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Job DescriptionAbout Us Globaledit, a division of CoCreativ, is the leading SaaS platform for creative production workflow management. Our platform empowers top brands, retailers, and entertainment companies to collaborate more efficiently and bring content to market faster. We are expanding our product team to build new features, improve platform usability, and integrate emerging technologies that drive creative productivity. About the Role We’re looking for a Senior DevOps Engineer to take ownership of our cloud infrastructure, deployment pipelines, and system monitoring. This role is ideal for someone who is highly autonomous, thrives in complex problem-solving, and is passionate about building resilient, scalable serverless systems. You’ll play a critical role in ensuring our engineering teams can deploy code safely and efficiently, while continuously improving our AWS environment and DevOps processes. This role requires someone who’s just as comfortable rolling up their sleeves to debug a critical incident as they are stepping back to identify long-term architectural improvements or cost optimization opportunities. What You’ll Do • Own our AWS serverless infrastructure, including Lambda, API Gateway, Step Functions, S3, ECS, EFS, Route 53, and CloudFront., • Design, build, and maintain CI/CD pipelines, primarily in Azure DevOps (or comparable tools like TeamCity, GitHub Actions, etc.)., • Debug and resolve infrastructure issues end-to-end, understanding how data flows through our system and proactively identifying points of failure., • Implement and lead best practices for monitoring, alerting, and incident response using Datadog., • Establish and manage DevOps backlogs, priorities, and tasks independently, without needing constant direction., • Champion operational excellence by driving initiatives that reduce incidents, improve observability, and increase deployment confidence., • Collaborate closely with backend and frontend engineering teams to support deployment, configuration, and production readiness of new services., • Identify opportunities for cost savings and infrastructure right-sizing and drive those initiatives through to completion., • Contribute to documentation, process improvement, and DevOps tooling—leveraging automation wherever possible. Who You Are • 7+ years of DevOps or SRE experience, with at least 5 years in a Senior or Lead role., • Deep knowledge of AWS services, particularly in serverless architectures., • Strong understanding of how data flows through cloud-based systems, and where failures are likely to occur., • Proficient with CI/CD pipelines—experience with Azure DevOps is preferred, but equivalent tools are acceptable., • Skilled in debugging, root cause analysis, and proactive infrastructure monitoring, ideally using Datadog., • Comfortable with coding and scripting (C#, NodeJS, Bash, etc.) and able to build infrastructure solutions hands-on., • Self-starter—you take initiative, organize your work, prioritize effectively, and don’t require micromanagement., • Calm under pressure during incidents, but focused on preventing them through automation and systems design., • Excellent communicator who can explain technical problems and solutions to various stakeholders. Nice to Have • Advanced AWS knowledge and certifications, • Experience with SRE practices, SLOs, SLIs, and service monitoring, • Cost optimization experience in AWS environments, • Previous experience building observability systems with Datadog from the ground up, • Hands-on development experience from ideation to production deployment, • Comfortable coding solutions without over-reliance on AI coding tools, but savvy in using them for productivity when appropriate Benefits The anticipated salary range for this role is $150,000 - $175,000 annually. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience, and skills relative to the defined job requirements. This is a hybrid role with several days per week onsite in our studios in Tribeca and requires flexibility to work in-office and remotely. We offer a competitive benefits package including major medical, dental and vision insurance, FSA, HSA, and employee discounts. Industrial Color is a division of CoCreativ, a family of integrated creative production companies. Industrial Color partners with top brands, agencies, and creative professionals providing a full range of essential production services. For over 30 years, we've led the industry through a culture of innovation, bringing state-of-the-art digital production and post-production solutions to our clients. Our headquarters is based in Tribeca, NY, with offices in Los Angeles and studios in Brooklyn and Los Angeles. Our clients include: L'Oreal, Publicis, Procter & Gamble, Tommy Hilfiger, Absolut Vodka, Nike, Estee Lauder, Amazon.

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

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

Job Description We’re looking for a senior, hands-on software engineer to design, build, and operate LLM-powered and agentic workflows that support real production use cases—not research demos. This role sits at the intersection of backend engineering, applied AI, and production infrastructure. You’ll work on systems that handle sensitive healthcare data, integrate AI into user-facing workflows, and run reliably at scale under strict security and compliance constraints. This is an individual contributor role with high ownership. You’ll be expected to make pragmatic technical decisions, collaborate closely with product and operations, and help shape how AI capabilities are integrated into the broader platform. What You’ll Be Doing * Designing and operating LLM-powered and agentic workflows end-to-end * Integrating AI capabilities into backend and product workflows * Building and maintaining secure, compliant systems for sensitive healthcare data * Making technical decisions around security, compliance, cost, performance, and scalability of AI workloads * Implementing monitoring, alerting, and observability for AI pipelines and production services * Collaborating cross-functionally with engineering, product, and operations teams * Mentoring engineers on backend best practices and applied AI workflows Must-Haves * 5+ years of professional software engineering experience * Strong backend and/or full-stack engineering background from B2B SaaS or product-driven startups * Experience deploying secure, reliable systems on cloud platforms (AWS, GCP, or Azure) * Demonstrated ability to build and operate production systems, not just prototypes * Comfort working with non-engineers and translating product requirements into technical solutions * Hands-on experience integrating LLMs into real applications (prompting, orchestration, evaluations, or agents) This role favors engineers who have owned AI workflows in production, not candidates coming purely from research, data science, or director-level roles. Nice-to-Haves * 1+ year of experience designing AI workflows end-to-end in production * Experience leading AI infrastructure or platform projects at an early-stage startup * Contributions to engineering architecture or coding standards * Experience with containerization and orchestration (Docker, Kubernetes) * Infrastructure-as-code experience (Terraform, Pulumi) * Exposure to early-stage product ideation for AI-enabled features What This Role Is (and Isn’t) * A senior IC role with strong ownership * Applied AI + backend engineering, focused on real users and real constraints * Startup environment with cross-functional collaboration * Not a director-level or people-management role * Not an AI research or purely scientific role * Not suitable for candidates without hands-on LLM or agentic workflow experience * Not remote-only or relocation-friendly Location & Work Setup * Location: New York City * Work model: Hybrid (in office Monday, Wednesday, Thursday) * Relocation: Not available * Visa sponsorship: Available Compensation * Base salary: $190,000 – $250,000 * Equity: Offered (details TBD)

Job Description About the Role: We are seeking an exceptional Senior Full Stack Engineer to join our elite team. In this role, you will play a pivotal part in building both the frontend and backend services for Brkfst. Your responsibilities will extend to collaborating with our data science team to host models and deliver them through APIs. We are looking for engineers who can demonstrate a "bias to ship" mindset and a strong sense of urgency. Our goal is to assemble small teams of highly talented individuals who can independently solve problems and self-organize to achieve our objectives. Responsibilities include but are not limited to; • Full Stack Development: Lead the development of both frontend and backend services for Brkfst's innovative solutions., • RESTful Design: Create robust and scalable APIs following RESTful design principles., • Microservices Architecture: Design and implement microservices architecture to ensure flexibility and scalability., • Collaboration: Collaborate closely with product managers, data scientists, and TPMs to understand requirements and deliver high-impact solutions., • Model Hosting: Work with the data science team to host machine learning models and deliver them through APIs for integration into our products., • Autonomy: Operate with a high degree of autonomy and self-organization to drive projects forward without extensive oversight., • Bachelor's or Master's degree in a related field., • Proven experience as a Full Stack Engineer with a track record of delivering high-quality software., • 5+ years of experience in coding and programming with TypeScript, Python, or similar languages., • 3+ years of experience working with relational databases like MySQL or PostgreSQL., • 3+ years of experience working with front-end JavaScript libraries such as React, Angular, or Vue., • Proficiency in Docker containerization., • Hands-on experience with CI/CD pipelines and tools such as Azure Pipelines, Jenkins, or GitHub Actions., • Knowledge of cloud platforms (AWS, Azure, GCP)., • Experience with Scrum & Agile Methodologies., • Proficiency in RESTful API design and microservices architecture., • Excellent communication skills and the ability to work collaboratively in a cross-functional team., • Self-motivated, proactive, and able to work independently with minimal supervision., • Ability to quickly understand complex problems and devise effective solutions., • Familiarity with Event-Driven Architecture is a plus., • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Level 1 - $141,000-$171,300, • Possesses essential capabilities, • Level 2 - $171,300-$201,600, • Possesses developing capabilities, • Level 3 - $201,600-$231,900 Possesses notable capabilities. • Level 4 - $231,900-$262,200, • Possesses strong capabilities, • Level 5 - $262,200-$292,500, • Possesses advanced capabilities. About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de México, CDMX 06500, México

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

Job Description We are looking for a skilled DevOps Engineer to join our Engineering team. In this role, you will report directly to the Director of Engineering and be responsible for building and maintaining the infrastructure, tools, and processes that power our platform at scale. You will work closely with the Software Engineers and the Product team to ensure our systems are reliable, scalable, and secure. You'll own our CI/CD pipelines, cloud infrastructure, and observability stack — and play a key role in shaping how we build and ship software. What you will do • Design, build, and maintain our cloud infrastructure., • Manage and scale Kubernetes clusters, Helm deployments, and GitOps workflows using ArgoCD., • Build and improve CI/CD pipelines to enable fast, reliable deployments., • Monitor system health and respond to incidents., • Manage data pipelines and database infrastructure (Aurora, Snowflake, CDC pipelines)., • Partner with the Director of Engineering to define and execute infrastructure strategy., • 2+ years of experience in a DevOps, SRE, or an Infrastructure Engineering role., • Strong experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes., • Hands-on experience with ArgoCD, GitOps principles, and Crossplane., • Experience with CI/CD tools and solid scripting skills in Bash and Python., • Excellent communication skills to effectively communicate complex technical information to non-technical team members and stakeholders., • Experience with data infrastructure (Snowflake, CDC pipelines, Aurora)., • Experience deploying and managing AI agents in production environments. GTpwF7XxEW

Job DescriptionSalary: $130,000 $140,000 Data Engineer FLSA Classification: Exempt Professional Position Summary The Data Engineer serves as a consultative technology partner to the business, responsible for designing, building, and optimizing data and automation solutions that improve operational efficiency, reporting accuracy, and decision-making across the organization. This role exercises independent judgment and advanced technical expertise while working directly with senior stakeholders. Essential Duties and Responsibilities • Partner with business stakeholders to identify automation and data optimization opportunities., • Translate business requirements into scalable technical architecture and solutions., • Architect, build, and optimize structured data pipelines and reporting environments using Azure SQL, Power Query, and related data technologies., • Implement and manage automation platforms in collaboration with vendors or internal teams, including Power Automate, Monday.com, Workato, and Power BI., • Experiment with AI tools such as ChatGPT and Microsoft Copilot to identify practical, scalable use cases., • Assess feasibility, limitations, and risks of AI-driven solutions, escalating mature ideas to specialized tools or applications when appropriate., • 5+ years of experience in data engineering, automation, or business-facing technical roles., • Advanced experience with relational databases (e.g., Azure SQL) and data transformation tools., • Experience implementing business process automation platforms., • Experience in Private Equity, financial services, or regulated environments, • Experience with Power BI reporting environments, • Exposure to enterprise AI/ML implementations Primarily office-based work requiring prolonged computer use and the ability to sit for extended periods. Compensation The base salary range for this position is $130,000 $140,000 annually. Final compensation will be determined based on experience, skills, and internal equity. Employment Statement Chelsea Tech is an at-will employer. This job description is intended to describe the general nature and level of work being performed and is not intended to be an exhaustive list of all responsibilities, duties, and skills required. Chelsea Tech is an equal opportunity employer and complies with all applicable federal, state, and local employment laws.

Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing toproprietary AI infrastructure, youll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. Youll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: • Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications., • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain., • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference., • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions., • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD)., • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration., • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments., • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain., • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock)., • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes., • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines)., • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques., • Prior exposure to government or highly regulated cloud environments and compliance standards.

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 the Staff Machine Learning Engineer (VP) on the ML Engineering team, you will be responsible for designing, deploying, and scaling advanced ML systems that power core business functions across the enterprise. Reporting to the Executive Director of ML Engineering, you will play a critical role in building production-grade ML infrastructure, reusable frameworks, and scalable model pipelines that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will act as a technical thought leader and strategic partner, shaping the organization's machine learning engineering practices and fostering a culture of operational excellence, reliability, and responsible AI adoption. Key Responsibilities: • Architect and deploy ML systems and platforms that solve high-impact business problems across regulated enterprise environments., • Lead the development of production-ready pipelines, including feature stores, model registries, and scalable inference services., • Champion MLOps best practices (CI/CD for ML, model versioning, monitoring, observability) to ensure models are reliable, reproducible, and cost-efficient., • Partner with Data Scientists to operationalize experimental models, enabling scalability and generalizability across diverse business domains., • Integrate emerging ML engineering techniques (e.g., LLM deployment, fine-tuning pipelines, vector databases, RAG systems) into enterprise-ready solutions., • Own the design of foundational ML platforms and frameworks that serve as building blocks for downstream AI applications., • Embed controls, governance, and auditability into ML workflows, ensuring compliance with regulatory standards and responsible AI principles., • Collaborate with Engineering, Product, and Security teams to embed ML-driven decision-making into enterprise platforms and workflows., • Define and track engineering and model performance metrics (latency, scalability, cost, accuracy) to optimize systems in production. Qualifications: • 8+ years of experience building and deploying machine learning systems in production environments at enterprise or platform scale., • Proven track record of leading ML engineering projects from architecture to deployment, including ownership of production-grade systems., • Deep expertise in ML frameworks and engineering stacks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow)., • Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++)., • Strong understanding of cloud ML infrastructure (AWS SageMaker, GCP Vertex AI, Azure ML) and containerized deployments (Kubernetes, Docker)., • Hands-on experience with data and model pipelines (feature stores, registries, distributed training, inference scaling)., • Knowledge of observability and monitoring stacks (Prometheus, Grafana, ELK, Datadog) for ML system performance., • Experience collaborating with cross-functional teams in regulated industries (finance, insurance, health) with compliance and governance needs., • Exceptional communication and leadership skills, with the ability to translate complex engineering challenges into clear business outcomes., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing, deploying, and integrating ML solutions in enterprise ecosystems., • Exposure to LLM and GenAI engineering (fine-tuning, vector search, distributed inference)., • Experience optimizing GPU clusters, distributed training, or HPC environments., • 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 salary for this position is $290,000-$300,0000. 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 DescriptionSr. Azure DevSecOps Engg. Location - NJ Need 2-3 days onsite ( Hybrid ) . Need candidates only with 12 + years experience . No H1B Transfer Candidates OR OPT/CPT This is a DevSecOps Role and not DevOps. Strong Azure Services, SAST/DAST , GitHub, Kubernetes, AKS , Terraform and Python Scripting experience is required. Our client is seeking a highly skilled DevSecOps Engineer to design, build, and maintain secure and scalable CI/CD pipelines for application and database deployments. Key Responsibilities: Design and maintain CI/CD pipelines for applications and databases using tools such as Azure DevOps, Jenkins, Smart City, GitLab CI, or GitHub Actions. Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or Helm. Integrate automated testing frameworks (junit, Slenium etc) and code coverage tools (e.g., SonarQube etc). Embed static and dynamic security scanning tools (SAST/DAST) into pipelines. Implement and monitor database CI/CD workflows for version-controlled schema migrations. Ensure secure secrets management using Azure Key Vault. Continuously monitor pipeline performance and enforce compliance, code quality, and security policies. Collaborate with application and database developers to optimize release strategies and rollback mechanisms. Conduct incident response drills, threat modeling, and vulnerability assessments within CI/CD contexts. Document DevSecOps processes and provide training to development teams on security and best practices. Required Skills & Experience: Proven experience with DevSecOps practices and tools. Proficiency in CI/CD platforms like Azure DevOps, Smart City, GitHub Actions, GitLab CI, or Jenkins. Solid understanding of cloud platforms (Azure, ). Experience with IaC tools like Terraform, CloudFormation. Strong background in code testing frameworks and code quality tooling (JUnit, SonarQube, etc.). Hands-on with database CI/CD, schema versioning, and database migration practices. Experience with containerization (Docker) and orchestration (Kubernetes, AKS). Familiarity with secure coding principles and compliance standards. Strong scripting skills in Python, Bash. Preferred Qualifications: Certifications: Azure DevOps Engineer. Experience with monitoring and observability tools. Experience in multi-cloud or hybrid-cloud DevSecOps pipelines. Familiarity with data masking, auditing, and encryption in the database CI/CD context. Flexible work from home options available.

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious Software Engineer specializing in Go as a core employee to help build robust backend systems supporting the Verneek AI platform! You'll get to work on complex AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! Responsibilities • Design, implement, and maintain scalable backend services and APIs using Go, • Collaborate with cross-functional teams to define system architecture and integration strategies, • Troubleshoot and optimize existing backend systems for performance and reliability, • Write clean, maintainable, and well-documented code with a strong emphasis on testing, • Ensure system security, data protection, and adherence to compliance standards, • Bachelor's degree in Computer Science or a related field, • 3+ years of professional experience in developing backend systems using Go, • Strong understanding of microservices architecture and RESTful API design, • Experience with cloud services (AWS, Google Cloud, or Azure), • Familiarity with containerization technologies such as Docker and Kubernetes, • Ability to work in an agile environment with rapid iteration cycles Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact.

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

Job DescriptionAbout Fusemachines 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.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Senior Specialty Solutions Engineer-Network, will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies. As a member of our Specialty Solutions Engineering team, you will be considered an organizational thought leader for this marketplace. Pre-sales experience is a key component of this role. You will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout a given campaign. Time management and prioritization are essential attributes to being successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. AHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network Architect.” A core tenet and base requirement for this position is deep understanding of Campus wired and wireless technologies. Understanding and mastery of other areas like Datacenter and cloud networking technologies are a plus. Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desire to focus not only on traditional on-premise solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies. Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities: • Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure, • You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships, • As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients, • Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate, • Strategizes and executes technical sales calls, • Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately, • Qualifies sales opportunities in terms of customer technical requirements, decision making process and funding, • Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management, • Participates in mentorship of entry-level team members, • Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications Base Skills:, • Network Infrastructure Experience, • Strong wireless skills (certifications highly looked upon), • Wireless principles/site survey/Ekahau knowledge), • Strong Campus/LAN skills (Cisco and other OEM vendors), • Cisco certifications are highly recommended, • Cisco Nexus Technologies, • IP Routing Protocols, • Cisco Core Datacenter Technologies, • Network Management, • Network Security (Palo Alto/Fortinet) tenants along with SASE knowledgeOther Skills:, • VMware / VMware NSX, • Arista, • Automation skillset, • F5 / NetScaler, • Amazon AWS, Azure, Cloud connectivity and network fundamentals Education & Experience:, • Bachelor’s degree in computer science, Engineering, or equivalent, • Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills., • Experience working as a technical lead in a pre-sale’s sales campaign, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self-motivated, a self-starter and possess a good working attitude, • Able to work well within a team and partner environment, • Customer focused and results driven This role is located on the east coast...preferably in the NY Metro area. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits for additional details. Use of AI:We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at . You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out.

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 Job Title: Security Engineer/Architect - IAM Duration: 12+ Months (Possible extension) Location: New York, NY 10286 Onsite Role (4 days a week) Responsibilities: • Seeking a hands-on Security Engineer/Architect to design, implement, and govern identity and access management for a FedRAMP-compliant Azure environment using native Microsoft security tooling., • Will own the IAM architecture and control lifecycle—policy design, privileged access, identity threat protection, lifecycle governance, and evidence generation—ensuring NIST SP 800-53 control coverage and audit readiness., • Define and maintain Azure IAM architecture and guardrails: tenant segmentation, RBAC strategy, least privilege, managed identities, Conditional Access, and Just-In-Time access via PIM., • Establish standardized access patterns for workloads, service principals, Managed Identities, and human identities across multi-tenant/multi-subscription Azure footprints., • Design and enforce secure key/secret management using Azure Key Vault (FIPS 140-2 validated modules), including rotation, access policies, and monitoring., • Integrate identity threat protection signals (Entra ID Protection, Defender for Identity) into detection and response workflows; ensure coverage for high-risk scenarios (privilege escalation, token theft, MFA fatigue, legacy protocols). Implementation and Control Enforcement, • Build and maintain Azure Policy/Blueprints to enforce IAM baselines (e.g., MFA requirements, disallow legacy auth, privileged role constraints, Key Vault access policies, managed identity usage)., • Configure Conditional Access, Authentication Strengths, and token controls; manage role assignments, custom roles, and privileged workflows consistent with FedRAMP requirements., • Partner with SecOps to ensure logging/telemetry completeness (Audit logs, Sign-In logs, Entra ID Risk events, Azure Activity logs) and Sentinel ingestion; author KQL-based detections/playbooks for IAM threats., • Maintain IAM control narratives, SSP sections, and evidence packages; support POA&M lifecycle for IAM-related findings and corrective actions., • Lead periodic access certification campaigns for privileged roles and sensitive applications; implement automated recertification workflows and exception governance., • Quantify residual risk and document compensating controls; partner with risk/compliance and 3PAOs on assessments, interviews, and artifact reviews., • Identity & Access: Microsoft Entra ID (Azure AD), PIM, Conditional Access, Authentication Strengths, RBAC, Managed Identities, • Threat Protection: Entra ID Protection, Microsoft Defender for Identity, Microsoft Defender XDR signals, • SIEM/SOAR: Microsoft Sentinel (Log Analytics, Workbooks, Playbooks/Logic Apps), • Posture & Policy: Azure Policy, Azure Blueprints, Azure Automation, • Secrets & Crypto: Azure Key Vault (FIPS 140-2), Key Vault HSM (as applicable), • Bachelor’s degree in Information Security, Computer Science, Information Systems, or related field; equivalent experience considered., • 7+ years in security engineering/architecture, with 3+ years focused on IAM in Azure using native tooling., • Deep hands-on experience with Entra ID (Azure AD), RBAC, PIM, Conditional Access, Managed Identities, and Key Vault—including policy design and enforcement at scale., • Practical knowledge of FedRAMP baselines (Moderate/High), NIST SP 800-53 control families, and audit/assessment processes; experience contributing to SSP/ConMon evidence., • Strong proficiency in Azure Policy/Blueprints and policy-as-code approaches; experience embedding controls into CI/CD., • Ability to design high-fidelity detections and automate incident response for identity threats using Sentinel and Logic Apps., • Experience operating in Azure Government or GCC High tenants and understanding telemetry/control nuances in those environments., • Background in Zero Trust principles, privileged identity strategy, and secure service-to-service authentication patterns., • Familiarity with Microsoft Purview and data access governance for sensitive workloads., • Scripting/automation skills (KQL, PowerShell, Bicep/Terraform basics) to manage identities, enforce policies, and generate evidence., • Certifications: AZ-500 (Azure Security Engineer Associate), SC-300 (Identity and Access Administrator), SC-200 (Security Operations Analyst), CISSP/CCSP, or equivalent.

Job Description Job Description Title: Azure Data Engineer Location: Hybrid/Jersey City, NJ Contract Duration: 12 Months Summary: Senior Azure Data Engineer responsible for designing and building secure data pipelines and centralized data lakehouse solutions for Insider Risk data using Azure technologies. Key Responsibilities * Develop and optimize data ingestion pipelines for Insider Risk data (DSPM, DLP) into the Cybersecurity Data Lakehouse (CyberDW). * Design, build, and maintain scalable data solutions using Azure Synapse, Data Factory, and Databricks. * * Act as a technical liaison between Data Owners, Insider Risk, and Security Engineering teams. * Ensure data security, governance, and compliance across all data processes. * Manage sprint updates, follow-ups, and ensure adherence to Agile SDLC processes. Required Skills & Qualifications * Strong experience with Microsoft Azure (Synapse, Data Factory, Databricks). * Hands-on expertise in building ETL/ELT pipelines and data lake architectures. * Knowledge of data security, governance, and Insider Risk concepts (DLP, DSPM). * Experience working in Agile environments with cross-functional teams. * Azure certifications preferred.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Job DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. This Sales Engineer role will play a key role in driving Samba TV’s sales and revenue efforts by combining technical expertise with consultative selling strategies to position our enterprise products as trusted solutions for clients. This individual will empower sales teams to close deals effectively while emphasizing the measurable value of Samba TV’s offerings in Media Activation, TV measurement, planning, tune-in analysis, and outcomes-based strategies. This role requires a balance of technical skill, consultative sales ability, and a client-focused approach. The ideal candidate will be instrumental in shaping sales conversations, demonstrating how Samba TV’s products solve critical business challenges and deliver ROI while building strong client relationships. Location: This role will be based in Samba TV’s LA or NY office and reports to the Director of Sales Engineering.What You'll Do • Build collaborative relationships with enterprise sales teams as a trusted resource for product and technical expertise., • Enhance sales opportunities by joining first-contact client meetings to present all Samba solutions in a trusted, consultative manner and being able to hone in on the correct product solution, whether that is a measurement use case or data licensing opportunity., • Actively participate in the entire sales cycle, from discovery to closing, leveraging deep knowledge of Samba TV’s offerings to articulate value and drive decision-making., • Promote Samba TV’s products with a sales-focused mindset while maintaining trust by aligning solutions to genuine client needs., • Serve as a trusted advisor, analyzing clients' needs to recommend the best Samba TV products and demonstrating how they deliver results., • Be able to probe a client's business challenges and innovate Samba’s enterprise data solutions or measurement solutions to fit and overcome those challenges, such as recommending tune-in or TV outcomes-based solutions., • Simplify complex technical concepts for non-technical audiences while providing in-depth explanations to technical stakeholders when needed., • Address technical challenges collaboratively with Product and Engineering teams, ensuring smooth implementation and seamless client experiences., • Leverage expertise in media measurement tools, TV tune-in metrics, and outcomes-based analytics to craft technical solutions that demonstrate Samba’s ability to drive success., • Utilize knowledge of APIs, clean rooms, SQL, Python, and cloud platforms like AWS, Azure, or Google Cloud to tailor solutions to client needs., • Ensure Samba’s products integrate smoothly with client systems while highlighting their role in achieving key measurement outcomes., • Identify opportunities for upselling and cross-selling Samba TV’s products, using data insights to guide sales strategies., • Partner with internal teams to align product offerings with market needs, contributing to go-to-market strategies that emphasize measurable client benefits., • Analyze customer feedback and market trends to inform product improvements and refine solution delivery., • Work closely with Sales, Product, and Marketing teams to align strategies and ensure consistent messaging around Samba TV’s value propositions., • Act as a bridge between technical teams and clients, facilitating clear and effective communication to meet client expectations., • Represent Samba TV at client meetings, industry events, and strategic discussions, advocating for our capabilities in trusted and outcome-driven selling.Who You Are, • 2-4 years of experience in roles such as Sales Engineering, Product Management, or a related field in AdTech, Measurement, or MarTech., • Strong expertise in media measurement, TV measurement, and data services., • Hands-on experience with tools and technologies, including SQL, APIs, ETL workflows, and cloud computing platforms., • Exceptional presentation, communication, and interpersonal skills, with a knack for simplifying technical concepts., • Proven ability to pitch, sell, and negotiate with technically minded stakeholders., • Trusted Partner: A natural collaborator who sales teams trust to enhance client interactions and increase deal success rates., • Solution-Oriented: A proactive mindset, capable of identifying challenges and crafting tailored solutions., • Approachable & Friendly: Builds rapport effortlessly with internal teams and clients, fostering a positive and productive environment., • Adaptable: Comfortable navigating changing priorities and market conditions., • Collaborative: Thrives in cross-functional teams and builds strong relationships with internal and external stakeholders.

Job Description Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. What We're Looking For A senior security engineer to help build and evolve an engineering-driven vulnerability management program, focused on turning vulnerability data into clear, actionable risk signals embedded in modern engineering workflows. This role emphasizes automation, systems design, and practical risk reduction across application, cloud, and infrastructure environments. It is not primarily a tool-operations, ticket-tracking, or audit-administration role. What You Will Do You Will: • Design, build, and operate an engineering-first vulnerability management capability for Datavant's applications and infrastructure, with a primary focus on reducing real exploit risk., • Build and maintain automation and data pipelines that ingest, normalize, correlate, and prioritize vulnerability signals across multiple sources, treating vendor tools as inputs rather than systems of record., • Develop self-service, engineer-facing dashboards and workflows that provide clear prioritization and actionable insight, rather than compliance-only reporting., • Partner closely with product and engineering teams to assess vulnerability risk in context, communicate exploitability and impact clearly, and recommend practical remediation or mitigation options., • Embed high-confidence vulnerability signals into existing engineering workflows (CI/CD, PRs, backlogs) to drive adoption with minimal friction., • Drive vulnerability risk reduction by validating that remediation or compensating controls meaningfully reduce exposure, rather than tracking ticket closure alone., • Translate compliance control intent into scalable, low-friction engineering implementations that produce audit-ready evidence through automation., • Serve as a technical subject matter expert during FedRAMP and other assessments by validating controls, remediation effectiveness, and technical evidence, without owning manual audit administration., • Lead and execute technical projects that advance Datavant's vulnerability management and application security capabilities., • Deep technical expertise in vulnerability management and application security, with hands-on experience assessing, prioritizing, and reducing vulnerability risk in modern software environments., • Strong engineering background with demonstrated ability to design, build, and automate solutions (e.g., data pipelines, integrations, workflows, dashboards) rather than relying on manual or tool-driven processes. Python or GoLang strongly preferred., • Practical experience working across application, cloud, and container security in AWS and/or Azure, including real-world vulnerability assessment in complex or multi-cloud environments., • Solid understanding of security controls and assurance goals, with the ability to translate standards such as NIST, CIS, and FedRAMP into low-friction, scalable engineering implementations., • Ability to reason clearly about exploitability, exposure, impact, and compensating controls, and to apply that reasoning to prioritize work that meaningfully reduces risk., • Experience partnering closely with product and engineering teams throughout the software lifecycle, from design and build through deployment and operation., • Strong communication skills, with the ability to explain security risk, tradeoffs, and remediation options to both technical and non-technical stakeholders., • Demonstrated ability to operate effectively in fast-paced environments, delivering impact quickly while navigating ambiguity and limited dependencies., • Broad understanding of how security functions (product security, platform security, GRC, operations) work together, and how vulnerability management fits into the larger system., • Demonstrated technical thought leadership in vulnerability management, with a track record of shaping how risk is modeled, prioritized, and reduced in modern engineering environments., • Prior hands-on experience architecting and building automated vulnerability management or security data platforms, not just operating commercial tools., • Strong systems-level thinking, including experience designing secure, scalable solutions across complex application and cloud ecosystems., • Experience applying security and compliance requirements in highly regulated environments (e.g., healthcare, FedRAMP High/Moderate), including representing technical programs to auditors or government stakeholders. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$184,000—$230,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. About the Role We're seeking a Senior Product Manager, Platform to serve our internal product development squads and help guide us towards the platform of the future for Playlist. This role sits at the intersection of developer experience, infrastructure, security, and software development lifecycle (SDLC) operations. You'll work cross-functionally with engineering, SRE, security, and application teams to deliver intuitive, scalable, and secure platform capabilities that accelerate developer productivity and enable our business objectives. What You'll DoDeveloper Engagement & Advocacy • Be the voice of our internal developers. Collect pain points, usage patterns, and feedback from engineering teams across Mindbody to develop an informed POV on the biggest opportunities for Platform teams to better serve the organization., • Evangelize platform capabilities. Help development squads understand what the platform offers, how to best leverage platform products and other tools, and where opportunities exist for partnership and collaboration., • Roadmap Synthesis: Work with AI tooling and analytics to synthesize this information and integrate it into strategic planning.Platform Strategy & Execution, • Own the platform roadmap across key themes including reliability & performance, platform modernization, developer experience, and operational excellence., • Drive initiatives to improve developer experience, CI/CD workflows, infrastructure abstraction, security, and observability., • Partner with security, compliance, and architecture teams to ensure platform capabilities are scalable, secure, and meet enterprise standards.Measurement & Impact, • Work with platform squads to define North Star metrics and establish a framework for tracking success metrics that demonstrate business impact., • Measure platform adoption and effectiveness., • Communicate the value of platform investments to leadership and stakeholders through data-driven storytelling.What You'll BringRequired, • Enterprise developer tooling experience: Proven track record building "Platform as a Product" either internally at scale or as an external offering., • Developer-focused product management: Deep experience building tools, services, and APIs consumed by developers. You understand what makes developers productive and can translate technical requirements into product strategy., • Technical depth: Ability to engage credibly with engineering teams on technical topics including infrastructure, CI/CD, observability, security, platform architecture, and GenAI Coding Tools., • Hands on experience with one or more of the following areas: Kubernetes ecosystem (EKS, Karpenter, or Kyverno), CI/CD (Github Actions, Azure DevOps), Infrastructure-as-Code (Terraform, Pulumi, or CloudFormation), Observability (New Relic, Datadog, or Grafana), GenAI Coding Tools (Copilot, Cursor), • Cross-functional leadership: Track record of driving complex initiatives across multiple engineering teams, with influence rather than authority., • Data-driven decision making: Experience defining metrics that matter and using data to prioritize, communicate impact, and drive continuous improvement.Nice to Have, • Previous experience as an SRE, software engineer, or in a similar technical role, • Experience with platform modernization and legacy system migrations, • Familiarity with developer portal tools, service catalogs, and internal developer platforms, • Experience in SaaS or B2B environments serving technical audiences, • Experience collaborating and aligning with global teams and moving projects forward asynchronouslySuccess in Your First Year, • 30 Days: Build relationships across platform and application development squads. Establish regular touchpoints with key developer teams and their leaders. Begin synthesizing feedback from support channels., • 90 Days: Deliver a refined platform vision and 2026 roadmap aligned with strategic themes. Launch developer engagement initiatives. Establish baseline metrics for platform health and developer satisfaction., • 6 Months: Drive measurable improvements in key metrics (deployment time, DevEx scores, platform infrastructure adoption). Increase platform visibility and adoption across engineering. Establish the platform as a trusted partner to development teams. As the first dedicated Platform PM, you'll shape not just what we build, but how we think about internal platforms as products. You'll establish practices, metrics, and relationships that will scale with the company for years to come. Pay transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $130k to $175k. The total compensation package for this position may also include performance bonus, benefits and/or other applicable incentive compensation plans. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable). Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

Job DescriptionAbout Us: Torch Dental is a rapidly growing start-up whose mission is to improve the lives of healthcare providers by simplifying supply ordering, providing transparent pricing, and modernizing a previously outdated ordering process. Torch is targeting the $100+ billion office-based healthcare supply industry, starting with dental practices. Our innovative e-commerce software platform streamlines healthcare professionals’ procurement process and secures the best prices for products. This hybrid role sits in our Flatiron office at 49 W 23rd St, Floor 3 - a central NYC spot surrounded by great food, coffee and easy transit. It's a space designed for focused work, fast iteration, and collaboration with others We are a close‑knit team that enjoys working together every day to solve real‑world problems. We obsess over customer satisfaction, promote a strong bias for action, encourage team members to engage in impactful work, and foster a one team culture. Our goal is to create better solutions to help healthcare professionals succeed, and we are looking for people like you to help bring this vision to life. Your Impact: As a Senior Backend Engineer at Torch, you’ll play a key role in evolving our platform’s architecture, building high-performance distributed systems, and developing agentic workflows that power our next generation of AI-enabled product experiences. You’ll design the backend systems that support LLM-powered features at scale - whether that means orchestrating web or voice agents to fetch data, building reliable workflows and safeguards for ingestion and normalization, or ensuring everything operates securely and compliantly. This role is designed to grow with you: engineers at Torch are encouraged to expand their responsibility, deepen technical ownership, and shape the direction of our platform based on their ambition and interests.Responsibilities: • Design, integrate, and operate LLM-powered and agentic workflows for claims data., • Build and maintain HIPAA-compliant systems for sensitive healthcare data., • Lead decisions around security, compliance, cost, performance, and scaling of AI workloads., • Implement robust monitoring, alerting, and observability systems for AI pipelines and production modules., • Collaborate cross-functionally with engineering, product, and operations teams to integrate AI capabilities into Torch’s platform., • Mentor and guide other engineers on best practices on both backend engineering and agentic workflows.What we are looking for:, • 5+ years of experience in software engineering., • Strong experience with cloud platforms (AWS, GCP, Azure) and deploying secure, compliant workloads., • Demonstrated record of building scalable, secure, and reliable systems., • Comfortable collaborating with non-engineers, including product managers, designers, and business stakeholders.Bonus:, • Experience leading AI infrastructure projects end-to-end in a startup environment, • Contributed to architecture or coding standards for engineering teams., • Experience in early-stage product ideation and design for AI-enabled features., • Hands-on experience with containerization/orchestration (Docker, Kubernetes) and infrastructure-as-code tooling (Terraform, Pulumi) for provisioning and managing cloud resources.Compensation and Benefits:, • Salary Range: $190K-$230K, • Comprehensive medical, dental, and wellness benefits, • 401k benefits with Empower, • Unlimited paid time off (PTO), • Maternity and Paternity leave, • Medical and dental coverage with Aetna, • Work from home stipend, • Commuter benefits for hybrid employees, • Fully stocked pantry and fridge for hybrid employees

Job DescriptionCloaked is a privacy startup dedicated to rebuilding consumer trust in how personal data is used. Our vision is to create an internet that serves the needs of its users, first and foremost—with individual privacy and opt-in at the core. Our product is a virtual “cloak” that you use as you visit any website — Facebook, Amazon, etc. It lets you choose to share all, some, or none of your private information based on your personal preference.We're looking for a Senior Site Reliability Engineer to take ownership of the critical infrastructure powering our privacy platform. You'll work directly with our Head of Security and IT to keep services reliable, scalable, and performant as we grow — leading incident response, eliminating toil through automation, and building systems that earn customer trust. This is a high-impact role for an engineer who thrives on ownership and engineering excellence. What will you do? -Define and maintain SLOs/SLAs that balance user experience with engineering velocity-Implement comprehensive monitoring and alerting in Datadog to detect production issues-Build resilient architectures that gracefully handle failures-Establish error budgets and use them to make data-driven decisions about feature velocity vs. stability-Lead incident response as primary on-call for infrastructure, taking critical load off leadership-Conduct thorough, blameless post-mortems to prevent recurrence-Build and maintain runbooks that enable faster resolution-Serve as the first line of defense when production issues occur-Identify and eliminate repetitive manual work through intelligent automation-Build self-healing systems that reduce operational burden-Improve deployment pipelines for faster, safer releases-Own reliability for a platform running on AWS with Kubernetes, ArgoCD, Cloudflare, and Terraform — you'll tackle real challenges like JA4 fingerprint monitoring, cluster upgrades, and scaling infrastructure. What skills and experiences will help you? -Solid experience with Infrastructure as Code (Terraform, CloudFormation, or similar) — building and managing cloud infrastructure programmatically-Deep Kubernetes experience beyond basic deployments — networking, resource management, storage, security contexts, and debugging complex cluster issues-Proficiency in Python, Go, or similar languages; you build tools and automate workflows that others want to use-Experience with CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins) and deployment strategies (blue-green, canary, rolling)-Expertise with observability tools (Datadog, Prometheus, Grafana) — distributed tracing, metrics, and log aggregation-Strong Linux/Unix administration background with deep system-level understanding-Production experience with major cloud providers (AWS, GCP, Azure) — networking, compute, storage, and managed services-Operational experience with databases (SQL and NoSQL) and their performance characteristics-Deep knowledge of network protocols and troubleshooting (TCP/IP, DNS, HTTP/S, load balancing)-Ability to define meaningful SLIs/SLOs, calculate error budgets, and make data-driven reliability decisions-Experience running incidents under pressure, writing post-mortems that drive change, and implementing preventive measures-Ability to profile applications, identify bottlenecks, and optimize resource utilization-Experience with capacity planning — forecasting growth and scaling infrastructure proactively-Clear communication of complex technical issues to non-technical stakeholders-Documentation that others actually want to read What's nice to have? -Experience with our stack: AWS, Python, NGINX, Kubernetes, Datadog, ArgoCD, Cloudflare, Terraform, Django-Experience with AI-assisted development tools (Cursor, Claude Code) What do we like? -Take ownership and ship improvements without heavy direction-Automate yourself out of toil rather than accepting the status quo-Communicate clearly and collaborate across teams-Balance pragmatism with engineering excellence-Embrace blameless culture — focus on systems and processes, not individuals, when things fail What We Offer Cloaked is a well-funded Series A startup based out of NYC. Although we are a distributed team, the NYC team operates with a hybrid model. The office building is home to several amenities, including a gourmet cafe, cocktail bar, and a rooftop work area. We have a fully built out kitchen packed with drinks and snacks. The Cloaked team has diverse interests and so we frequently embark on team outings and go out for socials! Compensation and Benefits We offer above market rate pay and equity based off of the market's best commercially available data. Your compensation will be a combination of salary, bonus and equity. Benefits Cloaked employees have 401K, as well as top of the line Health, Dental, and Vision benefits.We offer flexible work arrangements and the ability to work remotely as needed. Cloaked provides a home office stipend in addition to a new company laptop (and other tech depending on the role). Perks \uD83C\uDF34Competitive PTO: We encourage employees to take a minimum # of vacation per quarter. We see PTO as a preventative burnout measure and are committed to changing the industry standard. \uD83E\uDD38Monthly health stipend: Used for any kind of physical, mental or emotional care you’d like to take for yourself, be it a gym membership, a meditation app, or time with a personal trainer. \uD83E\uDD57 Late Night Meals: We understand that sometimes work can get in the way of meal prep. In response to that, we offer employees a monthly meal stipend to be used when they don't have time to get a home cooked meal going! \uD83E\uDDE0 Professional Growth: Opportunities for career development and personal growth are provided to all employees who seek to further their knowledge and capabilities through an unlimited professional development fund. Additionally team members are encouraged to regularly attend conferences and industry events. We are really excited about having you join our mission-driven team and help us build the future of online privacy! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Senior Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Own and contribute to foundational models that power our recommendations ecosystem., • Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.), • Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning., • Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++, • System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus., • DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as a Machine Learning Engineer., • 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes., • 2+ years of experience designing and developing online and production grade machine learning systems., • 1+ year of experience leading projects with at least 1 other team member through completion. #Hinge

Job DescriptionAbout Us:Versana is an industry-backed fintech on a mission to make the syndicated loan market better. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan-level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. About You:Versana is looking for a Security Engineer to join our InfoSec squad. You will play an essential role in safeguarding our organization's information systems and data from potential threats and vulnerabilities. You will work collaboratively with senior engineers and cross-functional teams to enhance our security posture using cutting-edge technologies.Key Responsibilities: • Perform and validate application & API security testing (OWASP & API Top 10, business logic abuse, auth/authorization flaws, data exposure)., • Assist with vulnerability lifecycle management by gathering and normalizing findings (scanners, manual assessments, etc.), validating impact, setting priority, and assigning remediation tickets., • Integrate and maintain security tooling in CI/CD (SAST, SCA, DAST, SBOM, container and secrets scanning) and collaborate with developers to tune signal vs noise., • Assist with configuration and lifecycle management of AppSec tooling (e.g., CNAPP, WAF, secret management), • Contribute to threat modeling & secure design reviews (data flows, trust boundaries, abuse cases, cloud IAM, entitlement surfaces), • Partner with engineering, DevOps, product, and QA to embed secure patterns early (“shift left”) and provide code-level remediation guidance., • Automate repetitive security tasks and reporting where possible (scripts, pipeline jobs, policy-as-code), • Participate in incident response activities, including containment, eradication, and recovery efforts., • Support the implementation of security policies, procedures, and standards., • Stay up-to-date with the latest security trends, threats, and technology advancements.Must Haves:, • +3 years combined experience in software development and/or application security engineering., • Ability to read and develop secure code in at least one of: Python, Java, JavaScript/TypeScript, Go, or C#., • Understanding of Application Security principles and web application vulnerabilities such as OWASP Top 10, their risk and remediations, • Basic understanding of cloud computing principles and services (e.g., AWS, Azure, Google Cloud)., • Exposure to security tools such as vulnerability scanners., • Strong communication and teamwork skills., • Detail-oriented with a proactive approach to identifying and mitigating security risks.Nice to Haves:, • Pentest experience, • CompTIA Security+, CEH, GWAPT, OSCP or similar certifications., • Infrastructure-as-Code knowledge such as Terraform.

Job DescriptionAbout Monstro Monstro is an AI-native fintech platform reimagining how people and institutions manage money. We're building a modern foundation for financial decision-making—combining intelligence, automation, and elegant design to help users make smarter choices with confidence. Our team includes experienced builders from leading fintech, wealth management, and technology companies, united by a shared goal: to create a category-defining product that transforms how financial insight is delivered and acted on. Senior Full Stack EngineerAbout Monstro Monstro is democratizing a level of personal financial service that has, up until now, only been accessible to the elite. Headquartered in New York City, we're an AI-enhanced fintech company redefining personal finance management through a global financial platform. For individuals, our platform provides a comprehensive view of their financial, legal, and tax life—delivering actionable insights, tailored recommendations, and the ability to take direct action. About the Role Monstro is hiring a Senior Full Stack Engineer with a backend focus to help build and scale the client-facing systems that power our platform. This role owns critical backend services that handle sensitive financial data, where reliability, security, and performance are essential. What You'll DoBackend Engineering • Design, build, and maintain backend services that power Monstro's consumer experience, • Work across our stack (Python, Node.js, and Java), selecting the right tool for each problem, • Build robust APIs serving mobile and web clients while integrating with financial institutions and third-party servicesSystem Architecture & Scalability, • Architect systems that scale gracefully as our user base grows, • Identify bottlenecks and implement caching strategies (Redis, CDN, application-level caching), • Optimize query performance and tune container-based applications, • Design for resilience with failover strategies, retry logic, and graceful degradationInfrastructure & DevOps, • Containerize and orchestrate services using Docker and Kubernetes, • Collaborate with platform teams on infrastructure decisions, • Contribute to CI/CD pipelines and ensure smooth, reliable deployments, • Understand and work across the full SDLC, from local development through production observabilityData & Integrations, • Work with relational and NoSQL databases, partnering with data engineers on schema and data models, • Build integrations with banking systems, payment processors, and financial data providers, • Implement event-driven architectures and message queues where appropriateSecurity, Quality & Team Collaboration, • Build systems with security as a first-class concern, including authentication, authorization, encryption, and audit logging, • Ensure systems meet fintech regulatory and compliance requirements, • Guide and develop junior and mid-level engineers through code reviews, pairing sessions, and technical coaching, • Partner closely with frontend engineers, product managers, and designers to deliver cohesive features, • Participate in architectural discussions and incident response, contributing to a culture of continuous learning and technical excellenceWhat Success Looks Like, • Backend systems reliably support a growing consumer user base with minimal incidents or regressions, • Sensitive financial data is handled securely, correctly, and in compliance with regulatory requirements, • APIs and services are well-designed, performant, and easy for mobile and web clients to consume, • Infrastructure and deployment processes enable safe, frequent releases, • Junior and mid-level engineers are unblocked, supported, and improving through mentorship and collaborationWhat We're Looking For, • 7+ years of professional software engineering experience, • Strong proficiency in at least two of the following: Python, Node.js, Java, • Hands-on experience with Docker and Kubernetes in production environments, • Solid understanding of the full SDLC and modern development toolchains, • Experience scaling and performance-tuning container-based applications, • Strong understanding of caching patterns and strategies, • Familiarity with API design, microservices patterns, and distributed systems, • Experience with test-driven development and test automation, • Familiarity with cloud platforms such as AWS, GCP, or Azure, • Clear communicator who takes ownership, moves with urgency, and is passionate about building high-quality softwareWhy Monstro?, • Ownership & Impact: Shape the future of AI-powered finance—building a category-defining product used by consumers and institutions around the world., • Elite Team: Join a team with leadership that has a track record of scaling companies from early stage to major exits., • Principles-Driven Culture: Work in a culture that values speed, ownership, and impact—what most companies achieve in 90 days, we do in 45., • Comprehensive Compensation Package: Competitive salary, equity, and robust benefits package, including paid health, vision, dental, and disability coverage., • Compensation Range (New York City): $162,000 - $190,000

Job DescriptionBustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.What You'll Do • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives., • Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility., • Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights., • Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data., • Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.Who You Are, • Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets., • Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation., • Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar)., • Experience working data generating frontends in React and TypeScript., • Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency., • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.BDG Benefits, • Competitive Compensation: Market-based salary with annual reviews., • Unlimited PTO: Take the time you need to recharge and stay productive., • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents., • Retirement Savings: 401(k) plan.

Job Description The Senior Data Engineer reports to the Sr Director of Engineering and is responsible for defining and implementing a unified data architecture to streamline and enhance data access, storage, and reporting across the company. You will define standards and best practices for data governance, meet with and understand the data and reporting needs of various teams, and create robust reporting mechanisms. Additionally, you will lead efforts to integrate AI technologies into our data workflows to unlock predictive insights and advanced analytics capabilities. The role is open to remote work in the following states only California, Colorado, Connecticut, Florida, Illinois, Louisiana, Maryland, Nevada, New Jersey, New York, Pennsylvania, Texas, Virginia, Washington and Wisconsin. Responsibilities • Design and implement a scalable, robust, and consistent data architecture, aligned with business objectives, that supports both operational and analytical needs., • Own and support data pipelines integrating data sourced across multiple systems. Deliver a highly available data platform leveraged by business users across the enterprise., • Partner with engineering teams to integrate AI and machine learning models into the data architecture, enabling predictive analytics, automation, and improved decision-making capabilities., • Work closely with business and project stakeholders to deliver data solutions for a diverse set of problems., • Help ensure security, privacy, and compliance for all data assets and workflows., • Create comprehensive documentation for data processes, structures, and pipelines. Provide training and support to ensure best practices are followed throughout the organization. Design and develop data pipelines for data collection, analysis, and related functions., • Establish and enforce data governance standards, ensuring data consistency, accuracy, and integrity across all systems and departments., • Provide thought leadership for technical architecture design, development, and deployment to support enterprise-wide data needs., • Performs related duties as requested Experience • Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, or related field, • 7+ years of experience in data architecture, data engineering, or related roles., • Strong proficiency in database management systems (SQL, NoSQL), data warehousing, and data modeling techniques including Azure data technologies such as Azure Fabric, Azure One Lake, Azure SQL, Azure Data Factory, Azure Data Lake, Azure Cosmos DB, • Solid understanding of data governance, security practices, and privacy laws (HIPAA, CCPA)., • Excellent problem-solving skills and a strategic mindset with the ability to influence key stakeholders., • Prior Experience working in healthcare, clinical experience preferred Comp & Benefits: Range: $130,000-$155,000 + Bonus + Equity This is the range of pay for candidates nationally. Sollis is a multi-state employer and this rate/range may not reflect the pay for positions that are performed solely in localities outside of this location. Furthermore, actual pay is dependent on several factors that may include but are not limited to years of experience within the job, years of experience within the required industry, location, education, etc. Our people are our greatest asset, so we designed a comprehensive compensation and benefit package that matches. Some of our offerings include: • Excellent benefits, including healthcare, dental, vision, • 401K with 3% match, • Unlimited PTO and Generous Sick Time, • 12 Observed holidays, • Free Sollis Health membership for you and your eligible family members, • Employee stock options offering, • Annual professional development allocations Sollis Health is the first and only medical membership that's on-demand 24/7, 365. We live up to the concierge promise: with just one call, our members experience unparalleled care and follow-up on their schedule and their terms. Our members never wonder if it's a "real" emergency. They simply call Sollis for immediate access to ER-trained medical teams, on-site labs and imaging, expedited specialist appointments, and care navigation that's all under one roof. With unlimited 24/7 virtual and in-person support from locations in Manhattan, the Hamptons, Los Angeles, South Florida, and San Francisco, Sollis puts our members in first class by handling all medical issues—big or small—with expert concierge care anytime, anywhere.

Job DescriptionTagup is a defense technology company founded at MIT that is redefining logistics superiority with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations. This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance. If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.What You’ll Do • Develop, train, and optimize ML models for large-scale applications., • Build pipelines for data ingestion and model deployment., • Work with engineers and subject-matter experts to refine solutions., • Conduct testing and validation to ensure reliability., • Co-author technical reports on data analysis and model performance., • Continuously improve ML infrastructure and workflows., • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.What We’re Looking For, • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow., • Proven ability to deploy ML models into production and work with large, complex datasets., • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines., • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible.

Job DescriptionWe are seeking a Senior CRM Solutions Developer & Software Engineer to design, develop, and enhance solutions across Microsoft Dynamics CRM and Dynamics 365 environments. This role will work across the full solution lifecycle—from requirements and architecture through development and deployment—supporting both legacy CRM systems and modern cloud platforms. The ideal candidate is a hands-on engineer who can build scalable CRM solutions, integrate enterprise systems, and contribute to the modernization of customer-facing platforms in a fast-paced Agile environment.Responsibilities • Design and develop solutions across Microsoft Dynamics CRM (On-Prem) and Dynamics 365 Online environments, • Collaborate with architects, developers, and business stakeholders to deliver scalable CRM solutions, • Build and customize CRM components, including plugins, workflows, Power Automate flows, PCF components, and integrations using Web API/SDK, • Support deployments and environment management across CRM On-Prem and Dynamics 365 Online platforms, • Participate in Agile sprint planning, effort estimation, and release delivery, • Troubleshoot and resolve complex issues across CRM platforms and integrated enterprise systems, • Mentor team members and promote best practices across CRM, DevOps, and CI/CD development processes, • Contribute to broader engineering initiatives, including .NET services, Azure integrations, and enterprise applicationsRequired Experience, • 6+ years of Microsoft Dynamics CRM / Dynamics 365 development experience, • Strong hands-on experience with C#, ASP.NET, and .NET development frameworks, • Experience developing CRM solutions using plugins, workflows, Power Automate, entities/tables, and custom integrations, • Experience working with SQL Server and relational database design (T-SQL), • Experience using CRM SDK, Dataverse Web API, and modern integration approaches, • Experience working within Agile environments with source control and CI/CD practices, • Strong problem-solving skills with the ability to troubleshoot complex enterprise systemsPreferred Experience, • Experience supporting CRM On-Prem to Dynamics 365 migrations or upgrades, • Familiarity with Power Platform components (Power Apps, Power Automate, custom connectors), • Experience working with Azure services and cloud integrations, • Experience creating CRM reports using SSRS

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Requirement: Hybrid in-office at our Sunnyvale, CA OR Bellevue locationsWhat You'll Do: • Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API, • Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks, • Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation, • Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi, • Implement APIs and microservices that enable modular and event-driven application architectures, • Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation, • Ensure robust observability, maintainability, and security across the application stack, • Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java, specifically for delivering production-grade cloud services., • Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC) and frontend technologies (e.g., React, Next), including the development of scalable backend services in Node.js and Go., • AI/LLM Experience: Solid familiarity with Generative AI frameworks (LangChain, LangGraph, ChatGPT API, or Glean API) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them., • Architecture: Solid experience designing and implementing RESTful APIs, microservices, and event-driven integration architectures., • Cloud & DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles., • Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.Preferred:, • Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse)., • Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark)., • Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots., • You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes., • You're curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSenior Network & Security Engineer Location: New York Tri-State Area (NYC / Northern NJ / Fairfield–Westchester CT) Work Model: Hybrid — 3 days on-site at primary data-center campus in Midtown Manhattan or Secaucus, NJ; 2 days WFH. Clearance: None required, but ability to pass a Tier 2 public-trust background check is a must. Travel: < 10 % (regional PoP / DR-site visits)About Us AITHERAS, LLC is a customer-focused IT consulting firm delivering cost-effective, mission-critical solutions since 2002. We specialize in Data Analytics, Cloud Computing, IT Engineering, Application Development, and Cyber Security. Based in Rockville, MD, we’re ISO 9001:2015 certified, an SBA-designated Small Business, and an MBE-certified firm by MDOT. We partner with over 100 clients to create scalable, innovative solutions that drive success.What You’ll Do% TimeResponsibility40 %Design & Implementation – Build and migrate segmentation zones, VRFs, and BGP/OSPF fabrics across Cisco Nexus 9K, Juniper QFX/MX, and Palo Alto PA-Series.25 %Security & Visibility – Stand up TACACS+/Cisco ISE for AAA, integrate flow telemetry into Cisco Secure Network Analytics (StealthWatch), deploy taps/SPANs/Gigamon, and tune IDS/IPS policies for OT & IT.15 %Automation – Write and maintain Python/Ansible/Terraform pipelines (pyATS, Nornir, Jinja2) for golden-config generation, compliance drift detection, and CI/CD-based push-button rollouts.10 %Operations & Incident Response – Serve as L3 escalation and join a 1-week-per-6 on-call rotation; own post-mortems and MTTR metrics.10 %Documentation & Mentoring – Produce HLDs/LLDs, MOPs, and runbooks; coach junior engineers toward CCNP/PCNSE.Must-Have Qualifications • 8+ years progressive experience in enterprise or service-provider networking., • Deep expertise configuring and troubleshooting BGP, OSPF, static routing, VRFs, VXLAN-EVPN., • Hands-on with Cisco Catalyst/Nexus & ASA/FTD, Juniper EX / QFX / MX, and Palo Alto NGFWs (Pan-OS 9/10)., • Solid command of AAA (TACACS+, RADIUS) and production deployments of Cisco ISE or equivalent., • Practical experience deploying or operating flow-analytics / tap infrastructure (StealthWatch, Gigamon, NetFlow/IPFIX, SPANs)., • Comfort writing Python and Ansible playbooks; git-based workflows (GitLab/GitHub, CI pipelines)., • Familiarity with network IDS/IPS (Snort, Zeek, Palo Alto Threat Prevention) and SIEM workflows (Splunk, QRadar)., • Ability to create HLD/LLD diagrams in Visio or draw.io and present them to technical & business leadership., • U.S. work authorization and ability to commute to NYC area 3× week.Nice to Have, • CCNP Enterprise/Security, PCNSE, JNCIS-ENT/Sec, or CCIE (R&S / Enterprise)., • Cisco Secure Network Analytics design experience (flow collector sizing, policy tuning)., • Prior exposure to industrial / OT networks (NIST 800-82, Purdue Model, SCADA segmentation)., • AWS or Azure Advanced Networking certification; Transit Gateway design experience., • Experience with F5 LTM/GTM or Citrix ADC in low-latency trading or fintech environments., • Source-of-truth & intent platforms (NetBox, Nautobot), RESTful API development, or Go/Rust scripting.What We Offer, • Base Salary: FTE: 135K-140K or $90-$100 C2C/1099, • FTE Benefits: 100 % employer-paid medical / dental / vision, 401(k) 5 % match, ESPP, • FTE Training: $3 k annual cert stipend, paid time for labs & conferences (Cisco Live, Palo Alto Ignite) Powered by JazzHR yiMixFkdvZ

Job Description About the Role We are seeking an experienced AEM Technical Lead to join our growing Digital Solutions team. This role supports Adobe Experience Manager environments for enterprise-grade digital experiences. You will be responsible for implementing CI/CD pipelines, automating infrastructure, supporting containerized services, and guiding teams on AEM cloud best practices and web operations. You should be adept at working in fast-paced environments, leading technical operations, and managing high-availability infrastructure for content-driven digital platforms. Strong communication, systems thinking, and a passion for automation and operational excellence are essential. We are looking for candidates who can do 1 day per week in office. Possible locations are Tampa, Charlotte, New York, New Jersey and Mississauga, Ontario. Key Responsibilities * Design, implement, and maintain CI/CD pipelines and environment automation using Jenkins, GitHub Actions, Terraform, and Ansible * Manage and operate AEM as a Cloud Service environments including provisioning, configuration, deployment, and troubleshooting * Configure, monitor, and support Apache web servers and AEM Dispatcher setups * Build and manage containerized services using Docker and Kubernetes across development, staging, and production * Guide internal and external teams on performance optimization and operational best practices for AEM * Lead infrastructure builds for high-availability production environments on AWS, GCP, or Azure * Automate operational tasks and enhance deployment workflows using Bash, Python, and Groovy * Monitor site uptime and performance using tools like New Relic, Datadog, and Splunk * Maintain operational documentation including DR runbooks and infrastructure diagrams * Participate in incident response and on-call support rotation Required Qualifications * Bachelor’s degree in Computer Science or related field, or equivalent work experience * 5-7 years in DevOps or web operations roles with AEM (v6.5), including AEMaaCS * Experience with AEM migrations, Apache server, and Dispatcher configuration * Experience with configuring/maintaining CDN/WAF, Adobe Enhanced Security * Strong experience with Docker and Kubernetes in production environments * Proficient with Terraform, Ansible, Jenkins, and GitHub Actions * Solid Linux/Unix administration experience * Strong scripting proficiency in Python, Bash, or Shell * Familiarity with observability and monitoring tools (e.g., Splunk, AppDynamics) * Understanding of load balancing, clustering, and high-availability architecture Preferred Qualifications * Adobe Certified Expert: AEM Sites DevOps Engineer or Architect * Experience with Adobe Cloud Manager, Adobe I/O, and AEM Brand Portal * Familiarity with virtualization tools such as VMware or Vagrant * Exposure to PHP-based platforms and hybrid infrastructure models Preferred Tools & Technology Stack * Adobe Experience Manager (AEMaaCS), Apache HTTPD, AEM Dispatcher * Adobe Cloud Manager, GitHub Actions, Jenkins * Docker, Kubernetes, Terraform, Ansible * New Relic, Datadog, Splunk * AWS, Azure, GCP * Bash, Python, Groovy Scripting * CDN/WAF, Fastly Nice to Have Qualifications * Adobe Commerce Certifications - Adobe Certified Expert * 5+ years of experience Adobe Commerce development * 3+ years of experience working on Adobe Commerce enterprise solutions About Blue Acorn iCi Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results. Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us. Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement. Why Join Us? Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital. Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves. If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place. Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more! Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability. Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice. Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: . California applicants: Please click here for CCPA disclosures. Powered by JazzHR RFjzcMK0WC

Job DescriptionCompany Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at . Job Description As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context. As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career. Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts. Our collaborative culture ensures that—from Day 1—you become an integral member of the Wavestone team. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Our commitment: Wavestone’s Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us. Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • 4 months parental leave to birthing parent / 2 months to supporting parent, • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Job Description Software Engineer, Full Stack (Frontend-Leaning) Location: New York City (SoHo) — In-Person About Our Client Our client is building the next-generation platform for institutional finance. The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't meaningfully evolved in decades—this team is modernizing that foundation with a delightful user experience, a modern cloud-native stack, and an AI-native architecture designed for how financial services will operate over the next 10–20 years. The team comes from trading, quantitative, and engineering roles at top-tier financial institutions, and they're building systems capable of processing complex, high-stakes transactions across global markets. Their customers include sophisticated banks, hedge funds, and asset managers—meaning the problems are hard, the expectations are high, and the impact is real. Tech Stack * Cloud-native architecture (serverless-first) + Infrastructure-as-Code (IaC) * Backend services in Python and Java * Frontend in TypeScript / React * AI tooling leveraging modern foundation models * Automated SDLC with tools like GitHub, Logfire, Vercel, and rapid intraday deployment practices The Role Our client is hiring a Full Stack Software Engineer with a frontend focus to help build and scale the systems powering a derivatives and capital markets platform. You'll translate financial and business requirements into reliable, scalable, user-friendly product experiences—working closely with engineers and stakeholders in a fast-moving environment. This is a hands-on role for someone who enjoys building polished front-end experiences while still being comfortable going full stack when needed. What You'll Do * Build and maintain high-performance React/TypeScript applications used by institutional finance teams * Develop responsive, accessible, and data-rich UI experiences (tables, workflows, analytics views) * Partner with product and design to translate complex workflows into intuitive user journeys * Integrate with backend services (Python/Java) through REST and/or GraphQL APIs * Contribute to scalable architecture, clean code practices, testing, and deployment automation * Help enhance platform reliability and performance in a high-expectation, high-velocity environment Requirements * Bachelor's degree in Computer Science, Engineering, Mathematics, Financial Engineering, or related field * In-person in NYC (SoHo) * Strong proficiency in React and modern JavaScript/TypeScript * Experience building responsive, accessible, data-driven frontend applications * Working knowledge of backend development in Python, Java, or similar languages * Experience with databases (e.g., MongoDB or other object/document databases) * Experience integrating with RESTful and/or GraphQL APIs * Familiarity with cloud infrastructure and deployment (AWS, GCP, or Azure) * Strong software design fundamentals across frontend and backend * Ability to collaborate cross-functionally (engineering, product, design) * Strong debugging, problem-solving, and communication skills Bonus Qualifications * Financial systems knowledge: reference data, pricing, market data integrations * Experience with trade capture, valuation, risk, or post-trade workflows * Familiarity with derivatives, FX, or fixed income products * Experience with reconciliation and operational data pipelines * Prior experience supporting institutional clients in capital markets * Experience building or integrating Generative AI (OpenAI, Anthropic, Gemini) into financial applications What Success Looks Like (First 90 Days) * Ship meaningful frontend improvements that reduce friction in core workflows * Build confidence with the domain (OTC derivatives + post-trade lifecycle) and the platform architecture * Improve UI performance, reliability, and developer velocity through clean patterns and automation * Become a trusted owner of key product surfaces used by sophisticated institutional customers

Job Description About Daiwa Capital Markets America Inc.: Incorporated in 1964, Daiwa Capital Markets America Inc. (“DCMA”) is a New York-based registered securities broker-dealer, a futures commission merchant, a primary dealer of U.S. Treasury securities, and a member of the New York Stock Exchange and other major U.S. exchanges. Our main focus is on the sales and trading of Japanese, Asian, and U.S. equities, fixed income instruments, financial futures, and investment banking for institutional customers. DCMA’s ultimate parent company is Daiwa Securities Group Inc., one of the largest brokerage and financial services groups in Japan. Position Summary: We are seeking an experienced Enterprise Engineer to join our IT Infrastructure team within a fast-paced financial environment. This role involves the ongoing administration and maintenance of highly available corporate applications and systems. This role ensures optimal performance, security, and scalability while collaborating with IT teams and third-party vendors. Key responsibilities include deploying and automating system processes, addressing critical issues, providing 24x7 support for line-of-business applications, leading server patching and vulnerability remediation efforts. The Enterprise Engineer will document system configurations, mentor team members and remain informed about the latest technology trends to recommend enhancements to the firm's technical platforms. Reporting to the Enterprise Technology Manager in the Information Technology Department, you will be an integral part of the Enterprise Technology group operating in an environment of high team collaboration with a strong desire to respond and resolve problems and requests in a prompt manner. Core Responsibilities: • Oversee and maintain hybrid environments, including on-premises Windows Server infrastructure and cloud-based services (e.g., Azure), ensuring seamless integration, service availability, and operating system interoperability across platforms., • Manage and support a wide range of enterprise applications and services such as Omnissa Horizon, Citrix XenApp, Informatica PowerCenter, Swift Alliance, IBM MQ, Automation tools (e.g., Redwood, Power Automate, ActiveBatch), Manage Engine Endpoint Central, Microsoft Azure, Docker, Web servers (e.g., Apache, IIS), and Office 365 services (e.g., Entra,Intune, SharePoint, Teams, Exchange)., • Design, implement and automate system management processes using PowerShell and other automation tools., • Administer and maintain Windows Server and Windows 11 environments., • Develop solutions for capacity planning, system optimization, patch management, and issue remediation., • Monitor system performance, troubleshoot critical issues, and ensure compliance with security protocols., • Interface with enterprise application vendors in the areas of system onboarding and offboarding, contract negotiation, designing and implementing enterprise system interfaces (on and off premise API’s, etc.)., • Conduct BCP testing of the firm’s critical systems and infrastructure components and report results to the firm’s BCM team., • Proficient in implementing and managing Public Key Infrastructure (PKI) solutions to ensure secure digital communication and data integrity., • Collaborate with IT functional teams (Security, Development, Service Desk) and external vendors to design and test enterprise solutions., • Assist in cloud adoption efforts by evaluating, deploying, and integrating cloud-based applications and platforms., • Responsible for deploying product updates, identifying and resolving production issues, while maintaining the highest levels of security, resiliency and uptime., • Maintain detailed documentation and release notes for system changes, following strict change management processes., • Provide technical guidance to leadership and peer engineers., • Implement automated procedures for system maintenance and technical issues as required., • Stay updated with technology trends and recommend best practices to improve resiliency, security, and efficiency., • Address security related tasks / projects., • Bachelor's degree in Computer Science, Engineering, or a related field required., • 7-10 years of experience in systems engineering or cloud architecture roles., • Extensive experience with system automation and scripting tools (e.g., PowerShell) and infrastructure management platforms (e.g., Manage Engine, SCCM)., • Expertise in managing hybrid environments and supporting cloud platforms like Microsoft Azure and Microsoft Office 365., • Proficiency in Omnissa Horizon support and management including thin/zero client deployment., • Ability to build strong relationships with team members, vendors, and non-IT stakeholders., • Ability to work late in order to troubleshoot and perform upgrades and system maintenance outside of business hours., • Prior experience in training other staff members on technical systems and processes, showcasing leadership capabilities and team collaboration., • Ability to independently manage projects from research and testing to production deployment., • Exceptional server/systems troubleshooting skills and ability to resolve complex technical issues., • Excellent troubleshooting, analytical, and communication skills (written and verbal) with a high focus on customer service., • Strong ability to work independently and under tight deadlines., • Detail-oriented, organized, and able to handle both technical challenges and user interactions effectively., • Possession of high-level certifications in Microsoft Azure, Cloud Architecture, Windows Administration, VMware Certified Professional (VCP) or other industry / Microsoft certifications., • Skilled in disaster recovery and business continuity planning related to enterprise systems and platforms. Daiwa Capital Markets America Inc. has a vibrant company culture made up of a diverse team of professionals. We seek to foster an atmosphere in which our employees understand, respect, and inspire each other. We will continue to build a culture that encourages everyone at DCMA to take pride in their work. How we work — individually, with each other, and with our communities — is just as important as what we do and shapes who we are as an organization. Our people are our most important asset, and as a result, we offer a competitive and robust total rewards package which includes, but is not limited to: • Competitive Benefits Package (Medical, Dental and Vision), • Ancillary Insurance (Basic Life Insurance, AD&D Insurance, and Short & Long-term Disability), • Flexible Spending and Health Savings Accounts (FSA and HSA), • Employee Assistance Program (EAP), • Comprehensive health and wellness benefits, • Parental Leave, • Family building benefits, • 401(k) with company match, • Paid Time Off and holidays, • Professional development, educational assistance and training programs DCMA provides equal employment opportunities for all applicants and employees. We are committed to providing a work environment that is free of discrimination and harassment. DCMA prohibits discrimination based on race, color, religion, gender identity, national origin, sexual orientation, age, disability, military or veteran status, or other attributes protected under applicable federal, state, or local laws.

Job DescriptionAVP, Software Development Engineer in Test OTC Markets Group - New York, NY - Full Time OTC Markets Group Inc., operator of premier US financial marketplaces, is seeking an SDET to join our Technology team. As an SDET, you will be part of an agile team responsible for analyzing product functionality, designing test strategies, and executing test scenarios both manually and through automated test frameworks built with C#, TypeScript, and JavaScript. We value curious, persistent, and technically driven people who take ownership of quality and enjoy building industry-standard solutions. If this sounds like you, we’d love to talk to you. We invest heavily in employee satisfaction and offer all our employees a highly competitive compensation package. As a dynamic, growing company that fosters an open culture, we emphasize autonomy, responsibility, innovation, and self-discipline. We are looking for someone who wants to make an impressive impact at a company known for its reputation on quality and achievement. Base compensation for this role is up to $155,000 annually, depending on experience. In addition, the position is eligible for our discretionary annual bonus program and equity. What You’ll Do: • Requirements analysis and cross-functional collaboration with development teams to define test cases and acceptance criteria, • Creation and maintenance of test cases across functional, API, and UI testing levels, • Design, build, and maintain scalable test automation frameworks and scripts for functional, API, and UI testing; continuously improve test coverage, stability, and reliability, • Bug lifecycle management, including defect tracking and reporting for both manual and automated test execution, • Participate in code reviews to ensure test quality and adherence to best practices, • Contribute to the continuous improvement of the product test strategy, • Champion shift-left testing practices by engaging early in the development lifecycle, • Support CI/CD pipeline integration for automated test execution, • Additional responsibilities, as assigned.What We’re Looking For:, • 5+ years of experience in QA and test automation, and/or a Bachelor's degree in Computer Science, • Strong understanding of QA processes, methodologies, and the software development lifecycle (SDLC), with the ability to apply them in daily operations, • Experience producing key test assets: test plans, test cases, test reports, and test coverage metrics, • Experience with software testing types: Functional, Integration, Regression, Smoke, End-to-End, Data-Driven, and User Acceptance Testing, • Proficiency in at least one programming language, preferably C#, • Familiarity with CI/CD pipelines and source control systems such as GitHub and Azure DevOps Git, • Basic understanding of networking protocols (TCP/IP, HTTP/HTTPS, REST), • SQL Server experience, • T-SQL, DDL & DML, • Stored procedures, indexes, views, • Familiarity with web front-end technologies:, • HTML, CSS, JavaScript, • Client-side vs. server-side processing, • Clear understanding of the following tech/tools:, • Automation Languages: C#, TypeScript, JavaScript, • Automation Frameworks: Selenium WebDriver, Playwright, ATATA, NUNIT, • API Testing: Postman, REST Assured, • Backend: .NET Core, .NET Framework, ASP.NET, • Database: MS SQL Server, • Backlog Management & Collaboration: Azure DevOps, Jira, • Code Repository: GitHub, Azure DevOps Git, • CI/CD: GitHub Actions, Azure DevOps Pipelines What OTC Markets Offers its Team Members (Why You Should Choose Us): Benefits: • Generous Paid Time Off (PTO), • Health, Dental, and Vision Coverage, • Health Savings Account (HSA), • Flexible Spending Accounts (FSA) Dependent & Healthcare, • Limited Purpose Flexible Spending Account (LPFSA), • Generous Paid Parental Leave Program, • Annual bonus and Stock Incentive Program, • 401(K) Plan - Retirement, • Commuter Transit & Parking Program, • Income Protection (Life Insurance, Short- & Long-Term Disability), • Voluntary Benefits (Accident, Critical Illness, & Hospital Indemnity)Perks:, • Hybrid Work Schedule, • Class Pass Partnership (Fitness & Wellness Programs), • Citi Bike Membership Program, • Mondays – Breakfast Bagels & Wednesdays – Pizza Lunch, • Office Snacks and Beverages OTC Markets Group Inc. (OTCQX: OTCM) operates regulated markets for trading 12,000 U.S. and international securities. Our data-driven disclosure standards form the foundation of our public markets: OTCQX® Best Market, OTCQB® Venture Market, OTCID™ Basic Market and Pink Limited™ Market. Our OTC Link® Alternative Trading Systems (ATSs) provide critical market infrastructure that broker-dealers rely on to facilitate trading. Our innovative model offers companies more efficient access to the U.S. financial markets. OTC Link ATS, OTC Link ECN, OTC Link NQB, and MOON ATS™ are each SEC regulated ATS, operated by OTC Link LLC, a FINRA and SEC registered broker-dealer, member SIPC. To learn more about how we create better informed and more efficient markets, visit . We are an equal opportunity and E-Verify employer and prohibit discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, creed, color, religion, gender, national origin, age, marital status, political belief, physical or mental disability, sexual orientation, military or veteran status, genetic information, family or parental status, gender identity, pregnancy, including childbirth or related medical condition, or any other characteristic protected by federal, state, or local law. We encourage applicants of all ages and backgrounds. Applicants have rights under Federal Law: Equal Employment Opportunity is the Law Polygraph Protection Act FMLA Powered by JazzHR XsEH523fZO

Job DescriptionCompany Description NIQ is the world’s leading consumer intelligence company, helping brands and advertisers understand what people buy, watch, and engage with. MRI‑Simmons, a division within NIQ, runs one of the most comprehensive and detailed consumer insights studies in the U.S., collecting thousands of data attributes from 50,000+ respondents annually. Our Consumer Canvas product takes this data even further — mapping it to the broader U.S. population (250M+ adults) and enabling advanced audience targeting through partners like The Trade Desk, LiveRamp, TransUnion, and more. We are expanding our architecture team to drive the next evolution of Canvas — identity resolution, data enrichment, privacy‑first design, and scalable activation pipelines. Job Description We are seeking a Data Architect to own and evolve the end‑to‑end architecture behind the Consumer Canvas platform. You will work across Snowflake, Databricks, identity systems, ingestion pipelines, and activation layers — ensuring our data is scalable, secure, privacy‑compliant, and highly performant. You will partner closely with Data Engineering, Data Science, Machine Learning, and Product teams to build next‑gen solutions that power the future of consumer insights and advertising activation. This is not a migration or maintenance role — it is a strategic influence position with the opportunity to architect new systems, components, and methodologies from the ground up • Own the end-to-end architecture of the Consumer Canvas product., • Design systems across ingestion, identity spine creation, enrichment, governance, and activation workflows., • Collaborate with cross-functional partners (Data Scientists, ML Engineers, Data Engineers, Product Owners)., • Define and enforce PII governance, privacy controls, and security best practices., • Translate complex business and technical requirements into scalable architecture., • Support technical teams with architectural guidance and model/structure design., • Participate directly in design, prototyping, and testing cycles within an Agile environment., • Act as a senior technical thought partner, providing mentorship (non‑manager role).Qualifications Must‑Have Skills • 5+ years of experience in Data Architecture or related technical leadership roles., • Hands-on experience with Snowflake (including Data Clean Rooms) and/or Databricks., • Strong SQL and experience with Python, PySpark, and Spark., • Proven experience working with PII data, privacy constraints, and governance frameworks (critical & non‑negotiable)., • Data modeling expertise (conceptual, logical, physical)., • Experience designing scalable data pipelines and cloud-native architectures., • Experience in Ad-Tech, Martech, Media, Consumer Data, or Identity Ecosystems, • Familiarity with Medallion Architecture (Bronze/Silver/Gold)., • Azure services (ADF, Azure Data Lake, Azure DevOps)., • Containers & orchestration (Docker, Kubernetes)., • Bachelor’s degree in Computer Science, Engineering, or a related field required., • Master's degree or certifications (SnowPro, Azure Data Engineer) are a plus., • A strategic thinker who enjoys architecting new systems, not just migrating old ones., • Passionate about privacy-first data design and operational excellence., • Skilled at turning ambiguous requirements into elegant architectures., • Excited by large-scale audience data (hundreds of millions of profiles)., • Comfortable navigating complex stakeholder environments. Additional Information Why Join NIQ? • Build one of the most influential consumer identity data architectures in the U.S., • Work with cutting-edge cloud technologies (Snowflake, Databricks, identity graph frameworks)., • Be part of an innovative team pushing the boundaries of consumer analytics and ad-tech., • Flexible, fully remote work environment. Our Benefits • Flexible working environment, • Volunteer time off, • LinkedIn Learning About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the

Job Description Fairstead is a purpose-driven real estate firm dedicated to building affordable communities across the country. Headquartered in New York, with offices in Colorado, Florida, and Washington DC, Fairstead owns and manages a portfolio of more than 27,000 apartments across 28 states. As an integrated owner, operator, and innovator, Fairstead brings development, construction, and property management under one unified platform to deliver high-quality affordable housing that serves our residents at scale. At Fairstead, we believe affordable housing should be thoughtfully designed, professionally managed, and responsibly operated. We seek to create and preserve housing that serves residents while delivering long-term value to communities, partners, and stakeholders. Fairstead challenges industry norms through our tech-forward, entrepreneurial approach to affordable housing. In addition to core real estate capabilities, we operate innovative service lines designed to improve resident outcomes, strengthen communities, and drive operational efficiency. We embrace digital transformation, data-driven decision-making, and emerging technologies, including AI, to build scalable systems that support sustainable growth, grounded in a culture of entrepreneurship, innovation, partnership, dedication, and integrity. The Senior Full Stack Engineer, IoT will design, build, and own the end-to-end technology stack powering Fairstead's IoT platform — a proprietary system that connects sensors in our buildings to the data infrastructure that drives operational decisions across the portfolio. This role spans every layer of the stack: from device firmware and network configuration through message brokering and data normalization to storage, analytics, and user-facing applications. This is a foundational hire. Fairstead is building its IoT capability in-house to gain full visibility and control over its technology stack. The Senior Full Stack Engineer will be the technical lead responsible for architecting this platform — designing a modern, open-standards-based infrastructure that Fairstead owns and operates. The work starts with a live pilot and scales to a portfolio of 27,000+ apartments across 28 states. Beyond IoT, this role will help shape Fairstead's broader digital strategy, including integration with property management systems and other enterprise platforms. Responsibilities: • Architect and build Fairstead's proprietary IoT data pipeline from sensor to database — including LoRaWAN network server management, MQTT message brokering, event streaming, data normalization, and persistent storage, • Own the full stack: firmware configuration, network layer, ingestion layer, normalization layer, application layer, and data platform, • Design and implement a normalization framework that is device-agnostic and supports multiple IoT use cases (e.g., leak detection, air quality monitoring, submetering) without requiring schema changes, • Build and maintain application services, APIs, dashboards, and monitoring tools that surface IoT data to operations teams, • Evaluate build-vs-buy decisions across the stack, with a bias toward open protocols, portable data formats, and long-term flexibility, • Manage phased insourcing of platform capabilities — including data migration, device provisioning, and coordination with existing vendor partners during transition periods, • Establish end-to-end observability — monitoring device health, network performance, message delivery, and data integrity across every layer, • Integrate IoT systems with Fairstead's property management stack and other enterprise platforms, • 7+ years of professional software engineering experience spanning backend, frontend, and infrastructure, • Hands-on experience building IoT or connected-device systems — from the hardware/firmware layer through cloud infrastructure and user-facing applications, • Strong working knowledge of LoRaWAN, MQTT, and related IoT communication protocols, • Experience with message brokers and event streaming platforms (e.g., Kafka), • Proficiency in TypeScript/JavaScript and Python; familiarity with additional systems languages (C/C++, Go, Rust) is a plus, • Experience with PostgreSQL or similar relational databases; familiarity with time-series data patterns, • Comfortable with containerized deployments (Docker, Kubernetes) and cloud infrastructure (Azure preferred), • Experience with monitoring and observability tools (e.g., Grafana, Prometheus, Loki), • Familiarity with LoRaWAN network server platforms (e.g., ChirpStack) is strongly preferred, • Strong understanding of data pipeline architecture — ingestion, transformation, storage, and serving, • Demonstrated ability to work autonomously and make high-judgment technical decisions in ambiguous, early-stage environments, • Comfortable leveraging AI-assisted development tools and open to incorporating AI/ML capabilities into the platform over time, • Bachelor's degree in Computer Science, • Prior experience in smart building, proptech, or multifamily IoT companies (e.g., SmartRent, StratIS IoT, Quext, Rently, RealPage, Yardi, or similar), • Experience designing systems with explicit auditability requirements — traceable data handoffs, structured logging, and clear ownership boundaries between layers Salary Range$125,000—$185,000 USD Diversity in backgrounds and experiences is key to Fairstead's success. Being an equal opportunity employer is a central tenet of our philosophy that shapes who we are and the communities we serve. Our goal is to ensure competitive total compensation that is commensurate with experience, location, and other market benchmarks. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Position: Data Engineer Location: NYCNY/Atlanta GA (In-Person Interview) Duration: 12 Months Need locals to NY or GA with local DL/State ID W2 Only - Face to Face Interview Skills and Responsibilities: Design, develop, and optimize ETL pipelines using technologies such as Snowflake, Hadoop, Kafka,and distributed data systems, including real-time streaming and high-volumedata processing. Work across the full SDLCrequirements, design, coding, testing, deploymentwithstrong expertise in SQL,database design, Linux-based development, and distributed computing principles. Build and maintain data frameworks, dashboards, and analyticspipelines to deliver actionable business insights while ensuring performance,scalability, and reliability. Develop solutions using Python,Docker, Kubernetes, Bash, PowerShell, SQL/NoSQL/vector databases, and cloudplatforms such as AWS, Azure, GCP, or OCI.

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Job DescriptionCompany Description SOCOTEC is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects SOCOTEC’s combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth. SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work®. Job Description As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and deploying AI models that enhance our chatbot program and other AI-driven solutions. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to integrate advanced AI technologies that address real-world challenges within our industry. You will focus on building scalable, efficient, and accurate machine learning pipelines while staying at the forefront of the latest AI advancements. • Developing AI Models: Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems., • Collaborating with Cross-Functional Teams: Work closely with product managers, data scientists, and software engineers to translate business requirements into intelligent AI-driven solutions., • Building and Maintaining AI Pipelines: Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance., • Optimizing Model Performance: Continuously fine-tune and improve the accuracy, speed, and robustness of AI models, leveraging techniques like hyperparameter tuning and model optimization., • Implementing Best Practices in AI/ML Development: Ensure the reliability and quality of AI models by following best practices for training, testing, and model evaluation., • Integrating AI Solutions: Work closely with backend engineers to integrate AI models into production environments using tools like LangChain and cloud services., • Staying Updated with AI/ML Trends: Keep up with the latest developments in AI, machine learning, and natural language processing, applying new techniques to improve our technology stack., • Documentation: Provide detailed documentation of AI workflows, models, and algorithms to facilitate collaboration and ensure long-term maintainability., • Perform all duties as assigned by your managerQualifications, • Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face., • Strong understanding of natural language processing (NLP) and experience building chatbot or conversational AI systems., • Hands-on experience with AI model development, including data preprocessing, model training, evaluation, and deployment., • Familiarity with AI/ML tools like Jupyter Notebook and cloud platforms such as AWS, GCP, or Azure., • Experience with version control systems (e.g., Git, GitHub) and agile development methodologies., • Ability to optimize model performance and scale AI solutions for production use., • Experience with frameworks like LangChain for building conversational AI workflows., • Familiarity with reinforcement learning, transfer learning, or other advanced AI techniques., • Knowledge of model monitoring, A/B testing, and continuous improvement strategies for AI systems., • Experience with containerization tools like Docker for deploying AI solutions. Additional Information For more information, please visit Job Type: Full-Time, onsite 4 days a week Salary: $90k-$150k All your information will be kept confidential according to EEO guidelines. Socotec is an equal opportunity employer committed to diversity and inclusion in the workplace. SOCOTEC is an Equal Opportunity Employer.

Job Description About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to; • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health., • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization., • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training., • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement., • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs., • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products., • Master's or Ph.D. in a related field with a strong academic background., • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models., • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning., • Proficiency in data manipulation, feature engineering, and model evaluation., • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn., • Excellent communication skills and the ability to collaborate effectively within cross-functional teams., • A passion for continuous learning and staying updated with the latest trends and technologies in data science., • Strong problem-solving abilities and the capacity to translate complex data into actionable insights. Required knowledge of: • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • Data Warehouses (BigQuery, Snowflake, Redshift), • LLMs / AI APIs, • Git / GitHubNice to have:, • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • TypeScript, • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics., • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement., • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures., • Nice to have - familiarity with adstock/saturation curves and budget optimization Our interview process includes, but is not limited to the following: • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program Level 1 - Possesses essential capabilities * $145,057-$175,256 * Level 2 - Possesses developing capabilities * $175,256-$205,456 * Level 3 - Possesses notable capabilities. * $205,456-$235,655 * Level 4 - Possesses strong capabilities. * $235,655-$265,855 * Level 5 - Possesses advanced capabilities. * * $265,855-$296,054 About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de México, CDMX 06500, México