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Job ID: 715747BR Date posted: Jan. 28, 2026 Description:What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work This position is for an experienced professional engineer to become a member of the Solid State Radar Active Electronically Scanned Array (AESA) Subsystem Engineering team. This engineer will support the development of radar/antenna manager applications for deployment on real-time hardware. The engineer will have the opportunity to design and document antenna processing hardware/software architectures, design and analyze processing algorithms, perform modeling and simulation, and develop and execute test plans. The engineer will work on cross-discipline teams of systems, hardware, software, firmware, and test engineers while supporting all phases of development from concept through customer qualification testing. This position requires a U.S. DoD Security Clearance at the SECRET level. This position is located at a facility that requires special access. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicated to pushing the boundaries of what's possible. Learn more about IWSS Why Join Us Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's comprehensive benefits package here! Explore some of the cutting‑edge technologies we support: #REAS Basic Qualifications: • BS Degree in Electrical Engineering, computer science, or Electrical and/or Computer Engineering, • Experience with requirements development and performance analysis, • Experience with MATLAB, DOORs, MBSE, • Experience testing processing hardware and/or software, • Understanding application of Design Patterns, • Experience with GIT, • Experience with Code Optimization, • 1LMX IBM tools including Rhapsody, DOORS Next Generation, and Jazz, • Self Motivator and able to communicate effectively Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full time employees: accrue 10 hours per month of Paid Time Off (PTO); receive 40 hours of Granted PTO annually for incidental absences; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of PTO per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO is prorated based on hours worked and start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Systems Engineering: Other Type: Full-Time Shift: First

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.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications We are seeking a motivated Technical Support Engineer (TSE) to join our team. TSE's are responsible for resolving complex technical issues that go beyond the scope of first-line product support. This role involves both remote troubleshooting and on-site support at customer locations, requiring deep system knowledge and sound judgment in applying broadly defined practices and policies. Key Responsibilities: * Independently resolve advanced system-level issues in mechanical, electrical, and electrochemistry domains. * Detail system problems and coordinate with the service organization to drive resolution. * Collaborate with Applications and Engineering teams to determine optimal solutions. * Host and driveService Alert Meetings (SAM)to address critical service issues. * Document technical findings and problem-solving processes in8D formatpostmortem reports. * SupportContinuous Improvement Projects (CIP)and contribute to procedural enhancements. * Develop and refineBest Known Methods (BKMs)and training materials. * Act as a technical liaison fornew product developmentinitiatives. * Assist withsystem installations and upgrades, ensuring smooth deployment and integration. * The position requires 20-30% travel domestically and internationally Minimum Qualifications * 5 years of related experience with a Bachelors degree; or 3 years experience with a Master's degree; or PHD without work experience; or equivalent experience Base Pay Range: $41.69 - $70.87 Per Hour Primary Location: USA-NJ-Totowa-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Job Locations US-NJ-Paramus ID 2026-1963 Category Information Technology Type Regular Full-Time The Senior Manager, Commercial IT Data Engineer is a hands-on technical role responsible for designing, building, and maintaining enterprise data integrations and commercial data pipelines supporting life sciences operations. A strong foundation in SQL and relational data modeling is essential, as the role will regularly analyze, validate, transform, and optimize large commercial healthcare datasets. This role supports Snowflake analytics environments, IQVIA data ingestion (including Xponent, DDD, Prescriber/HCP, HCO, OneKey reference data, and affiliation datasets), and master data platforms including Reltio (preferred) or equivalent MDM solutions. The position partners closely with Commercial Operations, Data Operations, and managed service vendors to ensure reliable, scalable, and audit-ready data flows. Success in this role requires deep expertise in Reltio and/or on-premise MDM platforms, a strong understanding of Master Data Management principles, data governance, and data quality practices. Advanced SQL skills, experience with ETL tools, and familiarity with metadata management and data integration best practices are essential. Strong analytical thinking, problem-solving, and troubleshooting capabilities are also critical. Design, develop, and maintain enterprise data integrations across CRM, MDM, Snowflake, and external data providers. • Write, optimize, and troubleshoot complex SQL queries to support data ingestion, transformation, reconciliation, and validation., • Build and support ingestion pipelines for IQVIA datasets including Xponent prescription data, DDD datasets, OneKey reference data, Prescriber (HCP), and HCO data., • Process and integrate IQVIA affiliation datasets to support healthcare provider-to-organization relationships and hierarchy mapping., • Use SQL to investigate data issues, reconcile commercial datasets, and validate transformation logic., • Develop scalable Snowflake data models optimized for large commercial healthcare datasets., • Implement source-to-target mappings for IQVIA files including deciles, specialty alignment, territory mapping, brick-level data, and affiliations., • Support customer master alignment between IQVIA datasets, CRM platforms (e.g., Veeva), and Reltio or Informatica MDM platforms., • Support master data governance processes including survivorship rules, crosswalk mappings, golden record creation, and hierarchy management., • Develop automated validation, reconciliation, and monitoring controls for prescription, prescriber, and affiliation data., • Review vendor-delivered integration logic and SQL transformations to ensure scalability, performance, and maintainability., • Troubleshoot integration failures, transformation issues, API exchanges, and Snowflake performance bottlenecks., • Maintain Dev/Test/Prod deployment discipline and version control best practices., • Document transformation logic, SQL validation procedures, data lineage, and IQVIA file processing standards to support audit readiness., • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field preferred. Certifications in Snowflake, SQL, data engineering, or MDM platforms are a plus., • 3-7 years of hands-on data engineering or data integration experience within life sciences, pharma, or biotech., • Strong SQL expertise with ability to write complex queries, troubleshoot data issues, and optimize query performance., • Direct experience working with IQVIA commercial datasets including Xponent, DDD, Prescriber (HCP), HCO, OneKey reference data, and affiliation files., • Understanding of healthcare commercial data structures including prescriber hierarchies, affiliations, specialties, deciles, territory alignment, and brick-level geography., • Experience supporting enterprise data integrations using ETL tools, APIs, or file-based exchange processes., • Experience with Snowflake or other cloud data warehouse platforms., • Experience supporting or integrating with Reltio MDM (preferred) or equivalent master data platforms., • Experience with migrating from Informatica MDM to Reltio MDM is a plus., • Understanding of data stewardship practices and master data governance principles., • Strong debugging, reconciliation, and root cause analysis capabilities.

Job Description ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy. Job Description: ELLKAY is seeking a Senior Software Engineer to play a crucial role in advancing our core healthcare IT systems through the development of scalable and secure software solutions. As a senior individual contributor, this position involves working closely with other engineering team leaders to architect robust backend systems, guide technical direction, and enhance software delivery processes. Essential Duties & Responsibilities: * Take a technical leadership role in building and scaling national-scale healthcare data exchange systems * Deliver extremely reliable, scalable, and observable software capable of supporting massive transaction volumes * Lead architecture and implementation of highly scalable, API-driven systems powering healthcare data exchange at scale * Provide practical, balanced technical guidance—considering both engineering best practices and business priorities * Guide design decisions on fault tolerance, throughput optimization, and system resilience * Contribute to CI/CD pipeline improvements to maintain quality while accelerating delivery * Collaborate with product and implementation teams to shape technical execution * Document technical designs, workflows, and release notes for cross-team and customer consumption * Participate in and lead design and code reviews * Mentor engineers through pairing, design discussions, and pull request feedback Qualifications: * 10+ years of software engineering experience, with a focus on building large-scale, high-throughput distributed systems * Have a balanced, pragmatic approach—able to apply the right level of engineering rigor to meet business needs * Experience designing and scaling API-driven systems with extreme reliability and throughput requirements * Experience with event-driven, queue-backed, and asynchronous processing architectures * Skilled in observability practices including distributed tracing, metrics, and log aggregation * Strong background in Microsoft SQL Server and experience optimizing relational data access * Familiar with other database technologies (NoSQL, distributed databases) * Deep experience with the .NET ecosystem, with exposure to other technical stacks as a plus * Familiar with containerization, cloud-native architectures, and Kubernetes deployment patterns * Strong architectural skills with a focus on reliability, scalability, and performance * Proven ability to lead architecture across multiple systems and teams * Experience writing and optimizing parallel and asynchronous code * Strong knowledge of IHE profiles, FHIR, and other healthcare data exchange standards is a significant plus * Front-end development experience with modern JavaScript/TypeScript frameworks is a plus but not required * Bachelor’s degree or equivalent experience in a technical field Benefits: ELLKAY offers a comprehensive and competitive benefit package that starts day one! Including: • Medical, Dental, and Vision benefits, • Employer-paid Life and LTD, • 401k w/ matching – once eligibility is met, • Work/life balance, • Paid Volunteer Program, • Flexible working hours, • Generous FTO, • Remote work options, • Employee Discounts, • Working with talented, collaborative, and friendly people who love what they do, • Professional growth within, • Innovation environment At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. For more information on our company, visit . ELLKAY LLC is a Smoke-Free Workplace. ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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.

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

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

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 DescriptionAkamai Expert Engineer (Green Card/USC) Core skills Manage confirmation for Akamai Automation of configuration mgt in Akamai tool Very hands on with Akamai CDN Responsibilities: Design, develop, and implement automation solutions for Akamai configurations. Create and maintain scripts and tools to automate the deployment and management of Akamai services. Collaborate with development, operations, and security teams to integrate automated Akamai solutions into the overall infrastructure. Monitor and analyze the performance of automated configurations to ensure optimal operation. Troubleshoot and resolve issues related to automated Akamai configurations. Qualifications: Extensive experience with Akamai technologies, including CDN, WAF, and other performance and security solutions. Strong proficiency in scripting languages such as Python, Perl, or Shell. Experience with automation tools and frameworks (e.g., Ansible, Terraform, Jenkins). Strong communication and collaboration skills.

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 AWS DevOps Engineer We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate. Cb9hT0HISD

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 DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

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 Position Description A client of AlphaStaffHCM is seeking a Senior Software Engineer to lead frontend development initiatives across both our core product suite and digital customer experiences. This role requires a versatile engineer capable of building management consoles for our cloud and on-premise quantum devices while simultaneously delivering high-impact, interactive visualizations for market engagement. You will collaborate with backend engineers to integrate microservices for the core hardware control platform, while also working with UI/UX and Product teams to develop web-based demonstrations of our technology to a global audience. Responsibilities Product UI Engineering ● Develop a unified Next.js, React, and TypeScript codebase that functions as the central management interface for user access, system administration, and system auditing, which will be deployed in both cloud environments and on-premise hardware appliances. ● Integrate distributed backend microservices via RESTful APIs to visualize real-time hardware telemetry, job scheduling, and system status. ● Implement high-performance client-side data visualizations to visualize complex quantum phenomena. ● Manage runtime configuration strategies to ensure the application connects to the correct service endpoints regardless of the deployment environment. ● Implement Role-Based Access Control (RBAC) logic in the UI to enforce permissions and view-level security across complex application suites. Digital Experience & Interactive Applications ● Engineer interactive, web-based simulations that enable prospective customers to engage with quantum computing concepts in a browser environment. ● Implement advanced visualizations using Framer Motion, GSAP, Three.js or similar to represent complex physics logic intuitively. ● Maintain and optimize corporate web properties, ensuring compliance with Core Web Vitals, SEO standards, and mobile responsiveness. ● Oversee the technical integration of Content Management Systems to facilitate content updates by non-technical stakeholders. Required Qualifications ● 5+ years of professional experience in software engineering with a focus on frontend development. ● Strong knowledge of web security best practices, including the OWASP Top 10 (specifically XSS and CSRF mitigation), and experience implementing secure authentication flows (OAuth2/OIDC) and session management. ● Demonstrated ability to implement high-fidelity UI/UX designs with precision, strictly adhering to design specifications. ● Deep understanding of modern CSS layout models (Grid/Flexbox) and browser rendering engines. ● Experience integrating frontend applications with complex backend architectures, RESTful APIs, and microservices. ● Experience working with Content Management Systems or Headless CMS architectures (e.g., Next.js, Gatsby, Contentful). ● Knowledge of best practices for CI/CD. Preferred Qualifications ● Experience with WebGL, Three.js, D3.js, or similar for scientific data visualization. ● Knowledge of containerization workflows (Docker) for deploying frontend assets in on-premise environments. ● Familiarity with marketing technology stacks, including analytics implementation, A/B testing, and SEO best practices. Skills React, TypeScript, Next.js, CSS3, SCSS, Framer Motion, GSAP, REST APIs, Headless CMS, SEO, Responsive Design, Docker, CI/CD, OWASP, OAuth2

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 Position Description A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Quantum Information Theory and Network Security. This role is critical in building a secure data path for our quantum networking products. You will responsible for using theoretical quantum principles and photonic hardware to create deployment-ready software for Quantum Key Distribution (QKD), Quantum Zero-knowledge Proof (QZEK-P), Quantum Physical Unclonnable Functions (QPUF), and secure entanglement distribution. Responsibilities • Design and implement high-performance C++ software for real-time quantum cryptographic protocols, including entanglement-based polarization and time-energy QKD., • Develop efficient algorithms for classical post-processing in quantum-secured systems, specifically focusing on Error Correction (Information Reconciliation), Privacy Amplification to maximize secure key rates, and quantum authentication/confirmation., • Architect the Hardware Abstraction Layer (HAL) for distributed quantum networking nodes (Alice/Bob), interfacing with single-photon detectors, polarization controllers, and time-tagging electronics., • Optimize the full cryptographic stack for latency and throughput, ensuring seamless integration between quantum key generation, quantum authentication/confirmation, and the key management entity.., • Collaborate with optical physicists and FPGA engineers to deliver new features and provide updates as existing hardware is upgraded over time., • Develop simulation tools to model channel loss, noise sources, and the statistical performance of quantum protocols. Required Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Physics, or Mathematics is required., • 6+ years of experience in software engineering with a focus on systems, security, or embedded devices., • Strong proficiency in C++ and Python., • Deep domain knowledge of Quantum Key Distribution (QKD) protocols (e.g., BB84, E91, BBM92) and their implementation requirements., • Experience implementing Error Correction codes (e.g., LDPC, Cascade, Winnow) or Forward Error Correction (FEC) specifically for noisy communication channels., • Understanding of Quantum Information concepts, including entanglement distribution, Bell state measurement, and qubit polarization encoding., • Familiarity with high-speed data acquisition and processing protocols (e.g., PCIe, DMA, UDP/TCP)., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang). Preferred Qualifications • Knowledge of classical cryptography standards (AES, RSA, ECC) and PKI infrastructure., • Familiarity with Post-Quantum Cryptography (PQC) algorithms (Lattice-based, Hash-based)., • Experience with network security protocols (IPsec, TLS/SSL) and how QKD integrates into the OSI model., • Background in Information Theory and statistical analysis for security proofs. Preferred Education • Master’s or Ph.D. in Quantum Information Science, Physics, or Cryptography is highly preferred. Skills C++, Python, Quantum Key Distribution (QKD), Error Correction, Cryptography, Network Security, Entanglement, Polarization, High Performance Computing, Linux, Algorithms. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionOverview Company Overview: Join Allied Universal® Technology Services, a global leader in transforming the security industry. We integrate advanced technology - video surveillance, electronic access control, alarm monitoring and augmented solutions with physical security to help people feel safe. Whether you're an installation technician, service technician, engineer, or project manager, you'll discover rewarding opportunities to grow your career as part of a valued team. Apply today and be phenomenal-build a meaningful career while protecting what matters most through innovative security technology. Job Description: Job Description Allied Universal® Technology Services is looking to hire a Senior Applications Engineer. This role provides advanced expertise to installation and service teams, ensuring seamless interoperability across complex security platforms and enterprise applications. The Senior Applications Engineer will drive high-level troubleshooting, custom programming, system commissioning, software upgrades, and advanced diagnostics. Candidates should bring deep proficiency with integration tools, the ability to implement tailored software interfaces, and a proven track record of delivering scalable, secure, and high-performing solutions. Salary Range: $100,000 - $135,000 annually RESPONSIBILITIES: • Design and oversee advanced security system integrations to deliver cohesive, enterprise-level solutions., • Configure LAN (Local Area Network) and wireless network infrastructures to optimize connectivity, system reliability, and performance., • Lead advanced diagnostics and root-cause analysis to ensure peak system functionality and long-term stability., • Partner strategically with Project Managers, End Users, and Technical Teams to guide successful software deployment and utilization., • Resolve complex project-related software and system issues, coordinating with cross-functional technical resources as needed., • Direct escalation protocols, ensuring critical issues are communicated and mitigated promptly to minimize business impact., • Advise and coordinate with leadership to drive efficient timelines, effective resource allocation, and scalable project execution., • Oversee and schedule software licensing, compliance, and advanced training programs to foster continuous professional growth across teams., • Develop and lead end-user training strategies, ensuring seamless software adoption, optimized system operation, and enhanced client satisfaction. QUALIFICATIONS (MUST HAVE): • High school diploma or equivalent, • Minimum of three (3) year of experience programming and troubleshooting access control and video systems, • Advanced knowledge of industry-leading security system and equipment providers, working with enterprise level clients or large projects, • Product specific certification(s) with access control systems and video platforms, such as AMAG, Lenel, Milestone, Genetec, SoftwareHouse, • High level decision-making and complex problem-solving ability to develop innovative solutions that align with organizational strategy, • Expert ability to interpret, evaluate and apply advanced technical documentation, ensuring systems and solutions meet enterprise and client requirements, • Advanced proficiency with MS Office Suite (Excel, Outlook, PowerPoint, Project, SharePoint and Word), • Exceptional verbal and written communication skills, with internal and external stakeholders, • Ability to establish and maintain trusted partnerships across executive leadership, technical teams and client organizations PREFERRED QUALIFICATIONS (NICE TO HAVE): • Bachelor's degree in Computer Science, Engineering, or another related major COMPENSATION & BENEFITS: • Salary Range: $100,000 - $135,000 annually, • Medical, dental, vision, retirement plan, basic life, AD&D, and disability insurance, • Eight paid holidays annually, five sick days, and four personal days, • Vacation time offered at an accrual rate of 3.08 hours biweekly. Unused vacation is only paid out where required by law #LI-26 Closing Allied Universal® is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race/ethnicity, age, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, protected veteran status or relationship/association with a protected veteran, or any other basis or characteristic protected by law. For more information: If you have any questions regarding Equal Employment Opportunity, have difficulty using the online system and require an alternate method to apply, or require an accommodation at any time during the recruitment and/or employment process, please contact our local Human Resources department. To find an office near you, please visit: . Requisition ID 2026-1553270

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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 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 Title: System Application Engineer Location: Teaneck, NJ Position Summary: Hanwha Vision America (HVA), an affiliate of the Hanwha Group, a Fortune Global 500 company, is an industry-leading provider of advanced network video surveillance products. These include IP cameras, storage devices, and video management systems founded on world-class technologies. We offer end-to-end security solutions and have achieved global success across a wide range of industry verticals, including transportation, education, retail, banking, healthcare, hospitality, airports, utilities, and critical infrastructure. Hanwha Vision America seeks a highly experienced System Application Engineer to join our support team. In this position, you’ll be responsible for post-sales incidents and problem escalation, focusing on identifying root causes and providing resolutions in complex environments. You’ll also ensure proper testing, documentation, and deployment of workarounds and fixes, in addition to training the support team on how to resolve related incidents in the future. Key Responsibilities: • Technical, • Reproduce, document, and report product issues escalated from technical support or Field Applications Team to Product Managers, • Writing Sample required, • Test, document, and deploy workarounds for fixes in development, • Update and manage the issue log, • Own complex support cases for business-critical customers, • Training, • Serve as Subject Matter Expert regarding the Hanwha Vision product line,, • Providing Product training to the Technical Support Team, focusing on best practices in troubleshooting and product configuration Qualifications: • Previous Experience in customer/end-user-facing roles, • Korean Language required, • Ability to travel on short notice. Travel (15-25%), • Excellent understanding and troubleshooting capabilities of intricate network-based security systems, • Proven Aptitude in Root Cause Analysis, • Excellent ability to communicate complex ideas both verbally and in writing, • Certifications in, • CCNA/CCNE/Network +, • Linux +, • ASW or other Cloud Certification, • In-depth knowledge of Incident and Problem management, • Self-motivated and proven time management capabilities, • 3-5 years’ experience supporting IP-based security systems or a related industry preference Physical Demands:

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 Application & Systems Support Engineer (Level III) Location: Roseland, NJ (Onsite) Type: Full-Time Compensation: $65,000 – $75,000 base + bonus potential The Opportunity We are partnering with a well-established, growth-oriented law firm seeking an experienced Application & Systems Support Engineer (Level III) to join their IT team in Roseland, NJ. This is a high-impact role designed for a hands-on technical professional who thrives at the intersection of end-user support and systems administration. You will play a critical role in ensuring the stability, security, and performance of the firm's technology environment while directly supporting internal users across multiple offices and remote settings. This position is ideal for someone who enjoys solving complex technical issues, improving workflows, and helping teams operate more efficiently through technology. What You'll Do • Provide high-quality technical support via phone, email, and in-person interactions, • Troubleshoot complex hardware, software, and application issues using structured diagnostic approaches, • Deliver both remote and on-site support to end users across the organization, • Set up, image, and configure systems for new hires and internal teams, • Support key business applications, including Microsoft 365 and legal document management systems, • Administer Active Directory and Azure AD (Entra ID), including group policy management, • Manage user accounts, permissions, and role-based access controls, • Administer Microsoft 365 services (Exchange Online, Teams, SharePoint, OneDrive), • Troubleshoot network-related issues (DNS, DHCP, VPN, wireless connectivity), • Support and maintain print servers and enterprise printing environments, • Manage endpoint devices, including patch deployment and system updates, • Maintain and improve IT documentation and system configurations, • Track and resolve support requests through a ticketing system while meeting SLA expectations, • Coordinate with external vendors for escalations and issue resolution, • Identify opportunities to improve workflows through automation and new technologies, • Assist with system upgrades, infrastructure improvements, and new technology rollouts, • Support security initiatives, including vulnerability remediation and best practices implementation, • Travel to other office locations as needed for on-site support, • 3+ years of experience in IT support, systems administration, or infrastructure support, • Strong experience with Windows environments, Active Directory, and Microsoft 365, • Hands-on experience administering Microsoft 365 collaboration tools, • Solid understanding of networking fundamentals (TCP/IP, DNS, DHCP, VPN, wireless), • Experience managing endpoint devices and patch management systems, • Familiarity with enterprise printing environments and print server management, • Experience with scripting or automation (PowerShell, Python, or similar), • Understanding of identity management, endpoint security, and IT best practices, • Strong troubleshooting and analytical skills, • Bachelor's degree in IT, Computer Science, or related field, • Base salary: $65,000 – $75,000 (based on experience and qualifications), • Discretionary year-end bonus, • Medical, dental, and vision insurance, • Life and disability coverage, • 401(k) retirement plan, • Paid time off, • Blend of hands-on support and systems administration, • High visibility across the organization, • Opportunity to improve workflows and implement new technologies

Job DescriptionCompany Description Sr. AV Project Manager Location: Ridgefield Park, NJ Job Type: Full-time (1-Year Contract) Work Type: On-site Salary: $7,380 / month Job Overview We are seeking an experienced Senior AV Project Manager to lead enterprise-level Audio/Visual (AV) system design, consulting, and project execution. This role requires a technically strong professional who can bridge business needs with AV technology solutions, manage projects from planning to completion, and provide hands-on support during system deployment. The ideal candidate will have experience designing enterprise video conferencing systems, managing AV integrations, and working directly with clients and cross-functional technical teams. Job Description Key Responsibilities Client & Business Engagement * Act as the primary AV subject matter expert (SME) for clients and internal teams * Conduct needs assessments and recommend scalable AV solutions * Present AV technologies including video conferencing and collaboration platforms * Translate business requirements into technical system designs * Maintain strong relationships with customers, vendors, and integration partners AV System Design & Engineering Design and engineer enterprise AV systems including: * Video conferencing rooms (Huddle, Conference, Boardroom, Training Rooms) * Collaboration spaces and multi-purpose environments * Digital signage and integrated AV systems Experience with: * Cisco video conferencing solutions (Room Series, Codec platforms) * Poly collaboration systems * Cisco Webex * Microsoft Teams * Zoom Additional responsibilities include: * Signal flow design * Network integration * DSP configuration concepts * Control systems integration Project Management & Leadership * Lead AV projects from concept through completion * Manage internal technicians and external integration partners * Develop project timelines, milestones, and resource plans * Coordinate with IT, networking, facilities, and construction teams * Ensure projects are delivered on time and within scope and budget * Identify and mitigate technical and operational risks BoM & Commercial Review * Develop detailed Bills of Materials (BoM) for AV systems * Validate vendor quotations and equipment compatibility * Ensure alignment with project scope and budget * Support procurement and cost optimization strategies Documentation & Reporting * Define project scope clearly for clients and integration teams * Produce technical documentation and system diagrams * Prepare completion reports including: * As-built documentation * Equipment lists * Test results * Client sign-off documentation Installation Oversight & Technical Support * Oversee AV installation and commissioning * Support system testing and user acceptance * Troubleshoot video conferencing and AV integration issues * Provide end-user training and executive-level support Qualifications Qualifications Education * Bachelor’s degree in Network, Telecommunications, Audio/Visual, or related field Experience * 7+ years of AV system design, integration, or project management experience preferred * Experience managing enterprise AV deployments * Strong understanding of IP-based AV and networking fundamentals * Experience working with unified communication platforms Skills * Strong communication skills with executives and technical teams * Ability to lead cross-functional teams * Strong documentation and reporting capabilities * Detail-oriented with strong decision-making ability * Ability to work in fast-paced environments Additional Requirements * Travel up to 50% * Proficiency in Microsoft Office (Word, Excel, PowerPoint) Preferred Qualifications * Korean / English bilingual * Experience with enterprise AV environments Preferred Certifications * AVIXA CTS / CTS-D / CTS-I * PMP Certification Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Sr. AV Project Manager Location: Ridgefield Park, NJ Job Type: Full-time (1-Year Contract) Work Type: On-site Salary: $7,380 / month Job Overview We are seeking an experienced Senior AV Project Manager to lead enterprise-level Audio/Visual (AV) system design, consulting, and project execution. This role requires a technically strong professional who can bridge business needs with AV technology solutions, manage projects from planning to completion, and provide hands-on support during system deployment. The ideal candidate will have experience designing enterprise video conferencing systems, managing AV integrations, and working directly with clients and cross-functional technical teams. Job Description Key Responsibilities Client & Business Engagement * Act as the primary AV subject matter expert (SME) for clients and internal teams * Conduct needs assessments and recommend scalable AV solutions * Present AV technologies including video conferencing and collaboration platforms * Translate business requirements into technical system designs * Maintain strong relationships with customers, vendors, and integration partners AV System Design & Engineering Design and engineer enterprise AV systems including: * Video conferencing rooms (Huddle, Conference, Boardroom, Training Rooms) * Collaboration spaces and multi-purpose environments * Digital signage and integrated AV systems Experience with: * Cisco video conferencing solutions (Room Series, Codec platforms) * Poly collaboration systems * Cisco Webex * Microsoft Teams * Zoom Additional responsibilities include: * Signal flow design * Network integration * DSP configuration concepts * Control systems integration Project Management & Leadership * Lead AV projects from concept through completion * Manage internal technicians and external integration partners * Develop project timelines, milestones, and resource plans * Coordinate with IT, networking, facilities, and construction teams * Ensure projects are delivered on time and within scope and budget * Identify and mitigate technical and operational risks BoM & Commercial Review * Develop detailed Bills of Materials (BoM) for AV systems * Validate vendor quotations and equipment compatibility * Ensure alignment with project scope and budget * Support procurement and cost optimization strategies Documentation & Reporting * Define project scope clearly for clients and integration teams * Produce technical documentation and system diagrams * Prepare completion reports including: * As-built documentation * Equipment lists * Test results * Client sign-off documentation Installation Oversight & Technical Support * Oversee AV installation and commissioning * Support system testing and user acceptance * Troubleshoot video conferencing and AV integration issues * Provide end-user training and executive-level support Qualifications Education * Bachelor’s degree in Network, Telecommunications, Audio/Visual, or related field Experience * 7+ years of AV system design, integration, or project management experience preferred * Experience managing enterprise AV deployments * Strong understanding of IP-based AV and networking fundamentals * Experience working with unified communication platforms Skills * Strong communication skills with executives and technical teams * Ability to lead cross-functional teams * Strong documentation and reporting capabilities * Detail-oriented with strong decision-making ability * Ability to work in fast-paced environments Additional Requirements * Travel up to 50% * Proficiency in Microsoft Office (Word, Excel, PowerPoint) Preferred Qualifications * Korean / English bilingual * Experience with enterprise AV environments Preferred Certifications * AVIXA CTS / CTS-D / CTS-I * PMP Certification Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Position Description: A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Mathematical Optimization and algorithm development. This role is critical in architecting the core software engine that drives our proprietary photonic quantum processors, combining complex mathematical formulations with physical optical hardware feedback. Responsibilities • Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers., • Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer., • Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces., • Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality., • Write efficient, thread-safe code for concurrent hardware control and real-time signal processing., • Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines., • Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources. Required Qualifications • 6+ years of experience in software engineering with a focus on systems or HPC., • Strong proficiency in C++ and Python, • Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods., • Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen)., • Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration., • Strong understanding of performance tuning, memory management, and fault-tolerant design., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang)., • Experience working in cross-functional teams involving hardware, physics, and software. Preferred Qualifications • Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics., • Experience with classical optimization solvers (e.g., CPLEX, Gurobi) or heuristic frameworks., • Familiarity with Open Quantum Systems or optical feedback mechanisms., • Background in Digital Signal Processing (DSP) or control theory., • Knowledge of containerized deployment using Docker. Skills C++, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization,, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction, Signal Processing. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job Description We are looking for a Senior Software Engineer. Our product is built from day one as a modern API First microservice architecture (Scala, ReactJS, TypeScript) with true continuous delivery and a deep investment in automated testing. This role reports to the Director of Engineering for the team and is based out of our Hoboken office. You Will: • Manage delivery of new features for the organization, • Share technical architecture with other members of the technology organization, • Promote technical design and coding standards that raise the technical bar of the team and product, • Propose and develop features, tooling, and infrastructure to scale the product, • Bring a rigorous approach to delivering quality software / verification of works as intended, • Focus on stability, metrics, and moving fast with confidence while iterating work with a modern cloud-based microservice architecture really learn how to deliver quality software efficiently with Global-e’s unique software development lifecycle, • Write code mostly in Scala. There is no need-to-know Scala in advance, just a desire to learn Requirements You Are: • Curious and enthusiastic for tackling tough problems and deliver, • Always learning and hungry for new knowledge and skill sharing, • A great verbal and written communicator – you’ll be part of a team and will be collaborating with stakeholders across the business, • A deep problem solver – the ability to analyse a business or technical problem and select the most appropriate solutions, • A multi-tasker with the ability to manage unplanned work without impacting committed, high priority deliverables, • A strong believer that great teams are necessary to create world class products. Willing to invest the time to build strong relationships and help others on the team grow You Have: • 6+ years of experience building highly scalable consumer-facing applications, • E-commerce experience, • Experience with Agile, Continuous Integration, Continuous Deployment, • Strong database experience, especially around scaling applications

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.

Experience in technical pre-sales, forward-deployment, or field engineering roles. This role sits at the intersection of engineering, product, and business development. If you're an entrepreneurial engineer who thrives in ambiguity, loves building quickly, and wants to see the immediate impact of yo

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Ideal candidates will have a strong software engineering background, experience with cloud deployments, and a passion for innovative AI solutions. A technology company in San Francisco seeks a Forward Deployed Engineer to lead AI-driven enterprise solutions.

Strong understanding of software engineering fundamentals, including system design, testing, and deployment. Bloomberg's Packaging team is responsible for the deployment system used by over 9000 engineers to manage their code production. They are seeking a Senior Software Engineer with deep Windows

Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment. Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions. Applies software engineering

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Want to build a brighter, bolder future and cultivate your career? Join Ecolab’s team and help create a world in which we all thrive.Nalco Water, an Ecolab company, helps customers conserve more than 161 billion gallons of water annually.We serve industries from food & beverage to mining and manuf

Project Manager-Great Benefits This Jobot Job is hosted by: Chandler Kane Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $80,000 - $110,000 per year A bit about us: We are a leading provider of premium retail display solutions for luxury and prest

Want to build a brighter, bolder future and cultivate your career? Join Ecolab’s team and help create a world in which we all thrive.Nalco Water, an Ecolab company, helps customers conserve more than 161 billion gallons of water annually.We serve industries from food & beverage to mining and manuf

Lead budget development, cost tracking, value engineering, and financial reporting to maintain project profitability.

Field Service Technician with Industry Leader / $30-$42 an hour depending on Experience / National and International Travel This Jobot Job is hosted by: Ken McClure Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $30 - $42 per hour A bit about us:

A financial firm is looking for a Data Engineer - Databricks to join their team. Pay: $100-130/hr US Citizens or GC Holders Only No c2c - W2 Only Qualifications: A Bachelor's Degree in Computer Science, Management Information Systems, Computer Engineering, or related field 7+ years of experience in