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About Wakefern Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners. Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices. The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility. Essential Functions • Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems., • Implement and enforce data quality and governance standards to ensure the accuracy and consistency., • Provide input for project plans and timelines to align with business objectives., • Monitor project progress, identify risks, and implement mitigation strategies., • Work with cross-functional teams and ensure effective communication and collaboration., • Provide regular updates to the management team., • Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure., • Communicates and promotes the code of ethics and business conduct., • Ensures completion of required company compliance training programs., • Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies., • Stays current through personal development and professional and industry organizations. Responsibilities • Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations., • Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases., • Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability., • Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms., • Ensure data solutions and data sources meet quality, security, and compliance standards., • Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime., • Provide technical training, documentation, and ongoing support to end users of data automation systems., • Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures. Qualifications • A bachelor's degree or higher in computer science, information systems, or a related field., • Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.), • Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc., • Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage., • Experience with workflow orchestration tools such as Cloud Composer or Airflow, • Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc., • Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities., • Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search)., • Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale., • Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation., • Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle., • Hands-on experience with IBM DataStage and Alteryx is a plus., • Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization., • Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,, • Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar., • Familiarity with data modeling tools., • Familiarity with DevOps practices for data (CI/CD pipelines), • Proficiency in project management software (e.g., JIRA, Clarizen, etc.), • Familiarity with DevOps practices for data (CI/CD pipelines), • Strong knowledge and skills in data management, data quality, and data governance., • Strong communication, collaboration, and problem-solving skills., • Ability to work on multiple projects and prioritize tasks effectively., • Ability to work independently and in a team environment., • Ability to learn new technologies and tools quickly., • The ability to handle stressful situations., • Highly developed business acuity and acumen., • Strong critical thinking and decision-making skills. Working Conditions & Physical Demands This position requires in-person office presence at least 4x a week. Compensation and Benefits The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations. Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave. Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Summary The Security Engineer main role is to design, implement, and oversee our cybersecurity strategy, ensuring robust protection against evolving threats. The ideal candidate will have 7-10 years of experience in cybersecurity architecture, security operations, and risk management with a strong focus on enterprise security solutions, cloud security, identity & access management (IAM), and security best practices. The Security Architect must have hands-on experience with internet secure gateway, EDR, MDR, ITDR, secure email gateway, firewalls, MFA, scripting, policies, data classification, and cloud security controls. This role requires deep expertise in security frameworks, architecture principles, security automation, and compliance standards (NIST, CIS, ISO 27001, Zero Trust, etc.). Essential Functions • Develop and maintain a comprehensive security architecture covering on-premises, cloud, and hybrid environments., • Design security solutions that align with business objectives while mitigating risk., • Ensure Zero Trust principles, network segmentation, and security best practices are enforced across the enterprise., • Architect cloud security strategies, leveraging best practices for Azure and GCP., • Lead security investigations, conduct root cause analysis, and document incident response actions., • Provide threat intelligence and recommend proactive security measures to mitigate risk., • Implement and maintain cloud security controls in Azure and GCP., • Optimize cloud security solutions for web and network protection., • Ensure Active Directory (AD) and IAM policies align with best practices., • Support identity governance, access reviews, and privileged access management (PAM)., • Oversee the continuous best practice is leveraged for data classification policies and enforce data protection controls., • Conduct security assessments and ensure compliance with industry standards (PCI, NIST, CIS)., • Recommend, evaluate, and implement new security technologies based on business needs and threat landscape., • • Work with DevOps and IT teams to integrate security automation, security-as-code, and DevSecOps principles. Additional Functions • Threat Modeling & Risk Management:, • Conduct threat modeling, risk assessments, and security reviews for applications, infrastructure, and networks., • Provide technical leadership in responding to security incidents, forensic analysis, and root cause investigations., • Develop and maintain security policies, standards, and playbooks for security operations., • Collaborate with IT and business units to ensure security compliance with regulatory frameworks (PCI DSS, NIST, ISO 27001, SOC 2)., • Identity & Access Management (IAM) & Authentication:, • Design and enhance IAM policies, privileged access management (PAM), and role-based access control (RBAC)., • Enforce strong authentication and MFA strategies using Okta, Microsoft Authenticator, and AD., • Define identity threat detection and response (ITDR) strategies. Security Governance & Compliance: • Ensure security controls align with industry frameworks (NIST CSF, ISO 27001, CIS, Zero Trust, MITRE ATT&CK)., • Assist with audit, regulatory compliance, and security assessments., • Conduct penetration testing, red/blue teaming exercises, and vulnerability management programs., • Provide security guidance for third-party risk management and vendor security evaluations. Leadership & Collaboration: • Act as a subject matter expert (SME) in cybersecurity architecture and best practices., • Provide mentorship and training to security engineers and analysts., • Work cross-functionally with IT, DevOps, and executive leadership to align security strategy with business goals., • Develop security roadmaps and strategic initiatives for continuous security improvement., • Maintain and fine-tune security configurations across various security platforms., • Identify security gaps and recommend security enhancements and process improvements., • Develop playbooks and automation scripts to enhance security operations efficiency., • Conduct vulnerability assessments and penetration testing to identify security weaknesses in systems and applications., • Develop and implement security policies, procedures, and standards to ensure compliance with industry’s best practices and regulatory requirements., • Investigate security breaches and other security incidents to determine the root cause and implement corrective actions., • Stay up-to-date on the latest security threats and vulnerabilities and recommend appropriate security measures., • Collaborate with other IT teams to ensure that security is integrated into all aspects of the organization's IT infrastructure., • Participate in security audits and assessments to identify and address security gaps., • Develop and maintain incident response plans and procedures., • Evaluate and recommend security technologies and solutions to improve the organization's security posture. Qualifications • 7-10 years of experience in cybersecurity architecture, security operations, or cloud security., • Deep understanding of:, • Enterprise security architectures, security frameworks (NIST, CIS, Zero Trust, ISO 27001), and best practices, • Email secure gateway (Proofpoint, Mimecast), • Firewalls (Palo Alto, Cisco) and network security principles, • Cloud security (Azure, GCP) and security automation, • IAM, MFA, AD, Okta, Microsoft Authenticator, • Endpoint security, EDR, ITDR, and threat intelligence, • Data classification, DLP, and information protection, • Experience designing secure architectures for large-scale enterprises and cloud environments., • Strong knowledge of DevSecOps, security automation, and scripting (Python, PowerShell, Terraform)., • Excellent communication and leadership skills, capable of influencing security strategies across the organization., • CISSP Certifications (Required): CISM and CCSP is plus, • A bachelor's degree in computer science, information systems, or a related experience., • 7-10 years of experience in cybersecurity, security operations, or network security., • Hands-on expertise with:, • Zscaler, CrowdStrike, Microsoft Defender, Sophos, • Proofpoint (Email Security Gateway), • EDR & ITDR solutions, • Palo Alto & Cisco Firewalls, • Okta, Microsoft Authenticator (MFA), Active Directory (AD), IAM, • Cloud Security (Azure and GCP), • Data classification and protection strategies, • Strong knowledge of threat intelligence, SIEM, vulnerability management, and incident response., • Experience with security frameworks such as PCI, NIST, ISO 27001, CIS Benchmarks., • Strong analytical, problem-solving, and communication skills., • Ability to work independently and collaboratively in a fast-paced environment., • Excellent communication and interpersonal skills, capable of collaborating effectively with cross-functional teams. Working Conditions & Physical Demands This position requires in person office presence at least 4x a week.

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time. Position Summary: Data Engineer with previous experience in the insurance domain, design, build, and maintain scalable data pipelines and models that power analytics and Generative AI initiatives. The Data Engineer will collaborate closely with analysts and engineers, to understand data needs, develop efficient solutions, and ensure the integrity, performance, and security of our data systems. • Analyze integration and system requirements by understanding business needs and designing effective data solutions, particularly for Guidewire Policy, Billing Center and Commercial P&C data domains., • Design, develop, and optimize ELT pipelines to ingest, transform, and load data into a Delta Lakehouse platform., • Design, Develop and maintain data models and schemas ensuring data quality and integrity., • Build and maintain dashboards and reports delivering actionable business insights., • Monitor pipeline and storage performance; troubleshoot and resolve data issues promptly., • Collaborate with cross-functional teams, including analysts and business users, to deliver end-to-end insurance data solutions., • Implement data governance, security, and compliance standards across platforms., • Conduct root cause analysis for system failures and performance events; drive continuous improvements in enterprise data integration pipelines., • Create and manage testing procedures (unit, scenario, end-to-end) to ensure pipeline reliability., • Stay current with emerging technologies and recommend improvements to workflows., • Mentor team members on data engineering tools, Guidewire data model concepts and best practices., • Build and maintain data pipelines to process structured and unstructured data (like documents and text) for Generative AI tasks, including creating embeddings and working with vector databases to support AI search features., • Prepare and clean large datasets to ensure high-quality inputs for training and fine-tuning Generative AI models., • Collaborate with AI and data science teams to understand data requirements and deliver scalable solutions that support model training and inference., • Implement processes to enrich data with metadata and context to improve AI model accuracy and relevance., • Optimize data storage and retrieval methods to support fast, low-latency responses for AI-powered applications., • Monitor data workflows for Generative AI projects, troubleshooting issues, and ensure continuous pipeline performance., • Bachelor's degree in relevant field of study required(e.g. computer science, data science, data analytics, applied mathematics, etc.), • 5+ years of progressive work experience in IT or a related field required., • 3+ years of experience in data engineering and analytics, with a solid foundation in data architecture and integration, including hands-on work with complex enterprise P& C Insurance data models required., • 2+ years of experience with data-centric projects within the Guidewire ecosystem, including working with Guidewire Policy Center and related data structures required., • In-depth understanding of relational database systems (e.g., Oracle, SQL Server, MySQL), including their features and performance optimization strategies., • Solid grasp of ETL processes, data pipeline architectures, and data integration techniques, particularly for operational source systems such as Guidewire., • 2+ years of hands-on experience with Azure Databricks, Azure data factory including developing and optimizing data pipelines using Apache Spark required., • 2+ years of experience working with Power BI or other leading data visualization and reporting tools required., • Proven expertise with Apache Spark, Delta Lakehouse, and data warehousing technologies required., • Proficient in Microsoft Azure services, including:, • Azure SQL Database, • Azure Data Lake Storage Gen2, • Azure Event Grid, • Azure Key Vault, • Strong understanding of CI/CD pipelines and experience in Agile development environments., • Demonstrated ability to troubleshoot system issues, identify root causes, and implement effective solutions quickly., • Capable of managing multiple priorities with strong attention to detail and follow-through., • Working knowledge of Generative AI frameworks and use cases in data engineering is a plus., • Knowledge of data governance, metadata management, and data quality frameworks., • Understanding of data security and privacy principles, including encryption, anonymization, and access control mechanisms., • Proficient in Microsoft Office Suites, • Strong understanding of the Insurance Domain and Experience using Guidewire CDA data model to build use case specific datasets., • Data Modeling, • Expertise in Azure Databricks, Azure Data Factory, Apache Spark, and data pipeline development for scalable data engineering solutions, • Collaboration with cross-functional groups

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time. Position Summary: The position is responsible for designing, building, deploying, and maintaining enterprise-grade Agentic AI solutions under the direction of an Sr. AI Engineer. This role focuses on implementing autonomous and semi-autonomous AI agents using large language models (LLMs), orchestration frameworks, and Azure-native AI services. The position supports intelligent automation initiatives across Insurance business domains by translating product requirements into scalable, secure, and observable AI systems. • Design, develop, and deploy Agentic AI systems based on product requirements defined by the Business SMEs., • Implement agent workflows including:, • Planning, execution, validation, and retry logic, • Tool and API invocation, • Context and memory management, • Build and maintain LLM-powered pipelines, including RAG-based architectures., • Integrate AI agents with enterprise systems using APIs, event-driven workflows, and automation services., • Develop and manage data ingestion and enrichment pipelines for structured and unstructured data., • Monitor AI system performance, accuracy, latency, and cost; implement optimizations and improvements., • Implement guardrails, safety mechanisms, and human-in-the-loop controls., • Support production deployment using Azure-native services and CI/CD pipelines., • Document system architecture, workflows, prompts, and operational runbooks., • Collaborate with product managers, architects, and data teams to iterate on AI solutions., • Participate in special projects and perform additional duties as required., • Bachelor's Degree in Computer Science, Engineering, or related field required., • 1-3 years of experience in AI/ML engineering, data engineering, or software engineering required., • Hands-on experience with LLMs, GenAI, or intelligent automation systems required., • Experience building AI solutions on cloud platforms, preferably Microsoft Azure required., • Exposure to Agentic AI, workflow orchestration, or multi-agent systems preferred., • Strong proficiency in Python and AI/ML libraries., • Hands-on experience with:, • LLMs, prompt engineering, and RAG architectures, • Vector databases and semantic search, • Agent orchestration frameworks, • Experience with Microsoft Azure, including:, • Azure OpenAI, • Azure Functions, Logic Apps, AKS, • Knowledge of API development and system integration., • Familiarity with CI/CD pipelines, Git-based version control, and Agile delivery., • Strong analytical, troubleshooting, and communication skills., • Azure AI Fundamentals or equivalent certification preferred., • Familiarity with data privacy, security, and compliance in AI development., • Exposure to prompt engineering and GenAI tools a plus., • Insurance domain exposure preferred. The salary range for this role is $69,100-$124,400. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.

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: Woodbridge, 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., • 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. 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. Powered by JazzHR TaIuPKCm4D

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

Job Description Network Engineer Position Overview: The network engineer will oversee daily operation of multiple aspects of datacenter infrastructure including switches, routers and firewalls. The network engineer will also work very closely with the devops team in the design, planning and execution of production and internal tactical projects. The network engineer will be closely involved in projects involving site reliability engineering such as design and management of infrastructure and application monitoring systems. Key Responsibilities: • Support and maintenance of an application delivery environment with multiple datacenters including several Azure subscriptions., • Establishing the networking environment by designing system configuration, directing system installation, defining, documenting and enforcing system standards, • The design and implementation of high availability solutions at all levels of the network stack, • Maximizing network performance by monitoring performance, troubleshooting network problems and outages, • Undertaking data network fault investigations in local and wide area environments, using information from multiple sources, • Securing network systems by establishing and enforcing policies, and defining and monitoring access, • The support and administration of firewall environments in line with the IT security policy, • Updating job knowledge by participating in educational opportunities, reading professional publications, maintaining personal networks and participating in professional organizations, • The configuration of routing and switching equipment, • Capacity management and audit of IP addressing and hosted devices within data centers, • Liaising with project management teams, third –tier engineers and service desk engineers on a regular basis, • Bachelor's Degree in Computer Science or related field. In lieu of degree, 4 years' work and/or network engineer work experience, • Solid technical background with SonicWall firewalls, • Expert knowledge of BGP, OSPF and VPN technologies, • Knowledge of telecommunications technologies including voice, data, broadband, VoIP, and Internet services, and the deployment and implementation of these services., • Windows system administration, • Experience with Vmware and dense virtualization environments, • Midsize and Enterprise experience, preferred, • Aruba certification preferred, • Needs to be open to change and drive change opportunities., • Able to provide excellent oral and written communications., • Candidate must be a team player with good customer service skills and the ability to work flexible hours if required., • Exhibit strong end to end troubleshooting skills for system, network or application. Physical requirements and work environment: • Must be able to lift 30 lbs., • Must be able to sustain office work for 8+ hours per day including the following:, • Sitting in an office chair, • Typing, • Reaching for the telephone, • Standing at office equipment, • Hearing for phone use, • Sight for computer use, • Must be able to work beyond 40-hour week during upgrades or new functionality rollout if necessary, • Medical, Dental & Vision Coverage, • Flexible Spending Accounts (FSA), • Company-Paid Life and Disability Insurance, • 401(k) with Company Match, • Paid Time Off & Paid Holidays, • Annual Bonus Opportunities, • Employee Assistance Program (EAP) We offer a comprehensive benefits package designed to support your health, financial well-being, and work-life balance, including medical, prescription, dental, and vision coverage; FSA/HSA options; company-paid life and disability insurance; 401(k) with company match; paid time off (PTO) and holidays; annual bonus opportunities; an employee assistance program (EAP); and opportunities for career growth and advancement. Additional details will be provided during the hiring process. CompoSecure is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin. We are also an equal opportunity employer of individuals with disabilities and protected veterans. Please note: CompoSecure does not accept unsolicited resumes from staffing agencies or third-party recruiters. Any unsolicited resumes sent to CompoSecure, including to our employees, will become the property of CompoSecure and may be used without any obligation to pay referral or placement fees. Any agency or recruiter seeking to work with CompoSecure's Talent Acquisition Team should contact our team directly by sending an email to .

Job DescriptionDescription: Azure Cloud Infrastructure Engineer Location Hybrid / Remote (US) Role Overview We are looking for a Cloud Infrastructure & DevOps Engineer to help build, operate, and continuously improve the cloud platforms supporting SaleDock and Celerant retail systems. This role is responsible for managing Azure infrastructure, improving reliability, and developing automation that streamlines provisioning and deployment processes for new ecommerce customers. You will work closely with development and support teams to ensure our production and test environments are secure, scalable, and operationally efficient. Key Responsibilities Cloud Infrastructure & Operations • Build, manage, and maintain Azure cloud infrastructure supporting ecommerce and retail operations., • Administer production and test environments across Linux (and Windows where required)., • Monitor performance, capacity, uptime, and resource consumption across hosted applications., • Create and maintain dashboards and monitoring views to proactively identify issues., • Develop and maintain automation for provisioning, configuration, testing, and deployment., • Maintain CI/CD pipelines for ecommerce environments, including creating pipelines for new customer sites., • Improve and automate manual go-live processes for onboarding new ecommerce customers, including:, • Provisioning web applications, • Configuring custom domains and SSL validation, • Develop internal tooling that enables support teams to monitor, restart, and manage endpoints/services., • Assist with incident response, troubleshooting, and root cause analysis., • Apply operational security best practices across the Azure environment., • Implement hardening, access controls, patching processes, and secure networking., • Ensure infrastructure is compliant with internal standards and industry best practice. Required Skills & Experience • Strong experience managing cloud infrastructure in Microsoft Azure., • Experience with Infrastructure as Code (Terraform, Bicep, ARM, etc.)., • Strong CI/CD pipeline experience (Azure DevOps, GitHub Actions, etc.)., • Experience supporting production workloads and diagnosing performance issues., • Solid understanding of networking concepts (VNets, subnets, routing, firewalls, DNS)., • Comfortable working with Linux administration (and Windows Server where relevant)., • Scripting / automation skills (PowerShell, Bash, Python, etc.)., • Familiarity with monitoring tools (Azure Monitor, Application Insights, Grafana, etc.). Nice to Have • Experience running multi-tenant ecommerce or SaaS platforms., • Experience with scaling strategies, load balancing, and resilience planning., • Understanding of security frameworks and governance in Azure (Defender, Policy, RBAC best practices)., • Experience building internal support tooling or operational dashboards. What Success Looks Like • Production and Test infrastructure with high uptime, security, and incident handling, • Faster and more automated ecommerce customer go-live processes., • Improved monitoring and visualization tooling, • Improved reliability and visibility of production systems., • Clear monitoring dashboards and proactive alerting in place.Requirements: Required Skills & Experience • Strong experience managing cloud infrastructure in Microsoft Azure., • Experience with Infrastructure as Code (Terraform, Bicep, ARM, etc.)., • Strong CI/CD pipeline experience (Azure DevOps, GitHub Actions, etc.)., • Experience supporting production workloads and diagnosing performance issues., • Solid understanding of networking concepts (VNets, subnets, routing, firewalls, DNS)., • Comfortable working with Linux administration (and Windows Server where relevant)., • Scripting / automation skills (PowerShell, Bash, Python, etc.)., • Familiarity with monitoring tools (Azure Monitor, Application Insights, Grafana, etc.).

Job Description Job Title – Network/Security Engineer Help expand the boundaries of cutting-edge fintech security. Our client, a successful financial technology and services company, currently seeks a detail-oriented candidate to serve as a Network Security Engineer. In this position, you would work with senior technical network and leadership teams to provide scalable, consistent, and secure solutions across multiple different types of firewalls and network infrastructure, in both private and public clouds. Responsibilities: • Palo Alto, Meraki, Citrix, NetScaler, Network Routing, Software Defined Networks concepts (NSX,vtep/vxlan), VPN., • Monitor & Detection: utilize network traffic and security tools (SIEM, CrowdStrike, Rapid7,Palo Alto logs) for reporting of suspicious activity, intrusions, or malicious behavior, • Incident Response and Vulnerability Management: Respond to managed SOC alerts and conduct regular vulnerability assessments with various security tools, • Attend regular infrastructure meetings with Senior technical staff., • Ensure timely roll out and client sign off on new implementations., • Participate in periodic DR testing, provide immediate response for any critical issues, ensure the network is operating securely, highly available and meeting all SLAs with clients., • Work with senior technical network and leadership teams to provide scalable, consistent, and secure solutions across multiple different types of firewalls and network infrastructure, in both private and public clouds., • Create and maintain network diagrams., • Configure and manage MPLS/VPN solutions to provide secure remote access for employees, clients, and partners., • Work on the design and deployment of Software Defined Networks, optimizing performance and security., • Participate in weekly working group status calls with infosec and infrastructure working groups as needed. Participate in daily infrastructure meeting held at EST afternoons., • Flexibility to participate in on-call support some weeknights and weekends where needed for implementation checkout or triage., • Conduct regular training sessions for the IT team and relevant stakeholders on compliance requirements., • Foster a culture of compliance awareness to ensure all team members understand their roles in maintaining regulatory compliance, • Actively participate in industry forums and stay informed about evolving compliance standards., • Implement continuous improvement initiatives to enhance the organization's ability to meet and exceed compliance requirements., • Computer Science BS/Engineering., • 5-7 years of proven experience as a Network Security Engineer in private datacenters and cloud environments., • Relevant certifications such as CCNP Security, CISSP, or equivalent., • Expertise in designing, implementing, and maintaining robust network security solutions., • Routing-Knowledge of BGP & OSPF routing protocols., • Knowledge of cloud AWS/Azure routing and security infrastructure design, • In-depth knowledge of Palo Alto, Cisco ASA, Meraki, Citrix NetScaler, MFA access, SDN, VPN, and Cloud security., • Strong understanding of security best practices and familiarity with CrowdStrike, SecureWorks and industry's best practices., • Excellent troubleshooting and problem-solving skills., • Previous experience in financially regulated environments (SEC, OCC, Federal Reserve, FINRA, SOC 1 and SOC 2, etc.) preferred. Our client offers a comprehensive benefits package designed to support your health, well-being, and future. This includes medical, dental, and vision coverage, life and disability insurance, flexible spending accounts, a 401(k) retirement plan, and access to additional voluntary benefits. Employees also enjoy a perk program that provides special discounts. Salary Range: $130,000 – $150,000 The above requirements and qualifications are meant to describe the general nature of the position and do not represent all duties to be performed by the selected candidate. Please note that only candidates who are under consideration for the position will be contacted. The Company is an equal opportunity employer. All employment is decided on basis of qualifications, merit and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description Role & Responsibilities Overview: • Build and maintain Azure/Microsoft Fabric data pipelines (batch, streaming, API) using Data Factory, Lakehouse, Warehouse, and Real‑Time Analytics., • Design scalable data models and ETL/ELT workflows supporting insurance datasets (policy, claims, billing, actuarial, customer)., • Implement Lakehouse‑based architectures enabling analytics, reporting, and ML workloads., • Optimize pipeline performance, reliability, cost, and storage across Azure and Fabric environments., • Apply data governance, lineage, metadata, and data quality rules in collaboration with governance teams., • Implement security and compliance controls (RBAC, sensitivity labels, encryption) aligned with NAIC and data privacy regulations., • Collaborate with cloud engineering, security, and business stakeholders to deliver robust, standards‑aligned solutions., • 7+ years of experience in data architecture, data engineering, or analytics platform design., • Strong hands on experience of at least 5 years with Azure services., • Deep understanding of P&C insurance data domains (policy, claims, underwriting, actuarial, billing)., • Expertise in data modeling (dimensional, canonical, semantic models)., • Strong knowledge of data governance, metadata management, and data quality practices., • Proficiency with SQL, Python, and modern data engineering frameworks., • Excellent communication and stakeholder management skills., • Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse., • Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse)., • Certifications such as Azure Data Engineer, • Prior experience in P&C insurance data modernization programs

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