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Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: As a Staff Software Engineer, you'll shape the backbone of our GPU-driven data centers—powering some of the most advanced workloads in AI and large-scale computing. This isn't just about keeping the lights on; it's about architecting the next generation of reliable, secure, and massively scalable infrastructure. The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components—including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms. • Provide technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability., • Build and enhance infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies., • Drive strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient., • Define best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration—while mentoring engineers to follow your lead., • Partner with hardware, software, and operations teams to align infrastructure with business impact., • Contribute to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership., • Lead and improve CI/CD pipelines for hardware compliance, firmware management, and data systems., • Champion reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.Who You Are:, • B.S., M.S., or PhD in Computer Science or related field, or equivalent experience., • 8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments., • Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms., • Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services., • Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams., • Experience contributing to and collaborating with open source communities., • Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement., • Excellent communicator able to work effectively with both technical and non-technical stakeholders., • Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers., • Working knowledge of Kafka, ClickHouse and CRDB., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Staff Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Design and own foundational research and models that power our recommendations ecosystem., • Identify the next step change in our technical capabilities, conduct state-of-the-art applied research, and move them into production using best practices in machine learning engineering., • Design and implement solutions that prioritize availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with Directors and VP+ to understand and shape Hinge’s strategic direction, as well as work with other Machine Learning Engineers, Product Managers, Data Engineers, and Scientists to make that a reality., • Coach, mentor, and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++ and a deep understanding of low-level deep learning computation fundamentals., • System design & architecture: Proven track record of research, training, and deployment of DNNs at scale. Deep understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of various DNN architectures, track record of building, debugging, and fine-tuning models., • DevOps skills: Track record of deploying, managing, and orchestrating offline and online deep learning models at scale., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Proven ability to influence company strategy and direction is a plus., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 8+ years of experience, depending on education, as an MLE., • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes., • 4+ years of experience in designing and developing online and production grade ML systems., • 3+ years of experience leading projects with at least 2 other team members through completion. #Hinge

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role We are looking for intellectually curious, highly motivated individuals to be foundational members of our Discovery Feed & Personalization team. You will partner across the company to lead our Exploration efforts to help new sellers and small categories grow and thrive. We are looking for a backend engineer with a track record of shipping product features at scale. You should excel at making the right tradeoffs between building it fast and building it right. You should have experience leading and delivering on cross-functional projects, supporting multiple other engineers. What you'll do: * Ship product features to deliver high-quality Discovery experiences for users * Build and maintain a scalable, stable, low latency feed experience * Build the services and infrastructure to enable efficient exploration systems to help small sellers and new categories grow * Lead a workstream of multiple other software engineers as the individual responsible for success * Partner closely across the machine learning, platform, and product engineering teams to utilize models to solve discovery problems * Contribute scalable solutions across various serving stacks at the feed, search, machine learning service, and Discovery application layers. * Define and advance our technical approach to scalable recommendation systems. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York City, San Francisco, Seattle or Los Angeles hub. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next Software Engineer you should have 5+ years of experience, plus: * Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience. * Industry experience with a track record of applying practical methods to solve real-world problems on consumer scale data. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. You can mentor others and prioritize building inclusive, supportive teams. * Experience in discovery-related fields (e.g. Recommendations, Content Understanding, Search, etc.). * Expert at designing and building scalable and maintainable backend systems. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Kafka, Flink/Spark. 🎁 Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance on both food and wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $195K - $230K

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description Senior Staff Software Engineer — Real-Time Distributed Systems (C#, .NET, gRPC) 2Bridge Partners has been engaged in the search for a direct-hire Senior Staff Software Engineer with a strong background building real-time, message-based B2B or trading applications in C#, .NET, and gRPC. Our client is an established technology firm developing high-throughput, multi-tenant platforms used by institutional customers. The engineering environment is centered around real-time data distribution, low-latency messaging, high concurrency, and event-driven architectures. This role is ideal for engineers who want to influence platform design while remaining hands-on with complex distributed systems. Compensation: $200K–$300K base plus a significant discretionary performance-based bonus. What You’ll Do: • Architect, design, and deliver components of a highly scalable, distributed, real-time computing platform., • Build and refine low-latency, message-driven services using gRPC and modern .NET., • Develop reusable patterns, shared libraries, and framework-level abstractions., • Lead performance tuning across messaging, compute, network, and storage layers., • Own critical platform services supporting high-volume API and UI workloads., • Collaborate with engineering leadership to shape architectural direction. Required Experience: • 10–15+ years of professional experience with extensive work in C# and .NET., • Strong experience with gRPC and cloud-based service architectures., • Expertise with distributed messaging and event-streaming technologies including Kafka, RabbitMQ, and Redis., • Strong understanding of backend fundamentals including high-volume message processing, interprocess communication patterns, and database performance., • Experience building multi-tenant, event-driven B2B systems requiring millisecond-level updates., • Experience building frameworks or shared service layers., • Strong interest in clean architecture and high engineering standards. Non-Technical Requirements: • Strong analytical and architectural reasoning., • High ownership mindset with strong follow-through and initiative., • Ability to work independently and collaborate effectively., • Strong communication skills. Education: • Bachelor’s degree or higher in Computer Science, Engineering, or related technical discipline preferred. Nice to Have: • NYC metro candidates preferred for hybrid collaboration (flexible for exceptional candidates). Benefits: • Medical, Dental, and Vision coverage, • Retirement plan (401k or IRA), • Paid vacation, sick time, and holidays, • Life insurance options, • Short- and long-term disability coverage

Job DescriptionSalary: ElPreventa Tcnico Senior es responsable de liderar el diseo, dimensionamiento y presentacin de soluciones tecnolgicas complejas, alineando las necesidades de los clientes con las capacidades tcnicas de la organizacin. Su funcin combina visin tcnica, habilidades comerciales y capacidad de comunicacin ejecutiva, apoyando a los equipos de ventas y delivery en la elaboracin de propuestas de alto impacto orientadas a transformacin digital, nube, modernizacin de aplicaciones y seguridad. Responsabilidades Principales 1. Consultora y Diseo de Soluciones • Levantar requerimientos tcnicos y funcionales con clientes y stakeholders., • Disear arquitecturas de referencia sobre Microsoft Azure y AWS, aplicando principios de cloud-native, DevOps, y microservicios., • Elaborar documentos de diseo tcnico, diagramas de arquitectura, y roadmaps de migracin o modernizacin., • Recomendar frameworks, lenguajes, patrones de diseo y metodologas de desarrollo acordes al contexto del cliente. 2. Apoyo a Ventas y Propuestas • Preparar presentaciones tcnicas, demos, y sesiones de discovery junto al equipo comercial., • Desarrollar propuestas tcnico-econmicas que detallen alcance, beneficios, riesgos, costos y SLA., • Participar en RFPs, RFIs y workshops con reas de tecnologa, seguridad y negocio del cliente., • Identificar oportunidades de cross-selling y up-selling de servicios cloud, desarrollo y soporte. 3. Buenas Prcticas y Gobierno Tcnico • Promover estndares de arquitectura segura, observabilidad, CI/CD y automatizacin., • Aplicar buenas prcticas de ingeniera de software (SOLID, Clean Architecture, IaC, API-first)., • Alinear las soluciones con las polticas de ciberseguridad, cumplimiento y privacidad (ISO 27001, GDPR, Ley 155-17, etc.)., • Participar en revisiones de cdigo, diseo y calidad tcnica durante fases de preventa o PoC. 4. Innovacin y Capacitacin • Mantenerse actualizado en tendencias de IA, automatizacin, contenedores, serverless, y seguridad cloud., • Contribuir con contenido tcnico interno: playbooks, whitepapers y kits de propuesta., • Mentorizar a ingenieros y consultores junior del rea comercial y tcnica. Requisitos del Cargo Formacin Acadmica: • Ingeniero en Sistemas, Ciencias de la Computacin, Electrnica o reas afines., • Deseable Maestra o especializacin en Arquitectura de Software, Cloud Computing o Ciberseguridad. Experiencia: • Mnimo 5 a 8 aos de experiencia en desarrollo y arquitectura de software., • Al menos 3 aos de experiencia comprobada en preventa tcnica o consultora de soluciones cloud., • Experiencia en presentaciones tcnicas y workshops con clientes empresariales. Conocimientos Tcnicos Avanzados: • Cloud Platforms: Microsoft Azure (App Services, AKS, Functions, DevOps, AD/Entra ID, Key Vault, Monitor) y AWS (ECS, Lambda, RDS, S3, IAM, CloudFormation)., • Ingeniera de Software: .NET, Node.js, Python, CI/CD, API Management, patrones de integracin., • Seguridad y Cumplimiento: Azure Security Center, Defender for Cloud, AWS Security Hub, MFA, IAM, RBAC, DLP, Compliance., • Office 365 / Microsoft 365: Integraciones con Azure AD, Exchange Online, SharePoint, Power Platform., • Metodologas giles: Scrum, Kanban, DevOps, SAFE, con dominio de herramientas como Azure DevOps, Jira o GitHub Enterprise., • Infraestructura como Cdigo: Terraform, ARM/Bicep, CloudFormation, Ansible., • Conocimientos Deseables: Arquitectura Zero Trust, FinOps, automatizacin con IA (OpenAI, Cognitive Services). Competencias Clave • Comunicacin efectiva con pblicos tcnicos y no tcnicos., • Orientacin a resultados y pensamiento analtico., • Alta capacidad de documentacin tcnica y storytelling comercial., • Liderazgo colaborativo y autogestin., • Capacidad para trabajar bajo presin en contextos de RFP o cierres comerciales. Certificaciones Valoradas • Microsoft Certified: Azure Solutions Architect Expert / Azure DevOps Expert., • AWS Certified Solutions Architect Professional o Associate., • Certified Scrum Master (CSM) o SAFe Agilist., • Microsoft 365 Certified: Security Administrator o Enterprise Administrator Expert., • ISO 27001 Lead Implementer / CompTIA Security+.

Job Description Continua has launched an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. Funded by Google and Bessemer Venture Partners, Continua is developing the future of socially-intelligent AI. We've seen rapid growth over the last quarter, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level. This is a hybrid position in New York, NY. We are onsite 3+ days per week. What you’ll do: * Design, build, and scale backend services and APIs using Python (and preferably Go) to power our AI agent platform. * Partner with ML engineers to integrate large language models (LLMs) into production systems. * Own feature development from ideation to launch: gather requirements, implement, test, and iterate. * Improve system reliability and scalability by enhancing testing, removing performance bottlenecks, and refining infrastructure. * Collaborate closely across disciplines, including with our CEO, product manager, and designer, to translate product goals into technical solutions. * Participate in on-call rotations and production maintenance to ensure a great user experience. Who you are: You are a Systems Software Engineer with a strong grasp of both backend and frontend systems. You balance technical depth with product intuition, building reliable, user-focused applications that scale. You’re comfortable moving quickly in a startup environment, collaborating across disciplines, and owning features from concept through deployment. You thrive in ambiguity, enjoy working with emerging AI technologies, and are based in New York City for a hybrid schedule. * 7+ years of infra / backend engineering experience. * Good understanding of database technologies, like SQL, Postgres, etc. * Strong intuition for product balancing user needs with technical constraints. * Comfortable working across the stack, from frontend to backend systems and data pipelines. * Familiarity with cloud architecture and deploying to cloud, particularly Google Cloud Platform (GCP) or Terraform * Able to work independently and handle ambiguity in a fast-paced startup environment. * Excited about the opportunity to tackle impossible problems. Bonus points if you have: * Experience integrating or deploying AI/ML models into user-facing products. * Background in real-time or conversational applications. * Prior experience in high-growth startups or developing products from 0 to 1. A little about us: Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people. Compensation & Benefits: We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history! To apply: To apply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.” We welcome referrals! If you know someone exceptional for this role, please email us at .

Job DescriptionCompany Description About KIPP NYC: Founded in 1995, KIPP NYC Public Schools is a non-profit network of 18 free, public charter schools located in the Bronx, Brooklyn, and Manhattan. We partner with families and communities to create joyful, academically excellent schools where every child grows up free to create the future they want for themselves and their communities. From our first middle school, KIPP Academy in the Bronx, to today’s network of eight elementary schools, nine middle schools, and one high school, KIPP NYC provides students with engaging academics, arts, athletics, and social–emotional learning that prepare them for college, career, and beyond. Our commitment doesn’t end at graduation. Through KIPP Forward, we continue to support our alumni as they navigate college, career, and life, helping them define success on their own terms and pursue the paths that align with their goals and sense of purpose. Together, we serve more than 9,400 students, support 4,700 alumni, and employ over 1,100 dedicated team members who bring passion, expertise, and commitment to our mission every day. Job Description Position Overview The KIPP NYC Managing Director, Technology (MD, Tech) is an essential role on the Technology team, responsible for the vision and strategy for all KIPP NYC technology systems, services, and infrastructure. The MD, Tech will lead the Technology team in exceptional execution and innovative sustainability solutions to support our schools and staff as they provide our students and families with best-in-class education. The MD, Tech will ensure that technology across KIPP NYC is secure, forward-thinking, and deeply aligned with our mission to provide joyful, academically excellent schools. The MD, Tech will lead a robust team of 20 technology professionals, including a leadership team of Directors across Infrastructure, Client Services & Support, Applications & Data, and IT Business Operations. The MD, Tech will also serve as a key strategic partner to school leaders to enhance teaching and learning with cutting-edge and effective technology, as well as with our regional leadership to amplify operational excellence for the entire organization. The ideal candidate for this role is a mission-driven, systems-oriented leader who excels at building resilient and dynamic teams, designing solid structures, and leading organizational change, with a belief that technology can empower students and educators in every classroom. The Managing Director, Technology (MD, Tech) will report directly to the Chief Operations & Information Officer and will serve as a senior leader of the KIPP NYC Regional Support & Technology Team. This is a full-time role that follows a hybrid work schedule, requiring a minimum of three days per week in person based out of our KIPP NYC Midtown Manhattan office. Regular school and regional-site visits are required based on operational needs. Duties and Responsibilities: General responsibilities include (but are not limited to): Regional Leadership & Team Management • Leads the KIPP NYC Technology team by building a mission-aligned culture rooted in collaboration, equity, and continuous improvement with transparent and authentic performance enablement, including clear goal-setting and regular feedback, • Develops and mentors a high-performing team of technology professionals to support KIPP NYC’s deep commitment to joyful, student-centered schools., • With the Tech leadership team, oversees all daily technical operations, maintaining high-quality service delivery, operational efficiency, and clear workflows., • Leads regional strategy for all network programming and shared services, advising senior leaders on technology performance, risks, opportunities, and strategic direction- including regional technology policies, internal controls, user guidelines, and security protocols., • Manages and oversees strong data security, privacy protections, disaster recovery readiness, and business continuity across all systems., • Leads the evaluation, selection, and implementation of all KIPP NYC technology, including core technology infrastructure - networks, telecom, servers, cloud environments., • Assess and optimize hardware, software, and applications to enhance instructional, operational, and administrative reliability and scalability., • Manages the technology budget, ensuring responsible spending, strategic investment, and long-term sustainability in alignment with approved budgets, • Oversees procurement, contracting, vendor relationships, and compliance for all technology services and systems; represents KIPP NYC with external stakeholders, community partners, vendors, and agencies as needed., • In collaboration with school and regional leaders, gathers feedback to assess technology needs to drive improvements in systems and services, incorporating emerging technologies, cybersecurity advancements to drive strategic decision-making.Qualifications, • Bachelor’s degree in Computer Science, Information Systems, Information Technology, Engineering, or a related field. Master’s Degree a plus, • Minimum 10 years of progressive experience in technology leadership, with responsibility for enterprise-wide systems, infrastructure, operations in a complex, multi-site technology environment. Minimum 5 years of team management, • Relevant certifications such as ITIL, CISSP, PMP, cloud certifications, Google Educator, or ISTE. (preferred), • Proven success in leading and developing high-performing, multi-functional teams, including coaching managers and senior leaders, • Strong background in enterprise infrastructure, cloud environments, networks, cybersecurity, and end-user computing, • Experience designing and executing technology strategy aligned to organizational goals and long-term sustainability to build scalable systems and lead organizational change, • Experience overseeing technology budgets, vendor relationships, procurement, and contract management, • Strategic and forward-thinking project management skills with a meticulous attention to detail with the ability to manage competing priorities in a fast-paced environment., • Excellent communication skills, with the ability to translate technical concepts for diverse, non-technical audiences, • Ability to exercise discretion and judgment with the handling of highly sensitive and confidential information, • Demonstrated passion for and a commitment to the KIPP NYC mission for high-quality public education and social justice for all Additional Information Compensation & Benefits: KIPP NYC offers a competitive salary ranging from $165,000 to $195,000 per year. Salary ranges at KIPP NYC are standardized based on role level and role function. Individual salaries are determined through a lens of equity, accounting for years of experience relevant to the role and scope of responsibilities, and are benchmarked against others within the same salary band. Starting salaries typically fall in the lower half of the salary range, however they are ultimately determined by scope of the position, the candidate's relevant experience, and internal equity. KIPP NYC offers a generous benefits package including, but not limited to, the following: • Robust benefits that include medical, dental, and vision., • 403(b) retirement plan with 50% match after 6 months., • Generous Time-Off aligned with school calendar, • Up to 12 weeks 100% parental leave., • Bright Horizon Back-up Child and Elder care., • Employer paid Life Insurance and Short term/Long term disability. This is a full-time, in-person role based in New York City and will require travel to our schools. If you are not in a school-based position, the cadence and frequency of travel to schools is determined by your leadership team. If you relocate outside of a commutable distance or out of the state of NY, your employment will be subject to review, which may include separation from KIPP NYC. It is important that you notify HR if you move or have plans to relocate. KIPP NYC LLC does not offer visa sponsorship or work authorization. KIPP NYC LLC is committed to creating a welcoming environment that includes employees with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving students and families throughout New York City. KIPP NYC LLC is an Equal Opportunity Employer. KIPP NYC LLC is committed to the principles of equal employment opportunity for all employees and applicants for employment.

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation.Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication.Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). Schmidt Sciences has multiple programs related to the AI Institute, such as the Virtual Institute for Scientific Software (VISS), which seeks to accelerate the pace of scientific discovery through the support and development of high-quality, community-oriented scientific software. These philanthropic efforts support experienced engineers who are tasked with building open-source infrastructure and applications for multi-disciplinary, high-performance, at-scale scientific discovery. The Role Reporting to the Compute Program Scientist in the AI Institute, the Software Engineer will provide technical leadership and apply application development expertise across AI Institute and Schmidt Sciences multidisciplinary efforts. The initial set of projects will focus on cutting-edge developments in AI. A successful candidate should have a work portfolio that reflects specific contributions to production-grade software products. Success for this role is defined by the quality of software components produced, and the impact of the programming contributions on the overall success of each project. This role requires up to 30% domestic travel. Example activities for this role:● Implementing recently published algorithms or novel data-processing techniques within an existing application.● Troubleshooting and evaluating complex software packages for numerical accuracy, finding regressions after refactoring, or adopting existing software libraries for new hardware platforms.● Instrumenting research software for performance optimization and analysis, especially for large-scale, distributed workflows.● Using a combination of open source packages and proprietary APIs to construct scalable AI services using hybrid on-prem and cloud-based resources. Key Responsibilities for this role include the following:Primary Technical Development • Select the optimal tools and algorithms to implement solution components that enable new scientific capabilities or mitigate gaps and address test findings., • Own cognizant responsibility for the software architecture of multiple codebases using different programming languages., • Analyze and assess model resource requirements, review operational plans (e.g., virtualization, cloud, etc.), and evaluate other technical opportunities.Additional Schmidt Sciences Support, • Assist existing programs by providing software development expertise and mentorship, while working closely and collaboratively with multiple subject matter expert teams., • Work with other members of the Schmidt Sciences technical team to implement new software features and capabilities in support of diverse research activities., • Maintain awareness and track industry trends for tools and frameworks that address data management, analysis, visualization, monitoring, and security of research applications., • Participate in relevant industry events and forums, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • A Bachelor’s degree from an accredited institution, with a focus on Computer Science, Mathematics, or a related field., • 5+ years of professional experience developing high-quality software applications., • Proficiency with software engineering tools and best practices., • Proficiency with modern machine-learning software frameworks, such as JAX, PyTorch, TensorFlow, etc., • Exposure to CPU/GPU/TPU acceleration techniques with popular SDKs (e.g., OpenCL, CUDA, ROCm, Cloud TPU)., • Prior work with containerized Linux workloads, including GPU-accelerated configurations., • Basic knowledge of computer networking and distributed computing., • Ability to design, train, deploy, or maintain state-of-the-art AI models at a production scale., • Experience producing technical writing for expert and general audiences., • Good track record of collaborative impact in high-intensity, team-based environments., • Sense of controlled urgency in driving work to completion., • The highest integrity and ability to maintain confidentiality., • Be able to travel within the U.S. and internationally on a regular basis as needed.Preferred Knowledge, Skills, and Abilities, • Expert-level experience and industry credentials in the software and hardware frameworks that drive modern AI, and competence in at least one, and preferably multiple, fields of science impacted by modern AI., • Exposure to multiple steps in the software design lifecycle, such as evaluating the scalability, data requirements, compute needs, and selecting infrastructure components., • Expertise in relevant technical focus areas, e.g., AI model optimization and hardware accelerated frameworks., • Ability to work with and effectively translate technical concepts across multiple scientific disciplines., • Ability to critically evaluate scientific and technical publications and emerging methods in related disciplines.

This senior position requires excellent leadership and delivery management skills, along with extensive experience in Oracle Cloud programs. A leading tech firm is seeking a skilled Oracle Cloud Program Director to oversee projects within the K-12 public sector.

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