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Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

AWS Certified Cloud Practitioner, AWS Certified AI Practitioner, AWS Certified Developer - Associate, AWS Certified Solution Architect - Associate, AWS Certified Machine Learning Engineer - Associate, AWS Certified Solution Architect - Professional, AWS Certified DevOps - Professional. Actual compen

Proven experience with Google Cloud and/or Google enterprise platforms; exposure to AI/agent platforms or automation tools is preferred. KPMG is currently seeking an Associate Director, Technology Innovation - Google Engineer to join our Digital Nexus technology organization. Partner with Google and

AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. In data engineering at PwC, you will focus on designing and

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Data Scientist, you'll work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you'll gain hands-on experience working on impactful projects across the enterprise, applying advanced analytics and machine learning to areas such as financial services, insurance, and operations optimization. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in data science and applied statistics, eager to deepen their expertise and grow within a dynamic AI team working at the frontier of applied analytics and machine learning. Key Responsibilities: • Contribute to the development of predictive and statistical models addressing business-critical challenges across diverse domains., • Conduct exploratory data analysis, feature engineering, and hypothesis testing to uncover patterns and support model development., • Collaborate with senior data scientists and ML engineers to refine models, improve accuracy, and enhance interpretability., • Support the design and evaluation of experiments and A/B tests, ensuring rigorous measurement of impact., • Clean, transform, and prepare data from diverse sources, ensuring high-quality datasets for analysis., • Build dashboards, reports, and visualizations that communicate insights clearly to technical and non-technical stakeholders., • Stay current with emerging data science methods and tools (e.g., generative AI, LLMs, causal inference) and apply them through prototyping. Qualifications: • 5+ years of experience applying data science or advanced analytics in a professional setting., • Solid understanding of statistical modeling, machine learning fundamentals, and experimental design., • Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting., • Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow)., • Strong experience with SQL and data manipulation across large datasets., • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus., • Excellent problem-solving skills, eagerness to learn, and ability to work in fast-paced, evolving environments., • Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science / ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar)., • Open-source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials). Experience presenting research or applied work at meetups, workshops, or industry conferences., • Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks., • Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services., • Drive AI transformation for some of the most sophisticated financial entities., • Competitive compensation, benefits, future equity options, and leadership opportunities. Position Location This is an onsite position based in Manhattan in New York City. Compensation The base salary for this position is $190,000-$200,000 USD. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionAbout Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Role Overview As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients—owning work from requirements discovery through prototype and production deployment. You’ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services. This is a mid-to-senior individual contributor role. You’ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions. Key Responsibilities • Design & Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives., • Build Workflows & Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems., • Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs., • Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate., • Prototype → Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team., • Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders., • Ongoing Support & Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations., • Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability., • Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed.Success in This Role Looks Like, • Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)., • Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows., • Deliveries are production-ready: monitored, testable, documented, and maintainable.Required Qualifications, • 3–8 years of software or AI engineering experience (mid-to-senior)., • 2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)., • Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)., • Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices., • Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations., • Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch., • Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)., • Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders.Preferred Qualifications, • Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)., • Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management., • Experience with graph databases / knowledge graphs., • Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness). 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Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email The Cloud DevSecOps Engineer III is responsible for bringing the concepts of development, security, and operations together to create a more robust security system for the organization. They test and monitor an organization's system for vulnerabilities and work in collaboration with developers to create new programs that patch holes in the current security program. They add countermeasures to prevent against new threats, or simply make the program stronger and more effective. They are responsible for keeping the organization's data, network, and IT infrastructure safe and free from security threats through monitoring, programming, testing, and communication. What you will do: · Build & Deploy - AWS CloudFormation and OpenTofu for template creation & maintenance · Leverage GitHub Actions as well as AWS CodePipeline CI/CD automation Leverage AWS Cost Optimizations & AWS Well-Architected Best Practice recommendations · HA & DR implementations, including improvements to RTO/RPO · Help maintain AWS Operations with governance mechanisms · Help to maintain and own the Infrastructure and Operational Excellence for the company · Document and develop processes to support systems across the organization · Monitor the implementation of various critical infrastructure and middleware components · Build & Maintain and release highly available, reliable, stable products across several platforms · Create alarms and maintain transparent monitoring of all relevant systems for tracking operational excellence, cost, and performance · Should be able to understand complex architectures and be comfortable working with multiple teams · Should be highly proactive with a keen focus on improving the uptime availability of our mission-critical services What We're Looking For: · Must have AWS Certified SysOps Administrator and/or Solutions Architect Associate and/or Developer Associate and/or 7+ years of implementing & maintaining enterprise AWS Cloud environments. · Experience creating, delivering, and operating multi-tenanted, distributed systems at scale · Cloud architecture experience in AWS environment and container-based deployments using OpenTofu, GitHub Actions, AWS CodePipeline, and CloudFormation. · Passionate for continuous learning and understanding things in and around cloud development · Experience with various AWS services like ECS, S3, Lambda, DynamoDB, RDS, Cognito, WAF, GuardDuty, CloudFront, Route 53, EventBridge, Github Actions, etc · Experience with any tools like DataDog, CloudWatch, or similar tools for observability · Solid understanding of the application and infrastructure security · Good to have knowledge on Azure and an understanding of Azure Active Directory · Strong written and verbal communication skills Kapitus Total Rewards Package Includes: · Competitive Base Salary Range of $117,800-$189,000 Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience. · Annual Incentive Compensation Eligibility – Up to 10% annually · Health Insurance: We offer comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. · 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. · Voluntary Insurance: Supplemental life insurance as well as enhanced short- and long-term disability coverage are available through Mutual of Omaha, providing additional security for our employees. Additionally, Colonial Accident and Hospitalization insurances are also available, offering further protection against unforeseen events. · Paid Maternity and Parental Leave: Beyond state-mandated leave policies, Kapitus provides company-paid maternity and parental leave, supporting our employees during important family milestones. · LifeBalance Program: Enhance your lifestyle with our LifeBalance membership, which offers discounts on outdoor activities, the arts, health, and fitness. Additional benefits include: o Pet and car insurance discounts. o Financial services such as LegalShield. o Relaxation and stress management tools, including a fully covered annual subscription to The Calm App. · Plum Benefits Discount Program: Access exclusive discounts on shows, travel, car rentals, and more, enriching your personal and family life. · Tuition Reimbursement: Pursue further education with up to $5,000 annually in tuition reimbursement, plus opportunities to attend relevant conferences and career development events. · Transit Reimbursement: We also offer transit reimbursement for all work-related travel, supporting your involvement in career and personal development activities. · Paid Time Off and Sick Time · Retirement Benefits: Our 401K plan is managed through Fidelity, featuring a 25% match on employee contributions, helping you plan for a secure financial future. About Kapitus: Kapitus is one of the most reliable and respected names in small business financing. As both a direct lender and a marketplace built with a trusted network of lending partners, we can provide small businesses with the financing they need when, and how it is needed. We have spent our entire existence building a culture that makes us excited to come to work in the morning. Our company is fast paced, teammates need to be self-directed and have an internal motivation to do the right thing, even when the right thing takes a lot of hard work. We show our teammates our appreciation by offering great benefits, competitive pay and solid opportunity for growth. Company Mission: At Kapitus, our mission is to help small business owners grow their organizations by providing tailored, transparent, and ethical financing solutions. We invest in every business owner's story and we are dedicated to building lasting relationships to champion their goals. We promise to keep the best interests of our clients at the center of the financing process by operating with transparency, fairness, and integrity. Consideration will be given to qualified remote candidates residing in states where Kapitus and/or one of its subsidiaries has an established physical presence.

Industry-recognized cloud certifications (AWS Certified Developer, Azure Developer Associate, GCP Professional Developer, or equivalent). Position Summary Engineering Foundry/Software Engineering Development - Full-stack Developer/Consultant/Software Engineer - II Join our AI & Engineering te

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Machine Learning Engineer, you'll work alongside experienced ML engineers and data scientists to design, build, and scale machine learning systems that deliver real business value. Reporting to the Executive Director of ML Engineering, you'll gain hands-on experience developing production-grade pipelines, monitoring frameworks, and scalable ML applications that support mission-critical business functions. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in machine learning engineering, eager to deepen their expertise in production systems and MLOps while growing within a dynamic AI team operating at the frontier of applied ML. Key Responsibilities: • Contribute to the design, development, and deployment of ML models and pipelines across business-critical domains such as financial services and insurance., • Support production efforts, including model packaging, integration, CI/CD deployment, and monitoring for performance, drift, and reliability., • Collaborate with senior engineers to build internal ML engineering tools and infrastructure that improve training, testing, and observability workflows., • Partner with Data Scientists to operationalize prototype models, ensuring they are scalable, robust, and cost-efficient in production., • Work with large-scale datasets to enable feature engineering, transformation, and quality assurance within ML pipelines., • Implement monitoring dashboards, alerts, and diagnostics for model health and system performance. Qualifications: • 5+ years of experience building and deploying machine learning models in production environments, with exposure to monitoring and diagnostics., • Solid understanding of machine learning engineering fundamentals (pipelines, deployment, monitoring) and familiarity with data science workflows., • Experience with MLOps tools such as MLflow, Weights & Biases, or equivalent. Exposure to observability/monitoring systems (Prometheus, Grafana, ELK, Datadog) is a plus., • Proficiency in Python and familiarity with ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch)., • Strong experience with data manipulation and pipelines using Pandas, NumPy, and SQL., • Knowledge of containerized deployments (Docker, Kubernetes) and cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) preferred., • Excellent problem-solving skills, eagerness to learn, and ability to thrive in a fast-paced, evolving environment., • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including deploying and integrating ML solutions in enterprise ecosystems., • Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM engineering workflows., • Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services., • Drive AI transformation for some of the most sophisticated financial entities., • Competitive compensation, benefits, future equity options, and leadership opportunities. Position Location This is an on-site position based in Manhattan in New York City. Compensation The base salary for this position is $190,000-$200,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionJob Title: Sr. Security EngineerDuration: 6 months Contract To HireLocation: Looking for someone near our physical NY office (NYC) and datacenter (Weehawken, NJ) who could support on-site physical equipment (powering off a firewall, checking cable connectivity, shipping equipment, configuring equipment that is not remotely accessible). About the PositionClient X is seeking an exceptional Senior Security Engineer to join its IT Security Team in our New York office. This person will join a distributed, highly collaborative team that is responsible for the setup and maintenance of security equipment for a global network. The successful candidate will demonstrate strong technical skills and will have the technical credibility to be a lead participant in the architecture, design, and implementation of complex security solutions including interconnectivity with third party partners and market data providers and DMZ configuration and hardening. In addition to exceptional technical skills, the ideal candidate will demonstrate an ability to provide the highest level of support for troubleshooting incidents. Experience with updating problem records in an incident tracking system is needed and he or she must be comfortable interacting with various individuals or in an ever-changing environment. This person will help to lead projects where close coordination and communication is required with other areas such as the networks, database management, system services, and application development organizations. The ideal candidate will have at least eight years of hands on technical experience with firewall design and implementation with physical and\or virtual Next Generation firewalls and will have at least three years of experience in working with cloud implementations. Experience with automation technologies such as Ansible Tower would also be helpful. Specific Responsibilities Include • Operational management of security platforms including, but not limited to, firewalls, load balancers, web proxies, endpoint security technologies., • Documentation and implementation of firewall policy and rule changes., • Manage physical equipment such as the rack, stack and installation of security equipment in any company location including enterprise data centers, • Assist in supporting the security platforms protecting our enterprise systems and environment, • Assist and train team members in the use of cloud security tools and the resolution of security issues, • Provide technical support for complex, medium to high risk systems problems, • Instill cooperation and/or resolve problems on security related activities that span other areas such as network, database management, applications development, and other systems related areas, • Implement automated approach to delivering key security management processes, • Communicate security risks and solutions to business partners, platform & product teams, • Partner with Security Architecture to evaluate cloud security technologies, provide feedback on designs, and implement processes and integrations of highly complex solutions., • Develop procedures for automating security tasks during build and deployment Skills & Experience Required:, • Bachelor’s degree with a degree in Computer Science, Computer Engineering, EE or comparable discipline preferred, • Eight plus years of hands on firewall design, implementation, and change management experience with physical and\or virtual Next Generation firewalls., • Three plus years of hands on experience working with cloud implementations, • Extensive knowledge with relevant experience in at least five of the following categories:, • Serve as a project lead or a project member on projects of varying size and complexity and risk., • Third party and VPN connectivity architecture and design, • DMZ network segmentation design best practices, • Intrusion Detection/Prevention System tuning, • Security hardening and configuration techniques, • Application firewall design, • Antivirus / Endpoint protection design and implementation, • Patching and vulnerability remediation management, • Web Proxy architecture / design, • Cloud (IaaS, PaaS, and SaaS) hosted security solutions, • PKI and certificate management concepts, • Preferred security certifications:, • PCNSA, • Microsoft Azure security Engineer Associate, • CISSP, • GSEC, • GCIH, • GMON, • Sufficient level of knowledge in other technical areas such as database management and networking so incumbent can represent his/her area on major cross functional problems that span other areas, • Broad knowledge of monitoring tools, • Diagramming using Visio or equivalent tools, • Excellent organizational skills and superior troubleshooting / problem solving ability

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 28 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: Position Summary: We are seeking a highly skilled Sr. Engineer, IT Security to lead enterprise-wide cybersecurity initiatives and strengthen our security posture across on-premises and cloud environments. This role involves designing and implementing advanced security solutions, including Zero Trust, DLP, Cloud Security, Network Segmentation, IAM, and Security Automation. The ideal candidate will collaborate with cross-functional teams to identify risks, develop mitigation strategies, ensure regulatory compliance, and proactively defend against evolving threats while safeguarding our systems, data, and infrastructure.Responsibilities: • Design, build, deploy, and maintain enterprise security technologies and solutions aligned with business objectives, compliance requirements, and the cybersecurity program., • Develop, document, and enforce security policies, standards, and procedures based on frameworks such as NIST, CIS, ISO 27001, and SOX while advancing overall security maturity, governance, and processes., • Lead strategic security initiatives, including Zero Trust architecture, Data Loss Prevention (DLP), Cloud Security, Network Segmentation, IAM, Endpoint Security modernization, and security automation., • Manage and improve email security, DNS security, and other protective controls to defend against phishing, malware, data exfiltration, and domain-based threats., • Lead vulnerability management programs and drive remediation efforts, providing visibility into risks and progress to stakeholders., • Oversee incident response lifecycle—detection, analysis, containment, remediation, post-incident review—and continuously enhance disaster recovery and business continuity plans., • Monitor and analyze security events and network activity (e.g., traffic analysis, host behavior, forensics, kill chain, Windows event analysis), tuning tools, and event correlation for accurate threat detection., • Collaborate with IT, DevOps, and digital teams to embed security into system design, application development, deployment pipelines, and cloud infrastructure., • Evaluate and review vendor and partner security practices to ensure alignment with organizational standards., • Produce regular security dashboards and metrics to report on incidents, threats, and operational effectiveness., • Lead security awareness training, mentor junior engineers, and guide cross-functional teams on secure design principles and best practices., • Stay current on emerging threats, vulnerabilities, and technologies to enhance enterprise resilience.Requirements:, • Bachelor’s degree in Computer Science, Cybersecurity, or related field; Master’s preferred., • 7+ years of experience in information security engineering, architecture, or operations., • Expertise in cloud security (AWS, Azure, GCP), data protection, IAM/SSO/MFA, email and DNS security, and secure network architecture., • Hands-on experience with key security technologies: firewalls, VPN, NAC, EDR/MDR, IPS/IDS, SIEM, DLP, vulnerability management, and email security platforms (Proofpoint, Mimecast, Microsoft 365 Defender)., • Strong understanding of Zero Trust, endpoint protection, DevSecOps, security automation, and scripting (Python, PowerShell, Bash)., • Proven ability to lead incident response, risk assessments, threat detection, and remediation efforts., • Experience implementing DNS protection solutions (Cisco Umbrella, Cloudflare, Infoblox, Valimail)., • Knowledge of security frameworks and compliance standards: NIST CSF, CIS Controls, ISO 27001, SOX., • Demonstrated success in leading security awareness programs, mentoring team members, and advancing security program maturity., • Relevant certifications preferred: CISSP, CISM, CISA, GIAC, Microsoft Security certifications, AWS Security Specialty, Azure Security Engineer Associate., • Strong communication, leadership, and ability to manage multiple security initiatives.Must Have:Strong Technical Security Foundation & Architecture, • Deep knowledge of network, cloud, and endpoint security., • Hands-on experience with firewalls, SIEM tools (e.g., Splunk, Sentinel), EDR/XDR, IAM, and vulnerability management., • Understanding of encryption, authentication, and secure architecture design.Incident Response & Threat Management Skills, • Ability to detect, analyze, and respond to security incidents effectively., • Skilled in log analysis, threat hunting, and forensics., • Familiarity with MITRE ATT&CK, common attack techniques, and SOC operations.Risk Assessment & Communication, • Strong ability to assess vulnerabilities, prioritize risks, and implement mitigations., • Can translate technical findings into business impact and communicate clearly with both technical and non-technical teams.

Job DescriptionPosition Summary The AI/Cloud Security Engineer is responsible for testing, installing, configuring, and maintaining cloud security solutions/tools. Additionally, AI/Cloud Security Engineer communicates findings, incidents, and concerns to security team members and leadership in a timely manner. The AI/Cloud Security Engineer should possess a strong background in AI usage to secure MedReview’s Cloud and AI Infrastructure. This role is onsite Monday - Thursday and remote on Fridays. Job Responsibilities: • Standardizing Azure Security best practices, processes, and procedures., • Experience using AI/ML-driven security tools for anomaly detection, behavioral analysis, bias testing, and threat intelligence correlation., • Ability to design, deploy, and tune AI-based security models to identify malicious traffic, lateral movement, and zero-day threats., • Proficiency in integrating AI-powered SIEM, SOAR, NDR, and XDR platforms to automate incident detection and response., • Knowledge of adversarial AI risks, including model poisoning, evasion attacks, and data integrity threats, and how to mitigate them., • Experience using AI to reduce false positives, prioritize alerts, and improve mean time to detect (MTTD) and respond (MTTR)., • Extensive Knowledge of utilizing and implementing Microsoft Purview and all its features. DLP, Auditing, etc., • Microsoft Entra Internet Access, Microsoft Entra Private Access, and Global Secure Access, • M365 Compliance and Security Centers, • Collaborating with team members to develop and document security standards and policies that align with industry’s best practices., • Finding gaps with the current security posture and assisting with finding new security products, installation, configuration, and policies & procedures., • Monitoring cloud infrastructure for security breaches. Security incident response and forensic investigation., • Investigations into how incidents and/or breaches occur and Root Cause Analyses (RCA) as a member of the incident response team., • Participation in security tabletop exercises.Required Experience:, • Very strong hands on 5-10 years' experience in Cloud Information Security and AI Security Engineering., • Must demonstrate hands-on experience levering AI and machine learning technologies to enhance overall security., • Strong Identity and Access Management (IAM), Role-Based access Control (RBAC) experience, • Strong Purview Environment Experience, • Experience monitoring Cloud Infrastructure and systems for security breaches or intrusions and working with SOC team to remediate., • Experience in some specific vertical industry (Healthcare) preferred., • Documentation of security tools, deployment configuration, incident reports, etc., • CISSP, CISM, CISA, CCSP, ITIL, IaaS, PaaS, SaaS, Azure Security Engineer Associate, or other related certification preferred., • Ability to communicate technical information in a clear manner, both written and verbally, to end users, • Experience with HIPAA, HITRUST, ISO 42001 ISO 27001, ISO 27002, URAC regulations and awareness and/or experience with CMS, NIST and other healthcare related regulations preferred., • Availability to work nights and weekends during (un)planned outages and other special circumstances, with 24/7 accountability., • Availability to enter on call rotation. FZS0onPR06

Job Description Capnexus is a global technology partner delivering end-to-end software solutions for companies across multiple industries, including insurance and fintech. Evolving from Capstone Integrated Solutions, with strong roots in retail software development, we combine deep engineering expertise with a build-as-a-service approach, enabling our clients to design, develop, and scale high-quality digital products efficiently. Our teams consist of experienced professionals who specialize in building scalable, cloud-native solutions, with a strong focus on outcomes, delivery, and long-term partnerships. We provide a full spectrum of services including product development, system architecture, integration, implementation, and ongoing support, allowing our clients to rely on a single, dedicated team to drive their technology initiatives forward. Who You Are and What You'll Do: Capnexus is looking for a Senior Full Stack Engineer to join a high-impact insurance project. You will work within a multinational, diverse team building scalable, cloud-native solutions for a modern insurance platform. This role is ideal for an engineer who thrives in serverless environments, enjoys working across the stack, and is comfortable collaborating in a fast-paced, distributed setting. Responsibilities: • Design, develop, and maintain scalable full stack applications using React.js and TypeScript, • Build and optimize backend services using AWS Lambda (serverless architecture), • Develop and integrate APIs using AWS AppSync, GraphQL and WebSockets for real-time features, • Work with DynamoDB and PostgreSQL for efficient data modeling and storage, • Collaborate with cross-functional teams (engineering, product, QA) in a distributed, multinational environment, • Ensure high performance, scalability, and reliability of applications in AWS, • 5+ years of professional experience in software development, • Strong hands-on experience with TypeScript and React.js, • Proven experience building backend services with AWS Lambda (must-have), • Solid experience with AWS ecosystem (e.g., API Gateway, AppSync, S3, CloudWatch), • Knowledge of Infrastructure as Code (Terraform, CloudFormation), • Experience working with DynamoDB and PostgreSQL, • Experience with real-time technologies (WebSockets or similar), • Understanding of serverless architecture and microservices principles, • Experience with REST and/or GraphQL APIs, • Familiarity with CI/CD pipelines and Git-based workflows, • Experience with AI tools, AI agents, or LLM integrations (e.g., Qwen or similar), • Bachelor's degree in Computer Science or a related field, • AWS certifications (e.g., Solutions Architect, Developer Associate, or similar), • Experience in insurance domain "Our Culture": At Capnexus, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: "A Customer Obsessed, Delivery Focused, Culture" • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters Job Type: Full-time Benefits: • Competitive salary based on experience, • Dental insurance, • Flexible spending account, • Health insurance, • Life insurance, • Paid time off, • Vision insurance, • Work Location: Remote Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we'rededicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. Please note live coding will be required as part of the interview process to assess practical problem-solving and coding skills. No Agencies Please!

Job DescriptionJob Title: Security EngineerLocation: 100% RemoteDuration: 6 months Contract To Hire About the Position Company X is seeking an exceptional Security Engineer to join its IT Security Team in our New York office. This person will join a distributed, highly collaborative team that is responsible for the setup and maintenance of security equipment for a global network. The successful candidate will demonstrate strong technical skills and will have the technical credibility to be a participant in the architecture, design, and implementation of complex security solutions including interconnectivity with third party partners and market data providers and DMZ configuration and hardening. In addition to exceptional technical skills, the ideal candidate will demonstrate an ability to provide the highest level of support for troubleshooting incidents. Experience with updating problem records in an incident tracking system is needed and he or she must be comfortable interacting with various individuals or in an ever-changing environment. This person will help to work on projects where close coordination and communication is required with other areas such as the networks, database management, system services, and application development organizations. The ideal candidate will have at least five years of hands on technical experience with firewall design and implementation with physical and\or virtual Next Generation firewalls and will have at least three years of experience in working with cloud implementations. Experience with automation technologies such as Ansible Tower would also be helpful. Specific Responsibilities: Operational management of security platforms including, but not limited to, firewalls, load balancers, web proxies, certificates, endpoint security technologies. • Documentation and implementation of firewall policy and rule changes., • Manage physical equipment such as the rack, stack and installation of security equipment in any company location including enterprise data centers, • Assist in supporting the security platforms protecting our enterprise systems and environment, • Assist and train team members in the use of cloud security tools and the resolution of security issues, • Provide technical support for complex, medium to high risk systems problems, • Instill cooperation and/or resolve problems on security related activities that span other areas such as network, database management, applications development, and other systems related areas, • Implement automated approach to delivering key security management processes, • Communicate security risks and solutions to business partners, platform & product teams, • Serve as a project lead, or a project member, on projects of varying size and complexity and risk., • Develop procedures for automating security tasks during build and deployment, • Assist in design documentation, project plan development and implementation of new security platforms and technologies. Skills & Experience Required, • Bachelor’s degree with a degree in Computer Science, Computer Engineering, EE or comparable discipline preferred, • Five plus years of hands on firewall design, implementation, and change management experience with physical and\or virtual Next Generation firewalls., • Three plus years of hands on experience working with cloud implementations, • Extensive knowledge with relevant experience in at least five of the following categories:, • Third party and VPN connectivity architecture and design, • DMZ network segmentation design best practices, • Intrusion Detection/Prevention System tuning, • Security hardening and configuration techniques, • Application firewall design, • Antivirus / Endpoint protection design and implementation, • Patching and vulnerability remediation management, • Web Proxy architecture / design, • Cloud (IaaS, PaaS, and SaaS) hosted security solutions, • PKI and certificate management concepts, • Preferred security certifications:, • PCNSA, • Microsoft Azure security Engineer Associate, • CISSP, • GSEC, • GCIH, • GMON, • Sufficient level of knowledge in other technical areas such as database management and networking so incumbent can represent his/her area on major cross functional problems that span other areas, • Broad knowledge of monitoring tools, • Diagramming using Visio or equivalent tools

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

Job Description Summary The Associate Program is a fast paced, ultra-high intensity program that will take an inexperienced engineer and prepare them for working on AWS projects with the largest, most demanding, customers in the financial services industry. The program is designed to enable high-potential individuals with hands-on experience to amplify their skills in an inspiring and safe environment. They will gain exposure to practical tools, strategies, and best practices for becoming a high-performing leader. Working interactively with other participants and organizations, they will develop key skills in the areas of innovation, communication, and adaptability—some of the most sought-after skills in business today. Hybrid work environment Responsibilities * Read, comprehend, and present on AWS best practices and strategies * 2+ years' work experience design and implement proof-of-concept (POC) cloud solutions as part of the program. * Build and deploy infrastructure and automate operations * Design and automate security and compliance solutions * Design AWS Data Lake implementations * Design and Develop AWS Data Quality and Governance solutions * Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud * Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings. * Assist with technical briefs that document solutions * Assist with reference architecture implementations * Support internal and external brand development through thought leadership: * Work with Marketing/Alliances to write blog posts Sample Activities You’ll Do Creating a Self-Service Account Framework * Development of POC code for automating the implementation of AWS account setup and configuration * Account Framework - Developing an automated Continuous Delivery Pipeline framework that will be used to establish AWS Accounts to configured, tested infrastructure on AWS in a repeatable, reliable and secure manner eliminating the need for manual intervention. * Security Control Policies - Development of the Service Control Policies and account baselines associated with the Customer’s security and compliance requirements Creating a Self-Service Environment Framework * Development of POC code to automate the implementation of application infrastructure code: * Infrastructure-as-Code - Development of Infrastructure-as-Code specific to each application that can be used to automate the delivery of configured AWS resources specific to the requirements of the application being deployed. * Configuration Management - The development of configuration management modules specific to each application used to automate the configuration of servers including software installation and configuration * Service Catalog Pipeline - Development of a framework for orchestrating build, test, deployment, and validation of infrastructure automation code. Creating a Self-Service Pipeline Framework * Development of POC code to automate the implementation of pipelines: * Pipeline Skeletons - Development of Infrastructure-as-Code specific to pipelines that can be used to automate the delivery of configured AWS resources specific to the requirements of the application being deployed. Creating a Self-Service Compliance Framework * Development of POC code to automate the implementation of controls: * Policy Definition – Identification and documentation of Customer Policy in the form of specific statements that must be true about configuration of AWS resources * Policy-as-Code Development – Development of the logical tests associated with each of the policies established to be used to assert the configuration state of infrastructure on AWS in order to block a build in the pipeline, take automated reactive action, or alert on violations to the policy * Framework Development – A design allowing for the execution of logical tests against infrastructure code or running AWS infrastructure in order to assert the configuration state of infrastructure resources on AWS and block a build in the pipeline, take automated reactive action, or alert on violations to the policy AWS Data Architecture and Data Lake Implementation * Development of POC code for data collection, data ingestion and catalog, data storage and data serving designed to optimize the efficiency in which information is accessed, curated, served and analyzed from up to two on-premises data sources.: * Build Data Lake in AWS using AWS analytics in a multi-account environment. * Modern big data lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources. Relevant Technical Tools * Primary Languages – Python, Bash * Tooling, Services & Libraries – Jenkins, Docker Relevant AWS Services * AWS Infrastructure Scripting – CloudFormation, AWS CLI, AWS CDK * AWS Storage Services – S3 * AWS Compute Services – EC2, Lambda * AWS Database Services – RDS, DynamoDB * AWS Networking Services – VPC, Route53, API Gateway * AWS Developer Services – CodePipeline, CodeBuild, CodeCommit, CodeDeploy, AWS Cloud9 * AWS Management and Governance Services – AWS Organizations, CloudWatch, Auto Scaling, Config, CloudTrail, Service Catalog, Systems Manager * AWS Security, Identity, Compliance Services – IAM, Key Management Service, The Company Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years’ experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. Powered by JazzHR iRZpycErNB