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We are looking for a highly motivated AI Engineer to join our IT team. This role is ideal for someone passionate about building real-world AI solutions and eager to work across the full AI technology stack—from model integration and retrieval pipelines to agentic AI workflows, multi-agent orchestration, and application-level features used by business teams. You will also contribute to data engineering efforts that feed AI capabilities, working alongside a modern analytics platform built on Microsoft Fabric. As an AI Engineer, you will help design, develop, and deploy AI capabilities. You will contribute to production-grade AI features in areas such as Open-to-Buy planning, Sales Forecasting, Intelligent Order Management Systems (OMS), Product Copy Generation, and Image Generation. This is a unique opportunity to work on meaningful, high-impact AI initiatives while implementing modern AI infrastructure, LLMOps practices, and scalable system design. This role will work from our Greenwich, CT office and report to the Senior Director of System Integration & Operation on our current hybrid schedule, 3 days in office and 2 days remote. Key Responsibilities: AI Application Development Build and maintain AI-powered features including: • Open-to-Buy optimization and inventory planning models, • Sales forecasting and demand prediction solutions, • Intelligent OMS features for routing, allocation, and automation RAG, GraphRAG, + Vector DB Engineering • Develop retrieval pipelines using vector embeddings and similarity search (Azure AI Search, FAISS, Pinecone, or equivalent)., • Implement chunking, embedding, indexing, query routing, and relevance-tuning strategies, including advanced reranking and hybrid search techniques., • Maintain a high-quality knowledge base to support AI features via Retrieval-Augmented Generation., • Explore and implement GraphRAG patterns to improve knowledge retrieval over structured enterprise data and entity relationships. AI Agents & Orchestration • Design and build AI agents capable of planning, tool use, and multi-step reasoning using frameworks such as LangGraph, PydanticAI, CrewAI, or Google ADK., • Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integrations to connect AI agents with internal tools, APIs, data systems, and other agents in a standardized, interoperable way., • Build guardrails, evaluation frameworks, and human-in-the-loop checkpoints to ensure reliable and safe agent behavior in production. AI Infrastructure & System Architecture • Maintain private cloud LLM instance landscape, ensuring secure and efficient usage., • Assist in deploying scalable inference pipelines, batching, and caching layers., • Collaborate with DevOps and Data Engineering on CI/CD, model deployment workflows, monitoring, and integration with the Microsoft Fabric data platform (including Fabric MCP for agent-to-data connectivity). Data Engineering, Pipelines & Model Training • Clean, transform, and prepare datasets for ML/AI pipelines; contribute to data engineering workflows including ELT pipeline design, medallion architecture patterns, and data transformation within the Lakehouse layer., • Train, validate, and fine-tune models where appropriate (LLMs, forecasting models, classification models, etc.); familiar with parameter-efficient techniques such as LoRA and QLoRA., • Evaluate model performance and optimize latency, accuracy, and cost using LLM evaluation and observability frameworks (e.g., RAGAS, LangSmith, Langfuse, Helicone, or custom evals); manage prompt versioning and regression testing. Required Qualifications: • Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field., • Strong foundations in Python, data structures, and machine learning concepts., • Comfortable working with LLM APIs, embeddings, vector databases, and RAG patterns; exposure to agentic patterns, tool use, and GraphRAG concepts is a strong plus., • Familiarity with cloud environments (Azure preferred; AWS or GCP also acceptable)., • Understanding of systems diagrams, architecture patterns, and AI infrastructure components., • Exposure to SQL/NoSQL databases., • Exposure to data engineering concepts such as ELT/ETL pipelines, data transformation, and data modeling., • Awareness of responsible AI principles including bias detection, fairness, and model interpretability., • Awareness of AI agent frameworks and orchestration concepts (e.g., LangGraph, PydanticAI, Semantic Kernel, CrewAI, or Google ADK)., • Familiarity with prompt engineering best practices including chain-of-thought, few-shot prompting, and structured output design. Preferred Qualifications: • Familiarity with Microsoft Fabric (OneLake, Lakehouse, Spark notebooks, semantic models) and Power BI; experience with Fabric MCP integrations is a strong differentiator., • Experience implementing MCP (Model Context Protocol) servers or A2A (Agent-to-Agent) protocol endpoints, or integrating AI agents with external tools and APIs., • Exposure to multimodal AI capabilities (vision-language models) for applications such as product image analysis or document understanding., • Experience building small AI apps, demos, or tools—portfolio/GitHub encouraged. What you'll Gain: • Hands-on impact in designing enterprise AI capabilities from the ground up., • Opportunities to work with cutting-edge LLM technologies in a private, secure environment, alongside a modern Microsoft Fabric data platform., • A chance to shape AI products used across supply chain, marketing, and e-commerce. Company Overview: Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD. Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels. Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime. This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment. The ideal candidate combines: • Strong security engineering and cloud architecture experience, • Deep, current familiarity with modern AI/LLM tooling and practices, • Familiar and can cover basic coding within the AI tooling space (python, others), • The ability to communicate clearly with senior leadership and influence enterprise-wide strategy Essential Duties and Responsibilities Secure AI / ML platforms and workloads • Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications., • Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads., • Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation., • Partner with data science and MLOps teams to harden:, • Data ingestion and labeling, • Training and fine-tuning pipelines, • Model registries and deployment workflows, • Inference APIs, agents, and integrations, • Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture. AI use case intake & governance • Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization., • Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards., • Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle., • Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams., • Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies. Monitoring, detection & assurance • Establish and maintain monitoring and detection for AI-specific threats, such as:, • Prompt injection and jailbreak attempts, • Data exfiltration and sensitive data exposure, • Misuse or abuse of AI tools and agents, • Anomalous model or pipeline behavior, • Integrate AI/ML systems with existing logging, SIEM, and incident response processes., • Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification. Strategy, leadership & enablement • Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk., • Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments., • Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress., • Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems. Qualifications Expected for Position • 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems., • 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems., • Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries., • Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring., • Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred., • Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption., • Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership. Preferred Qualifications: • Practical experience securing LLM- and genAI-based systems, such as:, • RAG architectures backed by internal data, • AI assistants, copilots, or agents integrated with enterprise tools, • Fine-tuned models and model hosting platforms, • Experience with AI IDE tools, • cursor, windsurfer, others, • Knows the security problems and has practical solutions that balances innovation with innovation., • Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools)., • Experience with:, • Security for data pipelines, feature stores, and model registries, • Detection engineering or SIEM tuning for AI-related events, • Red-teaming or adversarial testing of AI systems, • Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks)., • Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports., • Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus., • Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape., • High level of integrity and ethical conduct. This role is a fit if you: • Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects., • Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems., • Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation., • Can move fluidly between deep technical discussions and concise, executive-level explanations. This role is not a fit if you: • Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work., • Do not actively engage with current AI/LLM tooling, research, and emerging practices., • "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?", • "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?", • "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?" The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: ___.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position We are seeking an AI Engineer - Data & AI Platform to architect, build, and operationalize scalable generative AI and machine learning solutions across Snowflake, Databricks, and modern MLOps ecosystems. This role will partner with data scientists, ML engineers, and platform teams to design and deploy end-to-end AI/ML pipelines, advance AI integration, and ensure production-grade reliability for AI-driven products. The ideal candidate has 8+ years of experience in AI/ML engineering, with deep expertise in generative AI deployment, API-based AI services, large-scale data processing, and AI lifecycle management. The AI Engineer will not only deliver hands-on technical solutions but also set technical direction, mentor other engineers, and drive innovation across Teladoc's AI platforms. Essential Duties and Responsibilities * Operationalize GenAI and LLM applications, leveraging RAG (retrieval-augmented generation), vector search, prompt engineering, agentic AI, and MCP (Model Context Protocol). * Lead the design, development, and deployment of production-grade LLM and ML pipelines, including data transformation, feature engineering, training, tuning, and serving. * Architect scalable data and AI workflows on Snowflake, Databricks, and Azure ML, integrating AI models with modern data lakehouse platforms. * Build and maintain API-based AI services (FastAPI, Flask), enabling secure, performant, and reliable model access at scale. * Define and implement CI/CD pipelines for GenAI and ML services, using GitHub Actions/Azure DevOps, MLFlow, and container orchestration (Kubernetes, Docker). * Develop and enforce MLOps/LLMOps best practices, including experiment tracking, model versioning, observability, and governance. * Mentor ML engineers and data scientists on engineering rigor, scalable design, and production-readiness. * Partner with cross-functional teams to integrate AI services into products, ensuring security, compliance, and resilience in regulated healthcare environments. * Troubleshoot production AI systems, analyzing inference latency, drift, and performance issues, and implementing preventive solutions. * Document and communicate architecture patterns, operational standards, and AI development frameworks across the organization. The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs. Supervisory Responsibilities No Required Qualifications * Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field; equivalent work experience is acceptable. * 8+ years of experience in AI/ML engineering roles, with proven success in architecting and scaling production LLM/GenAI and ML systems. * Experience deploying LLM and GenAI solutions including RAG, vector database integration, and agentic/toolaugmented LLM systems (LangChain, MCP, or similar frameworks) * Experience with Snowflake or Databricks, using one or both as core platforms for data processing or AI/ML workloads. * Proven track record in MLOps/LLMOps, including CI/CD pipeline automation, model serving, monitoring, and governance, using modern AI infrastructure tools such as Docker, Kubernetes, Azure ML, MLflow, and Terraform. * Proficiency in Python and SQL, with experience processing highvolume datasets using bigdata tools such as Spark or equivalent distributed systems. * Ability to collaborate in cross-disciplinary teams (engineering, product, compliance, security) and deliver impact in regulated industries. Bonus Qualifications * Excellent communication skills to articulate complex GenAI/ML concepts to diverse audiences. * Strong leadership and mentorship abilities, fostering technical growth across teams. * Understanding of API-driven AI development, including Python-based API frameworks (FastAPI, Flask) or equivalent experience working with API development workflows. * Certifications in Snowflake, Databricks, Azure ML, or AI/ML platforms preferred. * Experience in healthcare AI applications and regulated AI deployment. The base salary range for this position is$170,000 - $190,000.In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here:___.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions. #LI-SS2 #LI-Remote We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Summary of Position The Principal Platform Engineer (DevOps / Developer Experience) is a senior individual contributor who accelerates platform delivery by pairing strong software engineering with deep platform/operations expertise. This role sets the technical bar, works collaboratively across cross teams, and delivers reusable patterns that improve delivery speed, reliability and developer productivity. Essential Duties and Responsibilities Accelerate Top Priorities * Act as a technical "force multiplier" on the highest-priority initiatives; clarify approach, resolve ambiguity, and drive work to completion with high quality and pragmatic trade-offs. * Reduce cross-team friction by defining clear interfaces, breaking work into deliverable increments, and enabling parallelization through strong architecture boundaries. Raising Engineering Standards * Establish and model best practices for engineering excellence: design docs/RFCs, architecture reviews, code review discipline, and effective automated testing strategies. * Drive API-first and "platform as a product" behaviors: define and promote consistent platform interfaces that reduce bespoke integrations and siloed solutions. Build Paved Roads * Create reusable platform capabilities (templates/modules/golden paths) that reduce reinvention and speed up delivery for teams. * Drive automation opportunities (including agentic/AI-enabled workflows) that improve operational and delivery efficiency. Improve Operational Excellence * Lead cross-cutting improvements that enhance stability and reduce toil: observability standards, alert hygiene, incident learning loops, and resilience patterns. * Partner with operations and platform stakeholders to measurably improve reliability outcomes and reduce operational drag on platform delivery teams. Partner and Mentor * Coach senior/staff engineers by pairing on real work, running reviews, and teaching pragmatic system-level thinking. * Set clear examples of technical leadership, collaboration, and accountability without formal people management responsibility. On-call Participation * Participate in the on-call rotation and contribute to restoration, root cause learning, and prevention. Required Qualifications * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 15+ years of hands-on software engineering designing, building, testing, deploying and operating large-scale distributed systems in cloud-native environments. * 5+ years operating at Staff or Principal scope, leading multi-quarter, cross-team technical initiatives that span 3+ teams and deliver organization-level outcomes. * 8+ years of experience designing and operating microservices-based systems, including API design and versioning, authentication and authorization frameworks (e.g. OAuth, OIDC, IAM), and Infrastructure-as-Code (e.g. Terraform, Cloudformation, ARM) * Deep hands-on experience (5+ years) in at least three of the following: Kubernetes and container orchestration platforms, public cloud infrastructure (AWS/Azure/GCP), CI/CD systems and deployment automation, Infrastructure-as-Code and configuration management, and production operations, reliability tooling and on-call systems. * Demonstrated ownership of production systems supporting business-critical workloads, including participation in incident response, post-incident reviews, and reliability improvements at scale. Preferred Qualifications * Proven ability to operate as a self-directed technical leader, navigating ambiguity, defining problem spaces, and driving clarity and alignment across multiple teams. * Demonstrated success influencing technical direction across globally distributed teams and multiple levels of the organization without formal authority. * Strong written and verbal communication skills, with the ability to translate complex technical concepts for engineering, product and executive audiences. * Experience designing or evolving internal platforms or self-service capabilities that materially improve developer experience, delivery throughput, or operational efficiency. * Strong background in observability (metrics, logs, traces), incident management, and reliability practices, with a track record of improving system health and reducing operational toil. * Deep understanding of performance optimization, system resilience, and observability in high-scale production environments. * Experience working in regulated industries such as healthcare or fintech, including familiarity with compliance-driven architectural and security considerations. * Familiarity with healthcare data standards (e.g. FHIR, HL7) and platform security best practices. The base salary range for this position is$180,000 - $210,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: ___.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in DevOps / Platform Engineering - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration,

Job Description ABOUT VEG In 2014, VEG was born with a mission to help people and their pets when they need it most by challenging norms and fixing the ER experience. Since then, we've expanded rapidly, with hospitals nationwide open 24/7/365, and created an ER experience that focuses on what our pets and pet parents really need. We've done the same for our people (VEGgies), finding a way to say YES so they are empowered to achieve great things, grow in unexpected ways, and find a place where they truly belong. We're rethinking emergency care from every angle—from how we run our hospitals to how we support the people working inside them. That's where our headquarters team comes in. Whether building technology to make our hospitals more efficient, recruiting and growing incredible VEGgies, or bringing our brand to life through marketing, our VQ (VEG Headquarters) team makes it all possible—ensuring our hospitals and people have everything they need to help pets and their families. VEG is a 2025 and 2026 certified Great Place to Work®. THE JOB We are looking for a Database Reliability Engineer who understands both the architecture and orchestration of data – someone with a sharp engineering mind and a passion for building systems that never blink. In this role, you'll be on the frontlines of our global expansion, bringing your expertise in AWS RDS, PostgreSQL, and Python to architect a data roadmap that scales from startup speed to global enterprise scale for hundreds of hospitals worldwide. At VEG, we find a way to say YES to building resilient, self-healing systems that eliminate "toil" and empower our medical teams to provide life-saving care 24/7/365. You will take ownership of the performance and stability of our data layer, implementing the standards and SLOs that ensure our systems remain robust as we expand. Join us to tackle complex challenges at the core of our infrastructure and make a measurable impact on the future of veterinary medicine – all while being part of a team that values your technical craft and your drive to see us thrive. WHAT YOU'LL DO • Analyze complex database access patterns to identify bottlenecks, then design and implement optimizations in Postgres and Python to ensure high performance as our workload keeps growing, • Architect and execute the roadmap to transition our data layer from startup scale to a global enterprise footprint, supporting our continued hospital expansion, • Build and maintain a world-class observability stack to transform 'surprises' into predictable, automated alerts, • Define and enforce Service Level Objectives (SLOs) and database best practices, ensuring that as we scale, our data remains resilient, secure, and highly available WHAT YOU NEED • Bachelor's Degree preferred or equivalent experience, • 7+ years of experience in DBRE/DBA/SRE/DevOps roles managing high-traffic production databases, • Deep PostgreSQL internal expertise, including a strong understanding of MVCC, indexing strategies, and query optimization, • Proven track record of managing RDS for PostgreSQL across Multi-AZ deployments, with a focus on parameter group tuning and high-concurrency traffic via RDS Proxy, • Designed and executed roadmaps for transitioning from a single primary database to a multi-cluster environment, utilizing read replicas, caching layers, and service-specific data stores, • You have direct experience with technologies relevant to our technical stack, which currently includes: AWS, RDS Proxy, PostgreSQL (RDS), Python WHO YOU ARE • Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives, • Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team's' accomplishments, • Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results, • Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge HOW WE INVEST IN YOU • Competitive Compensation Including ($170,000 - $220,000) + bonus + benefits., • Comprehensive health and wellness benefits that start on day one, and access to free therapy or counseling, • Paid parental leave, up to 10 weeks at 100% of regular salary, and offering inclusive fertility and family-building care for all types of families, • Unlimited PTO to use for vacation or sick days—however you need it!, • Generous employee referral program, so our awesome people can bring in more awesome people., • And the little (big) things, like casual office attire, ability to bring your fur baby to work, cool VEG swag, food in the fridge for when you're hungry and free lunches twice a week!!, • Company laptop and a monthly cell phone reimbursement DEI At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is "Helping people and their pets when they need it most." And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated. We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world's veterinary emergency company.

Provides technical oversight for all 3-4 DevOps and Cloud Engineers implementing blueprinted changes. Leads peer teams within the Application Development and Solutions Delivery (ADSD) department by creating detailed technical designs for DevOps and Cloud expansion. Provides hands-on direction to tea

Designs, implements, and supports deep and detailed monitoring across the code scan and test automation cycles of the DevOps pipeline. DevOps roles implementing CI/CD concepts with container orchestration platforms such as Docker, Kubernetes. A veteran DevOps Engineer by trade with very deep and ver

Qualified candidates should demonstrate leadership in software engineering, test automation management, and cloud environment practices.

Job DescriptionSolution EngineerJob Type: Temporary (12-month assignment) Pay Rate: $50-80/hour DOE Location: White Plains, NY | Hybrid (minimum 3 days on-site per week)Job OverviewMadison Approach Staffing is recruiting for a Solution Engineer to support our client's Information Technology department during a multi-year ERP transformation initiative. This role requires strong expertise in cloud architecture, enterprise application integration, and hybrid infrastructure solutions. The ideal candidate will lead end-to-end cloud architecture implementations, integrate SaaS/IaaS/PaaS components into existing enterprise systems, and ensure seamless interoperability between cloud and on-premises environments. Experience with ServiceNow, ERP systems, IDAM platforms, and multi-cloud environments (Azure, AWS, GCP) is essential. This is an immediate-start, 12-month contract opportunity.Key Responsibilities • Implement end-to-end cloud architecture for enterprise applications and services across Azure, AWS, and GCP platforms, • Evaluate and select appropriate cloud services based on business and technical requirements, • Lead integration of SaaS, IaaS, and PaaS components into existing enterprise systems including ServiceNow, ERP platforms, and IDAM systems, • Ensure seamless data flow and interoperability between cloud and on-premises systems, • Implement cloud security best practices including IAM (Identity and Access Management), encryption, and network security protocols, • Design hybrid and multi-cloud strategies to meet organizational needs, • Enforce architectural standards and reusable patterns across all implementations, • Maintain architecture diagrams, decision logs, and comprehensive technical documentation, • Provide support services for ongoing enterprise projects including SaaS migrations, HR system implementations, and platform modernization initiatives, • Develop and maintain governance documentation, technical architecture, and solution blueprints to guide effective implementation and evolution of projects, • Work closely with project teams and stakeholders to provide technical expertise and ensure all solutions align with organizational goals and industry best practices, • Conduct thorough analysis of client and user requirements; design, develop, and test software to meet defined specifications including the ability to uncover, comprehend, and document complex business requirements, challenges, and processesRequired Skills & Experience, • Experience: 5-7 years of designing and architecting technical solutions with focus on cloud infrastructure, • Cloud Architecture: Proven capability to implement end-to-end cloud architecture for enterprise applications and services, • Cloud Platforms: Strong hands-on experience with Azure, AWS, and/or GCP including service evaluation and selection, • Integration Expertise: Experience leading integration of SaaS, IaaS, and PaaS components into enterprise systems, • Hybrid Architecture: Ability to design and implement hybrid and multi-cloud strategies, • Enterprise Platforms: Experience with ServiceNow, ERP systems, and IDAM (Identity and Access Management) platforms, • Cloud Security: Deep knowledge of cloud security best practices including IAM, encryption, and network security, • DevOps: Familiarity with DevOps practices and CI/CD pipelines, • Solution Engineering: Advanced knowledge of industry-standard solution engineering, application architecture, and systems integration approaches, • Documentation: Strong ability to maintain architecture diagrams, decision logs, and enforce architectural standards, • Communication: Excellent verbal and written communication skills with ability to interact effectively with technical and non-technical stakeholders, • Education: Bachelor's degree or equivalent in Computer Science or related field, • Must be local to the Tri-State area and available for W2 employmentPreferred Skills & Experience, • Cloud fundamentals certification (Azure, AWS, or GCP), • Multiple cloud platform certifications, • Experience with governance frameworks and enterprise architecture methodologies, • Background in finance, HR, or supply chain management systems, • Familiarity with enterprise content management and collaboration platforms, • Experience with datacenter consolidation and IT infrastructure servicesWork Schedule & Details, • Monday through Friday, 7.5-hour work day with 0.5-hour unpaid lunch, • Hybrid schedule with minimum 3 days on-site (remote work privileges may be adjusted based on business needs), • Paid for time worked only; no paid holidays, vacation, or sick days during contract period, • Overtime not permitted unless authorized in advance, • Immediate start date availableTo Apply: Please submit your resume to Madison Approach Staffing. Only qualified candidates will be contacted for interview consideration.No C2C or subcontracted vendors. W2 eligible employees only.

Job Description Company Overview Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. About INTERACTIVE BROKERS! This is a hybrid role (4 days in the office/1 days remote). Interactive Brokers Group has been consistently at the forefront of trading innovation, starting with the invention of the first floor-based handheld computer in 1983. We pride ourselves on being primarily a technology company and challenging the status quo. We push boundaries to offer our clients the best trading platform with the most sophisticated features at the lowest cost. Software development is the lifeblood of our firm, and it shows in our stellar brokerage platform. Interactive Brokers is regularly recognized as a leader in the financial services industry. About Your Team: As a Senior DevOps Engineer, you will be a member of the Enterprise Architecture organization and responsible for ensuring the availability, scalability, and reliability of systems and applications. What will be your responsibilities within IBKR: • Write and review code, develop documentation and capacity plans, and conduct proof-of-concept work on new technologies., • Design, implement, and maintain CI/CD pipelines to ensure efficient and reliable build and release processes., • Serve as an escalation contact for service incidents as part of an on-call rotation., • Develop and maintain infrastructure-as-code using tools like Terraform or CloudFormation., • Mentor junior engineers and provide technical guidance., • Stay up-to-date with industry trends and emerging technologies. Which skills are required: • Bachelor's or Master's degree in computer science or other STEM-related field., • 5+ years of experience in Linux/Unix systems and networking fundamentals., • 5+ years of coding experience., • Experience with cloud platforms (AWS or Azure)., • Experience with infrastructure-as-code tools (Terraform or CloudFormation)., • Excellent skills in problem-solving and communication, both verbal and written. To be successful in this position, you will have the following: • Experience in a highly regulated industry such as health care or finance., • Experience with agile methodologies., • Experience with containerization technologies, such as Docker and Kubernetes., • Experience in application software developmentCompany Benefits & Perks, • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with a competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Daily company lunch allowance provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities

Job Description ABOUT VEG In 2014, VEG was born with a mission to help people and their pets when they need it most by challenging norms and fixing the ER experience. Since then, we've expanded rapidly, with hospitals nationwide open 24/7/365, and created an ER experience that focuses on what our pets and pet parents really need. We've done the same for our people (VEGgies), finding a way to say YES so they are empowered to achieve great things, grow in unexpected ways, and find a place where they truly belong. We're rethinking emergency care from every angle—from how we run our hospitals to how we support the people working inside them. That's where our headquarters team comes in. Whether building technology to make our hospitals more efficient, recruiting and growing incredible VEGgies, or bringing our brand to life through marketing, our VQ (VEG Headquarters) team makes it all possible—ensuring our hospitals and people have everything they need to help pets and their families. VEG is a 2025 and 2026 certified Great Place to Work®. THE JOB We are looking for a Senior Site Reliability Engineer who understands that at VEG, "reliability" is a medical necessity – if our proprietary platform, DogByte, goes down, a pet's life could be at risk. You will be the primary lead for our platform's resilience, transforming our infrastructure into a self-healing system that empowers our medical teams to provide 24/7/365 life-saving care. You will spend your time bridging the gap between high-level architectural strategy and hands-on technical "surgery," ensuring our engineering teams can build at pace while the foundation remains rock-solid. You will evolve and strengthen an existing system that must meet the demands of VEG's hospital expansion – ensuring our infrastructure never limits our ability to open new hospitals or provide medical care. You will own the ongoing stability of DogByte, scaling it from its current state into a robust enterprise platform where one hospital's traffic is isolated and does not impact another's experience. This job has an opportunity to work at our VQ in White Plains or could be open to remote work. WHAT YOU'LL DO • Formulate short- and long-term strategies to ensure DogByte withstands year-over-year volume increases, specifically solving for hospital-to-hospital traffic isolation, • Work with engineers to ensure data flows -- from client to API to database -- are configured for high-concurrency and maximum reliability, • Build automated processes to handle high-traffic spikes and automatically remediate common system errors, • Set up monitoring and alerting to identify latency throughout the stack and resolve issues before they impact hospital operations, • Establish and meet SLOs for high availability, ensuring our engineers can build products without worrying if the system can support them WHAT YOU NEED • Bachelor's Degree preferred or equivalent experience, • 5+ years in SRE/DevOps roles, expertly handling high-concurrency environments, • Deep understanding of the AWS ecosystem managed entirely through Infrastructure as Code, • Expertise in traffic management, including load balancing techniques, Nginx configuration, and autoscaling to handle volatile patterns, • Technical leadership in observability, establishing the tracing frameworks and monitoring required to diagnose latency issues and ensure high availability across the entire request lifecycle, • You have direct experience with technologies relevant to our technical stack, which currently includes: AWS ECS, Terraform, Nginx, PostgreSQL (RDS), Python WHO YOU ARE • Empathetic, instinctively taking a people-centric approach, whether supporting your colleagues or making an effort to understand different perspectives, • Have a sense of humility; acknowledging mistakes, sharing credit with others, and lifting up your team's' accomplishments, • Feel a strong sense of ownership over your work, taking responsibility for outcomes and staying committed to achieving long-term, impactful results, • Curious by nature; you ask insightful questions and continuously seek out opportunities to learn and grow your skills and knowledge HOW WE INVEST IN YOU • Competitive Compensation Including ($170,000 - $200,000) + bonus + benefits., • Comprehensive health and wellness benefits that start on day one, and access to free therapy or counseling, • Paid parental leave, up to 10 weeks at 100% of regular salary, and offering inclusive fertility and family-building care for all types of families, • Unlimited PTO to use for vacation or sick days—however you need it!, • Generous employee referral program, so our awesome people can bring in more awesome people., • And the little (big) things, like casual office attire, ability to bring your fur baby to work, cool VEG swag, food in the fridge for when you're hungry and free lunches twice a week!! At VEG, diversity is not just a word—it's a strength that fuels innovation and kindness. Our mission is "Helping people and their pets when they need it most." And we do that better when our VEGgies (employees) feel valued, respected, and empowered to bring their authentic selves to work. That's why we're devoted to creating an environment that reflects the diverse communities we serve—where different perspectives are not only welcomed but celebrated. We are focused on providing equitable opportunities for growth, promoting inclusive decision-making, and ensuring that everyone's perspective is considered. Saying yes to VEG means helping us build a culture where your unique experiences and background contribute to a shared vision: being the world's veterinary emergency company.

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