Cloud support engineer jobs in Elizabeth, New JerseyCreate job alerts

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Selective Insurance is seeking an energetic and collaborative Data Engineer Specialist to work on Data and Analytics projects supporting the Claims Analytics team within the Information Management group. This group is responsible for all Data Engineering, Machine Learning Engineering, Analytics and Reporting for the Claims business area. The candidate must be hands-on with expert technical skills and a proven track record of project delivery. Responsibilities • Hands on development and support of new or existing data applications., • Works closely with the lead to create/review low level implementation designs, understand high level data flow designs developed by Data Architects., • Provide technical guidance to the team and work on implementing complex data solutions., • Provide support in the design, development, code reviews, test deploy and documentation of Data Engineering and Data Integration Applications., • Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments., • Provide technical leadership and mentor junior data engineers., • Work closely with Product Owners, Product Managers, Program Manager, Scrum Master, and Team Members in a Scaled Agile framework., • Closely monitor the health of data pipelines and develop contingency plans for failures., • Maintain detailed documentation to support downstream integrations., • 5-7 of experience in Data Warehousing, Data integration or Data Engineering projects, • Ability to effectively work well with people in other departments and/or outside of the enterprise., • Expert-level proficiency inPython, SQL, and Spark; strong experience withcloud platforms(Azure, AWS, or GCP)., • Expert level experience in Databricks and Delta Lake., • Proven track record of buildingenterprise-scale data platformssupporting advanced analytics and machine learning., • Experience withstreaming architectures(Kafka, Kinesis) andevent-driven data processing., • Strong knowledge ofdata security, encryption, and access controlin regulated environments., • Advanced working knowledge of SQL and optimizing queries and databases for performance., • Ability to debug and resolve complex issues internally and work with external vendors and service providers., • Good understanding and hands on experience in developing and managing CI/CD pipelines, • Good understanding of Data Structures and Data Models., • P&C Insurance experience is highly desired., • Bachelor's degree in computer science or related engineering field preferred., • Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $123,000.00 - USD $157,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Selective Insurance is looking for a Site Reliability Engineer (SRE) to lead the design, implementation, and optimization of scalable, resilient, and secure infrastructure systems. This role requires deep expertise in systems engineering, infrastructure automation, and reliability practices, with a strong focus performance optimization. As a technical leader, the SRE will collaborate closely with architecture and development teams to ensure solutions align with SRE principles and operational excellence. Also drive continuous improvements in system resilience, observability, security, and automation, leveraging advanced data analytics and enhance service delivery and reliability. The SRE will also serve as a trusted advisor across the organization, offering expert-level consulting in cloud infrastructure, CI/CD pipelines, monitoring, and incident response. A strong understanding of business-critical applications and alignment with organizational goals is essential, along with a commitment to compliance with legal, regulatory, and security standards Responsibilities • Define and measure service reliability through SLIs, SLOs for various application in Selective, • Leverages logs, traces, and metrics to extract actionable insights, proactively identify system anomalies, and drive continuous improvements in system health, performance, and reliability., • Perform capacity planning, conduct performance profiling, and execute system tuning to support scalability, enhance reliability, and optimize system performance across distributed environments., • Collaborate with Agile teams to ensure new features meet reliability and performance standards, • Participate in incident response, and postmortem analysis to drive continuous improvement, • Implement and maintain observability tools, • Ensure compliance with security, legal, and regulatory requirements, • 5+ years of experience in SRE, DevOps, or systems engineering roles., • Experience with CI/CD pipelines and infrastructure-as-code tools Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and paid time off plans. Additional details about our total rewards package will be provided during the recruiting process. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $119,000.00 - USD $163,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.

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

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Selective is seeking a Principal Network Infrastructure Engineer, to partner with Architects and Engineers in the IT network infrastructure, supporting our business platforms and continuously improving to meet the evolving needs of our business community. The Engineer will provide technical leadership to the team to help drive the strategic initiatives, and "Cloud First" direction of Selective Insurance. The network engineer is also required to document designs and creations and share their findings with others. Responsibilities • Provide leadership in IT for the development of highly appropriate, tightly integrated, consistently available, secure, flexible, and fault-tolerant solutions, • Ability to Design and implement standardized methodologies to deploy and maintain routing and switching, LAN/WAN, wireless network, load balancers, cloud infrastructure networking components, network monitoring tools, WAN acceleration, SD WAN and other relevant technologies, • Ability to lead network implementation by taking ownership of a project and being accountable for its success, including providing executive summary status reports, • Ability to design enterprise network routing architectures using protocols such as Open Shortest Path First (OSPF), Border Gateway Protocol (BGP), and Enhanced Interior Gateway Routing Protocol (EIGRP)., • Knowledge of SDN concepts and familiarity with Python, REST, model-driven programmability, containers and other modern aspects of network engineering, • Strong background in data center networking technologies like Cisco IOS, NXOS, Cisco VPC, Spine-Leaf designs, OTV and VXLAN layer2 extensions, etc., • Work with architecture team to prepare recommendations and supporting details for formal project proposals for network connectivity and configurations, • Perform as SME escalation in support of IT operational organization during complex highly impactful outages that can cross multiple functional domains, involving chronic recurring problems, vendor product bugs and other critical network functionality, • Ensure all engineered solutions have sufficient design documentation available including HLD and LLD documents., • Ensure all engineered solutions and features take operational needs into account and provide the Operations team with sufficient documentation, training and standard operating procedures that support daily operation, maintenance, upgrades and support escalations for the solution., • Identify areas for enhanced efficiency through automation, suggested process improvements and streamlined workflow., • College degree in Computer Science or a related field preferred., • 10 + years of relevant experience in a fast-paced, enterprise-level environment including leadership roles, • Ability to create accurate network diagrams and documentation for design and planning network layout and communication systems., • Experienced in Azure Cloud networking, • Advanced level knowledge of many of the following technologies: Cisco Catalyst and Nexus switches; Cisco routers; Cisco Meraki wireless LAN; Cisco ISE; F5 LTM, APM and iRules; Palo Alto firewalls, including Prisma Access; Cloud based technologies (Azure, AWS and GCP) is required, with a strong understanding of and experience with Azure; Palo Alto SD WAN; SolarWinds., • Network certifications required from leading network vendors: Cisco (CCNA, CCNP, CCIE); F5; Microsoft Azure., • Ability to work with vendors and research product offerings to determine appropriate solutions. Ability to review, evaluate and make recommendations on vendor SOW's, BOM's and proposals., • Demonstrated ability to successfully communicate to all levels of IT, including producing status reports interface with stakeholders and report to IT leadership., • Drive alignment of network engineering initiatives with business objectives and measurable KPIs., • Mentor and coach less senior engineers to build team capability and foster professional growth., • Champion Agile, DevOps, and modern delivery practices within network engineering projects., • Engage proactively with business stakeholders and cross-functional teams to ensure solutions meet enterprise needs., • Lead innovation efforts by identifying technical debt, proposing modernization strategies, and implementing automation., • Collaborate with leadership to define success metrics and report progress against KPIs., • Promote diversity, equity, and inclusion within the team and contribute to an inclusive culture., • Advocate continuous learning and career development opportunities for team members. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $150,000.00 - USD $192,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Posting Type Hybrid Job Overview AtRelativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects. The Product Management team is looking for aGroup Product Managerwith strong product management and communications background to creatively solve for the needs of our customer base. You will be responsible for creating and executing a product vision for a portfolio of products. To help, you will manage a team of ProductOwnersand together you will partner on managing the full product lifecycle from strategic planning to tactical execution. A successful candidate must be energized by building deep customer empathy, collaborating with design and development, discovering opportunities through data analysis, and creating and communicating progress through leading indicators. Focused on Relativity's Data Extensibility products, you will be responsible for helping create innovative solutions which empower clients to create, manage and leverage data in RelativityOne that drive custom workflows and tailored AI solutions.You will represent the portfolio at conferences and speaking engagements as an expert in the field. You will help lead a team of skilled PMs focused creating exceptional user experiences and actualizing the vision and strategy you lay forth. This is a high-impact role for a technical product leader who deeply understands both developer and end-user workflows and the critical role custom data plays in creating AI-first platforms. You will drive the evolution of our custom data strategy in support of rapidly changing user needs and our quickly evolving platform. Job Description and Requirements Role Responsibilities Job Description and Requirements * Set Strategic Direction:Define the long-term roadmap for ourdata extensibility offeringwhichenables clients to bring incustomstrategicdatathataddsimportantcontext to their cases and drives action. * BringCustomerCentricity:Lead your team infrequentlyconnecting with the customer tocrystallizepain points andbuildroadmapswhichbalanceimmediate customerneedswithlongtermneeds of thebusiness. * ChampionDevelopersandEndUsers:Deeply understand and advocate for both developer and end user personas,ensuring Relativity builds the right APIs, tools, and UI workflows to satisfy theirdiverseneeds. * Collaborate Cross-Functionally:Work closely with peers across product, engineering,securityand finance to ensure alignment between platform capabilities and business needs; particularly close partnership with AI. * Measure and Optimize:Define key success metrics for adoption, performance, efficiency, and reliability - and drive continuous improvement through data-driven prioritization. Job Responsibilities * Craft and shape the product strategy and portfoliothat both impacts and is shaped by cloud and AI transformationwitha cohesive roadmap that encompasses product, technology, and adoption. * Clearly communicate product vision, strategy, and roadmapto a range of audiences from internal/external stakeholders, senior leaders, and customers with varying levels of technical acumen. * Lead with a data- and KPI-driven approach,utilizingboth qualitative and quantitative data from deep user, customer, market, competitiveinsightand data to articulate clear long-term product vision,identifynew strategic opportunities, and gain organizational buy-in. * Manage effectively via Objectives and Key Resultsalongside leading indicators of product health and project success; drive tactics based on insights from portfolio metrics and reporting. * Discover and deeply understand bothdeveloper and end userneedstoidentifyopportunities andproposesolutions thatexpand the value they derive from Relativity. * Craft thoughtful adoption & enablement strategiesfor successful and productive adoption ofcapabilities. * Lead research and proposals to drive build/buy/partner decisions; work collaboratively with design and development tovalidatedirection and solution; work with product marketing on go to market strategies. * Own the operation of your portfolio, including managing customer roadmaps, capturing customer feedback signals, and reporting outcomes clearly and succinctly. * Model and exemplify being a great people leaderas well as mentor and coach junior team members, help improve the team's operations, and contribute to team-wide initiatives. * Adaptableplayerandcoachfor your team members and portfolio. * Buildand owncomprehensivesolutionswhichconsistentlydelight customers,coveringeverything from product functionality tohelp documentationandSupportteaminteractions. Minimum Qualifications * 10+ years of experience in product management or working closely with product managers to delivergreat valueto engineers as customers * 3+ years of experience inspiring, managing, and coachingProduct Owners asdirect reports * Proventrack recordof quantifiable, measurable impact withchampioning custom data/workflows * Strong technical fluency - able to engage in architecture discussions, understand tradeoffs, and influence technical direction. * Experiencebuilding highly customizable data platform experiences thatpower AI and/ordrive action * Excellent communication and storytelling skills, with the ability to inspire teams and gain executive alignment. * Familiarity and comfort with data,including the ability to use data to analyze andmonitorproduct health, set goals, back up assumptions, and track success. * Strong tactical execution with the ability to handle multiple projects simultaneously * Detail-oriented without losing focus on strategy and big picture objectives * Excellent communicator and presenter, both written and verbal * Solid understanding of software development lifecycle and agile * Bachelor'sdegree in Business, Computer Science, Engineering, or Design or comparable work experience. Preferred Qualifications * Strong technicalexpertisein microservice architecture and one or more cloud platforms * Direct/prior experience as a software engineer or workingclosely withmanaging highly technical product solutions * You are excited and curious abouthighly complexproblems, systems, and interactions * A team player with proven ability tovalidatesolutions and deliver features frominceptionto delivery Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $166,000 and $250,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Business Development, Collaboration, Innovation, Leadership, Market Analysis, Market Strategy, Mentorship, Product Lifecycle, Product Management, Stakeholder Management

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

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

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.

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

Job Description Company Overview Our client is an IT and Voltage Services provider with expertise in deep niche education, real estate, and construction markets. They lead with integrity and transparency, while offering innovative solutions and an excellent customer-focused experience. Position Overview Our client is looking for a Senior Systems Engineer to join our dedicated team with the incredible opportunity for growth. This will be an onsite position at a client located in the Woodbridge NJ, area. Location: Lakewood, NJ Employment Type: Full-Time Hourly Rate: $80,000 - $95,000 USD/Annually Benefits: Paid Time Off, Health, Dental, and Vision Insurance, 401k Savings Plan Key Responsibilities • Handle escalated technical requests that other technicians were unable to resolve, ensuring prompt and effective solutions for clients., • Demonstrate proficiency in server administration, including DNS management, ensuring the smooth operation and optimal performance of clients' server infrastructure., • Utilize your experience with AVD, Intune and Azure to effectively manage and maintain clients' cloud-based solutions, ensuring proper integration and security., • Possess a sense of urgency when dealing with critical client technical matters, prioritizing and resolving issues promptly to minimize downtime and impact on business operations., • Demonstrate exceptional troubleshooting skills, investigating and resolving complex network and server issues, identifying root causes and implementing appropriate solutions., • Collaborate closely with the team based out of the Lakewood office, actively participating in knowledge sharing, training, and mentoring to foster a collaborative and supportive work environment., • Exhibit a strong dedication to teamwork, readily assisting colleagues and clients as needed to ensure successful outcomes., • Maintain a positive and professional demeanor, both in-person and when communicating remotely with clients, promoting excellent customer service and client satisfaction., • Participate in an on-call rotation. Qualifications • At least 3 years of experience as an IT Technician, preferably in an MSP environment., • Solid background in dealing with escalated technical requests and providing escalated support., • Strong familiarity with server administration, including DNS management., • Proven experience with Intune and Azure, demonstrating expertise in managing cloud-based solutions., • Ability to prioritize and handle critical client technical matters with a sense of urgency., • Excellent troubleshooting instincts and the ability to identify and resolve network and server issues., • Proficiency in logging in to firewalls, switches, and other network devices for configuration and troubleshooting purposes., • Strong team player with the ability to collaborate effectively in a fast-paced environment., • Exceptional communication and interpersonal skills, promoting excellent customer service., • Dedication to professional growth and staying updated with the latest industry trends and technologies. Compensation The published salary range is used as a guide to provide prospective candidates with a level of compensation that is competitive with today’s market. The salary range for this position is a good faith estimate that allows for flexibility to align with various levels of experience, education, and performance. EEO Statement Topaz HR is an Equal Opportunity Employer, and we do not discriminate on the basis of race, color, religion, gender, national origin, age, disability, or any other status protected by applicable law. We value and are committed to creating an inclusive environment for all employees. Please Note: Topaz HR is conducting this search on behalf of one of our clients. The employer's name will be disclosed during the interview process, and all hiring decisions will be made directly by the client. Company DescriptionTopaz HR is a full-service human resources consulting firm that partners with growing businesses to streamline HR operations and build strong, compliant workplaces. Based in West Orange, New Jersey, Topaz HR provides strategic guidance and hands-on support across areas such as talent acquisition, employee relations, compliance, payroll and HRIS support, benefits consulting, and leadership development. With decades of combined HR and business experience, the Topaz team helps organizations attract, retain, and develop top talent while reducing risk and allowing leaders to focus on growing their business.Topaz HR is a full-service human resources consulting firm that partners with growing businesses to streamline HR operations and build strong, compliant workplaces. Based in West Orange, New Jersey, Topaz HR provides strategic guidance and hands-on support across areas such as talent acquisition, employee relations, compliance, payroll and HRIS support, benefits consulting, and leadership development. With decades of combined HR and business experience, the Topaz team helps organizations attract, retain, and develop top talent while reducing risk and allowing leaders to focus on growing their business.

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

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

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

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

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

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

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

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

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

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

Strong ability to manage multiple projects with competing deadlines • Ability to effectively interact and build relationships with senior management and stakeholders • Strong project and people management skills • Excellent communication skills Preferred • Experience in financial domain •

Required Qualifications 5+ years of network engineering experience Experience working in large infrastructure environments Experience with F5 Load Balancers Experience with WatchGuard firewalls Experience with FS and Client switches Experience configuring VLANs and network segmentation Experience wi

Requires a Bachelor’s degree in Computer Engineering/CIS or Electronics Engineering plus 3 years of relevant experience. Design, develop, and modify software applications using Agile software development methodology & modern, front-end engineering frameworks for company clients. Analyze user needs

DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering role. Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced professional Job Title: Infrastructure and DevOps Engineer Work Mode: Hybrid (expected in the office weekly 3 days

Data Engineer JOB LOCATION: Remote WAGE RANGE*: $55hr to $60hr JOB NUMBER: 26-00546 REQUIRED EXPERIENCE: Power BI Expert Preferred Experience Experience building enterprise BI platforms serving 500+ users Experience with Power BI governance frameworks Experience integrating Power BI with Azure Synap

Genesis10 is currently seeking an Azure Data Engineer for a hybrid position with a Major Financial Institution located in Jersey City, NJ. This role will support a project to centralize Insider Risk (IR) data and governance within the Cybersecurity Data Lakehouse (CyberDW). This position acts as a t

DevOps Engineer One of our technology clients is seeking a DevOps Engineer to assist in supporting our mission-critical infrastructure and SaaS services on the AWS public cloud. This position requires an individual who is an accomplished engineer with experience in engineering and public clouds, sup

Cloud Security: Enforce IAM, encryption, and network security across cloud platforms. MUST HAVE CLOUD SECURITY with AL/ML/LLM. Experience securing cloud-native architectures.

You will collaborate closely with data architects, engineers, and business teams to ensure data ingestion, storage, and access solutions on Snowflake meet performance, security, and compliance requirements supporting enterprise SAP data migration and analytics. Integrate Snowflake with SAP data sour

Manage release processes, provide environment support, and offer production support as needed. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking's Equities Electronic Trading team, you are an integral part of an agile team that works to enhance, build,

We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutio

Formal training or certification on software engineering concepts and 7+ years applied experience. Hands-On coding in Java , Micro Services, Spring Boot , Kubernetes , Cloud Computing , Oracle , Kafka. Practical cloud native experience.

This team is currently working on advancing their cloud strategy within their environment and have three cloud providers within their current environment. This role involves designing, developing, and deploying cloud solutions with a focus on infrastructure as code, cloud migrations, and integration

Strong software engineering background (Python required). Familiarity with Docker, Kubernetes, and cloud platforms. NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas.

AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus- Designing and implementing thorough data architecture str

Comply with and support ITIL change-incident-problem-asset management processes and work instructions. Provides day-to-day technical support to employees for a range of hardware and software related systems. About the job IT User Support Specialist.

Candidate must be willing to provide 24*7 on-call support including some weekend work. Work with vendors on support cases.

Job Title: Java Data Reconciliation Engineer. We're seeking a skilled Java Data Reconciliation Engineer to join our team and drive the development of robust data reconciliation solutions within our financial systems.