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About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Design Engineer (SDE) is a lead member of the core team for each Media & Entertainment (M&E) project. The SDE provides direction and oversight through the project life cycle from sales concept to design development, construction drawings to implementation support. As the technical authority on a project team, the SDE is instrumental in the determination and execution of client and system requirements and will collaborate with M&E SME teams as required. The SDE is also responsible for mentoring other design engineers on the project team. Reporting to a Regional Director of Project Engineering, the SDE's project assignments are determined by Operations Leadership based on enterprise-wide demands. As the final sign off on project bill of materials prior to purchasing, the SDE is responsible for vetting products and making detailed equipment decisions. As the technical leader on a project, the SDE has the authority to recommend direction on scope changes and programming and commissioning activities. The SDE will also be responsible for approving drawing packages being done by other design engineers as well as supervising them in their work. While this is a virtual position day-to-day, it supports Diversified clients in the NYC/ NE US region; as such we require the candidate to reside in that geography. What You'll Do: • Negotiates changes in deliverables and schedules and is an escalation point for engineering issues., • May be required to regularly lead teams on large projects., • Conceptualize system designs and determine system requirements., • Provide technical expertise and coordination information to support the base building tasks performed by others, and planning of audio, video, and control solutions., • Oversee and/or develop the Bill of Materials (BOM) and supporting documentation., • Develop detailed design documentation strategy based on established engineering standard practices. Track engineering team tasks to completion., • Generate functional system descriptions, complete block wiring diagrams, rack elevations, custom plates, or cabling assemblies., • Research, identify, and recommend technology options for clients and projects., • Test, commission, and configure subsystems during project deployment., • Support projects and teams in build phase. Complete the as-built drawings for service hand-over., • 7+ years of experience, • Demonstrated knowledge of broadcast technology, equipment, facilities, and production systems used in the Media and Entertainment / Broadcast industry. Formats include high-definition, UHD and HDR video systems deployed using analog, SDI and SMPTE 2110 IP transport protocols., • Understanding of TCP/IP routing, ACL's, QoS, VLAN's and Wireless Access Points., • Proven track record of successfully completing engineering projects., • A thorough, demonstrable understanding of the construction process, installation, and integration as well as architectural and construction drawings and specifications., • Detailed oriented, independent, self-starter, • Exceptional time management skills with a track record for meeting deadlines, • Excellent communication skills, • Ability to analyze complex issues and communicate concise succinct messages What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Design Engineer (SDE) is a lead member of the core team for each Workplace (WKP) project. The SDE provides direction and oversight through the project life cycle from sales concept to design development, construction drawings to implementation support. As the technical authority on a project team, the SDE is instrumental in the determination and execution of client and system requirements and will collaborate with SME teams as required. The SDE is also responsible for mentoring other design engineers on the project team. Reporting to a Regional Director of Technical Operation the SDE's project assignments are determined by Technical Operations Leadership based on enterprise-wide demands. NOTE - while this is a virtual position day to day, it does involve periodic (up to 25%) onsite presence at customer sites concentrated in the New England region - primarily Boston, Hartford and Stanford. As such, residing in (or a willingness to relocate to) this region is a requirement for this job. What You'll Do: • Leads complex engagements and works directly with clients and project teams to develop budgets, timelines and manage expectations., • Negotiates changes in deliverables and schedules and is an escalation point for engineering issues., • May be required to regularly lead teams on large projects., • Conceptualize system designs and determine system requirements., • Provide technical expertise and coordination information to support the base building tasks performed by others, and planning of audio, video, and control solutions., • Oversee and/or develop the Bill of Materials (BOM) and supporting documentation., • Develop detailed design documentation strategy based on established engineering standard practices. Track engineering team tasks to completion., • Generate functional system descriptions, complete block wiring diagrams, rack elevations, custom plates, or cabling assemblies., • Research, identify, and recommend technology options for clients and projects., • Provide technical expertise and oversee the creation of and later reconciliation of the complete construction drawing package, support documentation for installation and coordination with architect and other trades., • Collaborate with engineering, operations, and product teams to identify requirements for cloud-based solutions that meet the needs of our live broadcast production and post-production workflows., • Design and architect cloud-based solutions for live broadcast production workflows, channel playout, and content delivery, • Work with cross-functional teams to ensure that solutions are optimized for cost, performance, and reliability., • Provide technical guidance and mentorship to other team members., • Experience building complex networking infrastructure on premises., • Test, commission, and configure subsystems during project deployment., • Support projects and teams in build phase. Complete the as-built drawings for service hand-over., • Provide regular project engineering milestone status updates to Technical Operations resource planning., • Maintain expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars, and educational forums., • Develop expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars, and educational forums. Complexity: The Senior Design Engineer works with the Regional Directors on resource assignment. This role is primarily billable in a post-sales capacity, though there are times when the SDE will work on presales estimation and design efforts. Decision Making Authority: As the final sign off on project bill of materials prior to purchasing, the SDE is responsible for vetting products and making detailed equipment decisions. As the technical leader on a project, the SDE has the authority to recommend direction on scope changes and programming and commissioning activities. The SDE will also be responsible for approving drawing packages being done by other design engineers as well as supervising them in their work. Physical Working Environment: The physical demands described here are representative of those that may be met by an employee. Work will normally be performed within normal office conditions and/or home office depending on location of SDE. On occasions the employee may be exposed to construction site conditions. Employee will be responsible for their safety while on job sites and to comply with all safety regulations in place by the GC. Use of PPE is usually required on job sites. The employee can typically spend at least 50% of their time on their feet and be required to mobile around the construction site. The individual is regularly required to use keyboards, test equipment and controls required for SI installation projects. Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. Travel: Occasional travel by car and occasional airplane trips are required. Employee must possess a valid driver's license in their state of residence. Employee will be required to use their own vehicle and will be reimbursed for mileage at the current corporate rate. Local travel to job sites (within a 2 hour driving distance each way) will make up 90% usually but remote travel can be up to 30% of the job at times. <10% remote travel is required on a regular basis. What You'll Bring: Education & Certifications: • High school diploma or GED required, • Proficient in AutoCAD and MS Office 365, • Certifications or training with at least one DSP platform (Biamp, QSC, Clearone, etc), • Certifications or training with at least one control system (Crestron, Extron, AMX, etc), • Other relevant certifications may be required or preferred based on the technology focus of the position. Required Skills/Qualifications: • AVIXA CTS certification is required, • 8+ years' experience in technical systems designing, • Familiarity with audio DSPs, networked audio systems, and transport protocols including 2110-30, AES-67, Ravenna, and Dante, • Understanding of TCP/IP, ACL's, QoS, VLAN's, and Wireless Access Points., • Proven track record of successfully completing engineering projects., • A clear understanding of construction project phases Program, Conceptualization, Schematic Design, Design Development, Construction Documentation, Construction and Commissioning., • Must reside in - or be willing to relocate to - the San Francisco Bay area of California. Preferred Skills/Qualifications: • AVIXA CTS-D is highly desired, • Detailed oriented, independent, self-starter, • Exceptional time management skills with a track record for meeting deadlines, • Excellent communication skills, • Ability to analyze complex issues and communicate concise succinct messages Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note for NJ candidates: This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives. Responsibilities • Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability., • Establish and enforce coding standards, design patterns, and architectural guidelines across software projects., • Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation., • Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation., • Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices., • Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs., • Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security., • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline., • 7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services., • Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions., • Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes)., • Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies., • Strong code review, testing, problem-solving, and leadership skills., • Experience integrating AI features via REST APIs or SDKs into business applications., • Business Process Management (BPM) implementation experience, especially with Pega, is a plus., • Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch., • Hands-on with additional BPM tools (Camunda, Appian)., • Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ)., • Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $119,000.00 - USD $163,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". We are seeking a highly skilled and experienced Senior Software Engineer with expertise in Azure Cloud and .NET technologies. The ideal candidate will have a strong background in software development, cloud computing, and leadership. This role involves designing, developing, and maintaining cloud-based applications, as well as leading a team of engineers to deliver high-quality software solutions. Responsibilities • Lead the design and development of cloud-based applications using .NET technologies., • Collaborate with cross-functional teams to define, design, and ship new features., • Ensure the performance, quality, and responsiveness of applications., • Mentor and guide junior engineers, providing technical leadership and support., • Troubleshoot and resolve complex technical issues., • Bachelor's degree in Computer Science, Engineering, or a related field is preferred., • 5+ years of experience designing and developing complex applications, • Experience in C#, .NET, API development, and SQL, • Experience with cloud-first architectures and related Azure services, e.g. Container Apps, API Management / App Gateway, Key Vault, App Services, Logic Apps, SQL MI, • Familiarity with modern cloud-native patterns principles, e.g. Twelve-Factor Apps, Service Oriented Architectures / microservices / REST, DevOps, Continuous Deployment, and Site Reliability Engineering, • Understanding of Infrastructure-as-Code patterns and related technologies e.g. Bicep, ARM, Terraform, • Excellent problem-solving skills and attention to detail., • Experience acting as a technical leader and mentor to other software engineers or developers., • Experience working on agile teams and release trains, and knowledge of SAFe, is preferred, • Strong communication and leadership skills., • Experience with Angular is a plus Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $123,000.00 - USD $157,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro is seeking a highly skilled Service Engineer to support our Global Service network and contribute to building a world-class field engineering organization. This role requires flexibility to work in a data center and call center environment, providing technical support via phone and web to customers experiencing hardware and software issues. This position will be based in our office located in Jersey City, NJ. Includes the following essential duties and responsibilities (other duties may also be assigned): Why This Role Matters This position plays a critical role in ensuring customer satisfaction by providing timely and effective technical support. As a key part of our Global Service network, you will troubleshoot issues, deploy hardware solutions, and contribute to a seamless customer experience. Your expertise will directly impact the efficiency and reliability of Supermicro's service operations. What You'll Do • Provide frontline technical support to end-users via phone, email, and ticketing system., • Diagnose and troubleshoot hardware, software, and network-related issues., • Escalate complex problems to higher-level support teams when necessary., • Perform physical installation, rack and stack, cabling, and networking of data center hardware., • Assist in the deployment of server, storage, and networking equipment., • Monitor and maintain data center infrastructure to ensure optimal performance and uptime., • Perform regular maintenance and upgrades on data center hardware and software., • Collaborate with data center staff to address and resolve technical issues., • Conduct quality checks and test system functionality post-installation., • Work with internal teams to gather client requirements and provide technical expertise during the post-sales process., • Coordinate with the engineering team to ensure seamless integration of hardware solutions., • Ensure compliance with data center policies and procedures., • Document and report data center activities and incidents., • Travel up to 50% of the time to customer sites and data centers., • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering; or an Associate's degree in Electrical/Electronics Engineering with equivalent relevant experience., • 1+ year of experience in servicing complex X86 systems and parts., • 1+ years of experience in a customer support role., • Strong hardware system diagnostics skills and understanding of BIOS, drivers, and application-related issues., • Ability to troubleshoot, problem-solve, and make decisions in a fast-paced environment., • Experience with statistical Excel functions or database management., • Ability to manage multiple cross-functional projects concurrently in a rapidly changing environment., • Hands-on experience with enterprise-grade server hardware., • Strong verbal and written communication skills with an emphasis on technical communication., • Punctual, detail-oriented, and proactive in driving solutions., • Experience working in large enterprise environments or certifications in Windows and Linux., • Must have a valid driver's license and a reliable automobile., • Ability to lift/carry at least 50 lbs, • Capable of standing for extended periods to troubleshoot and repair equipment in a noisy environment (approximately 20% of the time) Please note that this position requires regular in-office attendance. The successful candidate is expected to be present in the office during standard working hours as determined by the company. In-office collaboration and participation in team meetings, training sessions, and other on-site activities are essential aspects of this role. Candidates should consider the commuting distance and be prepared to fulfill their responsibilities in the designated office location. $70,304 - $90,000 The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Commissioning Engineer (CX) is a key member of the post-sales Engineering group within the Electronic Security Systems (ESS) team, serving as lead engineer on commercial & federal design projects. The CX supports programming and commissioning project lifecycles, from initial sales concepts after design development, construction documentation, and construction administration. Acting as a technical resource, the CX engineer ensures client and system requirements are met and collaborates with cross-functional teams to deliver effective solutions. The role is supported by Solutions Architects and Team Supervisor, with guidance provided by the Director of ESS Engineering. The CX will hold both primary and supporting responsibilities on complex ESS projects and reports directly to the Director of ESS Engineering. What You'll Do: • Conduct pre-deployment testing and validation of electronic security systems to ensure readiness for field deployment., • Perform quality reviews of security drawings and documentation to support accurate and efficient installation., • Complete site surveys and captured field conditions using Bluebeam to inform design and installation activities., • Configure security hardware, including assigning camera IP addresses, updating access control board firmware, uploading Cisco switch configurations, and programming door devices within access control software., • Diagnose and resolved issues with cameras, access-controlled doors, and network switches to maintain system performance., • Configure security intrusion systems, DMP and Bosch environments., • Develop and/or maintain ACS, VSS, IDS programming matrix documents that are used for field and system functionality., • Apply drawing markups in Bluebeam and maintained detailed programming sheets for device configuration and tracking., • Lead system commissioning efforts in collaboration with customer testing representatives to verify full system functionality., • Manage concurrent project tasks while maintaining timelines, documentation accuracy, and technical quality., • Communicate complex technical information clearly to stakeholders through both written and verbal channels, • Occasional travel to client sites is required to resolve project escalations and provide customer consultation. 25-50% Travel. What You'll Bring: Education & Certifications: • High School Diploma/ GED, • Associates Degree or equivalent experience preferred Required Skills/Qualifications: • 5-7 years' experience as a Commissioning Engineer in an Electronic Security environment, • Proven experience leading engineering efforts within ESS domains such as access control, video surveillance, and intrusion detection systems., • Strong understanding of system integration, project engineering processes, programming and commissioning processes, and field-to-office feedback loops., • Skilled in process improvement methodologies, technical governance, and cross-functional coordination., • Effective communicator with the ability to engage internal teams, vendors, and executive stakeholders., • Analytical mindset with ability to interpret performance data, identify trends, and drive strategic improvements., • Demonstrated ability to coach, mentor, and lead engineering teams in a dynamic and evolving environment., • Experience managing vendor relationships and coordinating enterprise-level technology training., • Strong organizational and time management skills with a focus on operational efficiency and documentation quality., • Must be able to function in loud and professional environments., • Must be able to function in construction environments. Desired Skills/Qualifications: • Strong Security Systems, Information Technology, or related field preferred., • 5-7+ years of experience in ESS systems design, integration, or engineering required., • Familiarity with platforms such as Lenel, CCure, DMP, Honeywell, Brivo, Milestone, ExacqVision, Eagle Eye, Axis, and Hanwha., • Industry certifications in access control or video surveillance (e.g., Lenel, Milestone, CCure 9000, DMP etc.) are a plus., • Experience with enterprise-level networking and IP-based ESS system architecture., • Experience with Bluebeam Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Design Engineer (DE) is a member of the core team for commercial projects. Alone on small projects or part of a team of engineers on large project the DE provides technical direction and insight through the project life cycle from sales concept to design development, construction drawings to implementation support. As a technical authority on a project team, the DE is instrumental in the determination and execution of client and system requirements and will collaborate with Commercial SME teams as required. Reporting to the Regional Director of the DE's project assignments are determined by that director based on enterprise-wide demands. At times, the DE will be supervised and receive specific task assignments by Senior Design Engineers or Project Managers. Location: The DC/VA area What You'll Do: • Participate in complex engagements and works directly with clients and project teams to develop budgets, timelines and manage expectations., • Negotiates changes in deliverables and schedules and is an escalation point for engineering issues., • Conceptualize system designs and determine system requirements., • Provide technical expertise and coordination information to support the base building tasks performed by others, and planning of audio, video, and control solutions., • Oversee and/or develop the Bill of Materials (BOM) and supporting documentation., • Employ detailed design documentation strategy based on established engineering standard practices. Track engineering team tasks to completion., • Generate functional system descriptions, complete block wiring diagrams, rack elevations, custom plates, or cabling assemblies., • Research, identify, and recommend technology options for clients and projects., • Provide technical expertise for the creation of and later reconciliation of the complete construction drawing package, support documentation for installation and coordination with architect and other trades., • Test, commission, and configure subsystems during project deployment., • Support projects and teams in build phase. Complete the as-built drawings for service hand-over., • Provide regular project engineering milestone status updates to Technical Operations resource planning. The Design Engineer works with the Regional Engineering Manager, the Technical Operations Directors on resource assignment. This role is primarily billable in a post-sales capacity, though there are times when the DE will work on presales estimation and design efforts. Decision Making Authority: As the final sign off on project bill of materials prior to purchasing, the DE is responsible for vetting products and making detailed equipment decisions. As a technical leader on a project, the DE has the authority to recommend direction on scope changes and programming and commissioning activities. Physical Working Environment: Physical Demands: The physical demands described here are representative of those that may be met by an employee. Work will normally be performed within normal office conditions and/or home office depending on location of DE. On occasions the employee may be exposed to construction site conditions. Employee will be responsible for their safety while on job sites and to comply with all safety regulations in place by the GC. Use of PPE is usually required on job sites. The employee can typically spend at least 50% of their time on their feet and be required to mobile around the construction site. The individual is regularly required to use keyboards, test equipment and controls required for SI installation projects. Specific vision abilities required for this job include close vision, distance vision, peripheral vision, and depth vision. Travel: Occasional travel by car and occasional airplane trips are required. Employee must possess a valid driver's license in their state of residence. Employee will be required to use their own vehicle and will be reimbursed for mileage at the current corporate rate. Local travel to job sites (within a 2 hour driving distance each way) will make up 90% usually but remote travel can be up to 30% of the job at times. <10% remote travel is required on a regular basis. What You'll Bring: Education & Certifications: • Associate/Bachelor degree required and/or equivalent experience., • Proficiency in AutoCAD and MS Office 365, • AVIXA CTS certification is required, • Certifications or training with at least one DSP platform (Biamp, QSC, Clearone, etc.), • Certifications or training with at least one control system (Crestron, Extron, AMX, etc.) Required Skills/Qualifications: • 3+ years' experience in audiovisual technical systems design., • Understanding of TCP/IP routing, ACL's, QoS, VLAN's and Wireless Access Points., • Proven track record of successfully completing engineering projects., • A thorough, demonstrable understanding of the construction process, installation, and integration as well as architectural and construction drawings and specifications., • A clear understanding of project phases, to include Presales, Program, Conceptualization, Schematic Design, Design Development, Construction Documentation, Construction, and Commissioning., • The ability to visit client sites on a regular basis in the DC area., • Experience with Government contracts and Federal design as it relates to AV systems., • Experience with high-end AV equipment integration with broadcast systems., • Experience with media/event/production workflow., • Hybrid experience with event spaces., • Electro-acoustic modeling experience (e.g. EASE) and ability to use SMAART highly desirable, • Exceptional time management skills with a track record for meeting deadlines., • Excellent communication skills., • Ability to analyze complex issues and communicate concise succinct messages., • High level of problems solving and technical troubleshooting skills. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Title: AI Analytics Engineer Department: Analytics and Data Governance (ADG) Reports To: Director of Data Analytic Position Type: Staff Position Summary: The AI Analytics Engineer is responsible for the full lifecycle of data delivery, ranging from rapid-response (Level 1) data requests to deep data cleansing. In this role, you will convert raw institutional data into high-value "AI-ready" assets by engineering the semantic layers required for conversational interfaces and autonomous agents, ensuring these systems-whether purchased or built in-house-are accurately powered and correctly deployed. This role serves as a key technical advisor, making recommendations on whether to buy third-party tools or build custom solutions based on the specific requirements of the data and the desired AI interaction. As a central technical resource within a tiered data team, you will operationalize the data requirements designed by the Senior Data Scientist/AI Engineer while ensuring strict adherence to the institutional security frameworks and governance standards established by the Data Governance Lead. Essential Functions: -Works as a central technical resource within the Analytics and Data Governance team to ensure data integrity and model readiness. This includes: -Primary technical partner for the Senior Data Scientist and AI Engineer: Build and automate the data features and training sets required for predictive models, analytical tools, and AI models. Manage the technical relationship with AI vendors under the direction of the Director, ensuring appropriate deployment and integration of purchased tools. Actively evaluate and recommend "buy vs. build" strategies to ADG, identifying where purchased tools meet institutional needs and where unique data complexities require supplemental in-house engineering. -Operationalize governance standards established by the Data Governance Lead by applying approved data definitions, classification rules, access controls, and security requirements within transformation logic, semantic layers, and downstream data products. Maintain technical lineage and metadata needed to support compliant, governed, and reusable institutional data assets. -Serve as the primary technical liaison between the Office of Institutional Effectiveness, Business Intelligence, Integrations, and Digital Learning teams to ensure official reporting data and AI model outputs are seamlessly integrated into dashboards and applications, while documenting the transformation logic and technical dependencies required to maintain data integrity across all internal analytics use cases. -Manage the standardized intake process for Level 1 data requests by extracting, assembling, and delivering datasets from the data warehouse (Snowflake) in requested formats. -Develop practical tools, examples, and "how-to" documentation that help campus users access and use governed data correctly, supporting the transition from basic data requests to responsible self-service analytics and AI-assisted workflows. -Design and maintain governed semantic layers that provide a consistent, well-documented source of business meaning for both human-led BI and autonomous AI agent consumption. -Build and configure data interfaces (e.g., API endpoints or Model Context Protocols) that allow AI systems to reliably query institutional data. Manage the technical deployment and configuration of AI interaction layers to ensure appropriate integration with these interfaces. -Support lightweight Machine Learning Operations (MLOps) tasks including routine deployments, versioning, and API integration into application pipelines, ensuring complex architecture or infrastructure issues are escalated to the Senior Data Scientist/AI Engineer. -Perform extraction, transformation, cleansing, and documentation of datasets to ensure usability and clear lineage for downstream teams and AI use cases, coordinating with domain stewards to ensure all governed data meets institutional requirements. -Maintain all transformation logic and modeling code using version control (e.g., Git, Snowflake), ensuring a clearly documented and reproducible technical data catalog. -Implement automated testing, validation, and data quality checks to verify that data is accurate, consistent, secure, and reproducible across reports, semantic layers, and AI/ML data assets. Additional Functions: -Support data and AI literacy efforts by creating role-appropriate guidance, examples, and usage guardrails that help campus users interpret, access, and use governed data responsibly. -Keeps abreast of emerging technology trends in the modern data stack and the AI vendor landscape and takes an active interest in professional development to ensure skills stay current. -Identify recurring data definition conflicts, usage inconsistencies, and business-process issues encountered in technical implementation, and escalate them to the Data Governance Lead and domain stewards for resolution. Prerequisite Qualifications: -A Master's degree in Computer Science, Data Science, Software Engineering, Artificial Intelligence, or a related field. -Advanced proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake). -Programming ability in Python or R for data manipulation and pipeline automation. -Experience with data manipulation libraries (e.g., NumPy, Pandas) and version control (e.g., Git, Snowflake). -Proficiency with data visualization tools (e.g., Strategy, Tableau). -Demonstrated ability to evaluate technical trade-offs and provide recommendations on software/tool selection. -Professional experience applying machine learning and statistical methods to real-world data, including the cleaning and preprocessing of large, complex datasets. -Demonstrated experience working with business domain stakeholders to interpret metrics and translate technical concepts into actionable business logic. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: -At least three years of professional experience in data analytics, data engineering, or software engineering. -Working knowledge of data quality concepts, lineage, metadata management, and institutional governance processes. -Experience working with higher education ERP systems (e.g., Workday, Banner). -Experience in a higher education or research-intensive university setting. -Awareness of FERPA, GLBA, and responsible AI practices. -Familiarity with AI orchestration frameworks (e.g., LangChain). -Familiarity with project management frameworks in a technical environment. Bargaining Unit: PSA Range/Band: 26 Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $73,502.29-$137,773.44 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page: . FLSA: Exempt Full-Time Apply NowShare Save Job

• Perform delivery of projects and enhancements in support of the university's various enterprise systems and providing guidance to application developers including business analysis, high level design, detailed design, development, testing, implementation, and on-going maintenance of enterprise systems operations., • Assist with implementing reporting and analysis solutions., • Guide application developers on complex business systems analysis, software development, and information systems implementations and integrations to ensure successful delivery of planned projects., • Operate under firm deadlines managing multiple assignments concurrently and independently with minimal supervision., • Work closely with other teams within the Information Services & Technology division in solving ad-hoc information management issues using the most current information technologies available., • Assess the complexity of the solution, plan and manage the application delivery, guiding the work of other technical team members and managing task dependencies as applicable., • Lead the assessment, installation, configuration, integration, deployment, and ongoing support of the ERP and third party vendor applications, including cloud platforms., • Provide technical leadership and mentorship to application developers as well as perform hands-on technical tasks, collaborate and guide the team to identify, analyze and fix technical issues and challenges.___, • Respond to incidents, service outages and service requests in a timely manner as delegated by the Assistant CIO, CRM and Student Information Systems and the Associate CIO, Enterprise Applications, and collaborate with other technical team members, functional partners and vendors for problem resolutions., • Ensure application systems integrity by performing periodic software audits and maintain appropriate change control, test plans and code review documentation for audit purposes., • Collaborate with the Manager, Architecture and Integration to ensure new software integrations meet functional requirements, system compliance, and interface specifications., • Oversee the daily activities of project teams and liaison with team members, management, and campus partners to ensure the successful and timely delivery of project commitments., • Identify and mitigate risks and form appropriate contingency plans., • Research and propose systems enhancements, vendor solutions, process improvements and automations to address functionality gaps and meet new functionality demands and business needs and prepare documentation of rationale to share with team members and campus partners., • Participate in peer-reviews of solution designs and related code. Package and support deployment of releases. Work with team members in IST for migration of legacy applications., • Ensure quality of deliverables by establishing and following best practices and standards., • Perform other duties as assigned and as needed, including readiness to support after hours and weekends. Requires a Bachelor's degree in Electrical Engineering and 3 years of experience in job offered or 3 years of experience as a Software Engineer or any other job title performing the following job duties:, • Configuring and testing implementation of student information systems and/or patient vitals device capture equipment;, • Supporting the IT and enterprise information system needs of department heads;, • Developing workflows according to business requirements;, • Performing final user acceptance testing;, • Reviewing data quality issues;, • Analyzing and testing system solutions;, • Providing user support and troubleshooting with colleagues;, • Advising staff of system upgrades, releases and patches; and

Position Summary What You’ll DoAs a Deloitte Tax, AI Engineer Manager, you will oversee the design, development, deployment, and support of custom AI applications and modules to address key business needs. You will lead a team of engineers, drive project execution, manage stakeholder commu

Job Description Be Part Of A High-Performing Technology Team Join a forward-thinking Commercial Banking technology organization dedicated to building modern, scalable integration platforms that power mission-critical financial systems. This team operates at the center of enterprise application connectivity—designing and delivering high-performance middleware and API solutions that enable seamless communication across global systems and stakeholders. The environment is collaborative, Agile-driven, and innovation-focused, with engineers working closely alongside Product Owners, QA teams, architects, and international business partners. The team values clean architecture, engineering best practices, and thoughtful modernization, while maintaining the stability and rigor required in a regulated financial environment. This role offers the opportunity to contribute to enterprise-scale API platforms supporting global banking operations, including cross-border collaboration with Japanese and English-speaking stakeholders. What’s In Store For You • Opportunity to work on large-scale, customer-facing API platforms within Commercial Banking, • Exposure to modern cloud environments and DevOps practices, • Collaborative Agile team culture with strong engineering standards, • Long-term, high-impact initiatives focused on scalability and modernization, • Design, develop, and maintain scalable middleware and RESTful API applications using Java and Kotlin, • Partner with global stakeholders (Japanese and English-speaking) to translate business requirements into technical solutions, • Contribute to application architecture and apply design patterns to ensure scalability and performance, • Write high-quality, maintainable code with unit testing and automation, • Participate in code reviews and promote engineering best practices, • Support CI/CD pipelines and deployment processes in cloud environments (AWS, Azure, or GCP), • Collaborate within Agile sprint cycles to prioritize and deliver features, • 8–10+ years of application development experience, with strong expertise in Java (Kotlin experience is a plus), • Demonstrated experience designing and supporting customer-facing RESTful APIs, • Strong understanding of JSON, web services technologies, and data structures, • Experience applying design patterns in scalable, enterprise-grade applications, • Hands-on experience with Git, Jira, CI/CD tools, and DevOps practices, • At least 1 year of experience working with public cloud platforms (AWS, Azure, or Google Cloud), • Proven ability to deploy applications to production and support the full application lifecycle, • Experience working in Agile development environments, • Professional-level bilingual fluency in Japanese and English (written and verbal), with ability to collaborate across global teams, • Bachelor’s degree in Computer Science or equivalent experience, • Financial services or banking industry experience preferred

Job Description Machine Learning Engineer / AI Engineer Newark, NJ Salary: $120,000 – $180,000 Description / Position Overview This role owns the design, deployment, and long-term performance of production machine learning systems that power data-driven products and operational intelligence. The Machine Learning Engineer is responsible for translating business problems into scalable AI solutions. This includes building end-to-end pipelines, deploying models into production environments, and continuously improving model performance. This is an engineering execution role, not a research-only position. Success requires the ability to move models from experimentation to reliable production systems that drive measurable product and operational impact. Requirements • Experience building and deploying machine learning models in real-world production environments, • Strong Python programming capability and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Understanding of statistics, probability, and optimization techniques used in machine learning systems, • Experience working with large-scale structured and unstructured datasets, • Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure, • Ability to build and manage scalable data pipelines supporting ML workflows, • Strong collaboration skills working with product, engineering, and data teams Responsibilities Machine Learning Development • Design, train, and optimize machine learning models for real-world business applications, • Build end-to-end ML pipelines including data ingestion, preprocessing, training, and evaluation, • Select appropriate algorithms and modeling approaches based on problem context, • Continuously improve model performance through experimentation and iteration Production Deployment & Infrastructure • Deploy machine learning models into scalable production environments, • Build APIs and services that operationalize machine learning capabilities inside products and systems, • Manage the full model lifecycle including monitoring, retraining, and drift detection, • Ensure reliability, scalability, and maintainability of ML infrastructure Data & Engineering Execution • Work with structured and unstructured data sources to support model development, • Implement feature engineering strategies that improve model accuracy and reliability, • Collaborate with data engineering teams to maintain clean and scalable data infrastructure, • Optimize model performance and resource efficiency in production systems Cross-Functional Collaboration • Partner with product and engineering teams to translate business needs into machine learning solutions, • Communicate technical insights and model behavior to non-technical stakeholders, • Contribute to AI roadmap planning and prioritization of ML initiatives Must-Haves • Proven experience deploying machine learning models into production environments, • Strong Python and ML framework expertise (TensorFlow, PyTorch, or Scikit-learn), • Experience building scalable ML pipelines and APIs, • Experience working with cloud infrastructure (AWS, GCP, or Azure), • Strong understanding of statistical modeling and machine learning fundamentals Final Invitation to Apply If you are a hands-on machine learning engineer who thrives on building real-world AI systems and taking models from concept to production impact, this is an opportunity to own meaningful technology that drives product innovation and operational performance. Contact Email Resume: Apply Online: Refer a friend, get up to $1000!

Job DescriptionAs an Identity Engineer, you will be responsible for supporting our clients by configuring, managing, and optimizing the SPHEREboard platform. You will play an integral role in understanding client needs, troubleshooting complex issues, and driving best practices in identity hygiene. You will also collaborate closely with cross-functional teams to ensure client environments are secure and functioning efficiently. This role requires a solid understanding of IAM principles, hands-on experience with security platforms, and the ability to manage multiple client projects. You will also contribute to ongoing product development by providing feedback and insights based on client interactions. Key Responsibilities: • Analyze, assess, and mitigate IAM security risks through detailed review of accounts, permissions, entitlements, and metadata., • Architect, install, implement, and optimize SPHEREboard across diverse client environments. Maintain high standards of accuracy and consistency in product deployment and operations., • Work closely with clients to gather requirements, configure the platform to meet specific needs, and provide training on effective use of SPHEREboard., • Develop and maintain technical design guides, policy documentation, and process runbooks to ensure accuracy and consistency., • Collaborate with cross-functional teams to develop, communicate, and implement risk remediation strategies. Escalate issues with urgency when necessary and ensure compliance with change control processes., • Use advanced data analytics to monitor and report IAM cybersecurity risks. Effectively communicate findings and remediation plans to clients and internal teams at all levels of the organization., • Complete projects on time, ensuring alignment with client engagements and Statements of Work (SOW)., • 3+ years of cybersecurity experience with a focus on IAM, AD, SQL and data analytics., • Strong experience deploying and managing security solutions across multiple client environments., • Hands on experience with IAM platforms and familiarity with industry-standard tools such as Varonis, StealthBits, Symantec, CyberArk, Centrify, BeyondTrust, SailPoint, OIM and others., • Proficiency in data analysis and reporting, with advanced skills in MS Excel and MS SQL., • In-depth understanding of infrastructure platforms like Active Directory, CIFS File Systems, Exchange, SharePoint, OneDrive, Teams, and SQL., • Strong critical thinking, problem solving, and analytical skills, with an ability to prioritize and manage multiple efforts simultaneously., • Excellent written and verbal communications skills, capable of translating technical information into actionable insights for various stakeholders., • Willingness to work outside of standard business hours (evenings/weekends) when client requirements or project deadlines demand it. SPHERE is an equal-opportunity employer. Applicants will be evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Powered by JazzHR V03szCjxWl

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. The Role: We’re growing quickly and looking for a Backend Engineer who’s passionate about building scalable systems and enjoys bridging the gap between backend development and DevOps infrastructure. If you love working across services, solving complex problems, and shipping code that directly impacts real-world operations, we want to meet you. What you’ll be doing: * Design, build, and maintain backend services and APIs using Node.js and TypeScript * Collaborate with frontend engineers (React) to build clean, reliable integrations across the stack * Manage and optimize PostgreSQL databases for performance, scalability, and reliability * Develop infrastructure and deployment automation on AWS and GCP * Contribute to CI/CD pipelines and DevOps tooling for faster, safer releases * Monitor and improve system performance, uptime, and observability * Work cross-functionally with product, design, and operations to turn requirements into production-ready features * Help evolve our architecture as we scale to handle increasing traffic and data The qualifications you need: * 3+ years of experience as a backend or full-stack engineer * Strong proficiency with Node.js and TypeScript * Experience building and maintaining RESTful or GraphQL APIs * Hands-on experience with PostgreSQL or other relational databases * Solid understanding of AWS and/or GCP infrastructure * Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code tools (Terraform or similar) * Comfort working in a collaborative startup environment, taking ownership and moving quickly * Strong communication skills and a mindset of continuous improvement. Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Flexible/Unlimited PTO * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * Yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company.

Job Description Job Description: GCP Platform Engineer Location: Jersey City, Tampa, or Palo Alto (5 days onsite) Position Overview We are seeking a GCP Platform Engineer to support and evolve a large-scale Google Cloud Platform environment. This is a hands-on platform engineering role focused on building, operating, and maintaining shared cloud infrastructure that application and service teams depend on. The ideal candidate is a platform-minded engineer who takes ownership of cloud foundations—networking, identity, infrastructure as code, and deployment pipelines—ensuring reliability, security, and operational excellence across multiple environments. Key Responsibilities • Own and operate the GCP platform foundation, including infrastructure provisioning, CI/CD enablement, and operational support., • Manage and support CI/CD pipelines across multiple environments., • Use Terraform as the source of truth to provision, manage, and evolve GCP infrastructure., • Design, maintain, and execute operational runbooks., • Operate and support core GCP services across compute, networking, storage, and identity., • Support event-driven and messaging architectures., • Act as an escalation point for platform-level issues., • Partner with security and compliance stakeholders., • Enable application teams with stable, scalable platform capabilities. Required Qualifications • Strong hands-on experience with Terraform., • Deep understanding of GCP (Org, Folders, Projects, IAM, Networking, Compute, Storage)., • Experience with CI/CD pipelines and tooling., • Experience operating production GCP environments., • Strong troubleshooting skills., • Python for automation and tooling.

Job Description Fortegra is building a next-generation engineering capability focused on AI-accelerated development and rapid application delivery. We are seeking Full Stack Engineers who thrive in fast-moving environments and have deep experience designing, building, and deploying enterprise-grade applications. The ideal candidate is a high-agency engineer with strong expertise in React-based front-end systems, modern backend frameworks, and secure public-facing application architecture, combined with hands-on experience using AI-driven development tools and agentic coding workflows. Domain experience in Insurance or Financial Services is a big plus. If you are excited about using tools like Claude Code, GitHub CoPilot, Cursor, Lovable, Replit, and other AI-native development tools to dramatically accelerate product development, we want to talk to you. What You’ll Do: Build and Ship Production Applications: • Architect and develop enterprise-grade full stack applications, • Design and build high-quality React front-end systems, • Develop scalable backend services using modern server-side frameworks, • Deploy secure public-facing applications in production environments, • Ensure performance, reliability, and maintainability of distributed systems AI-Accelerated Development: • Use AI coding tools such as Claude Code, CoPilot, Cursor, Replit, Lovable and similar environments to dramatically accelerate development cycles, • Implement AI-driven development workflows including agentic coding, prompt-driven engineering, and automated code generation, • Rapidly prototype and iterate on new product ideas, • Evaluate and integrate emerging AI developer tools Rapid Prototyping and Product Development: • Quickly build and validate new front-end applications and internal tools, • Partner with business stakeholders to transform ideas into working software, • Develop prototypes that evolve into production-ready enterprise systems, • Help establish Fortegra’s modern AI-first engineering culture Security and Production Readiness: • Design and implement secure architectures for public-facing applications, • Implement authentication, authorization, and secure API design, • Apply best practices in application security, cloud security, and compliance Required Qualifications: • 7+ years of professional software engineering experience, • Significant experience designing and deploying enterprise-grade applications, • Expert-level proficiency with React and modern front-end frameworks, • Strong experience with at least one server-side framework such as:, • Node.js / NestJS / Express, • Python (FastAPI, Django), • .NET Core, • Experience building and deploying secure public-facing applications, • Strong knowledge of API design, distributed systems, and cloud architectures, • Hands-on experience using AI coding tools such as:, • Claude Code, • Cursor, • GitHub Copilot, • Replit, • Experience with AI-assisted or agentic development workflows, • Strong ability to prototype quickly and iterate rapidly Preferred Qualifications: • Insurance or Financial Services domain experience, • Experience building AI-enabled products or developer tooling, • Familiarity with LLMs, AI agents, and prompt engineering, • Experience with serverless and cloud-native architectures, • Experience deploying applications in AWS, Azure, or GCP, • Experience building internal platforms or developer tooling, • Startup or high-velocity product development experience What Makes This Role Unique: • Work in an AI-first engineering environment, • Use modern AI developer tools to dramatically accelerate development, • Build production applications from prototype to deployment, • Help shape Fortegra’s next generation product platform, • Join a high-impact engineering team focused on rapid innovation Salary Range $110,000 – $190,000 base salary, commensurate with experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. #LI-Onsite

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • Strong experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionThe Opportunity:The Implementation Engineer is responsible for the hands-on technical deployment, configuration, and validation of SPHEREboard within enterprise client environments. Working closely with the Implementation Manager, project stakeholders, and customer IT/security teams, this role ensures the successful integration of SPHEREboard with client infrastructure, identity systems, and data sources. This position requires strong technical troubleshooting skills, experience interacting directly with clients, attention to detail, and an understanding of enterprise security and identity governance ecosystems. Key Responsibilities:1. Deployment & Configuration • Install, configure, and validate SPHEREboard components, including connectors, agents, and data collectors., • Integrate SPHEREboard with Active Directory, Azure AD, Okta, LDAP, cloud platforms, and data repositories., • Execute technical implementation tasks according to project timelines and requirements., • Validate proper data ingestion, normalization, and visualization within SPHEREboard.2. Technical Discovery & Requirements Gathering, • Collaborate with the client and internal teams to collect technical and security requirements., • Analyze existing infrastructure and identify integration points with SPHEREboard., • Document all environmental configurations and technical assumptions.3. Troubleshooting & Issue Resolution, • Diagnose and resolve deployment issues related to network access, authentication, data pipelines, and connector configurations., • Work with Engineering and Product teams to escalate and resolve complex technical problems., • Implement solutions with a security-first mindset and in compliance with client policies.4. Documentation & Knowledge Sharing, • Create and maintain technical documentation for each deployment, including environment details, integration steps, and validation results., • Contribute to internal knowledge bases, deployment guides, and reusable scripts., • Provide feedback to Product and Engineering on platform usability and deployment challenges.5. Collaboration & Support, • Work under the direction of the Implementation Manager to execute scoped tasks and report status., • Participate in internal stand-ups, client check-ins, and retrospectives., • Support training and knowledge transfer to customer administrators’ post-deployment. Why Join Us:, • Deployment quality and accuracy (e.g., data integrity, connector success rate)., • Time-to-completion of assigned implementation phases., • Client satisfaction with technical execution., • Frequency and resolution time of escalated technical issues., • Adherence to internal processes, documentation, and quality standards. About Sphere:SPHERE is a leading innovator in Identity Hygiene/Intelligence space, helping global enterprises reduce risk, ensure compliance, and achieve security maturity. We work closely with an ecosystem of technology partners, integrators, and alliances to deliver solutions that protect what matters most — people, data, and trust. To find out more about SPHERE and our solutions, please visit SPHERE is an equal-opportunity employer. Applicants will be evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Powered by JazzHR to2bcoz78S

Job Description Job Description: • We are seeking a contract engineer or data analyst to complete the implementation of the coating thin film data analysis solution., • The system automates coating run data review and disposition decisions, reducing manual engineering effort., • This position will take over day-to-day technical execution of the project., • Execute assigned implementation tasks and track progress against project timelines., • Work with software engineering to troubleshoot custom software., • Review and analyze historical thin film coating data., • Develop statistical limits (training can be provided)., • Migrate coating recipe files from legacy Excel formats into a standardized template., • Upload migrated data into a SQL database., • Validate data migration using Excel-based tools and macros., • Strong data management and analysis experience., • High proficiency in Microsoft Excel (formulas, templates, macros, VBA)., • Ability to work with structured data and follow defined processes., • Basic SQL query experience or willingness to learn (coaching can be provided)., • Ability to work independently and complete tasks with minimal supervision. Education: • Bachelor's Degree in Data Science, Engineering, Mathematics, or related technical field (preferred), • Associate's Degree in Data Science, Engineering, Mathematics, or related technical field (minimum required)Company DescriptionASTA Corporate Resource Solutions Inc is one of the Fastest Growing IT Companies in Northern America and the DC Metro Area with its headquarters in Ashburn, Virginia. ASTA CRS is an Information Technology Provider delivering superior quality software development, consulting, and staffing solutions to our client partners. We are 21 Years in this Industry. ASTA CRS services are uniquely positioned to support clients in achieving profound efficiencies and relentlessly delivering results. ASTA CRS is a long-time and trusted resource for its clients and partners. Asta CRS, Inc. is an Equal Opportunity Employer M/F/V/D. ASTA CRS is proud to state that we are enrolled with the USCIS for the E-Verification Program.ASTA Corporate Resource Solutions Inc is one of the Fastest Growing IT Companies in Northern America and the DC Metro Area with its headquarters in Ashburn, Virginia. ASTA CRS is an Information Technology Provider delivering superior quality software development, consulting, and staffing solutions to our client partners. We are 21 Years in this Industry. \r\n\r\nASTA CRS services are uniquely positioned to support clients in achieving profound efficiencies and relentlessly delivering results. ASTA CRS is a long-time and trusted resource for its clients and partners.\r\n\r\nAsta CRS, Inc. is an Equal Opportunity Employer M/F/V/D. ASTA CRS is proud to state that we are enrolled with the USCIS for the E-Verification Program.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package: Available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are searching for a Senior Full Stack Engineer (Node.js + React) with strong hands-on experience building scalable, high-performance web applications powering complex, data-intensive AI products used by Fortune 500 customers. This role is ideal for an engineer who enjoys owning features end to end—from backend architecture to polished frontend delivery—someone who can design APIs, build scalable services, craft intuitive user interfaces, and ship production-ready features at scale. What Youll Do • Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript., • Architect and develop robust backend services, APIs, and data models., • Build modern, production-grade web interfaces with React., • Own features end to end, from technical design and implementation to deployment and production support., • Optimize performance across the stack (frontend rendering, API latency, database queries)., • Collaborate closely with product, design, and AI/ML teams to ship user-facing features., • Establish best practices around testing, code quality, observability, and CI/CD., • Improve overall system architecture, scalability, and developer experience., • Debug and resolve production issues across both frontend and backend systems. What Were Looking For • 5+ years of experience as a Full Stack Engineer., • Strong proficiency in Node.js (Express, NestJS, or similar frameworks)., • Strong proficiency in React and TypeScript in production environments., • Experience designing RESTful APIs and working with databases (PostgreSQL, MongoDB, or similar)., • Solid understanding of modern web architecture and distributed systems fundamentals., • Experience building scalable, secure, and high-performance applications., • Familiarity with cloud environments (AWS, GCP, or Azure)., • Comfortable owning features and shipping to production independently., • Strong collaboration skills across product, design, and backend/ML teams. Bonus Points • Experience building data-heavy dashboards or real-time web applications., • Familiarity with modern state management solutions (Redux, Zustand, React Query)., • Experience with event-driven architectures or message queues., • Exposure to AI-driven or ML-powered products., • Startup experience or comfort working in fast-moving, ambiguous environments. Why This Role Will Pivot Your Career • Research pedigree: MIT CSAIL founders with deep AI and systems expertise., • Customer impact: Build products used by Fortune 500 clients., • Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding planned for 2026., • Ownership: Lead full stack architecture and mission-critical product features., • Engineering depth: Work on challenging scalability, performance, and AI infrastructure problems. Benefits • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision, • 401(k) Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description 2bridge has been engaged in the direct hire search for a Senior Full Stack Python Developer to join our Financial Client based near Colonia, NJ. They offer a comprehensive package including base, bonus, 401k, PTO, Medical, dental, and vision. Senior Software Engineer We seek several highly skilled Senior Software Engineers to join a dynamic team. In this role, you will design, develop, and maintain cutting-edge software solutions that drive business growth. Your expertise in full-stack development, cloud infrastructure, API integrations, and automation will be essential in delivering high-performance applications that scale efficiently. Key Responsibilities: Software Development & Deployment: • Design, develop, test, and deploy high-quality applications using Python, React, AWS, and modern scripting languages., • Implement scalable and maintainable software architectures that meet business requirements., • Utilize AWS services, including Lambda, DynamoDB, and cloud storage, to optimize application performance and scalability., • Ensure cost-effective and secure cloud-based application deployments., • Design and maintain RESTful and GraphQL APIs for seamless integration across various platforms., • Ensure APIs adhere to performance, security, and scalability standards., • Leverage TypeScript, JavaScript, and Python to build robust and efficient software solutions., • Design and optimize SQL queries and database architectures to support application needs., • Work closely with cross-functional teams, including product managers, QA engineers, and business stakeholders., • Participate in Agile/Scrum methodologies to drive project success., • Share expertise and mentor junior developers to foster a culture of technical excellence. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • 6+ years of experience in software development and system architecture., • 6+ Experience building financial applications for wealth or portfolio management disciplines, trading, or financial applications., • Proficiency in React for building modern, responsive web applications., • Hands-on experience with AWS services (Lambda, DynamoDB, Redshift, cloud storage, etc.)., • Strong expertise in API development (REST, GraphQL, WSO2) and backend integration., • Advanced skills in TypeScript, JavaScript, and Python., • Experience in SQL development and optimization., • Knowledge of Agile/Scrum frameworks for managing and delivering projects., • Strong communication and problem-solving skills., • Preferred: Cloud certifications and experience in fintech, wealth management, or enterprise SaaS. Why Join our client? • Work on high-impact projects in a fast-paced, collaborative environment., • Be part of a team that values innovation, security, and scalable solutions., • Opportunities for career growth, professional development, and mentorship.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job DescriptionJob Description: GCP Platform Engineer Location: Jersey City, NJ (5 days onsite) 6 months Position Overview Client is seeking a GCP Platform Engineer to support and evolve a large-scale Google Cloud Platform environment. This is a hands-on platform engineering role focused on building, operating, and maintaining shared cloud infrastructure that application and service teams depend on. The ideal candidate is a platform-minded engineer who takes ownership of cloud foundations—networking, identity, infrastructure as code, and deployment pipelines—ensuring reliability, security, and operational excellence across multiple environments. Key Responsibilities • Own and operate the GCP platform foundation, including infrastructure provisioning, CI/CD enablement, and operational support., • Manage and support CI/CD pipelines across multiple environments., • Use Terraform as the source of truth to provision, manage, and evolve GCP infrastructure., • Design, maintain, and execute operational runbooks., • Operate and support core GCP services across compute, networking, storage, and identity., • Support event-driven and messaging architectures., • Act as an escalation point for platform-level issues., • Partner with security and compliance stakeholders., • Enable application teams with stable, scalable platform capabilities. Required Qualifications, • Strong hands-on experience with Terraform., • Deep understanding of GCP (Org, Folders, Projects, IAM, Networking, Compute, Storage)., • Experience with CI/CD pipelines and tooling., • Experience operating production GCP environments., • Strong troubleshooting skills., • Python for automation and tooling.

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Job Title : AI DevOps Engineer Location : Iselin ,NJ Job Description : An AI DevOps Engineer bridges the gap between artificial intelligence development and operations, ensuring that AI models and systems are deployed efficiently, monitored effectively, and maintained reliably in production environm

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Assistant Estimator Project Manager.Are you the right candidate for this opportunity Make sure to read the full description below.CMA is seeking Assistant Estimator Project Manager for various construction projects from conception through completion in New York City and the surrounding boroughs.Comp

Headquartered in Bensalem, PA and founded in 1999, EDA Contractors holds an extensive portfolio of experience related to the exterior envelope of commercial, institutional, and industrial buildings.EDA achieves excellence by integrating design knowledge, continuous training, and accountability into

Position: Network Security Engineer Location: Trenton, NJ Hybrid Duration: 12+ months *Local candidates only, Candidates need 70% of their experience within the data centers and 30% in security. Enterprise working hands-on experience with these protocols would be a plus: BGP MPLS IS-IS VXLAN (Not a

Looking for Data Center Technician with following skills -.

Bachelor's degree or higher in Electrical Engineering, Systems Engineering, Computer Science/Engineering, Physics or related STEM degree with minimum 2 years' related experience. Radar Systems Engineering within Rotary & Mission Systems (RMS) is seeking a candidate to support the design, integration

Bachelor's degree or higher in Electrical Engineering, Systems Engineering, Computer Science/Engineering, Physics or related STEM degree with minimum 5 years' related experience. Mentor early career engineers in the systems engineering activities required to deliver products to stakeholders and cust

Swan Analytical USA is seeking a Field Service Technician to join our dynamic team.The Field Service Technician will play a crucial role in ensuring the optimal functioning and performance of our analytical instruments at customer sites.As a Swan Field Service Technician, you will be responsible for

For over 30 years, AMAROK has been the nation's leading provider of highly advanced perimeter security solutions, protecting over 9,000 commercial and industrial properties.Our multi-layered security system relentlessly stops would-be thieves where The Electric Guard Dog starts.Now is the perfect ti

Take the next step in your career as our new Amazon IT Support Technician to assist with organizing, stocking, and general upkeep, coordinate tasks to ensure deadlines are met, and support the preparation and delivery of goods or services.Other duties include respond promptly to inquiries and resolv