameworks for software development and test automation
• Leverage AI-enabled tools to improve design, coding, and testing
• Lead and participate in Agile ceremonies, including planning, stand-ups, reviews, and retrospectives

Lead Software Engineer

• Design, develop, and maintain backend services, platform APIs, automation frameworks, and developer-facing services using Golang
• Build scalable, resilient, and secure distributed systems supporting enterprise platform engineering capabilities
• Develop Kubernetes-native components such as controllers, operators, CRDs, admission webhooks, and automation services
• Build software integrating with Kubernetes APIs, OpenShift, CI/CD platforms, observability tools, security systems, and enterprise infrastructure services
• Design API-first solutions using REST, gRPC, event-driven patterns, and asynchronous workflows
• Apply system design principles around scalability, resiliency, concurrency, caching, reliability, fault tolerance, and performance optimization
• Use AI-assisted and agentic programming approaches to improve engineering productivity, automate repetitive platform tasks, and enhance developer experience
• Build intelligent automation capabilities such as code analysis agents, remediation workflows, backlog generation, operational assistants, or developer self-service agents
• Troubleshoot complex production issues across Go services, Kubernetes workloads, APIs, networking, and distributed systems
• Participate in architecture reviews and help define engineering standards for Go-based platform services
• Collaborate with platform engineering, SRE, security, DevOps, AI engineering, and application teams to deliver reliable enterprise-scale solutions

Software Engineer – Golang, System Design, Kubernetes, AI Automation

• Design, develop, and maintain backend services, platform APIs, automation frameworks, and developer-facing services using Golang
• Build scalable, resilient, and secure distributed systems for enterprise platform engineering
• Develop Kubernetes-native components such as controllers, operators, CRDs, admission webhooks, and automation services
• Integrate software with Kubernetes APIs, OpenShift, CI/CD platforms, observability tools, security systems, and enterprise infrastructure services
• Design API-first solutions using REST, gRPC, event-driven patterns, and asynchronous workflows
• Apply system design principles covering scalability, resiliency, concurrency, caching, reliability, fault tolerance, and performance optimization
• Use AI-assisted and agentic programming approaches to improve productivity, automate platform tasks, and enhance developer experience
• Build intelligent automation such as code analysis agents, remediation workflows, backlog generation, operational assistants, and developer self-service agents
• Troubleshoot complex production issues across Go services, Kubernetes workloads, APIs, networking, and distributed systems
• Participate in architecture reviews and define engineering standards for Go-based platform services
• Collaborate with platform engineering, SRE, security, DevOps, AI engineering, and application teams

• Act as the principal designer for major systems with moderate complexity and their subsystems
• Provide consultation to business unit and IT management and staff on application programming and processes across diverse development platforms and computing environments
• Identify application development solutions, new or modified programs, code reuse opportunities, and purchased-solution integrations
• Research and evaluate alternative solutions and recommend efficient, cost-effective application programming solutions
• Code new or modified programs, reuse existing code, and/or integrate purchased solutions
• Document, test, implement, and provide ongoing application support
• Conceive, plan, and deliver initiatives using creativity, foresight, and judgment
• Advise functional leaders using deep professional knowledge
• Provide thought leadership within Application Development on broader business projects
• Serve as an internally recognized subject matter expert

Senior Software Engineering Advisor

• Contribute to BD Medication Delivery Solutions’ Injection Systems team
• Provide technical and project leadership for complex product development and lifecycle management initiatives
• Develop project strategies, align cross-functional teams, manage technical risks, and drive execution
• Serve as an organizational spokesperson and advisor to management, customers, and stakeholders
• Apply advanced engineering principles across multiple disciplines to solve complex technical problems
• Develop technological concepts and mature them into commercial products
• Lead major development programs across R&D, Quality, Regulatory, Manufacturing, Supply Chain, Procurement, and external partners
• Guide material, design, and process changes through the design control process
• Develop technical solutions using experimental, computational, analytical, and statistical methods
• Provide expertise in elastomeric materials and components, including selection, formulation, manufacturing, characterization, testing, design, supplier collaboration, and integration into drug delivery systems
• Design, develop, and use in vivo and in vitro models to evaluate product performance and design improvements
• Develop test methods, design test fixtures, and execute measurement system analyses
• Plan, execute, and analyze Design of Experiments (DOE)
• Lead bench studies, tolerance analyses, design verification, design validation, supplier engagement, specifications, and technical reports
• Perform advanced data analysis using statistics, regression, modeling, and transfer functions
• Present technical data and conclusions to project teams, leadership, customers, and regulatory stakeholders
• Support new product opportunities, business cases, technology strategy, and portfolio growth
• Mentor and develop engineers and technical team members
• Ensure compliance with BD quality policies, procedures, and practices

Senior Staff Engineer, R&D – Medication Delivery

• Design, develop, and support Hyperion Planning, Financial Management (HFM), Essbase, Financial Reporting (FR), and Smart View solutions
• Develop and maintain interactive Power BI dashboards, reports, and semantic data models
• Collaborate with Finance, Accounting, and Business teams to gather reporting and planning requirements
• Perform data integration, validation, reconciliation, and financial data analysis
• Optimize reporting processes and automate manual financial reporting activities
• Support month-end, quarter-end, annual planning, forecasting, and budgeting cycles
• Troubleshoot system issues and provide user support for Hyperion and Power BI platforms
• Ensure compliance with enterprise data governance, security, and audit requirements
• Partner with cross-functional teams to drive reporting modernization and continuous improvement initiatives

Senior Software Development Engineer

• Design and define technical architecture and infrastructure for digital solutions
• Utilize Natural Language Processing, Deep Machine Learning, and Algorithms & Data Structures
• Write code, develop software components, and implement complex functionalities
• Collaborate with development team members and stakeholders on architectural decisions and design patterns
• Ensure scalability, performance, maintainability, and code efficiency
• Integrate software components and systems for interoperability
• Write and execute test cases, conduct code reviews, debug, and troubleshoot issues
• Participate in agile development methodologies, meetings, and project planning
• Explore tools, frameworks, and techniques to improve digital solutions
• Create and maintain technical documentation and share knowledge with team members

Software Development Engineer

• Design, build, and maintain Ruby on Rails services and APIs alongside modern JavaScript/React frontends
• Own the quality, performance, and reliability of services and frontends
• Lead the end-to-end design and delivery of complex, well-scoped features and systems
• Write clear, maintainable, well-tested code
• Simplify services, improve patterns, and reduce technical debt
• Mentor junior engineers through code reviews, feedback, and knowledge sharing
• Evolve the platform to support new services and capabilities across adjacent codebases and domains
• Partner with external vendors and Product and Customer Success stakeholders to turn requirements into technical solutions
• Use AI-assisted development tools for coding, testing, and debugging
• Follow and promote secure, scalable, cloud-native web application development practices
• Contribute to an API-driven platform used globally to issue and verify digital credentials
• Contribute to architectural decisions and raise the technical bar for the engineering team

Software Engineer III

• Build the PSA Liquidity Platform connecting supply and demand across PSA Partner Offers and eBay Consignment
• Lead development of buyer tooling for targeting, campaign management, budget controls, and analytics
• Build and optimize a real-time offer pricing, targeting, and ranking engine
• Improve seller experiences for pricing items and completing sales through PSA Partner Offers or eBay Consignment
• Design and operate scalable microservices and distributed, event-driven systems across millions of collectibles
• Use AI tooling across the development lifecycle
• Own projects end-to-end from ambiguous problem definition through shipped, instrumented production products
• Translate strategy into technical plans, specifications, and user stories
• Coordinate delivery across engineering teams and align stakeholders
• Connect liquidity handoffs across Grading, Collection Management, and Vaulting, including payments, logistics, and risk dependencies
• Communicate technical complexity and tradeoffs in executive reviews, standups, writing, and in-person discussions

Senior Software Engineer – PSA Liquidity

• Understand business problems and translate them into scalable AI/ML and Generative AI solutions
• Design, develop, and deploy enterprise-grade AI systems focused on reliability, scalability, monitoring, and measurable outcomes
• Lead or contribute to multiple AI initiatives while coordinating with engineering leads, product managers, architects, and offshore teams
• Independently drive proof-of-concepts, pilots, and production implementations
• Design and implement Agentic AI workflows for multi-step reasoning, orchestration, task automation, and intelligent decision support
• Build AI agents using LangChain, LangGraph, LlamaIndex, CrewAI, MCP, or equivalent orchestration platforms
• Implement memory management, evaluation pipelines, guardrails, failure recovery, and observability
• Develop prompt engineering strategies and optimize LLM interactions
• Build scalable RAG systems with document ingestion, chunking, embeddings, vector databases, hybrid retrieval, re-ranking, and citation traceability
• Work with vector stores such as FAISS, Pinecone, Weaviate, or similar technologies
• Implement evaluation frameworks for retrieval quality and response accuracy
• Develop and optimize ML and deep learning models for predictive analytics, classification, forecasting, NLP, computer vision, and recommendation systems
• Participate in model fine-tuning, instruction tuning, RLHF, LoRA, and PEFT initiatives
• Build scalable AI infrastructure on Azure, AWS, or GCP
• Implement MLOps practices including CI/CD, model monitoring, experiment tracking, infrastructure automation, and deployment orchestration
• Work with Docker, Kubernetes, Terraform, MLflow, Airflow, and GitHub Actions
• Optimize infrastructure usage, performance, and operational cost
• Collaborate with onsite and offshore engineering teams, technical leads, architects, QA, DevOps, and product stakeholders
• Mentor junior engineers and contribute to AI capability building

Full-stack Engineer jobs in New Jersey

Lead Software Engineer

Software Engineer – Golang, System Design, Kubernetes, AI Automation

Software Engineer – Golang, System Design, Kubernetes, AI Automation

Senior Software Engineering Advisor

Senior Staff Engineer, R&D – Medication Delivery

Senior Software Development Engineer

Software Development Engineer

Software Engineer III

Senior Software Engineer – PSA Liquidity

AI Software Engineer