Engineering Structures Jobs in Millburn

About Chiral Photonics

Chiral Photonics is a fast-growing photonics manufacturing company enabling next-generation optical connectivity. We specialize in high-precision fiber-optic components and assemblies that support advanced data center, AI, and communications infrastructure. As we scale production, we are building strong operational foundations rooted in standard work, quality, and continuous improvement.

Role Overview

The Production Floor Manager owns the day-to-day execution of manufacturing operations on the production floor. This role is responsible for meeting daily and weekly production goals, ensuring adherence to SOPs and work instructions, maintaining a clean and organized floor, and supporting production teams through hands-on leadership, equipment troubleshooting, and close collaboration with Production Director, Operations, Engineering and R&D teams.

This is a highly visible role critical to scaling output while maintaining Chiral’s high standards for precision, quality, and safety.

Key Responsibilities

Production Execution & Performance

• Lead daily production floor operations, ensuring work is executed according to plan and priorities.
• Own achievement of daily and weekly output targets (e.g., standard orders, batch completion, on-time delivery).
• Track and manage key production metrics such as:
• Units completed per day/week
• WIP levels by process step
• Throughput and cycle time
• Rework and defect trends
• Participate in and lead daily production huddles and weekly planning reviews.
• Ensure every technician has a work order and all parts are ready in advance of their scheduled shift. 
• Work closely with Operations Planning Coordinator to review forecasted plans and targets. 

Team Management

• Directly manage and support a production team of approximately 10-15 technicians (scaling over time).
• Provide clear daily direction, prioritize work, and rebalance resources as needed to meet goals.
• Coach technicians on standard work, quality expectations, and safe operating practices.
• Support onboarding and training of new production staff in partnership with Operations
• Review timecards for accuracy and completeness 

Standard Work, Quality & Compliance

• Ensure strict adherence to SOPs, work instructions, and quality controls across all production activities.
• Enforce discipline around WIP management, including labeling, tracking, storage locations, and FIFO practices.
• Identify deviations from standard work and drive corrective actions.
• Maintain a clean, organized, and audit-ready production floor (5S mindset).

Equipment & Troubleshooting Support

• Act as first-line support for equipment issues and production interruptions.
• Troubleshoot common equipment and process issues alongside technicians.
• Escalate complex issues appropriately and coordinate with Process Engineering and Operations.
• Help minimize downtime and ensure fast recovery to standard operations.

Process Improvement & Cross-Functional Collaboration

• Partner closely with Process Engineering to identify bottlenecks, yield issues, and improvement opportunities.
• Contribute ideas and data to drive process optimization, efficiency gains, and defect reduction.
• Support pilot changes, new process introductions, and scaling initiatives on the production floor.
• Provide structured feedback from operators to operations to be triaged for action with process / engineering / R&D.

Safety & Housekeeping

• Promote and enforce a safe working environment at all times.
• Ensure compliance with safety procedures, PPE requirements, and cleanliness standards.
• Address safety or housekeeping issues immediately and proactively.

Qualifications

• 10+ years of experience supervising or leading manufacturing operations (precision manufacturing, photonics, optics, electronics, or similar preferred).
• Strong understanding of production workflows, SOP-driven environments, and WIP control.
• Hands-on leadership style with the ability to work directly on the floor.
• Experience supporting equipment troubleshooting and process adherence.
• Strong communication skills and comfort working cross-functionally with engineering and operations.

Preferred Experience

• Experience in fiber-optic, photonics, semiconductor, medical device, or other high-precision manufacturing environments.
• Familiarity with lean manufacturing, 5S, or continuous improvement methodologies.
• Experience scaling production from low-volume to higher-volume operations.

About Chiral Photonics

Chiral Photonics is a fast-growing photonics manufacturing company enabling next-generation optical connectivity. We specialize in high-precision fiber-optic components and assemblies that support advanced data center, AI, and communications infrastructure. As we scale production, we are building strong operational foundations rooted in standard work, quality, and continuous improvement.

Role Overview

The Operations Project Manager sits at the intersection of production planning and project/program management and plays a critical role in translating customer demand, business strategy, and operational capabilities into executable plans.

This role is responsible for:

• Production Forecasting and Capacity Planning (~40%) — Developing and maintaining production forecasts and capacity plans to ensure the organization has the right people, stations, and sequencing in place to meet customer demand.
• Portfolio Project Management (~40%) — Driving execution and alignment across a portfolio of operational, manufacturing, engineering, and business initiatives, ensuring priorities are clearly sequenced, resources are allocated appropriately, and projects progress according to plan.
• Additional Assignments (~20%) — Supporting the Operations and Production Directors with operational initiatives as needed. This may include, but is not limited to, reviewing and updating standard operating procedures (SOPs) across the product lifecycle, supporting process improvement efforts, and assisting with operational coordination.



This is a highly cross-functional role that partners closely with Production, Process Engineering, R&D, Sales, and Leadership. The ideal candidate is structured, analytical, and detail-oriented, and is comfortable bringing clarity, organization, and strong follow-through to complex operational challenges.

Key Responsibilities

1. Production Forecasting & Planning (~40%)

• Own and maintain production forecasts across standard, custom, and R&D orders.
• Translate demand into capacity and resource plans, including labor, stations/equipment, and shift planning.
• Maintain resource models by station, value stream, and operator.
• Partner with Production, Process and Engineering to assign work, identify bottlenecks, and mitigate risks.
• Track forecast vs. actual performance and improve planning accuracy.
• Support planning in a high-mix, high-volume manufacturing environment with both production and R&D workstreams.
• Support scale decisions, including staffing, cross-training, additional stations, and automation opportunities.

2. Project & Portfolio Management (~40%)

• Manage a portfolio of cross-functional initiatives across manufacturing scale, process improvement, engineering enablement, and operational systems.
• Develop and maintain project plans, timelines, and dependencies.
• Drive execution by tracking actions, ensuring follow-through, and escalating risks.
• Help leadership sequence priorities and align resources across operational initiatives.
• Prepare status updates, dashboards, and decision materials.

3. Additional Assignments (~20%)

Support Operations and Production leadership with initiatives that improve execution, standardization, and cross-functional coordination, including:

• Maintaining and improving SOPs and work instructions across the product lifecycle.
• Supporting process improvement initiatives to improve throughput and reduce cycle time.
• Assisting with operational reporting, dashboards, and data analysis.
• Contributing to special projects and operational initiatives as needed.

Required Qualifications

• 7+ years of experience in manufacturing operations planning and program/project management, or manufacturing operations (startup or scale‑up experience strongly preferred)
• Strong analytical skills with hands‑on experience in:
• Forecasting and capacity planning
• Resource modeling and scenario analysis
• Proven ability to manage multiple concurrent projects with competing priorities
• Excellent organizational skills and attention to detail
• Strong written and verbal communication skills
• Comfortable working in a fast‑paced, evolving environment
• Ability to manage stakeholders at various levels.

Preferred Experience

• Experience in manufacturing, hardware, photonics, semiconductors, or advanced technology environments
• Familiarity with:
• High‑volume / high mix production
• R&D and custom order workflows
• Lean, continuous improvement, or operational excellence frameworks
• Advanced proficiency in Excel / Google Sheets; experience with planning or PM tools is a plus
  

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.

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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
  

School Bus & Fleet Mechanic (Class A/B/C) Belair Services – Orange, NJ Salary: Up to $100,000 per year (based on experience) Sign-On Bonus: $1,000 Belair Services is currently hiring experienced School Bus and Fleet Mechanics in Orange, New Jersey .

We are seeking a Class A, B, or C Mechanic with strong experience in light and medium-duty fleet vehicles , diesel and gasoline systems, and preventive maintenance.

This role is ideal for technicians with fleet maintenance, school bus repair, diagnostic troubleshooting, and electrical system experience .

ASE certification is recommended.

MUST HAVE 3 years of experience as a Light or Medium Duty Fleet Mechanic Compensation & Benefits Earn up to $100,000 per year (dependent on experience and expertise) $1,000 sign-on bonus Medical benefits available 401(k) retirement plan participation $500 employee referral bonus Paid vacation Paid sick leave Paid time off (PTO) Growth and advancement opportunities Clean and safe work environment Company-paid certification training and classes Supportive and energetic team atmosphere Job Summary The Fleet Mechanic / School Bus Mechanic is responsible for preventive maintenance, diagnostics, and repairs on light and medium-duty fleet vehicles and school buses .

The technician will troubleshoot mechanical and drivability issues, perform inspections, and assist other technicians when necessary.

This role requires strong mechanical skills, knowledge of diesel and gasoline engines , and familiarity with DOT inspection procedures for school buses (preferred).

Key Responsibilities Vehicle Diagnostics & Repairs Diagnose mechanical malfunctions and perform vehicle repairs on fleet vehicles and school buses.

Inspect, test, adjust, and repair systems including: Steering systems Electrical systems Cooling systems Lubrication systems Brake systems Drivetrains Suspensions Power steering units Clutches Transmissions Engine components Temperature and fuel regulation systems Perform engine adjustments, testing, and rebuilds when required.

Preventive Maintenance Perform preventive maintenance inspections (PMIs) on fleet vehicles.

Ensure vehicles meet federal, state, and local safety regulations .

Assist with DOT inspection procedures for school buses.

Repair Oversight & Documentation Obtain proper approval for major repairs before releasing vehicles.

Record time spent, parts used, and services performed.

Identify additional maintenance needs and escalate repairs when necessary.

Fleet Support Perform road calls and roadside repairs when required.

Assist and guide other technicians on complex repairs.

Maintain a clean, organized, and safe work area .

Team & Work Ethic Work independently with minimal supervision.

Demonstrate strong troubleshooting and decision-making skills.

Continuously develop mechanical knowledge and technical skills.

Minimum Requirements 3 years of experience as a Light or Medium Duty Fleet Mechanic Experience working on fleet trucks, buses, or commercial vehicles Must qualify as a Class A, B, or C Mechanic Strong diagnostic, electrical, and A/C repair skills Technical knowledge of diesel engines and gasoline systems Ability to perform preventive maintenance and complex repairs Must possess basic hand tools required for the job Valid state driver’s license ( CDL preferred ) Ability to perform road service and emergency repairs Ability to work flexible schedules when required Must be 21 years of age or older Preferred Qualifications ASE Certification School bus maintenance experience Familiarity with DOT inspection standards Advanced diagnostics and electrical troubleshooting Experience with internal engine and transmission repairs Work Environment Clean and safe maintenance facility Collaborative team environment Ongoing training and certification support Opportunities for long-term career growth ​

About the Company:

At Lincoln Electric Products Co., Inc., we specialize in the design, manufacture, and distribution of custom equipment tailored to meet the specific applications and requirements of our customers.

Our product range includes:

• Panelboards: Up to 2000A
• Service and Distribution Switchboards: Up to 8000A
• Generator Connection Boxes
• Generator Output Switchboards
• Single and Double-Ended Substations

We pride ourselves on delivering high-quality, custom-designed solutions that address the unique needs of our clients across various industries.

We are in search of a Manufacturing Engineer. The ideal candidate possesses both a high level of technical expertise and an innate passion to build. You will play a critical role in creating and refining processes to improve manufacturing safety, quality, and productivity.

Responsibilities

• Develop and improve manufacturing processes for the assembly of panelboards, switchgear, bus systems, wiring harnesses, and control panels.
• Create and maintain work instructions, assembly procedures, process flows, and manufacturing documentation.
• Support design-for-manufacturability (DFM) and collaborate with Engineering on new product introductions (NPI).
• Analyze production workflows to identify bottlenecks and implement process improvements.
• Develop and maintain BOM accuracy, routings, labor standards, and production fixtures.
• Implement lean manufacturing practices, including 5S, Kaizen events, standardized work, and waste reduction.
• Troubleshoot manufacturing issues, including electrical assembly, wiring, bus bar fabrication, and enclosure modifications.
• Evaluate and specify tools, equipment, jigs, and fixtures required for efficient assembly.
• Support quality assurance activities such as root-cause analysis (RCA), corrective actions (CAPA), and continuous improvement.
• Train production personnel on updated processes, tools, and best practices.
• Collaborate with suppliers to improve material quality and manufacturability.
• Ensure compliance with UL, NEC, OSHA, and company safety standards.

Qualifications

Required

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, or related field.
• 3+ years of experience in manufacturing engineering, preferably in electrical equipment, switchgear, panelboards, or industrial equipment assembly.
• Strong understanding of electrical components: breakers, contactors, relays, transformers, bus bars, metering devices, and control wiring.
• Experience reading and interpreting electrical schematics, one-lines, wiring diagrams, and mechanical drawings.
• Proficiency with CAD tools (AutoCAD, SolidWorks, or similar).
• Hands-on experience with Lean Manufacturing and continuous improvement.
• Strong analytical, troubleshooting, and problem-solving skills.

Preferred

• Experience with UL508A, UL67, UL891, and NEC standards.
• Knowledge of ERP/MRP systems for BOMs and routings.
• Experience in a high-mix, low-volume manufacturing environment.
• Knowledge of CNC fabrication, punch/laser processes, or enclosure manufacturing

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• Architecture & Implementation
  
• Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
  
• Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
  
• Establish Purview reference architecture, integration patterns, and guardrails.
  
• Domain Based Governance
  
• Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
  
• Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
  
• Platform Configuration
  
• Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
  
• Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
  
• Security & Compliance
  
• Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
  
• Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
  
• Engineering & Integration
  
• Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
  
• Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
  
• Adoption & Stakeholder Management
  
• Deliver training, onboarding playbooks, and steward enablement.
  
• Lead workshops for new data domains and products.
  
• Provide executive level reporting on progress, risks, and KPIs.
  

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• 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
  
• Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
  
• Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
  
• Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
  
• Financial services or regulated industry exposure.
  
• Excellent communication, stakeholder leadership, and cross domain facilitation skills.
  

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• Partner with Group Insurance business, product, and technology stakeholders to understand contract automation objectives
  
• Identify, document, and validate field-level data elements required for automated contract generation
  
• Create data mapping specifications including transformation rules, validation criteria, and business logic
  
• Leverage AI-assisted tooling to accelerate data discovery, mapping analysis, and documentation
  
• Facilitate working sessions with business partners to validate data definitions, mappings, and contract logic
  
• Document end-to-end document generation workflows, including system interactions and exception handling
  
• Translate validated requirements into consumable artifacts for engineering and quality teams
  
• Support User Acceptance Testing (UAT) and implementation readiness activities
  
• Communicate risks, dependencies, and decisions across cross-functional teams
  

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• 5+ years of experience as a Business Analyst or Business Systems Analyst
  
• Strong experience with data mapping, data validation, and integration-driven solutions
  
• Proven ability to validate requirements and outcomes with business partners
  
• Strong analytical, facilitation, and communication skills
  

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• Experience supporting contract automation or document generation initiatives
  
• Familiarity with AWS Cloud, APIs, and SharePoint, document management, or content services platforms
  
• Experience leveraging AI tools to support analysis and requirements documentation