Network Engineer 4 in India

Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution. Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia. Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently. Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region. We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce V

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Senior Staff Software Engineer to shape technical strategy across multiple teams or a full product area at OneTrust. Senior Staff Engineers are a recognized technical authority whose decisions on architecture and direction extend well beyond their immediate team. Your Mission Strategy & Architecture Define technical direction and architecture for a product area spanning multiple teams. Act independently on significant, unique problems that require evaluating intangible or unprecedented factors. Cross-Functional Influence Partner with Staff and Principal-level peers, and with Product/UX leadership, to align technical roadmap with business strategy. Build formal cross-group networks; serve as a recognized authority beyond your own team. Standards & Quality Establish engineering standards that get adopted org-wide within your domain. Mentorship & Talent Growth Mentor Staff Engineers and contribute to technical leveling and promotion calibration. You Are Someone who acts independently on

We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. <

The Automation Engineer shall be responsible for operation, maintenance, troubleshooting, calibration, and optimization of the terminal automation system to ensure safe, reliable, and uninterrupted operations of the POL Terminal. The role involves managing PLC/SCADA systems, flow metering systems, tank gauging systems, communication networks, field instrumentation, and integration with customer and ERP systems while ensuring statutory and safety compliance. Source: Adani Group | Job ID: 58553

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Product Development - EMV and Payment Technology Overview Mastercard delivers robust, high quality, and fully approved technology products that enable issuers, acquirers, and partners to bring secure and innovative payment solutions to market. Within the Chip Engineering organization, the Product Approval Team plays a critical role in ensuring that these products—ranging from cardholder and acceptance devices to Wallet UIs, mobile applications, and back end systems—meet Mastercard standards and are delivered on time. This role provides the opportunity to work globally across a wide spectrum of products, including device-based solutions, wearables, mobile payment applications, cloud based payment systems, transit solutions, and backend services. ________________________________________ Major Responsibilities Operational Management • Lead and manage operations related to Mobile Payment Applications, Wallet UI, Wearables, and Back-End Server Approvals. • Ensure full compliance with Mastercard testing, branding, approval processes, and operational rules. • Oversee the execution of global approval processes and associated requirements for: o Wallet UI and Wearables o Merchant Presented QR (MPQR) o Cloud-Based Payments (MCBP) o Token Service Providers (TSP) o Trusted Service Mana

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Technical Program Manager 1. Overview This role provides Tier 1 and Tier 2 support for Jira Cloud users across Mastercard programs, ensuring seamless onboarding, issue resolution, and vendor coordination. You will work closely with engineering, product, and vendor teams to maintain operational excellence and drive adoption of Jira Cloud and integrated tools like Aha! and X-ray. 2. Role • Serve as the primary contact for Jira Cloud support , handling Remedy tickets, onboarding queries, and user escalations. • Facilitate onboarding of programs to Jira Cloud, including license validation, test case migration, and user provisioning. • Conduct demos and office hours to guide users through Jira workflows and integrations. • Partner with engineering teams to troubleshoot configuration issues, permission models, and data sync errors between Jira and Rally/Aha • Support CRQ planning and execution for Jira schema updates, field validations, and migration logic enhancements. • Coordinate with vendors to resolve plugin issues, validate architecture diagrams, and ensure compliance with Mastercard’s security standards. • Monitor and clean up orphaned work items, duplicate epics, and initiatives across programs using Domo reports and Confluence documentation. • Maintain Confluence pages for s

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist II Role Overview Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps. Key Responsibilities Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components. Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning. Build RAG solutions, embeddings workflows, vector-search applications, and AI agents. Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining. Use Databricks, PySpark, MLflow, Unity Catalog, Workflows, Vector Search, and Model Serving for governed model development and operations. Implement CI/CD, automated testing, observability, model monitoring, and production support practices. Partner with data science, engineering, product, security, privacy, and governance teams to deliver reliable and responsible AI solutions. Required Skills & Experience 3–4 years of experience in AI/ML engineering, software engineering, data science, or a related field. Strong Python, SQL, object-or

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: The User Acquisition team at Zynga is looking for an experienced and accomplished User Acquisition performance marketer who will be responsible for managing large-scale advertising campaigns. This person is an analytical and business-savvy number-cruncher who will acquire users for Zynga’s growing mobile portfolio. This individual will focus on leveraging Paid Social Channels, Ad Networks, and DSPs to scale our current marketing efforts. You will be responsible for helping the team identify and develop mobile acquisition strategies, and work closely with engineering and machine learning engineers to further improve our internal tools. You are an experienced quantitative online marketer who can manage multiple priorities while delivering outstanding execution. This role is well suited for those

We are seeking a highly experienced and skilled Communication & Connectivity professional with a background in the telecommunications industry. The ideal candidate will have 10-15 years of experience and possess expertise in Technical Architecture, System Solution Architecture, Project Management, and Network Management. As a key member of our team, you will play a crucial role in designing and implementing communication and connectivity solutions to support our business operations. This position offers the opportunity to be part of a dynamic and innovative environment at Adani, where your contributions will directly impact our technological advancement and business growth. Source: Adani Group | Job ID: 55878

Job Title Service Network & Technical Operations Manager Job Description Job title: Service Network & Technical Operations Manager Your role: • Consumer Care & Service Network Management: Manage and strengthen the consumer care and authorized service network to ensure high-quality and timely service support. New Product Introduction (NPI) Training: Plan and conduct technical training for service centre teams on new product launches, product features, repair procedures, and troubleshooting. Spare Parts Management: Ensure availability and proper management of spare parts across service centres, including forecasting, inventory monitoring, and resolution of critical shortages. Safety Case Management: Identify, monitor, investigate, and coordinate closure of product/service-related safety cases in accordance with company safety standards and escalation procedures. Technical Product Knowledge: Develop and maintain strong technical knowledge of products, including functionality, installation, troubleshooting, repair, and common failure modes. Service Centre Claim Management: Manage service centre claims related to warranty repairs, spare parts, labour, and other service activities. Ensure claims are accurately validated, processed, and resolved within defined timelines. Service Quality Improvement: Monitor service performance and identify recurring technical issues, driving corrective and preventive actions with relevant teams. Cross-functional Coordination: Coordinate with Product Development, Quality, Supply Chain, Sales, and Customer Care teams to resolve technical and service-related issues. Performance Monitoring: Track key service network KPIs such as turnaround time, first-time fix rate, repeat complaints, claim closure

Communications Technician 4, Network Maintenance(DOT) — IN - Indianapolis, 5330 E 65th St. Apply via Workday.

Senior Specialist , Product Development , Network products — Pune, India. Apply via Workday.

... Address: C/O 410096 Sun TV Network Ltd : Murasoli Maran Towers 73, MRC Nagar Main Road, MRC Nagar, Chennai, TN, INDIA - 600028 Facility: SUN TV NETWORK LIMITED Qualification: Diploma Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP565112