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Intellibus Consulting is a boutique engineering and AI transformation firm building mission-critical platforms for leading financial institutions. We are hands-on builders — our leaders stay close to architecture, engineering, and production systems while partnering directly with client executives. Job Description We are seeking a proven Technical Delivery Leader with a strong engineering background who has successfully delivered complex fintech or banking platforms within high-performance consulting or enterprise environments. This is a lead-from-the-front, execution-first role — not PMO, not coordination. You will be expected to operate at pace, drive outcomes, and work closely with engineering teams building production-critical systems. We are specifically targeting candidates who have demonstrated sustained success in demanding environments, not those who have transitioned out due to performance or pace constraints. End-to-End Delivery Leadership • Own delivery across multiple engineering teams building fintech/banking platforms., • Drive execution across architecture, development, testing, deployment, and production., • Deliver under tight timelines, regulatory constraints, and high stakeholder expectations. Execution Under Pressure • Operate effectively in fast-paced, high-demand environments., • Manage competing priorities, dependencies, and delivery risks., • Drive teams to meet aggressive timelines without compromising quality. Technical Leadership • Deeply understand and challenge., • System architecture., • API strategies., • Event-driven and distributed systems., • Data pipelines and reconciliation flows., • Partner closely with engineering teams — not operate at a distance. Production & Stability Ownership • Own production readiness and system reliability., • Lead incident reviews, root cause analysis, and stability improvements., • Ensure systems meet enterprise standards for performance, resilience, and compliance. Client & Executive Engagement • Act as the primary delivery partner to senior client stakeholders (VP/CXO)., • Lead executive reviews, roadmap discussions, and escalation management., • Translate business priorities into clear, actionable delivery plans. Consulting & Program Leadership • Lead delivery within consulting environments., • Navigate ambiguity, shifting scope, and stakeholder pressure., • Maintain delivery velocity while protecting engineering quality. Communication & Documentation (Critical) • Create high-quality client-facing materials:, • Architecture overviews., • Delivery plans., • Risk and mitigation frameworks., • Stability and incident reports., • Translate complex technical discussions into structured, executive-ready content. Engineering Depth & Technical Background (Must-Have) Candidates must have a strong engineering background and be comfortable working close to code, architecture, and production systems. We are specifically looking for individuals who have: • Prior hands-on experience as a software engineer (preferably backend), • Strong understanding of:, • Java / Spring Boot–based systems, • Event-driven architecture (Kafka or similar), • Microservices and distributed systems, • UNIX / Linux environments., • Cloud platforms (AWS preferred)., • CI/CD pipelines and release management. Must be able to: • Read and understand code when needed., • Challenge engineers and architects on design, performance, and scalability., • Engage meaningfully in architecture and production discussions. Required Experience Must-Have • 15+ years in technology delivery., • 8–10+ years leading complex engineering programs., • Strong experience in fintech, banking, or capital markets platforms., • Proven track record of successful delivery in fast-paced, high-performance environments. Consulting Pedigree (Highly Preferred) • Experience at: Accenture, IBM, Big 4, or similar consulting environments., • Demonstrated strong tenure and success, not short stints. Technical Depth Strong understanding of: • Distributed systems and microservices., • APIs and event-driven architecture., • Cloud platforms (AWS preferred)., • CI/CD and release management., • Data pipelines, batch processing, and reconciliation., • Monitoring, observability, and incident response. Leadership & Business Skills • Executive-level communication and stakeholder management., • Strong ownership mindset — drives outcomes, not status updates., • Ability to balance strategic thinking with hands-on execution., • Comfortable operating under pressure and defending delivery decisions. Presentation & Documentation (Non-Negotiable) • Exceptional PowerPoint / Google Slides skills., • Strong technical writing ability., • Proven experience presenting to senior stakeholders. What We Are NOT Looking For • PMO / coordination-only profiles., • Candidates without strong engineering foundations., • Profiles lacking fintech/banking platform experience., • Candidates with multiple short stints in consulting roles without proven success., • Individuals unable to operate in fast-paced, high-performance environments. Business & Leadership Skills • MBA or equivalent business leadership experience strongly preferred., • Executive-level communication and stakeholder management skills., • Comfortable owning escalations and defending technical delivery decisions., • Ability to balance strategic planning with hands-on execution. Our Hiring Process • 15-minute introductory call with Intellibus Recruiting Team., • Proctored GQ assessment + Slideware (presentation) evaluation., • Technical & Delivery Leadership Interview (30–45 min)., • Executive Interview., • Offer. If you are interested in reaching out to us, please apply, and our team will contact you within the hour.

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$128,000—$202,000 USDNew York, NY Salary Range$161,600—$202,000 USDDenver, CO Salary Range$148,400—$185,500 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 7+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * You will play a crucial role to architect and launch conversational experiences that are powered by state of art Generative AI capabilities to millions of Capital One customers * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases., • Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

This is a remote position. Application Architect Reporting to Head of Engineering Defines application design patterns modularity system structure and technical design standards to ensure solutions are scalable and maintainable. The Application Architect provides the application-layer blueprint for how software should be built. Architecture Standards Define application architecture patterns reference designs and engineering standards. Review major solution designs to ensure scalability maintainability and alignment to target-state principles. Guide teams on modularity APIs service boundaries and reusable components. Design Leadership Partner with Product Engineering and Solution Architecture on target-state design decisions. Contribute to roadmap planning by identifying architectural dependencies and technical investment needs. Evaluate tradeoffs between speed reuse and long-term maintainability. Quality & Enablement Mentor engineering teams on design quality and architecture best practices. Support code review and design review processes for high-impact initiatives. Document and evolve application standards as the portfolio grows. Requirements 8 years of software architecture or senior application engineering experience. Deep understanding of APIs modular applications integration patterns and scalable system design. Ability to communicate architecture concepts clearly to technical and non-technical stakeholders. Experience in cloud-based and enterprise application environments. Bachelors degree required. A systems thinker who values elegant durable design. Practical collaborative and able to balance ideal-state architecture with business needs. Comfortable influencing without becoming a bottleneck. Committed to reuse clarity and technical quality. Required Skills: 7 years of experience in application architecture or solution architecture roles Strong hands-on experience with AWS and/or Microsoft Azure cloud platforms Experience designing systems that integrate with data visualization tools such as Tableau and Power BI Proven experience building enterprise-level applications and distributed systems Strong understanding of data architecture ETL processes and API integrations Experience working with or integrating CRM platforms (DealCloud or similar) Knowledge of AI/ML concepts and frameworks (e.g. model integration data pipelines inference services) Proficiency in modern programming languages (e.g. Python Java ) Experience with microservices architecture and RESTful APIs Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 175000 - 230000

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: * Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. * A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). * At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. * Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: * Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. * Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. * Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. * Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. * Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote or Hybrid (NYC, Denver) Position Summary: Join our mission to transform our nation's healthcare system as a Software Engineering Summer Intern. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality. Why You'll Love Working Here • We have a remote-first culture., • You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions. As a Software Engineering Summer Intern, you will: • Collaborate with senior developers to implement new features and improve existing functionality., • Participate in planning and design discussions with product managers and designers., • Write clean, maintainable code using technologies like Python, React, and AWS., • Assist in testing and debugging software to ensure high quality., • Learn and apply Agile/Scrum development practices., • Receive mentorship and guidance to grow your technical skills and domain knowledge. We're looking for someone who is eager to learn and grow: • Currently enrolled in a Bachelor's Degree program and entering their Junior or Senior year in Fall 2026 in computer science, software engineering, or a related field., • Familiarity with Python (Flask / SQLAlchemy) and React / Typescript is a plus., • Basic understanding of SQL, • Exposure to cloud platforms like AWS is helpful but notrequired., • Interest in writing unit tests and learning best practices in software development., • Strong communication and collaboration skills., • Demonstrates initiative by proactively identifying opportunities for improvement, taking ownership of challenges, and contributing beyond assigned tasks to drive team and project success., • Passion for improving healthcare through technology. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$20—$22 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$142,800—$225,000 USDNew York, NY Salary Range$180,400—$225,000 USDDenver, CO Salary Range$165,600—$207,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! CTO Advisor About Anaplan At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. • Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. As a CTO Advisor you build strategic, technical relationships with our strategic accounts focusing on the offices of the CIO and CTO. You help grow the Anaplan footprint by building their enterprise architectures around Anaplan. This is a unique opportunity for a thought leader with deep enterprise technology expertise, proven industry experience and relationships, and exceptional collaboration skills to shape the future of Anaplan. Your Impact As a trusted leader and subject matter expert, you will: • Strategic Advisory: Generate new business by supporting our strategic accounts and large deals on technology and enterprise architectures, • Trusted Advisor: Build trusted relationships with key partners, customers and prospects through solution development and collaboration., • Analyze a company's key use cases around cloud driven data, data management and integration technology, • Advise CIOs on enterprise architectures and best practices around SaaS applications, data lakes, data management, PaaS, AI/ML/data science platforms, • Translate top CIO priorities into commercial opportunities, • Build trusted advisor relationships with IT Executives, • Executive level communications in-person, on stage and in writing, • 15+ years of experience in enterprise data software technology, • 5+ years at senior level (VP/Sr. Director), • Worked in the following roles:, • Senior IT leadership roles at a large enterprise in CPG, Retail, FSI, Manufacturing, Energy, Transportation, • Senior field advisory roles at large tech companies like Microsoft, AWS, SAP, Oracle, ServiceNow, Databricks, Snowflake, • Senior consultant or practice lead at a big consultancy firm, • Led high-impact digital transformation projects at enterprise scale Build your job in a place that thrives on diversity, inclusion, and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondences, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcement is to obtain privileged information from individuals. Anaplan does not:*-+ • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Role Overview: CLOUD SECURITY ENGINEER (HYBRID) ALL US OFFICES - CHI, SF, LA, BOS, NYC, D.C.) The Cloud Security Engineer is responsible for deploying, managing, and securing cloud solutions across AWS, Azure, and Google Cloud platforms. This role involves close collaboration with IT, Cloud Engineering & Operations, Network Operations and Data Science Center teams, acting as a technical lead and primary contact for cloud security projects, migrations, and integrations. The Cloud Security Engineer is expected to have hands-on experience managing cloud services in a hybrid environment, with a strong focus on implementing and maintaining robust security controls. In addition to technical responsibilities, the Cloud Security Engineer will engage with both internal colleagues at all levels within the firm and external stakeholders, ensuring seamless communication and coordination on cloud security matters. The Cloud Security Engineer will stay informed on emerging cloud security technologies and will translate information security policies into operational processes, continuously enhancing the security posture of the organization. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Designs and engineers secure cloud solutions leveraging Google Cloud, AWS and Azure IaaS, PaaS, and SaaS, with a focus on security best practices., • Researches, designs, and implements new cloud security technologies to enhance Cornerstone's cloud security posture., • Supports applications hosted in cloud environments, ensuring they meet stringent security standards., • Deploys and develops cloud cost management, budgeting, and expensing capabilities, with an emphasis on security aspects to control unauthorized access and expenditures., • Manages and reports on cloud costs, identifying and reporting unusual expenditures with a focus on security implications., • Conducts periodic audits of accounts, permissions, and access rights for cloud services in compliance with security policies., • Builds and maintains strong relationships across IT teams, fostering collaboration on cloud security issues., • Performs periodic gap analyses against current and future security requirements to improve cloud security measures; recommends relevant improvements., • Administers and supports secure connectivity to cloud services, ensuring encrypted and protected data transfers, using AWS Direct Connect and Azure Express Route., • Monitors daily maintenance event logs for cloud-based environments and addresses any noted issues., • Maintains security patches in alignment with industry best practices., • Creates and maintains cloud-related security policies and procedures in partnership with the Director, Information Security., • Creates and maintains cloud security operational documentation and training materials for use by IT staff. What You'll Need to Be Successful: • 8+ years of experience in cyber security roles required, with professional services experience preferred., • Extensive experience supporting and administering AWS, Azure, Google Cloud and O365 cloud environments., • Experience with cloud security implementations, migrations, and integrations within secure frameworks., • Familiarity with programmatic means of cloud security administration, such as cloud APIs and CloudFormation Templates on AWS, with a focus on secure configuration., • UNIX/Linux experience with a strong exposure to server administration., • Bachelor's degree in a relevant field or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Security - Specialty and/or Microsoft Certified: Azure Security Engineer Associate or similar)., • Additional security related IT certifications (e.g., CISSP, CISM, CompTIA Security+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Boston: $138,900 - $166,300 Chicago: $132,600 - $158,600 Los Angeles: $139,300 - 166,800 New York: $141,800 - $169,700 San Francisco: $152,200 - $182,000 Washington, D.C.: $136,100 - $162,900 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Posting Type Hybrid Job Overview We are seeking a high-octane, Individual Contributor (IC) to serve as the lead Product Manager of our cloud infrastructure, observability and developer experience strategy. In this role, you won't just manage a roadmap; you will own the end-to-end Customer outcomes and technical vision for the ecosystem that powers our training, fine-tuning, and inference workloads. This is a role for someone who thrives on deep technical complexity, high-stakes stakeholder influence, and direct hands-on delivery. Vision: To build a resilient, invisible, and limitlessly scalable AI infrastructure that transforms Relativity One into the world's most intelligent legal platform, making generative AI and agentic capabilities instantly accessible, cost-effective, and secure for every matter and customer class. Mission Statement: To empower Relativity's Internal Engineering, Partner Developers and AI Research teams with a unified, cloud-native ecosystem. We will relentlessly optimize for Tokens-per-Second-per-Dollar (TPS/$), champion developer productivity through standardized APIs, ensure zero-compromise tenant isolation, and zero-touch scaling of the infrastructure for Customer workloads. The Mission You will be the primary driver of our platform's evolution, bridging the gap between cutting-edge AI requirements and robust infrastructure engineering. Your goal is to build a world-class developer experience that makes "scaling to production" a frictionless reality. Job Description and Requirements Core Responsibilities * Strategic Technical Roadmap:Define and execute a long-term vision for cloud infrastructure that supports multi-domain AI workloads. You are responsible for the "What" and the "Why." * Platform Excellence & Design:Partner directly with Engineering to architect elastic and efficient systems. You will translate complex infrastructure needs into actionable product requirements for rapid experimentation and production scale. * Developer Experience (DX) Ownership:Build delightful user experience that make unified developer experience a reality by understanding deeply pain points of Internal and Partner Developers using Infrastructure as a Service. You will maintain the end-to-end DX, including hands-on contributions such asdocumentation-as-code, markdown-based guides, and reviewing Pull Requests. * Observability Data-Driven Optimization:Establish and own the North Star metrics for adoption, performance, and cost-efficiency. You will utilize deep competitive and market insights to pivot tactics and ensure we are building for the future. * Stakeholder Influence:Act as the lead evangelist, building consensus across Security, Finance, and Engineering. You will navigate a complex organizational landscape to align diverse roadmaps into a cohesive platform strategy. * Adoption & Enablement:Craft and execute the rollout strategies that ensure internal teams aren't just using the platform but are thriving on it. Who You Are * A Seasoned IC Driver:You have a proven track record of shipping platform-level products at scale. You prefer the "trenches" of product discovery and technical design over traditional people management. * Technically Fluent:You are comfortable discussing GPU orchestration, inference latency, and CI/CD pipelines with senior engineers. You can hold your own in a PR review. * Outcome-Obsessed:You lead with OKRs and KPIs. You don't just ship features; you move the needle on engineering velocity and infrastructure reliability. * Master Communicator:You can distill a complex cloud transformation strategy into a 5-minute executive brief or a 50-page technical spec with equal ease Technical Skills & Tools * Infrastructure:Deep understanding of cloud ecosystems (AWS/GCP/Azure) and AI/ML workflows. Deep understanding of AI tech stack across Compute, Storage and NW. * Tools:Proficient in Markdown, Git/GitHub (PR workflows), and data analytics platforms. JIRA, Confluence, Product board, etc. * Frameworks:Mastery of feature management, A/B testing methodologies, and cloud-native development practices. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $163,000 and $245,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Agile Methodology, Cross-Functional Teamwork, Market Analysis, Market Strategy, Product Lifecycle Management (PLM), Product Management, Product Strategies, Strategic Planning, Team Leadership, User Experience (UX)

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks., • Direct the orchestration of asynchronous agent fleets to meet mission requirements., • Lead customer engagements to translate mission needs into technical requirements., • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria., • Conduct technical reviews and identify risks within machine learning infrastructure and model serving., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We're building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. The Global Forward Deployments (GFD) organization operates as a critical horizontal layer across Scale, sitting at the intersection of Engineering, Product, Design (EPD), Delivery, and GTM. As our business scales, we are growing the GFD Project Management Office (PMO) to act as the connective tissue that brings structure to ambiguity by aligning teams, organizing cross-functional workstreams, and keeping priorities coordinated across the organization. As a Technical Program Manager within this expanding PMO, you will drive execution across diverse initiatives by partnering closely with Infrastructure & Security, Product, Software Engineering, Machine Learning, Mission/Field Engineering, Delivery, and Go-To-Market (GTM) teams. Your focus will be integrating engineering roadmaps, customer delivery timelines, and security constraints to enable successful deployments in complex, isolated environments. • Lead as a Horizontal PMO Partner: Serve as a central node within the growing GFD PMO, driving alignment across Engineering, Product, and Design (EPD) initiatives and ensuring priorities remain top-of-mind across the organization., • Spearhead Niche Initiatives: Take on Scale's difficult-but-ambiguous problems, breaking them down in a structured way and driving them to successful outcomes. You will dive into both technology and organizational processes to craft effective solutions and gain efficiencies, track resourcing and vendor management, and align internal resources to solve unique organizational, and technical challenges., • Bridge EPD, Delivery, and GTM: Act as the primary technical program manager uniting GFD with Product, ML, Mission & Field Engineering, Delivery, and GTM teams to wrangle contractual deliverables across EPD, unblock complex custom integrations, and drive technical milestones against critical contract checkpoints., • Optimize Cross-Functional Processes: Collaborate with stakeholders across the company to improve processes and procedures, ensuring Scale's continued success., • Foster Communication: Create an effective feedback loop between all teams within EPD as well as with partner teams like Legal, BizOps, and Partnerships., • Current or past Security Clearance (TS/SCI preferred)., • Proven experience partnering closely with Product and cross-functional Engineering teams to align technical roadmaps, manage dependencies, and drive complex, multi-team initiatives., • Experience in project management, including planning, organizing, and managing resources., • A demonstrated capacity to operate effectively and maintain high-quality output within a high-tempo, ambiguous, or chaotic environment., • Experience in security and compliance, with a focus on cross-departmental collaboration., • Experience in delivering secure and reliable solutions within classified, isolated, and air-gapped environments., • Demonstrated understanding of security practices within cloud environments (e.g., AWS, Azure, GCP)., • Experience in a high growth, fast-paced technology company., • Experience in microservice design and Kubernetes-based container orchestration., • Experience applying AI or Machine Learning., • Strong analytical skills, with experience using data analysis tools or software., • Demonstrated history of fostering cross-functional collaboration with Delivery, Sales, and Engineering teams., • Backlog refinement & roadmapping experience with tools like Linear and JIRA., • Proven experience translating complex SOW requirements into tactical engineering deliverables, • Experience maintaining alignment with organizational capacity planning and delivery timelines. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$136,000—$260,000 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is:$136,000—$260,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: • Own large new areas within our product, • Work across backend, frontend, and interacting with LLMs and ML models, • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • 7+ years of full-time engineering experience, post-graduation, • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering - you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps - but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. • Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance., • Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity., • Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity., • Perform digital incident investigations to identify and contain potential security breaches., • Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies., • Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows., • Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization., • Utilize threat intelligence platforms to improve hunting, detection, and response workflows., • Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders., • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation., • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code - not just scripts., • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments., • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically., • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs., • Familiarity with digital forensics tools and malware analysis techniques., • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate., • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows., • Strong communication skills, with the ability to translate complex security findings into clear business impact. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote Position Summary: OurScalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity.In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyondmaintaininginfrastructure,you'llarchitect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure-from application logs and metrics to distributed traces.You'llbuild production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, andoptimizetheir systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. Position Responsibilities: In this role,you'llown the observability infrastructure that powers our engineering organization. You will: • Architect observability platform: Design, implement, andmaintainthe LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience., • Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities., • Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost., • Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis., • Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics., • Balance cloud-native and open-source: Architect solutions that thoughtfullyleverageboth AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack,Quickwit) tooptimizefor cost, performance, and operational flexibility based on use case requirements., • Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure., • Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly., • Partner with engineering teams: Work directly with product teams to integrate observability into their services,establishlogging and metrics standards, and instrument code effectively, serving as the observability subject matter expert., • Enable performance optimization: Provide the observability foundation that allows the Scalability team toidentifyperformance bottlenecks, track optimization impact, and measure platform stability with data-driven insights., • Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices., • Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices., • Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning., • Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients., • 10+ years of software engineering or infrastructure engineering experience withdemonstratedprogression into technical leadership roles., • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure., • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services., • LGTM stackexpertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale., • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns., • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena,DuckDB, or similar query engines for analyzing structured and semi-structured data at scale., • Cloud-native and open-source balance:Demonstratedability to architect solutionsleveragingboth managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in., • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines., • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics)., • Systems thinking: Deep understanding of distributed systems,microservicesarchitectures, and the complex observability challenges they present., • Data at scale: Proventrack recordhandling high-volume structured and unstructured logging data,identifyingpatterns, and building efficient search/query solutions that perform well under load., • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go., • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources., • Additionalobservability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms., • Advanced query languages: DeepexpertisewithPromQL,LogQL, SQL optimization, and query optimization for high-cardinality data., • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3., • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements., • Cost optimization: Track record of reducing observability costs whilemaintainingor improving capabilities (e.g., CloudWatch S3/custom indexing migration)., • Data pipelines:Experience withstreaming data pipelines, ETL processes, or real-time data processing., • Distributed tracing: Deep knowledge ofOpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures., • Gitexpertiseand experience working in a mono repository., • PreviousPharmacy Benefits Manager (PBM) or healthcare technology experience. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$110,400—$213,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Strong experience with cloud data platforms (AWS and/or Azure) Expertise in data modeling data warehousing and data lake architecture Hands-on experience with ETL/ELT tools and data pipeline design Experience supporting BI tools such as Tableau and Power BI Strong SQL skills and experience with at l

As a leading financial services and healthcare technology company based on revenue SS&C is headquartered in Windsor Connecticut and has 27000 employees in 35 countries. Some 20000 financial services and healthcare organizations from the worlds largest companies to small and mid-market firms rely on SS&C for expertise scale and technology. Job Description Associate Manager Software Development Location(s): New York - Hybrid Get To Know the Team Our Software Development team is responsible for building enhancing and maintaining scalable high-performing applications that support critical business operations and client solutions. As an Associate Manager you will lead a team of engineers while remaining close to the technologydriving delivery improving engineering practices and partnering cross-functionally with Product QA and Infrastructure teams. Why You Will Love It Here! • Flexibility: Hybrid Work Model & a Business Casual Dress Code including jeans, • Your Future: 401 (k) Matching Program Professional Development Reimbursement, • Work/Life Balance: Flexible Personal/Vacation Time Off Sick Leave Paid Holidays, • Your Wellbeing: Medical Dental Vision Employee Assistance Program Parental Leave, • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds Talents and Experiences of Our Employees, • Training: Hands-On Team-Customized including SS&C University, • Extra Perks: Discounts on fitness clubs travel and more! What You Will Get To Do • Lead and mentor a team of software engineers fostering a culture of collaboration accountability and continuous improvement, • Drive end-to-end delivery of software solutions ensuring alignment with business priorities and technical roadmaps, • Partner with Product Management QA and other stakeholders to define requirements scope and delivery timelines, • Oversee design development testing and deployment of scalable high-quality applications, • Ensure adherence to engineering best practices including code quality testing CI/CD and documentation, • Manage team capacity workload distribution and performance including hiring and development of team members, • Identify and mitigate risks proactively addressing technical and delivery challenges, • Contribute to architectural discussions and technical decision-making, • Drive process improvements to enhance team efficiency delivery speed and product quality What You Will Bring • Bachelors degree in computer science Engineering or related field (or equivalent experience), • 5 years of software development experience with at least 12 years in a leadership or mentoring capacity, • Strong hands-on experience with modern programming languages (e.g. Java C Python or similar), • Experience building and maintaining enterprise-level scalable applications, • Experience building and scaling technology platforms within the fund of hedge funds or alternative investments space strongly preferred, • Strong domain expertise in investment systems risk platforms data architecture and workflow automation, • Proven track record of driving operational efficiency and platform scalability within investment management environments, • Professional credentials such as CFA CAIA or MBA are highly desirable, • Familiarity with Agile/Scrum methodologies and modern software development practices, • Experience with cloud platforms (e.g. AWS Azure) and CI/CD pipelines preferred, • Strong understanding of system design architecture and software engineering principles, • Excellent communication and stakeholder management skills, • Proven ability to balance technical contributions with people leadership responsibilities, • Self-starter mindset with the ability to manage multiple priorities in a fast-paced environment Thank you for your interest in SS&C! To further explore this opportunity please apply through our careers page on the corporate website at ___

Description Job Description Were seeking an experienced and highly skilled engineering leader to drive the architecture delivery and operational excellence of platforms that power JPMorgans Alternative Investments business. As a Senior Vice President you will set technical direction lead teams and partner closely with product architecture controls and business stakeholders to deliver secure scalable and resilient systems for a portfolio that spans over $170bn in assets and 300 fund investments across private equity growth equity & venture capital private credit private real estate and private infrastructure. Job responsibilities • Lead and actively contribute to the design development and deployment of high-quality applications aligned to the Alternatives business., • Build event-driven Java Spring Boot microservices; contribute directly to the codebase., • Architect and operate scalable systems leveraging Kafka k8s MSK and AWS services., • Drive program collaboration across cross-functional teams., • Drive adoption of domain-driven design; participate in and guide architecture discussions., • Define and maintain documentation of service APIs (e.g. Swagger/OpenAPI)., • Lead and participate in code reviews; enforce high maintainability through TDD/BDD practices., • Validate service scalability and resilience using mock testing frameworks and performance testing strategies., • Mentor and develop junior engineers fostering a collaborative growth-oriented culture., • Add to team culture of diversity opportunity inclusion and respect. Required qualifications capabilities and skills • Formal training or certification on Software Engineering concepts and 5 years applied addition 2 years of experience leading technologists to manage and solve complex technical items within your domain of expertise, • Advanced proficiency in Java with strong willingness to code hands-on., • Extensive experience delivering Java and Spring/Spring Boot systems at scale., • Strong experience with CI/CD DevOps toolchains and agile test-driven delivery., • Expert proficiency in testing frameworks like JUnit TestNG and Cucumber., • Deep understanding of microservices REST APIs SQL and NoSQL databases event-driven architectures., • Demonstrated ability to mentor coach and grow engineering talent. Preferred qualifications capabilities and skills • Hands-on experience with AWS cloud services (e.g. ECS S3 Lambda) and proficiency in Infrastructure as Code (IaC) using Terraform., • Familiarity with full-stack application development., • Experience with AI coding tools like GitHub Copilot Cline Claude Code., • Proven ability to solve complex problems; excellent communication and leadership skills., • Continuous learner and early adopter of emerging technologies and practices. Required Experience: Manager Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 171000 - 260000

Strong hands-on experience with AWS and/or Microsoft Azure Experience designing enterprise-scale cloud solutions and distributed systems Strong understanding of networking security and cloud infrastructure principles Experience supporting data platforms analytics and ETL/ELT pipelines Experience wit

You will have the opportunity to define and design cloud-native reference architectures for data and analytics use cases that support customers platform. Participate in deep architectural and design discussions with customers to create world-class solutions built on AWS. Capture and share best-pract

Site Reliability Engineer Overview: As a Site Reliability Engineer at Weedmaps you will work cross-departmentally with your partners on the application infrastructure and quality teams to enhance the performance reliability resilience and scalability of the web services that make up . We are a cloud native organization with 100% of our services in Docker running on Kubernetes in AWS public cloud. We also leverage observability monitoring CI/CD automation and custom tooling to push multiple production releases a day. Your day to day focus will be leveraging your engineering skills to assist in the building out monitoring reducing developer toil configuring CI workflows and improving our deployment pipelines. You will also be a knowledge reference for our development teams to ensure they are leveraging consistent tooling for metrics logging build and deployment. You will work closely with the development and infrastructure teams to identify the essential service-specific metrics (beyond the golden metrics) that need to be monitored and work with application development teams to create libraries to allow services to easily instrument their services. The impact youll make: • Collaborate with stakeholders to drive best practices for monitoring CI/CD pipelines, • Troubleshoot deployment issues in our CI pipeline, • Advocate emphatically for the DevOPS culture here at Weedmaps, • Identify areas for automation and embrace the codification of all things, • Evangelize best practices around collaboration reliability security and performance to all partner teams, • Take ownership of the application configuration/scaling for given services to ensure that they are following the established practices of the organization, • Minimum 2 years of development experience at startup/mid-sized companies, • Proficiency in Python Go Node Ruby or Elixir, • Knowledge of containerization particularly Docker (Kubernetes is a plus), • Effective communication skills a positive attitude and ability to give and receive constructive feedback, • Professional experience with cloud native observability standard such as Open metrics Open tracing and Open Census, • Expertise using/configuring modern CI/CD workflows, • Intimate understanding of SLIs SLOs and SLAs from the service level to the business level, • Intimate understanding of the golden metrics how to monitor and alert on them, • Deep understanding of the GitHub branching strategy, • Experience troubleshooting containerized applications, • Familiarity with cloud infrastructure concepts (AWS GCS), • Experience with Hashicorp tools such as Terraform Consul Vault, • Computer science or other engineering background, • Experience with CI tools such as CircleCi Jenkins Travis Drone Semaphore etc. 2026 US Benefits for Full Time Regular Employees: • Physical Health (Medical Dental & Vision), • 100% employer-paid premium for employees, • Up to 80% coverage for dependents, • Company HSA contribution with the High Deductible Health Plan, • 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution), • Basic Life Voluntary Life and AD&D Insurance options, • Supplemental voluntary benefits, • Student Loan Repayment/529 Education Savings with a monthly company contribution, • FSA (Medical Dependent Transit and Parking), • Voluntary Life and AD&D Insurance, • Critical Illness Insurance, • Accident Insurance, • Short- and Long-term Disability Insurance, • Pet Insurance, • Identity theft protection, • Legal access to a network of attorneys, • PTO paid sick leave and company holidays (including a 2026 holiday shutdown) Life at Weedmaps means innovation and heart. Come join us if you care about the plant the people who love it and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed and the community that supports it. You too can have a hand in shaping the industrys future; ready to roll with us See how weve grownour journey leadership team and whats next at ___

Job Description: At Bank of America we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients teammates communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace attracting and developing exceptional talent supporting our teammates physical emotional and financial wellness recognizing and rewarding performance and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America you can build a successful career with opportunities to learn grow and make an impact. Join us! Job Description: This job is responsible for defining and leading the engineering approach for solutions at the program or portfolio level to deliver significant business outcomes. Key responsibilities include continuously improving the design quality and reuse of the solution and delivering technology enablers that improve development efficiencies for the solution. Job expectations include familiarity with at least one area of engineering acting as a go to reference across the organization and applying knowledge to improve technical competencies through recruitment and development activities. Responsibilities: • Develops the engineering approach for the entire program/portfolio solution and works with Architecture to develop/analyze/deliver the implementation of technical enablers, • Leads the planning definition and design of the complex features which span multiple teams and explore solution alternatives, • Creates ideas on designing complex technology and solution development approaches, • Leads the technical oversight for teams in solution development including design reviews and code within own domain, • Defines the technology tool stack for the solution within ranged of internally approved and supported technologies, • Explores state-of-the-art technologies to improve development efficiencies quality of test/QA coverage and release management, • Leads and is responsible for the end-to-end test strategy/creation/adherence and the integration between teams for a program/portfolio solution Position Summary: We are seeking a highly experienced and technically proficient Principal Engineer to join our team in building a next-generation wire payment processing platform hosted on AWS. This role blends leadership and architecture requiring deep expertise in modern technologies and payment this role you will be responsible for designing implementing and optimizing cloud solutions that drive our business forward and meet our clients evolving needs. The ideal candidate will have strong experience in leading teams working in cloud platforms (AWS Azure or GCP) Java Oracle Kafka and RabbitMQ . This role demands a strong understanding of payment systems including Wire ACH and RTP and the ability to lead teams through complex technical challenges. Leverage domain and technical expertise to set direction and drive project execution. Foresee and proactively address risks issues and dependencies. • Work with business operations internal technology teams and with vendor partners to ensure successful project delivery., • Summarize create presentations and present initiative-specific compelling executive-ready presentations conveying the strategy business case and recommendations to Senior and Executive Leadership across product operations technology and compliance., • Risk Manager: Ensures proper risk discipline controls and culture are in place to identify escalate and debate issues., • People Manager & Coach: Provides inspection coaching and feedback to motivate differentiate and improve performance., • Driver of Business Outcomes: Delivers results by effectively prioritizing inspecting and appropriately delegating team-work. Required Qualifications Fifteen plus years experience with: • Designing and implementing scalable secure and cost-effective AWS cloud architectures, • Migrating on-premises applications and data to the AWS cloud, • Creating and maintaining CloudFormation templates for infrastructure management, • Ensuring compliance with industry standards and regulations, • Collaborating with clients and internal teams to gather requirements and develop solutions, • Optimizing existing cloud infrastructures for performance and cost-efficiency, • Providing technical leadership and mentoring to team members, • Recent experience tackling complex challenges in distributed data systems using Java (Enterprise Edition) Oracle SQL and Python., • Experience using Java/J2EE technologies to develop scalable enterprise-grade applications libraries and frameworks., • Designed and developed solution architecture to scale backend systems with Spring framework Spring MVC and RESTful APIs., • Hands-on experience with messaging systems like Kafka and RabbitMQ., • Utilized DevOps technologies for CI/CD including Ansible Jenkins JFrog and Git., • Designed and implemented database development on Oracle Exadata., • Proven experience in leading and mentoring a team of engineers., • Strong understanding of software development testing deployment and support using agile methodologies., • Expert-level proficiency in Java Enterprise Edition and related frameworks (e.g. Spring Hibernate) and advanced SQL., • Excellent written and verbal communication skills., • Ability to write specifications and design documents. Desired Qualifications • Domain expertise in payment systems including Wire ACH RTP., • Knowledge of ISO 20022 messaging standards., • Exposure to event-driven architecture and distributed systems., • Understanding of regulatory and compliance requirements in financial services., • Experience with observability tools like Splunk Prometheus and Grafana., • Knowledge of financial products data such as Equities Fixed Income and Derivatives., • Automation, • Influence, • Result Orientation, • Stakeholder Management, • Technical Strategy Development, • Application Development, • Architecture, • Business Acumen, • Risk Management, • Solution Design, • Agile Practices, • Analytical Thinking, • Collaboration, • Data Management, • Solution Delivery Process Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101) Pay and benefits information Pay range $156500.00 - $230000.00 annualized salary offers to be determined based on experience education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits access to paid time off resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Required Experience: Staff IC Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 156500 - 230000

Required Qualifications 47 years of experience in Cybersecurity Security Engineering or Cloud Security roles Hands-on experience securing AWS and/or Azure environments Strong understanding of network security application security and cloud security principles Experience with IAM access control and a

Practical experience with cloud platforms (such as AWS Azure or Google Cloud) including deploying managing and scaling applications in cloud environments. Experience leading teams in adopting new technologies and best practices across software engineering communities. As a Lead Software Engineer at

Provides technical administrative and operational leadership to assigned AWS/Azure projects.Responsible for managing multiple AWS/Azure cloud development hosting and implementation tasks (schedule quality cost risk) across the lifecycle of cloud managed services including managing architects enginee

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Client: Estée Lauder Companies (ELC) Title: Cloud Network Security Engineer (Information Security Engineer) Location: Hybrid (out of Long Island City office, 3 days a week on-site) - Full Address: 27-01 Queens Plaza North, Long Island City, NY 11101. Secaucus, NJ data center visits as needed (migration-related only) (Data center address: 275 Hartz Way, Secaucus, NJ 07094 Types of position: Contract Duration: 12 months of contact opportunity for extension or conversion into a permanent role Job Description: Cloud Security Engineer Job Description This role blends deep cloud expertise, strong security engineering, and hands‑on automation skills to support large‑scale cloud migrations and ongoing operational excellence. Cloud Security Engineers help plan and carry out an organization’s information security strategy. They develop a set of security standards and best practices for the organization and recommend security enhancements to management as needed. They develop strategies to respond to and recover from a security breach. They are well organized and thrive in fast-paced, high-energy scenarios. The candidates we are seeking should have the following security skills. • Leads design and implementation of initiatives to secure, scale, and build resilient cloud infrastructure. This role focuses on architecting, migrating, and securing workloads across AWS and Google Cloud Platform (GCP) while ensuring compliance with industry regulations and best practices., • Design, implement, and maintain cloud networking solutions, including VPCs, subnets, routing, peering, Transit Gateway, and hybrid connectivity., • Deploy and manage AWS load balancing solutions, including ALB, ELB, and Gateway Load Balancer., • Implement and maintain CloudWatch monitoring, alerting, and observability dashboards., • Work with containerless architectures and modern application delivery patterns., • Manage infrastructure workflows using GitHub, including version control, CI/CD pipelines, and code review processes., • Build automation and tooling using Python, Ansible, and Terraform to streamline deployments and day‑to‑day operations., • The individual will need to be very organized, flexible, results-oriented, and able to multitask to meet the demands of our dynamic environment, • The candidate should be a self-starter, be able to work with minimal supervision, properly and effectively communicate project/work status to management and peers, take full ownership and responsibility of the tasks assigned to her/him, and work them through completion., • The candidate should be able to demonstrate both technical capabilities and in-depth knowledge of various cloud security, networking concepts, and technologies best practices., • The candidate should have the ability to convey in non-technical terms complex technical explanations related to problems, designs, etc., • 3-6 years of experience in an AWS or GCP cloud engineering role, • Must be comfortable with Linux and command line tools., • Good understanding of security technologies such as firewall, load balancing, proxy, and authentication methods, • Troubleshooting know-how of network and security systems with minimal guidance is required. Low-level (packet-level) network and application protocol analysis and troubleshooting experience is required., • Excellent oral and written communication and documentation skills are essential., • Should provide sanitized examples of written documentation, • Should provide a sanitized example of any network diagrams they drew or maintain., • The successful candidate will need to have a good understanding of industry-leading network and security technologies from a design, engineering, and troubleshooting perspective., • Provide technical support as needed to troubleshoot issues related to cloud, networking, and security., • Share the responsibility for operational support issues and ad-hoc request processing., • Opening support cases with various cloud providers, product vendors, telecom providers/carriers, and working on the cases through complete resolution., • Provide after-hours and weekend support as per the On-call schedule and/or as needed., • Work with internal and external IT auditors to provide necessary audit evidence and documentation (SOX, PCI, CyberSecurity), • Strong collaboration with other infrastructure teams, various application development groups, other members of global technical services, and with business unit representatives to oversee and coordinate new implementations., • Analyze the requirements, provide design and implementation recommendations in accordance with the company’s standards and best practices., • Create and maintain detailed documentation of designs, implementation, and system maintenance relevant to the applications., • Knowledge of scripting languages like Python or Perl and configuration automation tools like Ansible, Puppet, or Chef is a plus. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Warby Parker is seeking a Staff Software Engineer to lead the development of our search, recommendations, and personalization platform. You'll architect and build the systems that help millions of customers discover their perfect eyewear, working at the intersection of large-scale data processing, machine learning, and distributed systems. Reporting to the Senior Director of Engineering, you'll collaborate with Product Managers, Data Scientists, and cross-functional teams to design and deliver high-performance backend services that power product discovery across our retail and e-commerce channels. Your work will directly impact how customers find and engage with our products, requiring both technical excellence and strategic thinking to balance user experience, business objectives, and system scalability. What you'll do: • Be the technical leader of teams designing and developing world-class backend applications that power our business, • Promote the adoption of new technologies that advance and evolve our product, • Tackle challenges of scale though solid engineering practices and creative problem solving, • Ensure your products are resilient and meet well-defined service level agreements with client stakeholders, • Lead code reviews and help maintain high standards of code quality, • Exceed quality expectations through a strong test-minded approach at every step of the SDLC, • You have a degree in Computer Science or related field, or equivalent work experience with 7+ years in professional software development, • Has demonstrated experience building and scaling search, recommendation, and personalization systems in production environments, • An expert in high-level languages such as Golang, Python, or C# with deep understanding of their ecosystems and best practices, • Has a mastery of domain modeling, system design, and data architecture patterns relevant to information retrieval and machine learning systems, • Proficient in cloud technologies (particularly AWS), distributed systems, and service-oriented architectures with focus on high-availability and low-latency services, • Understand the full stack of modern recommendation systems including data pipelines, feature engineering, model serving, and A/B testing frameworks, • Well-versed in agile work processes and comfortable breaking down complex search and ML initiatives to deliver value incrementally, • A clear, concise communicator who can translate technical concepts for cross-functional stakeholders and influence architectural decisions, • Possesses a strong belief in accountability and holds engineering teams to high standards around code quality, testing, observability, and performance, • Demonstrated ability to deliver complex software projects with a high level of autonomy while mentoring others, • Experience with AWS cloud infrastructure, particularly services like OpenSearch/Elasticsearch, SageMaker, Personalize, or Bedrock, • Background in machine learning engineering, including model training, evaluation, and deployment pipelines, • Experience with vector databases and semantic search technologies For applicable postings, the range listed is a good faith estimate of the compensation for this position at the time of posting. Final compensation is thoughtfully determined by a variety of factors, including the candidate's qualifications, experience, internal equity, and relevant market data. For applicable postings, non-exempt employees are eligible for overtime pay if you are required to work more than 40 hours in a workweek. Some benefits of working at Warby Parker for full-time employees: • Health, vision, and dental insurance, • Life and AD&D Insurance, • Paid sick leave1, • Paid Holidays1, • Vacation days per year1, • Retirement savings plan (401(k)), • Parental leave (non-birthing parents included), • Short-term disability, • Employee Stock Purchase Plan, • Employee Assistance Program (EAP), • Bereavement Support, • Optical Education Reimbursement, • Free eyewear, • Employee Assistance Program (EAP), • Employee Stock Purchase Plan, • Free eyewear, • Paid sick leave2 If you are a California resident, please review the additional privacy disclosures available in Section 8 of our Privacy Policy, which provides a summary of how we collect, use, disclose, and share personal information about you and explain your rights under the California Privacy Rights Act ("CPRA"). It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. CO only: The application window for this position is anticipated to close on the apply before date listed. We encourage interested candidates to apply through our Career website. 1 WA only: Full-Time employees' paid sick leave is accrued at a rate of 1 hour per every 26 hours worked. Full-time employees receive 5 paid holidays and 5-10 vacation days per year (after waiting period, depending on tenure and hours worked). 2 WA PT only: Paid sick leave (accrued at a rate of 1 hour per every 30 hours worked). About Us: Warby Parker was founded with a mission: to inspire and impact the world with vision, purpose, and style. We're constantly asking ourselves how we can do more and make a greater impact, and that starts by reimagining everything that a company and industry can be. We want to demonstrate that a business can scale while doing good in the world, without charging a premium for it. And we've learned that it takes creativity, empathy, and innovation to achieve that goal. Since the day we launched in 2010, we've pioneered ideas, designed products, and developed technologies that help people see. We offer everything you need for happier eyes at a price that leaves you with money in your pocket, from designer-quality glasses and contacts to eye exams and vision tests, and you can meet us online, at our stores, or even in your home. Wherever and whenever you need it, we're there to make exceptional vision care simple and accessible. (Delightful, too.) Ultimately, we believe in vision for all, which is why for every pair of glasses or sunglasses we sell, a pair of glasses is distributed to someone in need through our Buy a Pair, Give a Pair program.

DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Alex Millan Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $130,000 - $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations. With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms. They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure. This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling. You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment. Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale. Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows. Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency. Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment. Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities. Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership. Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization. Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks. Proven expertise in AWS and Azure cloud environments. Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates). Skilled in Python, Bash, or PowerShell for automation and deployment scripting. Familiarity with Docker, Kubernetes, and container orchestration in production environments. Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics. Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR). Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert. Experience with MLOps, streaming data, and cloud cost optimization. Background in Agile/Scrum methodologies with tools like Jira or Asana. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Fully remote Senior Software Engineer for one of my best clients that is redefining cybersecurity & the way companies address it // Must have FastAPI, Pydantic & SQLAlchemy! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $100,000 - $140,000 per year A bit about us: Our esteemed organization is seeking a dynamic, passionate, and experienced Permanent Senior Software Engineer to join our innovative Tech Services team. The ideal candidate will have a strong background in Python Development, PostGreSQL, AWS, SME, Peer Reviews, and Team Lead experience. This role is perfect for someone who thrives in a fast-paced, collaborative environment and enjoys leveraging their technical skills to create sophisticated software solutions. With a primary focus on FastAPI, Pydantic, and SQLAlchemy, the Senior Software Engineer will play a critical role in maintaining and improving our technical infrastructure. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Remote first work environment (Fully remote, no physical office exists), • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: 1. Design, develop, and implement high-quality software solutions using FastAPI, Pydantic, and SQLAlchemy., 2. Leverage Python development skills to create, maintain, and improve our software applications., 3. Utilize PostGreSQL to manage and manipulate databases to meet business requirements., 4. Work with AWS to manage cloud-based resources and services., 5. Act as a Subject Matter Expert (SME) on software engineering principles and technologies, providing guidance and support to junior team members., 6. Conduct thorough peer reviews to ensure code quality and consistency., 7. Lead a team of software engineers, fostering a collaborative environment while driving the team towards project goals., 8. Collaborate with cross-functional teams to define, design, and ship new features., 9. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Qualifications: 1. Bachelor’s degree in Computer Science, Software Engineering, or a related field., 2. 5+ years of professional experience in software development, specifically with Python, PostGreSQL, and AWS., 3. Proven experience with FastAPI, Pydantic, and SQLAlchemy., 4. Demonstrated expertise as a Subject Matter Expert (SME) in software development., 5. Extensive experience conducting peer reviews and leading software development teams., 6. Exceptional problem-solving skills with a strong attention to detail., 7. Excellent verbal and written communication skills., 8. Ability to work in a fast-paced, collaborative environment., 9. Strong project management skills with the ability to manage multiple projects simultaneously., 10. Up-to-date with the latest trends and technologies in the industry. In conclusion, if you have a passion for creating innovative software solutions and want to work in a dynamic, fast-paced environment, we would love to hear from you. Apply now and take the next step in your career as a Permanent Senior Software Engineer in the Tech Services industry. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers, • Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs., • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes, • Experience with major cloud providers (AWS, Azure, GCP) About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Builds systems that gather store and process large volumes of data for analysis.Develop ETL pipelines ensure data quality optimize data storage solutions.Python SQL cloud data tools experience (e.Cloud ETL Tools (AWS Glue / ADF).Data Quality & Storage Optimization.Brandon Consulting Associates Inc.E

Description If you are excited about shaping the future of technology and driving significant business impact in financial services we are looking for people just like you. Join our team and help us develop game-changing high-quality solutions. As a Principal Architect at JPMorganChase within Asset and Wealth Management you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies as well as support the adoption of strategic global solutions. As a Generative AI Executive Director you will lead the design and delivery of production-grade LLM systems that power mission-critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. You will collaborate with cross-functional teams to bridge advanced AI research with robust engineering ensuring our solutions are reliable secure and built for real business impact. Job Responsibilities: • Architects scalable APIs and agentic workflows enabling automation and efficiency across the firm, • Architects and delivers production LLM-based systems for text image speech and video applications, • Collaborates closely with ML Engineering Product Management and Cloud Engineering to ensure reliability and security, • Bridges advanced AI research with robust engineering to build innovative scalable production-ready solutions, • Drives results with an entrepreneurial mindset in a fast-paced high-impact environment, • Formal training or certification on software engineering concepts and 7 years applied experience, • Holds a Masters or possesses equivalent experience in Computer Science Mathematics Statistics or a related quantitative discipline, • Experience with cloud platforms (AWS Azure) and containerization (Docker Kubernetes), • Experience with Java Python Java Spring ORM frameworks Agentic AI frameworks (a2a langGraph) messaging frameworks unit and automated testing frameworks (BDD Functional & Performance) and databases, • Demonstrates extensive hands-on experience in software engineering and ML engineering with a proven track record of shipping production systems, • Advanced knowledge of software architecture applications and technical processes with in-depth expertise in one or more technical disciplines (e.g. cloud AI ML distributed systems), • Architects and implements high-throughput low-latency microservices with WebSocket gRPC REST and GraphQL including protocol buffer schema design streaming endpoints and load balancing, • Knowledge of advanced agentic workflows including multi-agent coordination stateful task management and integration with enterprise event-driven architectures, • Agent Guardrails and Evaluation frameworks, • Excellent communication and presentation skills Required Experience: Staff IC Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 204250 - 285000

This is a remote position. We are supporting a large enterprise financial services organization in building out their Enterprise Contact Centre Infrastructure Operations team. Reporting into a team lead or director-level manager this role is focused on AWS operations governance and infrastructure support within an existing production environment. The position sits at the intersection of cloud operations access governance and contact center infrastructure. Employment Type: 6-month contract (extension possible) Work Schedule: Able to work Eastern Time business hours Location: Remote - MUST be physically located in the US (Visa sponsorship is not available) What Youll Do: • Manage and maintain AWS IAM (users roles policies)., • Oversee access control permissions and governance across AWS environments., • Support day-to-day AWS operational activities., • Monitor and maintain cloud environments using tools such as CloudWatch., • Support storage and data operations (e.g. S3)., • Collaborate with internal teams supporting contact center / telephony infrastructure., • Respond to operational requests and ensure system stability and security., • Strong hands-on experience in AWS operations / infrastructure support., • Deep experience with: IAM (users roles policies) access control and permissions management AWS account governance., • Experience with Amazon Connect., • Experience with AWS services such as CloudWatch and S3., • Ability to support production environments and handle day-to-day operational requests., • Exposure to contact center / telephony environments., • Experience with AWS Lambda Python Azure Pipelines. At Talencore we stand against racism and discriminatory practices. We stand against violence. We proudly support and partner with organizations that lift people up so everyone can succeed and thrive and honour our candidates experiences perspectives and unique identity. We are committed to continuing to make diversity equity and inclusion part of everything we do from how we work with our talented candidates to how we support our clients in building their diverse workforce. Required Skills: • Strong hands-on experience in AWS operations / infrastructure (non-development). - Deep understanding of: IAM (identity and access management) access control and governance and account-level AWS administration. - Experience supporting live production AWS environments. - Exposure to contact center / telephony systems. - Experience with Amazon Connect. - Ability to work cross-functionally with infrastructure and operations teams. - Experience in Financial Services environments. - Familiarity with enterprise contact center platforms (e.g. NICE Genesys etc.). - Prior experience in highly regulated environments. Experience: years Vacancy: 1 Monthly Salary Salary: 80 - 110

Our client a Tier 1 global bank is planning for the establishment of a Prime Brokerage business to serve institutional hedge fund clients. The initial focus covers equities ETFs and US Treasuries with a client base of long/short equity equity market neutral and macro funds. The business will have to be built from the ground up within an existing bank infrastructure which means the technology program involves both the deployment of new platforms and the extension of systems already in place. The Solutions Architect hired into this role will work for the client head of the prime brokerage program as one of the senior technical authorities for the program. This person will help to set the architecture for new platforms determine how existing systems need to be modified or extended participate in the vendor selection and integration and ensure that the overall technology design is operationally sound from day one. The role carries real accountability and requires someone who has done this kind of work before in a comparable environment. Responsibilities: Architecture and Platform Design • Support the definition of the target technology architecture for the prime brokerage platform covering order management securities finance margin and collateral management client reporting and risk, • Produce solution design documentation data flow diagrams integration specifications and API contracts, • Help to establish architecture standards and design patterns for use across all technology workstreams within the program, • Drive cloud-native AI-native and API-first design principles across new platform components, • Assess the banks existing infrastructure including OMS clearing custody and risk systems for suitability within a prime brokerage operating model, • Design integration and migration strategies that extend existing platforms where appropriate rather than replacing them unnecessarily, • Identify technical debt and control gaps that would create operational or regulatory exposure in a live PB environment, • Lead the API enablement of legacy systems to support real-time data consumption by new PB components, • Support the evaluation and selection of third-party platforms across the PB technology stack including:, • Securities finance: EquiLend Pirum, • Margin and collateral: CloudMargin Imagine Software Cassini, • Client reporting: Arcesium Enfusion, • Order management and execution: Broadridge ION FIX connectivity, • Data infrastructure: Snowflake Databricks Bloomberg B-PIPE, • Work alongside program management to sequence delivery across parallel workstreams with dependencies, • Lead a mixed team of internal engineers bank architects and external implementation partners, • Provide technical oversight across delivery teams to ensure consistency with the agreed architecture, • Serve as the primary escalation point for technical blockers integration issues and design conflicts, • Communicate architecture decisions and program status clearly to senior business and technology leadership including CTO COO and Head of Prime Brokerage, • Work closely with the Prime Brokerage business team to ensure the technology roadmap reflects commercial priorities and client requirements, • Engage with Risk Compliance and Internal Audit to ensure the architecture satisfies regulatory and control expectations, • Represent the technology program in discussions with prospective clients where architecture credibility is required Qualifications : Domain Knowledge • 10 years in Capital Markets technology with direct experience in Prime Brokerage Securities Finance or Clearing operations, • Solid understanding of how a prime brokerage business operates including margin mechanics under Reg T and portfolio margin securities lending financing client onboarding and reporting, • Hands-on experience with at least two major PB vendor platforms such as EquiLend Broadridge BPS Imagine Software CloudMargin Arcesium Enfusion Murex or Calypso, • Proven experience designing and delivering complex multi-system financial technology platforms at an enterprise scale, • Strong API and integration architecture skills covering REST FIX SWIFT and event-driven messaging patterns such as Kafka, • Cloud platform experience across AWS Azure or GCP with a working knowledge of cloud-native design approaches, • Data architecture capability including real-time and batch pipeline design and data warehouse implementation with Snowflake experience preferred, • Track record of leading architecture across large technology programs with multiple delivery teams and competing priorities, • Ability to communicate technical decisions clearly and convincingly to senior business and technology executives, • Experience navigating the governance processes of a large financial institution including architecture review boards risk committees and audit engagement, • Prior experience at a major prime broker in a technology architecture or senior engineering capacity, • Involvement in a prime brokerage launch significant expansion or platform overhaul program, • Exposure to the operational side of prime brokerage such as margin management securities lending or client service, • Familiarity with portfolio margin stress-testing methodology and the systems that support it, • Experience implementing AI or machine learning capabilities in a Capital Markets context, • Understanding of how hedge fund clients interact with their prime brokers operationally including OMS connectivity reporting expectations and margin call workflows Additional Information : Discover some of the global benefits that empower our people to become the best version of themselves: • Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;, • Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;, • Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;, • Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;, • Health: Global internal wellbeing programme access to wellbeing apps;, • Participation in both internal meetings and external meetings via video calls as necessary., • Ability to go into corporate or client offices to work onsite as necessary., • Prolonged periods of remaining stationary at a desk and working on a computer as necessary., • Ability to bend kneel crouch and reach overhead as necessary., • Hand-eye coordination necessary to operate computers and various pieces of office equipment as necessary., • Vision abilities including close vision toleration of fluorescent lighting and adjusting focus as necessary., • For positions that require business travel and/or event attendance ability to lift 25 lbs as necessary. USA Benefits (Full time roles only does not apply to contractor positions) • Robust healthcare and benefits including Medical Dental vision Disability coverage and various other benefit options, • Flexible Spending Accounts (Medical Transit and Dependent Care), • Employer Paid Life Insurance and AD&D Coverages, • Health Savings account paired with our low-cost High Deductible Medical Plan Remote Work : No Employment Type : Full-time Experience: years Vacancy: 1

Drive continuous improvement of engineering processes tools and infrastructure as code. Collaborate with other DevOps Engineers on design support task sharing and problem solving. DevOps / SRE Engineering experience with implementing and supporting core AWS services: EC2 Cloud Formation S3 Cloud Wat

Job Title: Client Success Principal AI & Analytics Transformation (Life Sciences) Location: New York City NY (Hybrid Client-facing with travel across East Coast life sciences hubs Multiple locations possible though based on client demand including New York City New Jersey Boston and Maryland Industry: AI Consulting / Healthcare & Life Sciences Overview: A global AI and analytics consulting organisation is looking to appoint a Client Success Principal to lead strategic client partnerships and enterprise AI transformation programmes within the Life Sciences sector. The organisation is an AI-first company with more than two decades of experience applying advanced analytics and artificial intelligence to enterprise decision-making across global industries. It works with major Fortune 500 organisations and global pharmaceutical companies to deploy production-grade AI solutions at scale. This role will sit at the centre of senior client relationships owning large pharmaceutical accounts while delivering complex AI and analytics programmes across commercial R&D supply chain and enterprise transformation initiatives. The position is highly client-facing and requires regular onsite engagement with senior stakeholders across the U.S. East Coast life sciences corridor. Compensation: Base salary: USD 25% performance-based variable bonus on top of base salary Comprehensive benefits package including health dental vision life insurance and disability coverage 401(k) retirement plan eligibility after 30 days Flexible PTO policy and paid company holidays Parental leave benefits Key Responsibilities: Client Leadership & Strategic Account Ownership Own and grow major pharmaceutical client accounts within complex enterprise environments Serve as the primary senior client contact and trusted advisor to executive stakeholders Develop strategic account plans aligned with client transformation priorities Lead executive governance structures including quarterly business reviews and programme steering committees Revenue Growth & Commercial Expansion: Drive growth across large life sciences accounts expanding multi-million-dollar consulting relationships Identify and convert new AI and analytics opportunities within existing client engagements Lead proposals presentations and commercial discussions for new programmes Align AI and analytics capabilities with measurable business outcomes for pharmaceutical clients AI Transformation Programme Delivery: Lead enterprise AI and analytics transformation programmes across multiple workstreams Oversee initiatives such as Commercial analytics transformation Next-best-action and decision intelligence platforms Omnichannel analytics and customer engagement models Patient services and healthcare data platforms AI-enabled field force optimisation tools Partner with cross-functional teams including data science AI engineering cloud engineering and analytics delivery teams Ensure programme stability delivery quality and strong client satisfaction Executive Stakeholder Engagement: Engage senior client decision makers including CIOs SVPs VPs and enterprise leaders Navigate complex stakeholder environments across multiple business functions Lead strategic discussions around AI adoption enterprise transformation and analytics strategy Practice & Team Leadership: Lead and influence cross-functional teams in a matrix delivery environment Provide coaching and direction to programme teams and delivery leadership Contribute to the growth and maturity of the healthcare and life sciences practice Support a culture of ownership accountability and high-performance consulting delivery Candidate Profile: 15 years of experience within the Life Sciences Pharmaceutical or Healthcare industry 10 years of consulting experience in analytics AI transformation or strategy consulting 10 years delivering AI analytics or enterprise data transformation programmes Strong track record managing strategic Fortune 500 life sciences accounts Proven experience driving large consulting engagements and revenue growth ($10M programmes) Experience engaging executive stakeholders including CIO SVP and C-suite leaders Strong understanding of enterprise AI ecosystems and cloud platforms (AWS Azure or GCP) Excellent executive communication and stakeholder management skills Comfortable operating in fast-moving enterprise consulting environments Eligibility Requirements: U.S. Citizen or Green Card holder Nice to Have: Experience with GenAI or advanced analytics solutions within pharmaceutical environments Background from leading consulting firms such as McKinsey Bain BCG or specialist analytics consultancies Experience managing globally distributed delivery teams Exposure to modern cloud data platforms and AI engineering ecosystems Interview Process: Initial screening conversation Senior leadership interview Practice leadership discussion Final executive interview Equal Opportunity Employer: We value diversity and are committed to creating an inclusive workplace. Applicants from all backgrounds are encouraged to apply. Contact: Elvis Eckardt Required Experience: Staff IC Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 200 - 280

Experience working with a cloud provider (AWS/Azure/GCE) or sysadmin/SRE experience in data centers. Apply modern engineering practices to improve the maintainability reliability and utility of Palantirs internal compute infrastructure.