Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company s portfolio includes many of the world s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Cond Nast Traveler/Traveller, Allure, AD, Bon App tit and Wired, among others. Job Description Location:Bengaluru, KA Cond Nast is a global media company, home to iconic brands including Vogue, The New Yorker, GQ, Glamour, AD, Vanity Fair and Wired, among many others. The companys award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month. The company is headquartered in London and New York, and operates in 32 markets worldwide, in cluding China, France, Germany, India, Italy, Japan, Mexico Latin America, Russia, Spain, Taiwan, the U.K. and the U.S., with local license partners across the globe. Job location: Bangalore About the Role: As the Director of Engineering, you will be responsible for leading and overseeing all aspects of the engineering workforce in the organization. This role involves strategic planning, team management, project execution, collaboration with cross-functional teams in order to deliver the outcomes to achieve the companys key objectives. The Director of Engineering plays a critical role in driving innovation, product development, and maintaining the technical excellence of the company. This role is reporting to the Vice President of Engineering. About You: 15+ years of experience in software engineering building software products, with at least 5 years in people management Must have the right combination of technology experience and people management Must have ability to collaborate effectively across cross-functional teams such as the Product Management, Program management, UX and Analytics teams Must have excellent communication skills - both written and verbal, and ability to communicate effectively with both technical and non-technical individuals. Experience in working with peers, stakeholders and partners across different geographies and time zones Ability to translate highly complex technical requirements into easily digestible and actionable plans Experience preparing delivering executive level presentations to business and technology audiences Ability to lead and manage technical individual contributors across all levels with the ability to foster open communications across the organisation Ability to motivate direct and indirect reports to deliver superior results. Ability to provide functional and directional guidance to engineers and recommend policy or strategic direction changes to management. Experience in leading development projects using agile methodologies Experience with Cloud native and MERN stack would be essential Experience in the Commerce domain will be a plus. Key Responsibilities: Develop and execute the long-term vision, goals, and strategies aligned with the companys overall mission. Lead technical discussions, be a subject matter expert, and have strategic influence on decision-making Oversee project planning, execution, and delivery, ensuring projects are completed on time and within budget. Establish project priorities, allocate resources, and track progress to meet milestones and deadlines. Build and nurture high performing teams Ensure the adoption of best practices, quality standards, and maintain technical excellence in product development. Provide technical guidance and expertise to solve complex problems and address challenges as they arise. Collaborate with product management, design, and other departments to prioritise, align engineering efforts with an eye on business objectives. Facilitate effective communication and coordination across cross-functional teams. Implement and maintain rigorous quality assurance processes to ensure product reliability and performance. Stay current with industry trends, emerging technologies, and best practices to guide technology choices and investments. Identify and mitigate technical and project risks that may impact product development or company goals. Establish key performance indicators (KPIs) to measure and report on the performance and progress Our tech Languages and Frameworks: Javascript, Node.JS, React (and React eco-system) APIs: GraphQL Data: Postgres, MongoDB, Elasticsearch Deployment: Docker, AWS, Kubernetes Source Control: Git, GitHub What happens next If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company s portfolio includes many of the world s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Cond Nast Traveler/Traveller, Allure, AD, Bon App tit and Wired, among others. Job Description Location:Bengaluru, KA About Company: Cond Nast has a huge global footprint in 32 countries, with total monthly visitors reaching more than 550 million. We aim to inspire, inform, and entertain our audiences through our portfolio of well-known brands, such as Vogue, Wired, Vanity Fair, Architectural Digest, GQ, and many others. The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus will include video and streaming platforms, increasing subscriptions and memberships, growing our events business, and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Migrating and consolidating to a more centralized set of technologies and capabilities that any brand or product experience can easily leverage is also a top business priority. Engineering is responsible for scaling, building, and deploying websites that serve over 500 million users globally. The global engineering team includes product engineering, platform engineering, and core engineering. About Platform Engineering: Our mission is to build modern media platforms to serve our omnichannel experiences for our portfolio of global brands such as Vogue, Wired, Vanity Fair, and Glamour which currently reaches over 500 million, monthly users. We need your help to create new capabilities and strengthen our existing ones so that our brands can reach wider audiences through engaging digital experiences. Quality, performance, experimentation, and speed of delivery are all principles at the heart of what we do as a Platform Engineering group. We have strong capabilities in areas such as editorial tooling, content delivery, design systems, advertising, and commerce that we will continue to improve and grow. Our vision is to additionally invest in areas such as video, subscriptions, membership, and next-generation editorial tools. You will be working alongside international colleagues across the US, London, and India. We strongly emphasize cross-functional working by partnering directly with Product, Data, Design, UX, and Delivery. About The Role: We are looking for a highly skilled and motivated Senior Software Engineer (SE-3) to join our team responsible for developing and optimizing high-traffic APIs and backend services. The ideal candidate will bring deep expertise in designing and implementing scalable, reliable, and secure REST and GraphQL APIs. This role requires a self-starter with strong problem-solving skills, the ability to mentor junior engineers, and the drive to make a significant impact on our platform s architecture and performance. Responsibilities: API Development Optimization: Design, implement, and optimize REST and GraphQL APIs to handle large-scale traffic reliably and efficiently. Database Management: Manage and enhance database systems using MongoDB and ElasticSearch/OpenSearch, ensuring data integrity, optimized query performance, and scalability. Backend Development: Utilize Node.js for backend services, writing clean, maintainable, and well-documented code. Knowledge of Java Spring Boot is a plus. Event-Driven Architecture: Experience with Kafka for event-streaming architectures is beneficial, enhancing our system s real-time capabilities. Testing Quality Assurance: Develop unit and integration tests to maintain high code quality and ensure feature reliability. Participate in code reviews and enforce coding best practices. CI/CD Pipeline Management: Manage and optimize CI/CD pipelines to support rapid, reliable deployments. Mentorship Collaboration: Mentor junior developers, provide code reviews, and share best practices. Foster collaborative team culture and work closely with cross-functional teams (Product, QA, Operations). Architecture Scalability: Contribute to architectural discussions and decisions to enhance the scalability, reliability, and maintainability of our systems. Our tech: Languages and Frameworks: JavaScript, Node, React, Ember Data: Mongo, Postgres, ElasticSearch, Redis, Kafka Deployment: Docker, AWS, Terraform, Kubernetes, GitHub Actions Datadog, Splunk - for observing our platform APIs: GraphQL, Apollo Federation, AWS AppSync Source Control: Git, GitHub What happens next If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company s portfolio includes many of the world s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Cond Nast Traveler/Traveller, Allure, AD, Bon App tit and Wired, among others. Job Description Location:Bengaluru, KA Job Summary: Cond Nast is seeking an experienced and highly motivated ML Engineer who will support productionizing projects in a Databricks or Sagemaker environment for the data science team. We expect the person to be a software/data engineer experienced in building deploying big data pipelines in production, study and transforming data science prototypes into an engineering framework and is knowledgeable about machine learning models. **This role focuses on deploying and optimizing ML models rather than building the Machine Learning models ** Primary Responsibilities Build and optimize big data pipelines to deploy ML models into production environments Keep abreast of developments in the field Proactively identify and resolve challenges in ML pipeline engineering Design and code highly scalable, machine learning frameworks processing large volumes of data Engineer a near-real-time system that can process massive amounts of data Collaborate with other Machine Learning Engineers and Data Scientists in architecting engineering the solution Follow agile processes with a focus on delivering production-ready testable code continuously in small iterations Participate in the entire development lifecycle, from concept to release Implement and maintain CI/CD pipelines to ensure seamless integration, testing, and deployment of machine learning models and big data workflows Participate in all phases of quality assurance and defect resolution Desired Skills Qualifications 4+ years software development experience with highly scalable systems involving machine learning and big data Strong proficiency in Python , with expertise in libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, and PySpark Understanding of data structures, data modeling and software architecture Strong software development skills with proficiency in Scala/Pyspark/Java Strong understanding of system design principles and API development Experience with Big Data technologies: Hadoop, Spark, Kafka, AWS/EMR, Hive Experience in using Airflow, Astronomer, MLFlow, Kubeflow framework Experience in delivering microservices using docker/kubernetes Experience in serving models as a restful API service Experience designing and managing CI/CD pipelines for ML model deployment Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills Applicants should have a Undergraduate/Postgraduate degree in Computer Science or a related discipline What happens next If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company s portfolio includes many of the world s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Cond Nast Traveler/Traveller, Allure, AD, Bon App tit and Wired, among others. Job Description Location:Chennai, TN About the Company: Cond Nast is a premier media company renowned for producing the highest quality content for the worlds most influential audiences, attracting over 100 million consumers across its industry-leading print, digital, and video brands. Cond Nast is home to many of the worlds most celebrated magazine and website brands. The companys reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Cond Nast. Our mission is not only to inform readers but to ignite and nourish their passions About the Rol e: As a member of the Data Science and Machine Learning Engineering (DS/MLE) team, you will be the technical expert for a team that builds models for initiatives such as image recognition, recommender systems, NLP, segmentation, and user behaviours. Responsibilities: Responsibilities include, but are not limited to: Participate in model design, testing, and execution Work closely with data engineers and machine learning engineers to deliver products and analyses Develop advanced machine learning algorithms and proof of concepts Experiment and Innovate in applications of machine learning to Conde Nast s Business problems Provide technical expertise to junior team members Minimum Qualifications: Applicants should have a degree (B.S. or higher) in technical discipline or relevant professional experience 4-7 years of machine learning experience in industry or academia Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.), Computer Vision strongly preferred Experience in statistical analysis and experiment design Software development skills with proficiency in Python Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn Strong communication skills including to non-technical audiences Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team What happens next If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.

Cond Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company s portfolio includes many of the world s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Cond Nast Traveler/Traveller, Allure, AD, Bon App tit and Wired, among others. Job Description Location:Bengaluru, KA Use processes for test plan reviews and ensure that test plans get reviewed by all stakeholders. Validates quality processes by establishing product specifications and quality attributes; measuring production; documenting evidence; determining operational and performance qualification; writing and updating quality assurance procedures. Hands-on experience in API automation testing using POSTMAN Rest Assured. Hands on experience in Cypress, Selenium (Web based Application) automation, Mobile Automation tools (Appium , XUITest) Automation framework enhancement and designing test scripts using cypress. Automation experience in Mobile application testing Ensure comprehensive test coverage across different layers of the application (UI, API, backend). Extensive experience in programming languages Java/Python, Javascript Integration with CI/CD , Cross browser testing, Visual regression. Expertise in executing functional testing, smoke testing, integration and regression testing Expertise in setting up test activities for a project, writing organized test plans and test strategy Excellent written verbal communication, problem solving, analytical and time mgmt.skills Enjoy collaborating with team to solve problems with creative, out-of-the-box thinking Experience in defect tracking tools like JIRA What happens next If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Cond Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.