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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.

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]

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

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 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.

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.

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

Professional certifications in major cloud providers for security such as AWS Certified Security – Specialty, Microsoft Certified: Cybersecurity Architect Expert or Azure Security Engineer Associate and other related certificates such as Certified Information System Auditor (CISA), Certified Infor

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 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.

Manage scalable cloud solutions, optimize systems, and ensure security compliance.As a Cloud Engineer, you will design, implement, and optimize cloud-based solutions, ensuring scalability, security, and efficiency.You will collaborate with cross-functional teams to drive innovation and deliver world

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.

Job Description Be Part Of A High-Performing Team: Join a large, globally recognized financial services environment where cybersecurity, data governance, and operational resilience are mission-critical. This team sits at the intersection of information security, insider risk, and data engineering, supporting initiatives that strengthen enterprise protection through better visibility, centralized governance, and scalable data platforms. The environment is collaborative, delivery-focused, and highly cross-functional, with close partnership across security engineering, data operations, and business-aligned data owners. This role offers the chance to contribute to a high-impact modernization effort focused on building a more unified and actionable cybersecurity data ecosystem. What’s In Store For You: Engagement: W2 only (no C2C/1099) This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership. How You Will Make An Impact: • Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse, • Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains, • Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions, • Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem, • Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations, • Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes, • Support data quality, security, compliance, and operational reliability across the Azure data platform, • 10+ years of experience in data engineering, data platform development, or related enterprise data roles, • Strong hands-on experience building Azure data solutions in complex production environments, • Proven expertise with Azure Synapse, Azure Data Factory, and Databricks, • Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows, • Strong understanding of data governance, data security, and compliance considerations in regulated environments, • Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations, • Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments, • Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting, • Azure certifications are valued, • Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred

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 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 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 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 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 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 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 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. uTcySEhbfw

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

Job DescriptionOur client, a highly respected A-rated insurance carrier, is seeking a seasoned Senior Software Engineer (.NET / Azure) to join their growing IT department. This is a unique opportunity to play a key role in driving cutting-edge digital transformation initiatives within a leading organization in the Property & Casualty Insurance industry. The ideal candidate will bring deep technical expertise, innovative problem-solving skills, and the ability to collaborate effectively across teams. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Design, develop, and deploy enterprise-level applications using Microsoft development tools and frameworks., • Participate in full lifecycle development efforts, ensuring scalability, performance, and security best practices are followed throughout., • Leverage Microsoft Power Platform tools to streamline and optimize business processes., • Collaborate closely with business stakeholders, IT leadership, and cross-functional teams to align software solutions with organizational goals., • Contribute to architectural decisions, conduct code reviews, and provide technical guidance to peers., • Research and evaluate emerging technologies, recommending strategic solutions that advance the company’s digital initiatives., • Maintain high standards of software quality, reliability, and maintainability through consistent best practices and documentation.Qualifications/Requirements:, • 5- 10+ years of practical, hands-on development experience with C#, .NET, and Azure., • Hands-on experience designing and delivering cloud-based solutions within the Microsoft Azure ecosystem, including services such as App Services, Functions, Azure DevOps, Azure SQL, and other platform or infrastructure offerings., • Current Microsoft Azure certification is a plus., • Strong development background using C# and SQL, with practical experience working in SQL Server environments and management tools., • Advanced, in-depth expertise with Microsoft Power Platform tools, including Power Apps, Power Automate, and Dataverse. Background working with applications in the property and casualty insurance sector highly preferred., • Demonstrated success building scalable back-end services, including the design and implementation of RESTful APIs and layered API architectures (process- and experience-level APIs)., • Bachelor’s degree in Computer Science, Software Engineering, Information Science, or a related technical field from an accredited U.S. institution.Salary/Benefits:, • $175,000 - $200,000+ annual base salary plus 10-20% bonus, • Ability to work remotely, • Extremely competitive Medical, Dental, Vision, and Life plans, • Employer-matching 401(k) plan, • Lucrative PTO plan, • Succession Planning and tremendous Advancement Potential

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

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