Engineering Jobs in Summit Avenue, NJ

Kelly Science and Clinical FSP is currently seeking a R&D Support Specialist for a long-term engagement in the US with one of our clients in Summit, New Jersey. This is a hybrid position with 3 days on site weekly.

This person will join our Kelly FSP (Functional Service Provider) division, a managed solution provider and business unit of Kelly Services, Inc. This role is full-time and is offering full benefit options. As a Kelly FSP employee you may be eligible for Medical, Dental, Vision, 401K and a variety of other benefits to choose from. You may also be eligible for paid time off, including holiday, vacation, and sick/personal time.

Fraudulent Applications: All information provided during the application process will be verified. Misrepresentation of credentials, identity fraud, or use of proxy interviewers will result in immediate disqualification and may be reported to appropriate authorities.

Position Overview:

The R&D Support Specialist role provides comprehensive administrative and operational support for the FEI/Skin Health team, focusing on supplier engagement, financial oversight, and talent acquisition processes. The ideal candidate will play a pivotal role in ensuring smooth procurement, accurate budget and invoice management, and effective coordination of onboarding and recruitment activities.

Key Responsibilities:

Supplier Approval and Onboarding Support:

• Coordinate with new suppliers to ensure timely completion of onboarding documents and compliance forms.
• Serve as a point of contact for suppliers during the approval process, answering queries and resolving issues.
• Maintain detailed records of supplier approvals and contracts – liaise with procurement as needed

Contracting and Purchase Order Management:

• Support the drafting, review, and processing of supplier contracts in collaboration with internal legal and procurement teams.
• Create and manage purchase orders, ensuring proper coding and authorization according to company policies.
• Monitor and follow up on outstanding contracts, PO status, and renewals.

Financial Administration and Tracking:

• Collaborate with team leads to maintain the FEI budget within financial management tools.
• Track quarterly invoicing, budget allocations, and identify discrepancies for prompt resolution.
• Prepare routine financial reports and dashboards for management review.

Talent Acquisition Support:

• Assist HR and hiring managers with job postings, resume screening, and interview scheduling.
• Organize panel interviews, coordinate feedback collection, and support onboarding logistics for new hires.

General Administrative Support:

• Handle ad-hoc tasks as needed, including meeting coordination, document preparation, and other operational requests.

Education Requirements:

• Bachelor’s degree or applicable experience in lieu of degree (Business Administration, Finance, Human Resources, Supply Chain Management, or a related field)
• Advanced degree or relevant certifications (e.g., Certified Administrative Professional, SHRM-CP) a plus.

Experience Requirements:

• 2-4 years of experience in administrative support, procurement, contract management, or financial operations (preferably within a corporate or innovation environment).
• Experience with financial management software and procurement tools required; familiarity with PO processes, system management.
• Prior experience supporting HR/talent acquisition functions is an asset.

Desired Skills and Qualities:

• Excellent organizational and communication skills.
• High attention to detail and accuracy in financial documentation.
• Ability to manage multiple priorities and deadlines in a fast-paced environment.
• Proactive attitude – eager to act with urgency to resolve issues, maintain smooth processes, and provide top-tier support to all internal groups.
• Strong teamwork and problem-solving orientation.
• Proficiency in Microsoft Office Suite (Excel, Outlook, Word); experience with SharePoint and procurement platforms preferred.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: Java Backend Developer

Location: Berkeley heights, NJ

Job Description:

VisionNext/VisionPlus/Cards or Payments Experience is needed

Java, Spring Boot Microservices with Knowledge on AWS

Key Responsibilities

• Design, develop, and optimize backend services for card payments and transaction systems, ensuring low latency, fault tolerance, and multi-region resiliency.

• Build high-throughput APIs and microservices using modern Java frameworks (Spring Boot, Reactor).

• Collaborate closely with product, architecture, and SRE teams to evolve Vision Next / VisionPLUS services for cloud-native, real-time scalability.

• Use AWS services (ECS, Lambda, RDS, ) to architect resilient, secure, and observable applications.

• Write efficient algorithms for transaction routing, settlement, reconciliation, or fraud-detection modules.

• Contribute to system design sessions and architecture decisions, applying deep reasoning to scalability trade-offs, consistency models, and data partitioning.

• Evaluate and optimize application throughput, concurrency handling, and API lifecycle management across multi-region clusters.

• Implement DevOps and CI/CD automation for build, test, and deployment pipelines (GitHub Actions, Jenkins, or CodePipeline).

• Mentor junior engineers, conduct code reviews, and drive engineering excellence through reusable design patterns.

Required Qualifications

• Bachelor’s or master’s degree in computer science or related field.

• 7+ years of backend engineering experience in payments, fintech, or high-transaction enterprise systems.

• Strong proficiency with Java / Spring Boot, data structures, algorithms, and system-level design principles.

• Solid understanding of AWS core services and architectural best practices for scalable distributed systems.

• Experience with multi-region, active-active, or near-real-time architectures for payment or settlement systems.

• Deep debugging, profiling, and performance optimization skills in concurrent, distributed environments.

• Strong analytical reasoning and data-driven problem-solving mindset.

Preferred Qualifications

• Expertise in Python programming for backend development and automation.

• Experience with Vision Next or Vision PLUS modules (CMS, ASM, or TRAMS) or other card processor platforms.

• Familiarity with payment rails (Visa, Mastercard, RTP, ACH) and transaction lifecycle management.

• Knowledge of Kafka, Redis, or Aerospike for event-driven processing and caching.

• Exposure to container orchestration (ECS, EKS, or Kubernetes) and observability platforms (Grafana, Datadog, or OpenTelemetry).

• Understanding of PCI-DSS, data encryption, and regulated financial data operations.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Title : Packaging Engineer

Location : Clark, NJ (Hybrid Role)

Direct Client

Job Description:

JOB PURPOSE

This role will manage transversal PPD development projects including strategic catalog maintenance updates, plant transfers, and new product launches. The position is designed to provide short-term coverage for maternity leave (7 months) with potential opportunity to manage a full product launch from start to finish. The ideal candidate is a seasoned developer with strong leadership skills, strategic agility, and preferably prior client experience.

RESPONSIBILITIES

• Develop and manage project timelines, identifying key tasks and milestones to ensure on-time launches in compliance with client's Quality systems
• Present launch and transversal project reviews; escalate risks to operational and divisional leadership
• Guide Marketing in new innovation briefs to ensure design aligns with Agility, Profitability, and client For the Future (L4TF) initiatives
• Engage Operations and cross-functional stakeholders for project ownership
• Lead project review meetings and resolve roadblocks impacting progress
• Analyze launch viability in terms of cost, timeline, and sustainability
• Drive risk assessment with Operations and R&I partners; track mitigation plans and secure backup options
• Partner with Marketing, Operations, and R&I on harmonization, profitability, and sustainability initiatives
• Manage plant transfers and coordinate feasibility costs, COG analysis, and value analysis support
• Research and develop packaging components; coordinate with R&D
• Provide development support to team members, including guidance on feasibility costing and aesthetic choices
• Coordinate meetings, prepare minutes, and follow up on action items

QUALIFICATIONS

• Bachelor’s degree in Packaging Engineering, Operations, or related technical discipline required
• Minimum 7 years of experience in package/product development and project management (cosmetics, consumer goods, or related field preferred)
• Technical packaging experience a plus
• Experience developing products for global markets preferred
• Strong leadership, organizational, and communication skills
• Ability to inspire and motivate teams to move projects forward
• Collaborative, team-oriented, and able to build strong cross-functional relationships
• Proficient in Microsoft 365
• Must be onsite as this is an essential function of the position

PREFERRED EXPERIENCE

• Prior client experience strongly preferred (contractor or ex-employee, subject to HR approval)
• Experience managing product launches end-to-end
• Familiarity with systems and processes (Wildware, QCP, etc.)

The City of Newark is seeking an experienced and qualified Land Surveyor to serve within the Department of Engineering as the Municipal Land Surveyor.

Under direction, the incumbent is responsible for managing and maintaining the City’s official tax maps, property records, and survey data, while providing technical and administrative support to engineering, planning and zoning, property management, public infrastructure, and legal functions.

Work is primarily performed in an office setting with field assignments as required

My client is looking for a Senior R&D Project Manager to work onsite in their Parsippany NJ office.

This is an exciting role who will be responsible for the successful execution of product development projects. You will plan, coordinate and lead the execution of activities to ensure that the goals and objectives of the project are accomplished within the prescribed timeframe and funding parameters. This is a technical position and the candidate must have an engineering background in order to manage and contribute to the development of new products. The projects that will be managed include a mix of new product development, product line extensions, and sustaining engineering releases.

Essential Functions

• Must have the ability to implement multiple projects simultaneously outside technical area of expertise.
• Ability to balance electrical, mechanical, and software development issues at the system level
• Lead the execution of assigned product development programs in accordance with established processes and procedures.
• Lead and motivate cross-functional team performance toward the goal of completing projects according to the defined objectives.
• Develop detailed project work plans and schedules.
• Manage product requirements and traceability.
• Lead design review and risk management activities.
• Manage technical partners/ vendors supporting product development activities.
• Effectively utilize problem solving skills and techniques to identify potential issues, assess their impact, and develop and implement mitigation and resolution plans and activities.
• Employ excellent interpersonal, communication and negotiation skills with all levels of personnel and management.
• Prepare and/or manage the preparation of all required project documentation.
• Facilitate and coordinate project team meetings and management presentations as required.

Required/Preferred Education and Experience

• BS degree in Engineering required.
• Advanced degree preferred.
• 5+ years managing technical product development.
• Experience with medical device capital equipment development.
• 10+ years of experience as an engineer developing products, preferably in the medical device industry.
• PMP certification desired.

Knowledge, Skills and Abilities

• Knowledge of global standards and regulations for Design Controls, Risk Management, and Electrical Safety for Medical Devices.
• Demonstrated aptitude for successfully managing multiple projects, of varying complexity, within the specified guidelines, timeframes and budgets.
• Demonstrated understanding of electrical, mechanical, and software engineering practices at the system level.
• Experience with Scrum and Agile processes.
• Knowledge of fluid mechanics or past experience with ventilators/aspirators a plus.

The annual salary for this position is $150K-$160K. This position is eligible for an annual bonus in accordance with the company’s bonus plans. Benefits include medical, dental, vision, 401K, etc.

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• Build and maintain data pipelines that collect, store, and transform data to support analytics use cases and business outcomes.
  
• Implement data ingestion and transformation workflows in Microsoft Fabric, using Fabric-native capabilities such as notebooks, pipelines, and lakehouse patterns.
  
• Develop and operationalize data solutions across lakehouse layers (e.g., landing and standardized "Bronze" data through curated "Silver/Gold" outputs) aligned to the platform's workspace architecture and OneLake design.
  
• Ensure data solutions are reliable and supportable by incorporating monitoring, issue resolution, and ongoing enhancements to pipelines and datasets.
  
• Collaborate across teams (engineering, analytics, product, and stakeholders) to translate data needs into scalable, reusable solutions and improved workflow efficiency.
  
• Support secure and appropriate use of Fabric assets by following established access and workspace practices.
  

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• Oversees a team of personnel focused on technical issues, including software development, testing, and engineering tasks
  
• Coordinate with the scrum master and other stakeholders to delegate work assignments
  
• Analyze requirements, conduct story refinement, and develop technical solutions
  
• Provide expert knowledge in front-end technologies such as React and Angular
  
• Construct complex back-end logic in .NET and SQL
  
• Conduct code reviews and guide the team as needed
  
• Strong knowledge of Agile-Scrum principles
  
• Ability to use AI tools such as Claude Code
  

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• Develop high quality, well documented engineering configuration and infrastructure solutions that adhere to all applicable clients security standards
  
• Ensure product and infrastructure security is maintained throughout the system lifecycle, integrating new security features, patches, and updates into existing environments
  
• Collaborate with tech leads in understanding system requirements, defining stories, creation of technical designs, and deployment of solutions
  
• Support engineering and other team members to understand systems end-to-end and deliver robust solutions that support positive business impact
  
• Write scripts and automation code to support areas such as operational excellence, production validation, and security for our Windows servers and identity infrastructure platform
  
• Research problems discovered internally or by stakeholders and consumers, ideate and develop solutions to mitigate without negative impact to the business
  
• Bring an applied understanding of relevant and emerging technologies, begin to identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day
  
• Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors
  
• Use programming languages including but not limited to PowerShell, Terraform, ARM templates, etc.
  

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• Infrastructure: Hyper-V and Windows Server Operating systems
  
• Observability: System Center Operations Manager (SCOM) / Azure Monitoring
  
• Configuration: System Center Configuration Manager (SCCM) / Azure Arc
  
• Identity: Active Directory Domain Services (AD DS) / Microsoft Entra ID
  
• Automation: PowerShell, Infrastructure and Configuration as Code (e.g. Chef, Ansible)
  
• Databases: SQL Server
  

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• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

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• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL