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WMS Pre-sales Consultant Employment Type: Full Time, Salaried Location: Hybrid; Teaneck, NJ 07666 Made4net is a leading provider of supply chain execution software solutions. Our innovative technology helps businesses optimize their supply chain operations, increase efficiency, and improve overall productivity. With a global presence and a commitment to excellence, Made4net is at the forefront of the industry, serving a diverse range of clients across various sectors. Purpose of the Function: This function plays a critical role in understanding customer needs, presenting tailored solutions, and ensuring a high level of customer satisfaction. By aligning sales strategies with organizational goals, the Sales Function contributes to market expansion, brand visibility, and long-term business sustainability. At Made4net, we don’t just sell Warehouse Management Systems (WMS); we sell a vision of operational excellence. We are seeking a passionate storyteller who can stand in front of a prospect, empathize with the frustration of their aged legacy solutions, and build a compelling mental bridge to a better future with Made4net. Purpose of the Job: As a Pre-Sales Consultant you are expected to have strong understanding of supply chain challenges and opportunities, and how technology can enable companies to gain competitive advantage by addressing these challenges quickly and effectively. You will work closely with sales, professional services, and executive leadership to turn supply chain challenges into opportunities. Your goal is not just to demonstrate features, but to paint a picture of a future state where the customer’s pain points are resolved. This role is a trusted advisor to our clients, which means we maintain and offer our clients extensive knowledge in the industries we service, the workflows we can augment and deliver superior results that support our clients' strategic objectives. Core Duties and Responsibilities: • Become a Trusted Advisor to our existing customers and prospects., • Collaborate with a cross-functional team to create an opportunity/account strategy, align the Made4net solution with pain points, assist/build ROI presentation(s), and present/demo the solution., • Deep Discovery: Conduct discovery workshops not just to gather requirements, but to truly understand the nuance of the customer's business and the friction in their current processes., • Behind the Scenes: While the presentation is art, the setup is engineering. You will configure demonstrations and engineer solutions using your technical proficiency., • The Narrative Architect: Instead of simply clicking through features, you will craft and deliver demonstrations that follow a storyboard, guiding the customer through a journey from their current struggle to their future success., • The "Aha!" Moment Creator: Use your presentation skills to create moments of realization for the client, helping them visualize exactly how Made4net integrates with or replaces their existing ERP, OMS, and automation technologies., • Replay & Validate: "Replay" the customer's process back to them to prove you understand their reality, establishing yourself as a Trusted Advisor who "gets it" before you ever pitch a solution., • Develop and maintain technical and business knowledge of industry directions and trends., • The Bridge Builder: You will act as a translator, taking complex technical capabilities—like our private cloud/SaaS or on-premise models—and explaining them in a way that resonates with business goals and solves specific pain points., • Assist in the development of pricing proposals and communicating to customers/prospects implementation requirements and timelines., • Play a critical role in responding to RFI’s and RFPs in the functional, technical, and cloud/security areas., • Collaborate with Director of Sales Engineering to develop Pre-Sales Consulting “playbook.” Required toolkit: • Experience: 5+ years of industry, consulting, or Pre-Sales experience (Warehouse/Transportation focus preferred). (Warehouse/Transportation) experience (Pre-Sales preferred), • Methodology: Experience with Demo2Win is highly preferred. If you are a natural storyteller without the certification, we are willing to invest in your training., • Communication: Outstanding ability to convey industry trends and support messaging with data. You must be comfortable presenting a broad vision to audiences of varying sizes. Required Qualifications: • Undergraduate degree in Logistics, STEM, or a comparable area of study., • SQL Server: Basic skills (SQL statements, views, triggers) to manipulate data for demos., • OS: Basic Windows Server Operating System skills., • Apps: Proficiency in MS Office (Excel, PowerPoint, Word). The Mindset: • Collaborative: A team-oriented attitude, willing to jump in wherever needed to support the company and the customer., • Adaptive: High energy and comfortable with ambiguity; you can adjust to shifting priorities in an entrepreneurial environment., • Road Warrior: Willingness to travel up to 50% to meet our customers where they are. Pay range: From $100,000.00 per year salary This position offers a competitive salary package that is commensurate with your years of experience in the field and the specific skills you bring to the role. Made4net is an equal opportunity employer, and all qualified applicants will receive consideration for employment 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. Physical Demands: The employee must occasionally lift and/or move up to 15 pounds from a floor position to an over the head position. Specific vision abilities required by this job include close vision, color vision, depth perception, and ability to adjust focus. While performing the duties of this job, the employee is regularly required to sit, stand, verbally communicate, and perform intricate finger dexterity to type or manipulate electronic documents while speaking or listening. We are committed to providing reasonable accommodations to qualified individuals with disabilities, in accordance with the Americans with Disabilities Act (ADA). This job description outlines the essential functions of the position. Applicants who need reasonable accommodation to participate in the application or interview process should contact the Human Resources department.

Title: Integration Engineer Location - Weehawken, New Jersey Department: Information Technology Job Type Contract- Hire Length: 4 month Role • Build the interfaces with feeds with SaaS solution (Vendor hosted/Cloud Based) built for self Service and Central Intake capabilities, • Design & integrate the platform with Client’s systems using REST, File and Messaging based interfaces, • Work closely with the tech lead & Program manager to understand the requirement create, • Manage newly stood up SaaS solution (LegalHUb) working very closely with vendor, • Design & conduct Non-functional testing, • Define failover / BCM Team You’ll be working with the GGC and Legal Technology Teams who are responsible for delivery of programs globally for the GGC business. Expertise • Bachelor's degree Computer Science / engineering, • Ideally 8+ years of experience in Development, Integration on cloud platform along with IT security know-how, • Knowledge of SaaS Platforms with a good understanding of technologies such as Jira, Remedy preferred., • Deep understanding of integration standards and transports, • Strong understanding of industry integration technologies such as MuleSoft, Boomi, etc., • Build consuming APIs and writing/reading technical documentation, • Experience with integrating REST and SOAP APIs, SFTP, and other SaaS protocols. Along with Web Service solutions, • ServiceNow experience required. ITIL certification a plus., • Basic knowledge of SQL and ability to write SQL queries., • Ability to be self-sufficient, working directly with customers to troubleshoot and solve issues., • Must be comfortable presenting technical content to customer audiences.

CS/IT Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: • Resume doesn’t match job keywords (ATS filters you out)., • Projects look like school assignments (not production-aligned)., • Interview skills are undertrained (DSA, system design, SQL, behavioral). Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: • New grads in CS, Engineering, Math, or Statistics with limited job experience, • Students finishing Bachelor’s or Master’s programs who need a real hiring plan, • Candidates who apply consistently but don’t get callbacks, • Candidates who reach interviews but struggle to close, • International students on F-1/OPT who need a job plan for STEM extension/H-1B timing If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: • Contact & get a roadmap: ___ Please read our blogs Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume

Company Description Asset Inventories, Inc., headquartered in Midtown Manhattan since 1992, is a leading provider of IT staffing, inventory management, and IT support services. With additional offices across North America, including Montreal, Toronto, and Los Angeles, the company serves Fortune 100 companies, government agencies, and globally recognized organizations. Specializing in IT asset management, hardware and software support, cloud-based inventory solutions, and custom software development, Asset Inventories is committed to delivering reliable and innovative solutions. Our expertise extends to high-pressure environments like trading floors, making us a trusted partner in IT project management and operations. Job Type - Contract to hire Pay - $30 - $40 per hour Job description: We are seeking a highly skilled Data Center Engineer Consultant to join our team at Palisades, NJ. Responsibilities • Gather requirements, perform physical installation, and troubleshoot all equipment within the Data Centers., • Coordinate with local and global/remote teams to resolve technical issues and manage connectivity., • Monitor and report on technical progress, ensuring project deliverables are tracked and met., • Maintain clean, organized, and safe Data Center and shared workspace environments., • Leverage global Data Center documentation and best practices; suggest improvements and update process documentation as needed., • Manage equipment orders, returns, shipments, and overall inventory accuracy., • Solid understanding of Data Center operations and layout, including power, cooling, racking, cabling, and structured pathways., • Good understanding of networking and systems fundamentals (circuits, IP routing, console access, switching concepts)., • Working knowledge of Linux (Red Hat preferred)., • Basic Cisco knowledge (CCNA preferred)., • Hands-on experience with copper and fiber cabling; ability to inspect, clean, test, and validate fiber (preferred)., • Experience working in an exchange, financial services environment, or international technology firm (preferred)., • Technical inventory management experience (preferred)., • Able to lift, move, and carry equipment typically used in a Data Center (servers, switches, UPS units, cabling boxes), up to 50 lbs unassisted., • Comfortable working on your feet for extended periods (up to 8–10 hours during installation windows)., • Able to climb ladders, work in confined spaces, and navigate hot/cold aisle environments., • Comfortable performing overhead work, bending, kneeling, and repetitive physical tasks., • Ability to work in secure, noisy, or temperature-variant environments typical of large-scale Data Centers.

Hybrid Remote | Onsite 4 weeks per month in Jersey City, NJ As a senior developer on one of the agile squads you will have the opportunity to work on development/enhancement/support of existing Money Movement applications and contribute to the development of new capabilities within those areas. The teams are involved with many initiatives such as testing automation, paper elimination, digital credentials, and cloud transformation; technology stack will primarily consist of Java, Oracle, and AWS. This Senior Full Stack Software Engineer opportunity would be great for someone looking to utilize their existing skillsets in addition to learning new technologies! The position will require hands-on software development, technical mentoring, cross team collaboration with a diverse and co-located engineering team, and the ability to visualize customer issues as drivers for internal change. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Pay: $60 - $65/hr W2 Responsibilities • Develop new features, • Java/ J2EE (Critical), • JavaScript (Required), • Continuous Integration Tools (e.g. Jenkins, Maven) (Critical), • Code Source Control (e.g. GIT) (Critical), • Communication (written/verbal) (Critical), • Team Player (with respect and integrity) (Critical), • Problem Solving (Required), • Confident/ Self-Aware (Required), • Initiative / Passion for Technology (Required) Experience Requirements • 5+ Years of experience in Software Development., • Application development on Public Cloud - AWS Managed Services, ECS, EC2, EKS, Serverless Framework/Lambda, API Gateway, Step Function, S3, ALB, Route53, • Develop and/or consume REST API using Java, Spring Boot., • Experience writing and performance tuning SQL/Functions/Procedures in transactional database systems such as Oracle, SQL Server, Postgres, • Building test suites using Junit, Mockito, Cucumber, Karate., • Experience in build technologies such as Gradle / Maven, • Experience with tools such as GitHub, Jenkins, uDeploy, Docker, Datadog and Splunk etc. Education Requirements • Bachelor’s degree in computer science or related field required Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . Job ID: JN -012026-104899

Job Title: Full Stack Engineer Duration: 6 months (Contract to Hire) Location: Newark, NJ (Hybrid 3 days/week) Summary We are seeking talented and motivated Full Stack Engineers at various levels to join our growing technology team. The ideal candidate will be proficient in both front-end and back-end development, with strong problem-solving skills and a passion for building high-quality, scalable software solutions. Key Responsibilities • Design, develop, test, and deploy full-stack applications, • Build efficient and reusable front-end and back-end systems., • Collaborate with product managers, designers, and other engineers to define and deliver new features., • Develop APIs and microservices using modern frameworks and tools., • Ensure application performance, security, and scalability., • Maintain clear documentation and follow best practices in coding and design., • Programming Languages: Java, JavaScript, Python, • Frameworks & Tools: React, Angular, Node.js, Spring Boot, Spring Batch, • Databases: DynamoDB, DB2, Oracle, PostgreSQL, • Other Skills: RESTful API development, version control (Git), CI/CD,, • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)., • Proven experience in full-stack development (front-end and back-end)., • Strong understanding of software development life cycle (SDLC) and Agile methodologies., • Excellent communication and teamwork skills. Ability to adapt to new technologies and learn quickly.

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.

Posting Type Hybrid Job Overview AtRelativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects. The Product Management team is looking for aGroup Product Managerwith strong product management and communications background to creatively solve for the needs of our customer base. You will be responsible for creating and executing a product vision for a portfolio of products. To help, you will manage a team of ProductOwnersand together you will partner on managing the full product lifecycle from strategic planning to tactical execution. A successful candidate must be energized by building deep customer empathy, collaborating with design and development, discovering opportunities through data analysis, and creating and communicating progress through leading indicators. Focused on Relativity's Data Extensibility products, you will be responsible for helping create innovative solutions which empower clients to create, manage and leverage data in RelativityOne that drive custom workflows and tailored AI solutions.You will represent the portfolio at conferences and speaking engagements as an expert in the field. You will help lead a team of skilled PMs focused creating exceptional user experiences and actualizing the vision and strategy you lay forth. This is a high-impact role for a technical product leader who deeply understands both developer and end-user workflows and the critical role custom data plays in creating AI-first platforms. You will drive the evolution of our custom data strategy in support of rapidly changing user needs and our quickly evolving platform. Job Description and Requirements Role Responsibilities Job Description and Requirements * Set Strategic Direction:Define the long-term roadmap for ourdata extensibility offeringwhichenables clients to bring incustomstrategicdatathataddsimportantcontext to their cases and drives action. * BringCustomerCentricity:Lead your team infrequentlyconnecting with the customer tocrystallizepain points andbuildroadmapswhichbalanceimmediate customerneedswithlongtermneeds of thebusiness. * ChampionDevelopersandEndUsers:Deeply understand and advocate for both developer and end user personas,ensuring Relativity builds the right APIs, tools, and UI workflows to satisfy theirdiverseneeds. * Collaborate Cross-Functionally:Work closely with peers across product, engineering,securityand finance to ensure alignment between platform capabilities and business needs; particularly close partnership with AI. * Measure and Optimize:Define key success metrics for adoption, performance, efficiency, and reliability - and drive continuous improvement through data-driven prioritization. Job Responsibilities * Craft and shape the product strategy and portfoliothat both impacts and is shaped by cloud and AI transformationwitha cohesive roadmap that encompasses product, technology, and adoption. * Clearly communicate product vision, strategy, and roadmapto a range of audiences from internal/external stakeholders, senior leaders, and customers with varying levels of technical acumen. * Lead with a data- and KPI-driven approach,utilizingboth qualitative and quantitative data from deep user, customer, market, competitiveinsightand data to articulate clear long-term product vision,identifynew strategic opportunities, and gain organizational buy-in. * Manage effectively via Objectives and Key Resultsalongside leading indicators of product health and project success; drive tactics based on insights from portfolio metrics and reporting. * Discover and deeply understand bothdeveloper and end userneedstoidentifyopportunities andproposesolutions thatexpand the value they derive from Relativity. * Craft thoughtful adoption & enablement strategiesfor successful and productive adoption ofcapabilities. * Lead research and proposals to drive build/buy/partner decisions; work collaboratively with design and development tovalidatedirection and solution; work with product marketing on go to market strategies. * Own the operation of your portfolio, including managing customer roadmaps, capturing customer feedback signals, and reporting outcomes clearly and succinctly. * Model and exemplify being a great people leaderas well as mentor and coach junior team members, help improve the team's operations, and contribute to team-wide initiatives. * Adaptableplayerandcoachfor your team members and portfolio. * Buildand owncomprehensivesolutionswhichconsistentlydelight customers,coveringeverything from product functionality tohelp documentationandSupportteaminteractions. Minimum Qualifications * 10+ years of experience in product management or working closely with product managers to delivergreat valueto engineers as customers * 3+ years of experience inspiring, managing, and coachingProduct Owners asdirect reports * Proventrack recordof quantifiable, measurable impact withchampioning custom data/workflows * Strong technical fluency - able to engage in architecture discussions, understand tradeoffs, and influence technical direction. * Experiencebuilding highly customizable data platform experiences thatpower AI and/ordrive action * Excellent communication and storytelling skills, with the ability to inspire teams and gain executive alignment. * Familiarity and comfort with data,including the ability to use data to analyze andmonitorproduct health, set goals, back up assumptions, and track success. * Strong tactical execution with the ability to handle multiple projects simultaneously * Detail-oriented without losing focus on strategy and big picture objectives * Excellent communicator and presenter, both written and verbal * Solid understanding of software development lifecycle and agile * Bachelor'sdegree in Business, Computer Science, Engineering, or Design or comparable work experience. Preferred Qualifications * Strong technicalexpertisein microservice architecture and one or more cloud platforms * Direct/prior experience as a software engineer or workingclosely withmanaging highly technical product solutions * You are excited and curious abouthighly complexproblems, systems, and interactions * A team player with proven ability tovalidatesolutions and deliver features frominceptionto delivery 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: $166,000 and $250,000 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: Business Development, Collaboration, Innovation, Leadership, Market Analysis, Market Strategy, Mentorship, Product Lifecycle, Product Management, Stakeholder Management

Description Leidos is seeking an experienced Senior Delivery Engineer/Architect for our Resilient Network Practice. This position and work will be in Newark, NJ; open to candidates within a broader radius who can reliably travel to support onsite work in Newark. POSITION SUMMARY: The successful candidate will be responsible for providing hands on technical expertise with Mission Drivers within the Network Practice of the Digital Modernization (DigMod) Sector. As a Network Practice Sales Engineer/Architect , you’ll be a critical bridge between technical expertise and business development. Your role will focus on promoting Leidos Network solutions to federal clients, ensuring alignment with their needs and driving successful adoption of Leidos Mission Drivers. Duties may include developing innovative approaches and solutions, using non-quantitative tools and guidelines from experience. CLEARANCE REQUIREMENT: No initial clearance is required to start; however, you must be able to obtain and maintain a DoD Secret security clearance. (US Citizenship required). PRIMARY RESPONSIBILITIES: Technical Expertise: • Maintain a deep understanding of network technologies (e.g., IaC, SD-WAN, wireless, NFV)., • Maintain a deep understanding of Leidos Network Mission Drivers and be able to articulate technical benefits, features, and use cases to potential clients., • Stay informed about network trends, competitive landscape and emerging technologies to effectively position Leidos capabilities and offerings., • Lead strategic initiatives to enhance the Leidos offerings portfolio, leveraging your deep technical knowledge and industry insights. Client Engagement: • Be the Network Practice Area technical Sales Engineer/Architect that works with Leidos DigMod Sector CTO, Business Groups and Growth to identify customer requirements and propose tailored solutions and offerings., • Direct, conduct and participate in technical presentations, demonstrations and workshops for government customers., • Work with DigMod CTO organization to leverage and create sandbox, demonstration environments for hosting Network Practice repeatable offerings., • Develop and maintain high-level relationships with key stakeholders and decision-makers to drive strategic opportunities and long-term partnerships., • Provide consulting and thought leadership to influence client decision-making and drive project success. Solution Architecture: • Partner with Leidos capture teams, solutions architects, and engineers to design secure, resilient, and scalable networking solutions that meet customer requirements, including MPLS-based transport, carrier-neutral facility interconnects, SD-WAN overlay architectures, and wireless access technologies, tailoring repeatable offerings accordingly., • Architect enterprise and mission-scale network solutions leveraging multi-cloud connectivity patterns, including hybrid and cross-cloud networking, secure cloud on-ramps, and integration with carrier-neutral data center ecosystems to support federal mission needs., • Design and oversee implementation of advanced segmentation strategies, including micro-segmentation and policy-based network controls, to enhance security posture, zero trust alignment, and workload isolation across on-premises, cloud, and edge environments., • Develop and implement innovative solutions to address complex technical challenges across multiple sectors, applying deep expertise in SD-WAN overlays, wireless technologies, and multi-transport networking using creative problem-solving and advanced technical judgment., • Architect and govern the delivery of enterprise-scale network solutions, ensuring alignment with organizational strategy, client mission objectives, and evolving technology standards., • Champion network architecture best practices and drive continuous improvement of Leidos Network Practice offerings based on market trends, emerging technologies, and client feedback., • Serve as the lead technical contributor for proposal and RFx efforts, with primary responsibility for solution architecture, technical narratives, and pricing inputs related to network transport, cloud connectivity, and security segmentation strategies., • Deploy, maintain, and demonstrate Network Practice Repeatable Offerings, including SD-WAN, multi-cloud connectivity, wireless, and micro-segmentation capabilities, to internal business areas and current and prospective customers. Collaboration: • Collaborate with practice area team members, client stakeholders, and external partners, including sub-contractors and suppliers, to ensure effective communication and project alignment., • Influence practice area and sector leaders on solution design and process improvements, advocating for strategic approaches and best practices., • Lead cross-functional teams to drive alignment and ensure the successful delivery of complex, multi-dimensional projects. BASIC QUALIFICATIONS: • Master’s degree with minimum of 15+ years in network architecture or engineering roles, with a robust background in designing, implementing, and optimizing solutions in network environments; additional years of experience may be substituted in lieu of degree., • Extensive experience in NMS, multi-transport, and infrastructure-as-code concepts., • Demonstrated expertise in designing and deploying scalable infrastructure incorporating cloud environments using both established and cutting-edge technologies., • Proven track record of resolving complex technical challenges in Network architectures., • Strong leadership skills with a successful track record of leading teams in the implementation of Network solutions, fostering collaboration and innovation., • Ability to effectively manage projects, prioritize tasks, and meet deadlines in dynamic Network environments. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $139,100.00 - $251,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Title: Senior Software Engineer Duration: 6+ months (CTH) Location: hybrid (Newark, NJ) Summary As a Senior Software Engineer on the Retirement Strategies Technology team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to deliver quality platforms and products with speed.? You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is What You Can Expect on a Typical Day Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments?? Develop high quality, well documented and efficient code adhering to all applicable Prudential standards?? Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact? Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems?? Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day?? Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables. Use programming languages including but not limited to Java, JavaScript, Springboot, Node.js frameworks? The Skills & Expertise You Bring: Bachelor of Computer Science or Engineering or experience in related fields Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization?? Experience with agile development methodologies and Test-Driven Development (TDD) Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: Programming Languages:? Java, Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring,, Microservices, multi-threading, Concurrency and parallel processing Frameworks:?Springboot, Node.js Data Store:?NoSQL or Relational Data structures; Data Streaming:?SQS, SNA Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SQL API Management & Integration : Kong, Apigee Unit, interface and end user testing?concepts and tooling (functional & non-functional) Automated testing Accessibility awareness Software security skills?including?secure coding, web application security and ; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0) Dev Ops Tools & Practices: Branching techniques and usage of GitHub; DevOps Software Development Life Cycle (SDLC): Monitoring and logging techniques AWS Core Services across compute, storage, DB, IAM Preferred Qualifications: Strong experience with Domain Driven Development (DDD) AWS cloud native solution development Architecture Patterns Design and critical Thinking Financial/Insurance industry experience is a must, not a plus People Leadership Experience is a plus. Experience with agentic frameworks and AI driven development tools is a major plus [Claude Code, GitHub Copilot etc]

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 DescriptionSummaryOur client is a leading IT Solutions Company located in Roseland, NJand they are in need of a Level II IT Help Desk Support. A qualified candidate would have both proven experience with technology and outstanding personal communication skills. You should enjoy building solutions that leverage technology to meet a clients business needs. Duties & Responsibilities • Workwith sales to provide pre- and post-sales support, including tasks such as discovery meetings, site visits, proposals and presentations, technical assessments, implementation, and ongoing technical account management., • Deploying and managing Windows Servers and Active Directory, • Designing Local Area Networks, • Implementing and monitoring network security, • Optimizing and maintaining network software and hardware, • Building and deploying file servers and cloud computing solutions, • Configuring and deploying VOIP solutions, • Performing network infrastructure troubleshooting, • Manage Microsoft Exchange Server, • Telephone solutions, • Monitors alert systems and take appropriate action as per guidelines., • Ability to use various messages in an event log to affect repairs., • Receive escalated service requests requiring an enhanced response., • New User On-boardingQualifications & Requirements, • Minimum of 3 years hands-on experience configuring, troubleshooting and repairing networking equipment, Windows servers and workstations, Exchange server and Active Directory, • 3 years of experience in a client-facing environment such as sales engineering, • Excellent verbal and written communication skills and is comfortable working with clients at a business level to understand their current and historic issues regarding their business and technology, • Possesses strong organizational and time-management skills, • Experience writing proposals for and implementation of technical solutions to fulfill business needs, • Results-oriented, self-motivated, energetic, professional, reliable, and a team player, • Strong understanding of technology and business productivity systems, • Experience with RMM (remote monitoring and management) tool a plus, such as Kaseya or Connectwise., • Experience with a PSA (ticketing system) tool a plus, such as Autotask or Connectwise., • Ability to problem solve at a high level, extraordinary customer service skills, strong multi-tasking, and organizational skills, • Sales training experience is a plus, • Having worked in an MSP environment is a major plus.Ideal Qualifications (not required), • CompTIA Net+ and/or CompTIA Security+, • MCSA (Microsoft Certified Systems Administrator/Solutions Associate) or MCSE (Microsoft Certified Systems Engineer) MCITP Microsoft Certified IT Professional, MCSE (Microsoft Certified Solutions Expert), • CCNA or CCIE-Cisco certifications a real plus Our client offers challenging work, career opportunities, a pleasant work environment, and ongoing training.Employment Type: Full time Location: Roseland, NJ

Job DescriptionSummaryOur client is a leading IT Solutions Company located in Roseland, NJ and they are in need of a Level II IT Help Desk Support. A qualified candidate would have both proven experience with technology and outstanding personal communication skills. You should enjoy building solutions that leverage technology to meet a client’s business needs. Duties & Responsibilities • Work with sales to provide pre- and post-sales support, including tasks such as discovery meetings, site visits, proposals and presentations, technical assessments, implementation, and ongoing technical account management., • Deploying and managing Windows Servers and Active Directory, • Designing Local Area Networks, • Implementing and monitoring network security, • Optimizing and maintaining network software and hardware, • Building and deploying file servers and cloud computing solutions, • Configuring and deploying VOIP solutions, • Performing network infrastructure troubleshooting, • Manage Microsoft Exchange Server, • Telephone solutions, • Monitors alert systems and take appropriate action as per guidelines., • Ability to use various messages in an event log to affect repairs., • Receive escalated service requests requiring an enhanced response., • New User On-boardingQualifications & Requirements, • Minimum of 3 years hands-on experience configuring, troubleshooting and repairing networking equipment, Windows servers and workstations, Exchange server and Active Directory, • 3 years of experience in a client-facing environment such as sales engineering, • Excellent verbal and written communication skills and is comfortable working with clients at a business level to understand their current and historic issues regarding their business and technology, • Possesses strong organizational and time-management skills, • Experience writing proposals for and implementation of technical solutions to fulfill business needs, • Results-oriented, self-motivated, energetic, professional, reliable, and a team player, • Strong understanding of technology and business productivity systems, • Experience with RMM (remote monitoring and management) tool a plus, such as Kaseya or Connectwise., • Experience with a PSA (ticketing system) tool a plus, such as Autotask or Connectwise., • Ability to problem solve at a high level, extraordinary customer service skills, strong multi-tasking, and organizational skills, • Sales training experience is a plus, • Having worked in an MSP environment is a major plus.Ideal Qualifications (not required), • CompTIA Net+ and/or CompTIA Security+, • MCSA (Microsoft Certified Systems Administrator/Solutions Associate) or MCSE (Microsoft Certified Systems Engineer) MCITP Microsoft Certified IT Professional, MCSE (Microsoft Certified Solutions Expert), • CCNA or CCIE-Cisco certifications a real plusOur client offers challenging work, career opportunities, a pleasant work environment, and ongoing training.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

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.

Description Leidos is seeking an experienced Senior Delivery Engineer/Architect for our Resilient Network Practice. This position and work will be in Newark, NJ; open to candidates within a broader radius who can reliably travel to support onsite work in Newark. POSITION SUMMARY: The successful candidate will be responsible for providing hands on technical expertise with Mission Drivers within the Network Practice of the Digital Modernization (DigMod) Sector. As a Network Practice Sales Engineer/Architect , you'll be a critical bridge between technical expertise and business development. Your role will focus on promoting Leidos Network solutions to federal clients, ensuring alignment with their needs and driving successful adoption of Leidos Mission Drivers. Duties may include developing innovative approaches and solutions, using non-quantitative tools and guidelines from experience. CLEARANCE REQUIREMENT: No initial clearance is required to start; however, you must be able to obtain and maintain a DoD Secret security clearance. (US Citizenship required). PRIMARY RESPONSIBILITIES: Technical Expertise: • Maintain a deep understanding of network technologies (e.g., IaC, SD-WAN, wireless, NFV)., • Maintain a deep understanding of Leidos Network Mission Drivers and be able to articulate technical benefits, features, and use cases to potential clients., • Stay informed about network trends, competitive landscape and emerging technologies to effectively position Leidos capabilities and offerings., • Lead strategic initiatives to enhance the Leidos offerings portfolio, leveraging your deep technical knowledge and industry insights. Client Engagement: • Be the Network Practice Area technical Sales Engineer/Architect that works with Leidos DigMod Sector CTO, Business Groups and Growth to identify customer requirements and propose tailored solutions and offerings., • Direct, conduct and participate in technical presentations, demonstrations and workshops for government customers., • Work with DigMod CTO organization to leverage and create sandbox, demonstration environments for hosting Network Practice repeatable offerings., • Develop and maintain high-level relationships with key stakeholders and decision-makers to drive strategic opportunities and long-term partnerships., • Provide consulting and thought leadership to influence client decision-making and drive project success. Solution Architecture: • Partner with Leidos capture teams, solutions architects, and engineers to design secure, resilient, and scalable networking solutions that meet customer requirements, including MPLS-based transport, carrier-neutral facility interconnects, SD-WAN overlay architectures, and wireless access technologies, tailoring repeatable offerings accordingly., • Architect enterprise and mission-scale network solutions leveraging multi-cloud connectivity patterns, including hybrid and cross-cloud networking, secure cloud on-ramps, and integration with carrier-neutral data center ecosystems to support federal mission needs., • Design and oversee implementation of advanced segmentation strategies, including micro-segmentation and policy-based network controls, to enhance security posture, zero trust alignment, and workload isolation across on-premises, cloud, and edge environments., • Develop and implement innovative solutions to address complex technical challenges across multiple sectors, applying deep expertise in SD-WAN overlays, wireless technologies, and multi-transport networking using creative problem-solving and advanced technical judgment., • Architect and govern the delivery of enterprise-scale network solutions, ensuring alignment with organizational strategy, client mission objectives, and evolving technology standards., • Champion network architecture best practices and drive continuous improvement of Leidos Network Practice offerings based on market trends, emerging technologies, and client feedback., • Serve as the lead technical contributor for proposal and RFx efforts, with primary responsibility for solution architecture, technical narratives, and pricing inputs related to network transport, cloud connectivity, and security segmentation strategies., • Deploy, maintain, and demonstrate Network Practice Repeatable Offerings, including SD-WAN, multi-cloud connectivity, wireless, and micro-segmentation capabilities, to internal business areas and current and prospective customers. Collaboration: • Collaborate with practice area team members, client stakeholders, and external partners, including sub-contractors and suppliers, to ensure effective communication and project alignment., • Influence practice area and sector leaders on solution design and process improvements, advocating for strategic approaches and best practices., • Lead cross-functional teams to drive alignment and ensure the successful delivery of complex, multi-dimensional projects. BASIC QUALIFICATIONS: • Master's degree with minimum of 15+ years in network architecture or engineering roles, with a robust background in designing, implementing, and optimizing solutions in network environments; additional years of experience may be substituted in lieu of degree., • Extensive experience in NMS, multi-transport, and infrastructure-as-code concepts., • Demonstrated expertise in designing and deploying scalable infrastructure incorporating cloud environments using both established and cutting-edge technologies., • Proven track record of resolving complex technical challenges in Network architectures., • Strong leadership skills with a successful track record of leading teams in the implementation of Network solutions, fostering collaboration and innovation., • Ability to effectively manage projects, prioritize tasks, and meet deadlines in dynamic Network environments. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $139,100.00 - $251,450.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Description JOB SUMMARY Our team is dedicated to ensuring our Clients' satisfaction remains our top priority. The role of the Senior Helpdesk Engineer is crucial in achieving this objective. This individual is responsible for handling escalated support requests within the Service Delivery Team, addressing issues that the Junior Helpdesk Technician may find challenging. The Senior Helpdesk Engineer collaborates with the Service Delivery Manager for guidance and support when necessary. RESPONSIBILITIES & TASKS Customer Service • Address and resolve escalated Helpdesk Tickets promptly., • Strive to provide Clients with a positive, efficient, and supportive experience., • Offer advanced remote troubleshooting assistance to Clients., • Utilize our Ticketing System to manage and resolve Helpdesk Tickets and Service Requests., • Maintain thorough records of all work within our Ticketing System., • Ensure the proper maintenance of Client Documentation., • Separate tickets with multiple issues into individual tickets., • Review the RMM dashboard and implement remedial actions as per our established processes., • Escalate tickets requiring Service Delivery Manager support., • Keep Clients informed of the status of their tickets at each stage and notify them of any changes or outages related to their issue., • Submit Timesheets & Expense reports as outlined in SOPs., • Mentor Junior Service Team Members., • Adhere to the schedule provided by the Service Delivery Manager or Service Coordinator / Dispatcher., • Follow Standard Operating Procedures (SOPs) for daily and weekly recurring tasks., • Comply with all security procedures and remain vigilant for security issues., • Identify opportunities for improvement and provide constructive suggestions for change., • Contribute effectively to the process of innovative change. Desired • Strong problem-solving abilities., • Excellent communication skills, emphasizing active listening., • Advanced knowledge of support tools, techniques, and technology used for service provision., • Proficiency in operating systems, business applications, printing systems, and network systems., • Advanced diagnostic skills for technical issues related to end-user hardware, software, and network devices., • Extensive experience and knowledge of working with the Microsoft 365 Platform., • Proficient in quick and accurate typing while engaging in phone conversations., • Passion for delivering exceptional Client Experiences., • Advanced understanding of IT Applications, Software, and Hardware., • Ability to communicate effectively in both technical and layman's terms., • Strong motivation to excel in a fast-paced IT environment., • Experience with Ticketing systems, RMM Tools, and PSA software., • Experience providing remote support., • Handling of Technical Service Tickets., • Professional IT Certifications such as Microsoft MCP, MCSA, or MCSE, ITIL, ITSM, etc., • Client Experience Certifications such as Helpdesk Habits, etc. For individuals seeking career advancement, the Senior Helpdesk Engineer role naturally leads to positions such as Service Delivery Manager or CTO. Company DescriptionAbout J. Harte Associates LLC J. Harte Associates LLC is a growing Managed Services Provider (MSP) based in Southern New Jersey, focused on helping businesses run smarter, safer, and more efficiently through technology. We believe great IT starts with great people. Our culture is built on: Clear and honest communication A commitment to continuous learning Supporting one another to improve every day Our team works closely with clients to solve real business problems—not just technical ones. From cybersecurity to cloud solutions, we act as trusted advisors, not just service providers. If you're looking to be part of a team where your ideas matter, your growth is supported, and your work has real impact, J. Harte Associates is the place for you.About J. Harte Associates LLC\r\nJ. Harte Associates LLC is a growing Managed Services Provider (MSP) based in Southern New Jersey, focused on helping businesses run smarter, safer, and more efficiently through technology.\r\n\r\nWe believe great IT starts with great people. Our culture is built on:\r\n\r\nClear and honest communication\r\n\r\nA commitment to continuous learning\r\n\r\nSupporting one another to improve every day\r\n\r\nOur team works closely with clients to solve real business problems—not just technical ones. From cybersecurity to cloud solutions, we act as trusted advisors, not just service providers.\r\n\r\nIf you're looking to be part of a team where your ideas matter, your growth is supported, and your work has real impact, J. Harte Associates is the place for you.

• 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

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

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.

Our client, a leading organization in enterprise infrastructure and cloud solutions, is seeking an Infrastructure Engineer to join their team.As an Infrastructure Engineer, you will be part of the LEANQG - SOFTWARE-DEFINED NETWORK team supporting critical infrastructure projects.The ideal candidate

Insight Global is looking for a Google Cloud Engineer to join one of our largest financial clients in Jersey City, NJ or Pittsburgh, PA. This role involves designing, developing, and deploying cloud solutions with a focus on infrastructure as code, cloud migrations, and integration with security fra

Hands-On coding in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka. Hands-On coding in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka.

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

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

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

Job Description Job Title: QA Lead / Senior Quality Assurance Engineer Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate: 45$/Hr on 1099/ C2C Overview We are seeking an experienced and detail-oriented Senior QA Engineer to drive quality strategy, test planning, and execution across multiple product teams. This role requires strong technical expertise in both manual and automated testing, leadership capabilities, and the ability to ensure delivery of high-quality, reliable software. The ideal candidate is proactive, collaborative, and passionate about building scalable QA processes. Key Responsibilities • Lead overall QA strategy, planning, and execution across multiple teams or product releases., • Design, develop, and maintain automated test scripts for regression, integration, and functional testing., • Perform manual testing to validate new features, user workflows, usability, and edge cases., • Test vulnerability fixes and ensure the application works as expected, validating that security patches do not introduce regressions or impact existing functionality., • Collaborate closely with developers, BAs, and Product Owners to define clear acceptance criteria and ensure thorough test coverage., • Establish and govern QA processes, standards, and best practices across teams., • Review and analyze requirements, specifications, and technical design documents for clarity, completeness, and testability., • Maintain and improve automation frameworks, integrating them seamlessly with CI/CD pipelines., • Identify, document, prioritize, and track software defects, partnering with engineering teams for timely resolution., • Mentor and guide junior QA engineers in both manual and automation testing techniques. Required • 5+ years of experience in software QA, including 2+ years in a lead or senior QA role., • Strong experience in both manual and automated testing for web or API-based applications., • Hands-on expertise with automation tools such as Selenium, Cypress, Playwright, or Postman., • Solid understanding of QA methodologies, SDLC, and Agile/Scrum practices., • Proficiency with scripting languages such as Python, JavaScript, or Java for automation., • Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps., • Excellent analytical, debugging, and problem-solving skills., • Strong communication and collaboration abilities., • Experience with API testing and performance testing tools such as JMeter or LoadRunner., • Knowledge of version control systems, particularly Git., • Experience testing in AWS or other cloud environments., • Demonstrated leadership and mentorship within cross-functional teams., • High attention to detail with a passion for delivering high-quality, reliable software., • Ability to balance strategic QA oversight with hands-on participation., • Strong communication skills, able to translate technical issues into clear business outcomes.

Job DescriptionSr. Azure DevSecOps Engg. Location - NJ Need 2-3 days onsite ( Hybrid ) . Need candidates only with 12 + years experience . No H1B Transfer Candidates OR OPT/CPT This is a DevSecOps Role and not DevOps. Strong Azure Services, SAST/DAST , GitHub, Kubernetes, AKS , Terraform and Python Scripting experience is required. Our client is seeking a highly skilled DevSecOps Engineer to design, build, and maintain secure and scalable CI/CD pipelines for application and database deployments. Key Responsibilities: Design and maintain CI/CD pipelines for applications and databases using tools such as Azure DevOps, Jenkins, Smart City, GitLab CI, or GitHub Actions. Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or Helm. Integrate automated testing frameworks (junit, Slenium etc) and code coverage tools (e.g., SonarQube etc). Embed static and dynamic security scanning tools (SAST/DAST) into pipelines. Implement and monitor database CI/CD workflows for version-controlled schema migrations. Ensure secure secrets management using Azure Key Vault. Continuously monitor pipeline performance and enforce compliance, code quality, and security policies. Collaborate with application and database developers to optimize release strategies and rollback mechanisms. Conduct incident response drills, threat modeling, and vulnerability assessments within CI/CD contexts. Document DevSecOps processes and provide training to development teams on security and best practices. Required Skills & Experience: Proven experience with DevSecOps practices and tools. Proficiency in CI/CD platforms like Azure DevOps, Smart City, GitHub Actions, GitLab CI, or Jenkins. Solid understanding of cloud platforms (Azure, ). Experience with IaC tools like Terraform, CloudFormation. Strong background in code testing frameworks and code quality tooling (JUnit, SonarQube, etc.). Hands-on with database CI/CD, schema versioning, and database migration practices. Experience with containerization (Docker) and orchestration (Kubernetes, AKS). Familiarity with secure coding principles and compliance standards. Strong scripting skills in Python, Bash. Preferred Qualifications: Certifications: Azure DevOps Engineer. Experience with monitoring and observability tools. Experience in multi-cloud or hybrid-cloud DevSecOps pipelines. Familiarity with data masking, auditing, and encryption in the database CI/CD context. Flexible work from home options available.

Job Description * Candidates with fake experience are advised not to apply. To avoid fake experiences, if the client decides to interview you, they will validate all previous experiences for all projects as well as work documents (h1B, EAD, GC). Please be prepared to provide these. Any fraudulent document will be forwarded to USCIS fraud division by default. This job is hybrid in Newark NJ This position will be hybrid in NJ Transit HQ, 283-299 Market St. Newark, NJ 07102 Our direct client has an opening for Cloud Infrastructure Engineer (759097) This position is for 6 months, with the option of extension, and is the client is located in Trenton, NJ WE CAN WORK CORP TO CORP OR W2. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Experience planning and executing migration of on-premises to cloud based server environments Required 6 Years Azure, AWS, Microsoft Required 6 Years Linux server environments and OS installation & management. Required 6 Years Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere Required 6 Years DevOps toolsets, such as GitHub, Terraform and Ansible. Required 6 Years

Job DescriptionJob Description Role: Senior Platform Engineer Duration: 6+ Months Location: New Jersey (Hybrid) Job Summary: We are seeking a Senior Platform Engineer with 14+ years of experience in DevOps/DevSecOps and platform engineering to design, build, and automate enterprise container and middleware platforms. The role involves architecting scalable solutions, supporting Kubernetes environments, and driving automation. Key Responsibilities: • Design and implement scalable and highly available platform solutions., • Build and maintain CI/CD pipelines for containerized applications., • Manage Kubernetes platforms (OpenShift preferred; EKS/AKS/GKE acceptable)., • Implement and manage Service Mesh technologies such as Istio., • Automate infrastructure using Terraform (IaC)., • Implement monitoring, logging, and alerting for platform reliability., • Collaborate with security teams to implement DevSecOps practices., • 14+ years of IT experience in Platform Engineering / DevOps., • Strong experience with Kubernetes/OpenShift and containers (Docker/Podman)., • Experience with CI/CD tools (Jenkins, Git, etc.)., • Hands-on experience with Istio Service Mesh., • Experience with Terraform (Infrastructure as Code)., • Cloud experience with AWS (preferred) or Azure., • Scripting skills (Shell, Python, Groovy, or PowerShell)., • Experience with IBM Event Streams, IBM MQ, or IBM App Connect., • Knowledge of IBM CloudPak or WebSphere products.Additional Information All your information will be kept confidential according to EEO guidelines.

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 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 Job Title: Java/Node.js Engineer – Security Remediation & Technical Debt Automation Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate : 55-60$/Hr on 1099 / C2C About the Role We are seeking a highly skilled Java/Node.js Engineer with expertise in application security remediation, technical debt reduction, and automated vulnerability fixes. This role involves identifying, triaging, and remediating security vulnerabilities across Java, Node.js, Ruby on Rails, and WordPress applications. You will also drive automated remediation workflows and work with Generative AI tools (e.g., AWS Bedrock) to accelerate secure coding and vulnerability fixes. This position requires collaboration with InfoSec, QA, DevOps, Architecture, and development teams to continuously improve our security posture. Key Responsibilities Vulnerability Remediation & Secure Coding • Analyze, triage, and remediate vulnerabilities identified through SAST, DAST, and SCA tools (SonarQube, Veracode, Checkmarx, Snyk, OWASP ZAP)., • Refactor insecure Java, Node.js, Ruby on Rails, and WordPress codebases to fix issues such as:, • SQL Injection, XXE, XSS, • CSRF, SSRF, • Insecure Deserialization, • Authentication & session management flaws, • Path traversal or file upload vulnerabilities, • Patch and upgrade vulnerable third-party dependencies (Maven, Gradle, npm, Bundler, Composer) and validate remediation results., • Harden and secure configurations across:, • Spring Boot APIs, • Node.js/Express.js services, • Ruby on Rails frameworks, • WordPress environments and plugins, • Integrate security checks and automated remediation into CI/CD pipelines (Jenkins, GitHub Actions)., • Build or enhance AI-driven security workflows using AWS Bedrock or equivalent GenAI platforms:, • Auto-generate secure code patches, • Summarize vulnerability reports, • Suggest prioritized fixes, • Provide real-time security recommendations for developers, • Identify and fix legacy security issues across Java, Node.js, Rails, and WordPress applications., • Modernize outdated components, remove deprecated libraries, and refactor insecure patterns., • Work closely with InfoSec and QA teams to validate fixes, perform rescans, and close vulnerability tickets., • Partner with development teams to promote secure coding best practices., • Stay current on OWASP Top 10, CWE/SANS 25, CVEs, and emerging security threats across multiple tech stacks. Required Skills • Strong hands-on experience with Core Java, Spring Boot, REST APIs, Tomcat, and secure Java coding., • Proficiency in Node.js, Express.js, JavaScript/TypeScript., • Exposure to Ruby on Rails and WordPress, with the ability to assist in vulnerability remediation and secure configuration., • Strong understanding of application vulnerabilities and mitigation techniques (e.g., XSS, CSRF, SQL Injection)., • Experience with Veracode, Checkmarx, SonarQube, Snyk, or similar scanning tools., • Familiarity with OAuth2/JWT, encryption, secure session management, and API security., • Experience with Docker, Kubernetes, Linux hardening, and AWS cloud security., • Experience using or integrating Generative AI (AWS Bedrock, CodeWhisperer) in security workflows., • Experience with microservices, API gateways, and cloud-native security., • Understanding of OWASP ASVS, threat modeling, and DevSecOps best practices., • Experience with automating remediation workflows using GenAI., • Strong analytical, debugging, and problem-solving skills., • Excellent communication and documentation abilities., • Collaborative mindset with the ability to work across security, development, and DevOps teams., • Self-driven, proactive, and detail-oriented with a commitment to secure, high-quality code.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Security Specialty Solutions Engineer (SSE) will be focused on security technologies and solutions. The SSE is considered a subject matter expert in this area, with responsibility for selling and designing complex security solutions. The SSE is also considered an organizational thought leader for security within the company. You will work in partnership with sales representatives, practice leaders, and other SSE team members to build a market strategy and assist with account planning for existing and prospective clients. As part of this strategy, you will help sales representatives identify potential security technologies and vendors to partner with for individual clients or in a given region. You will assist with driving this strategy throughout a given campaign. In partnership with other senior and principal SSEs in your practice, you will assist with diagrams, bill of materials, proposal content, and other documentation associated with active security sales campaigns. You will also assist with achieving the proper training and certifications necessary to sell the security solutions we are positioning. Time management and prioritization are essential attributes to be successful. In this capacity, you will work to define security strategies, compare and contrast alternative approaches, and build key relationships, as well as size and configure security products. Positioning and leveraging subject matter experts and other AHEAD consultants is a necessity to scale your effectiveness within accounts. Roles and Responsibilities • Active participation in the AHEAD Security team and related virtual teams., • Be a thought leader within the Solutions Engineering organization, responsible for designing, architecting, and, at times, consulting for AHEAD clients in the security domain., • Build skills, relationships, and industry credibility across many segments to drive product, services, and consulting sales in the security space., • Support the sales teams during engagements by providing advice, solutions, or proposals optimized to meet customer technical and business requirements., • Develop relationships with other Security SSE team members, leaders, and partners in support of sales objectives., • Strategize and execute technical sales calls., • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately., • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding., • Present and market the design and value of proposed AHEAD security solutions and business justifications to customers, prospects, and AHEAD management., • Participate in the mentorship of entry-level team members., • Possess strong, detailed product/technology/industry knowledge in the security domain., • Knowledge of job-associated software and applications. Qualifications, • Experience with any SASE vendor is a significant differentiator, • 3 – 5 years technical experience with security controls in one or more areas such as: Firewalls, IDS/IPS, NTA, NDR, NGAV, EDR, SIEM, Vulnerability Scanning, DLP, Penetration Testing, • Experience in architecture design that brings together and integrates solutions across multiple vendors, • 3 - 5 years acting as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development., • Familiarwith Public Cloud providers: AWS, Azure, GCP, • Ability to grasp new technology concepts quickly and assist others in understanding them as well., • Ability to evaluate new technologies and provide internal training, • Ability to understand customer needs, define requirements, and design solutions, • Ability to develop and present architectural recommendations and implementation/ assessment services, • Expertise with Vendor Configuration Tools Preferred Skills, • Excellent written and verbal communication skills, • Excellent presentation skills, • Strong Technical Aptitude, • Provide technical leadership assuring quality, maximizing team output, • Self-motivated Preferred Certifications, • Industry: CISSP, CISA

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 DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Job Title: Senior Enterprise Applications Engineer Location: Secaucus, NJ (Hybrid) Salary: $160K – $185K + Bonus High End Fashion Apparel company seeks Senior Enterprise Applications Engineer to join their Team! Responsibilities · Serve as senior technical owner for the Salesforce Commerce Cloud conversion to Shopify Plus replatform from an enterprise integration perspective. · Design, build, and debug Shopify Plus integrations across ERP, OMS, POS, financial systems, and downstream analytics platforms. · Own production stability during cutover and post-launch, acting as Tier-3 escalation for cross-system incidents. · Share responsibility with the development and integrations team for existing enterprise integrations beyond Shopify. · Build and maintain APIs, middleware, automation, and backfills supporting enterprise workflows. · Partner closely with the Enterprise Applications Support team to ensure clean escalation paths and durable fixes. · Work closely with BI & Analytics to validate data flows, reconcile system-of-record discrepancies, and remediate upstream integration issues. · Use SQL-based analysis to ensure operational and financial data accuracy across systems. · Serve as the senior escalation point for complex integration and platform issues. · Cross-train development, integration, and support teams on Shopify Plus integrations and enterprise patterns. · Establish documentation, standards, and repeatable support models to reduce single-point-of-failure risk. · Qualifications · Demonstrated, hands-on experience with Shopify Plus, including production integrations with ERP, OMS, POS, or financial systems. · Senior-level experience building and supporting enterprise integrations using APIs and event-driven architectures. · Strong SQL skills for data validation, reconciliation, and debugging across systems of record. · Strong experience with Python for integrations, automation, backfills, and data processing. · Experience acting as an escalation point for production incidents involving multiple systems. · Experience with .NET in ERP environments (e.g., BlueCherry or similar). · Retail, ecommerce, or omnichannel business experience. · Experience working alongside external agencies during platform implementations. · Experience working with dbt and modern ELT/data transformation tools (e.g., dbt Cloud, Fivetran, Airflow or similar), including supporting and troubleshooting downstream analytics and data models.

Job Description Job Description: Palantir Data Engineer We are seeking a seasoned Data Engineer with 3-7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP. The ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus. Location – Jersey City, NJ Key Requirements • 3-7 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms., • 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications., • Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript., • Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript., • Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift)., • Deep understanding of microservices architecture and distributed systems., • Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines., • Experience with big data technologies like Snowflake., • Strong problem-solving and performance optimization skills., • Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes., • Experience working in agile environments delivering complex data engineering solutions., • Palantir Foundry certification or demonstrated project experience is highly preferred., • 3+ years of work experience with Data Engineering, • 2+ years of work experience with Palantir, • 3+ years of work experience with Python (Programming Language)

Job Description Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Director of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility 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 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 Location: New York Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a high-growth AI cybersecurity company backed by top-tier investors and strategic AI leaders. The company is building the security layer for the AI era, protecting enterprises against AI-powered threats such as deepfakes, smishing, and synthetic voice attacks. Following a major Series B funding round led by industry-leading AI and venture partners, the company is entering a critical growth phase. Trusted by major banks, technology companies, and healthcare organizations, they are scaling rapidly to meet enterprise demand in a $200B+ market opportunity. We are looking for a Head of Machine Learning to define and build the companys ML capabilities from the ground up. ML is central to the product vision. This role is not about incremental optimization — it is about owning the strategy, infrastructure, and execution of machine learning across the organization. There is currently no dedicated ML infrastructure or ML team. You will establish the foundations: define where ML drives product value, design production systems end-to-end, and set the technical direction for how ML evolves across the company. This is a high-impact, highly autonomous role suited for someone who has built ML systems in production and is ready to architect an ML function from zero to scale. What Youll Do * Define the companys ML strategy: where ML should be applied across products, what infrastructure is required, and how to approach build vs. buy decisions. * Design and build production ML systems end-to-end — including data pipelines, model training workflows, evaluation frameworks, and inference serving. * Establish rigorous evaluation methodology to measure model quality, detect regressions, and support data-driven iteration. * Own the data strategy: determine what data is needed, how it should be labeled, how feedback loops are structured, and how models continuously improve. * Partner closely with product and backend engineers to integrate ML into customer-facing systems. * Write production-quality code within the existing codebase and contribute to architectural decisions. * Over time, help recruit, mentor, and lead the ML team as the function expands. What Were Looking For * 8+ years of experience building ML systems in production environments. * Experience standing up ML infrastructure at an early-stage startup or serving as the senior/lead ML engineer at a company. * Strong software engineering fundamentals with production experience in languages such as Python, Java, or TypeScript. * Experience with cloud-based ML infrastructure (e.g., SageMaker, Bedrock, Modal, Baseten, or similar platforms). * Hands-on experience with ML and data frameworks such as PyTorch, TensorFlow, Spark, or equivalent tools. * Comfortable working across the stack — infrastructure, backend systems, and data platforms. * Demonstrated ability to mentor engineers and elevate technical standards within a team. * High autonomy and ownership mindset, with the ability to define direction and execute without predefined playbooks. Bonus Points * Experience building ML systems for security, fraud detection, or adversarial environments. * Experience working with LLMs in production (evaluation, fine-tuning, retrieval systems, guardrails). * Background in real-time inference systems or high-throughput distributed systems. * Experience making strategic build vs. buy infrastructure decisions. * Previous startup experience in high-growth environments. Why This Role Will Pivot Your Career * Strategic AI backing: Supported by leading AI and venture investors shaping the future of AI infrastructure and cybersecurity. * Founding-level impact: Build and define the ML function from zero in a company where ML is core to product value. * Enterprise traction: Products already trusted by major banks, tech firms, and healthcare organizations. * Massive market opportunity: Positioned in a rapidly expanding AI cybersecurity space. * Leadership path: Opportunity to evolve into Head of ML as the organization scales. * Ownership & autonomy: Direct influence over architecture, infrastructure, and long-term technical direction. Benefits * Competitive salary & equity options * Health, Dental, and Vision * 401k * Hybrid flexibility 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 Our client, a leading provider of two-way radio communication, is searching for a Presale Systems Engineer. This role partners closely with our clients customers and sales team, delivering customer-driven, world-class, leading-edge, end-to-end solutions that rise to the challenges of first responder, government, and non first responder customers, within the State & Local Public Safety, Law Enforcement, School, & Hospital customer base. The Presale Systems Engineer is the overall owner of a solution's technical design, ensuring our client meets their customers' needs. The pre-sale engineer supports the entire ecosystem and concentrates on the following mission-critical technologies at various levels of complexity: Public safety grade mobile voice and data networks, Advanced mobile devices, Public safety mobile broadband networks and devices, Integrated command and control software, Mobile and fixed video solutions. Responsibilities Include: * Customer requirements discovery * Technology strategy development * End-to-end system architecture design * Proposal development * Internal/external technical presentations * Equipment and software solution demos, including configuration and testing You might be the RIGHT person if you are/have: * General knowledge of wireless communications fundamentals (especially Motorola) and voice/data architectures - both public and private (e.g. APCO P25, LTE,) * General knowledge of Cloud, IP networking architecture, protocols and security * Knowledge of RF coverage predictions, microwave design, traffic/capacity modeling, and related toolsets an asset * Bachelor's Degree in Engineering required, preferably Electrical or Computer Engineering * Strong communications skills with the ability to present complex topics to technical and non-technical audiences * Ability to build strong relationships with internal and external stakeholders * Ability to work in the NY/NJ Metro area office a minimum of 3 days a week * Must be a U.S. Citizen Compensation: * Base salary 70-120K BOE * Incentive Bonus Plans * Medical, Dental, Vision benefits * 401K * Paid Holidays & Generous PTO Master Search Solutions is a direct hire recruiting firm that specializes in the New Jersey marketplace. We have over three decades of experience connecting top talent with leading businesses.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

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 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 Be Part Of A High-Performing Team: Join a globally recognized financial services organization operating at the forefront of banking innovation and technology. This team supports critical systems across the Americas division, delivering scalable, secure, and data-driven solutions that power enterprise-level financial operations. The environment is highly collaborative, fast-paced, and focused on engineering excellence, with strong emphasis on reliability, performance, and modern development practices. Teams work cross-functionally with stakeholders across business and technology to deliver impactful solutions that drive operational efficiency and innovation. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on enterprise-scale financial systems and APIs, • Exposure to modern backend development, cloud, and data-driven applications, • Design, build, and maintain scalable backend systems and APIs using Python, • Develop robust server-side applications supporting critical business workflows, • Integrate databases, third-party services, and internal platforms, • Collaborate with cross-functional teams to translate business requirements into technical solutions, • Ensure code quality through testing, debugging, and adherence to best practices, • Contribute to CI/CD pipelines and participate in code reviews to improve team standards, • 10+ years of experience in software development with strong Python expertise, • Proven experience building and maintaining RESTful APIs and backend services, • Solid understanding of data structures, algorithms, and object-oriented programming, • Experience with database integration (SQL/NoSQL) and data-driven applications, • Familiarity with version control systems (e.g., Git) and collaborative development workflows, • Exposure to cloud platforms, DevOps tools, or frontend technologies is a plus, • Strong analytical thinking, problem-solving skills, and ability to work independently or in agile teams, • Excellent communication skills and ability to collaborate across technical and business teams