Engineering Manager Development Infrastructure Salary India Jobs

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As an Enterprise Solutions Consultant at Ramp, you will be crucial in establishing and nurturing partnerships with potential customers in our Enterprise & Public Sector segments. You will be the primary technical liaison for conversations with strategic logo targets, including Fortune 500 and Government vertical prospects. This involves building trust and confidence through expert demonstrations of Ramp's products and a deep understanding of our customers' needs. Collaborating closely with Account Executives, Customer Success, and Engineering teams, you will prioritize and develop financial solutions for Ramp's key customers, ensuring that the product aligns with their evolving requirements. As a senior technical and financial expert, you will design integrated solutions, provide strategic advice to customers, and facilitate communication between internal technical teams and customers. Solutions Consultants drive customer success from deal evaluation to product activation, influencing product development to continually enhance Ram

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Data Quality and Governance owns the infrastructure that makes Stripe's data trustworthy and findable - the Data Catalog, the Knowledge Graph Service, dataset tiering and governance standards, lineage tracking, and the quality scoring system (DQPD) that every engineering team reports against. They're the team that defines what "good data" means at Stripe and then builds the enforcement and measurement tools to drive adoption across the company. What you’ll do Responsibilities Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success Build and operate large-scale data discovery, metadata, or catalog platform Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuo

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Marketing Operations team drives excellence across the shared infrastructure that the marketing and sales development teams depend on: lead routing and lead management, prospect data, campaign production, marketing systems, and sales development systems. The infrastructure covers three vertical channel groups: inbound and outbound sales, digital marketing, and in-person events. We ensure that the underlying operations and systems are reliable, scalable, and well-maintained. In close partnership with Demand Generation Systems, Marketing Operations enables global and region marketers and Sales Development Representatives to focus on driving revenue rather than wrestling with operations and systems. What you’ll do We are looking for a Head of Marketing Operations to lead a critical team to help power Stripe's growth. You will set the direction of marketing operations, solve time-sensitive and complex operational and systems challenges, and develop managers and individual contributors. You will be an indispensable partner to peers in Marketing, Sales Development, Product Management, Engineering, Analytics, and Data Science. You will be directly responsible for a global marketing operations team of 15-20, in addition to 25-30 production specialists with a dotted-line reporting relationship. Responsibilities Drive excellence in the operations and systems that support inbound and outbound sales, digital marketing channels, and in-person eve

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team We're a mobile engineering team based in Barcelona, focused on building world-class mobile applications that deliver excellent user experiences for Stripe merchants. React Native is at the core of how we build—it lets us move fast, share code across platforms, and ship high-quality experiences to millions of businesses worldwide without compromise. As a Senior Mobile Engineer on our team, you'll help shape our React Native architecture, set the bar for engineering quality, and play a meaningful role in defining what great mobile development looks like at Stripe. This is a high-impact role where your decisions will be felt across the product—and across the millions of merchants who depend on our apps every day. What you'll do As a Senior Mobile Engineer, you'll own significant parts of our React Native codebase, lead architectural decisions, and help grow the team around you. You'll work closely with product, design, and cross-functional partners to deliver polished, performant mobile experiences. Responsibilities Spearhead the design and development of critical product features, partnering with cross-functional teams to transform complex requirements into seamless, high-performance mobile experiences Champion the integration of AI and cutting-edge development tools to drive efficiency, elevate code standards, and cultivate a culture of AI-assisted engineering Own architectural decisions for the mobile layer—including navigation, state manage

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement ro

JOB TITLE Cloud Engineer A Career with point72’s technology team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What You'll Do Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code (IaC) with Terraform. Manage and optimize foundational platform for AWS/GCP/Azure services including IAM, Virtual Private Cloud networking, Cloud Security controls and policies, Cloud platform tools and automation to ensure scale, performance and security. Collaborate with development and operations teams to automate deployment and operational processes. Monitor cloud environments to maintain high availability and security standards. Participate in architectural discussions and contribute to the technical roadmap for cloud solutions. Implement best practices for cloud resource optimization and cost management. What's Required Bachelor’s degree in Computer Science, Engineering, or a related field. 5 to 10 years of experience in cloud infrastructure design and automation with optional experience in cloud networking. Proficiency in Infrastructur

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The UI Platform team, known as Sail, builds the foundations that support Stripe’s Dashboard and many of Stripe’s other user interfaces. The Sail Services team provides backend-for-frontend services that help product teams build consistent, scalable user experiences. The team is defining its mission, roadmap, and technical vision as the UI platform takes on a more central role in how Stripe builds user interfaces. We work with engineers, product managers, and designers across Stripe to connect the design system, software development kits, and backend services into a consistent, surprisingly delightful user experience. What you’ll do As a Staff Software Engineer on the UI Platform team, you’ll help shape the technical direction for the services that support Stripe’s user interfaces. You’ll combine hands-on engineering with technical leadership, working with backend engineers and cross-functional partners to deliver platform capabilities that help Stripe build consistent, reliable user experiences. Responsibilities Define a cross-team technical strategy, architecture, and multi-year roadmap for the backend services that power Stripe’s merchant-facing experiences Lead the design and delivery of scalable backend services that give product teams a consistent foundation for building reliable user experiences across the Dashboard, mobile applications, and other interfaces Build reusable platform capabilities that help product teams develop, operate,

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Software Engineer to join our Data Acquisition team. Responsibilities: Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. Work closely with the legal team to handle any compliance or data privacy-related matters. Develop and deploy highly scalable distributed systems capable of handling petabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. Conduct and analyze experiments on data to provide insights into system performance. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in software development. Experience with large web crawlers a plus Strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes, and Infrastructure-as-Code concepts. Willingness and enthusiasm for trying new approaches and technologies. Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an

JOB TITLE Cloud Compute Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Design, build, and operate Kubernetes clusters on Amazon EKS, including cluster lifecycle management, networking, autoscaling, and workload scheduling. Manage and optimize EC2-based compute infrastructure, including instance selection, placement strategies, capacity planning, and utilization analysis. Operate and improve ECS-based services where applicable, ensuring consistency across our container runtime environments. Develop and maintain Infrastructure as Code (IaC) using Terraform to provision and manage compute resources at scale. Collaborate with development and platform teams to define compute patterns, containerization standards, and deployment best practices. Monitor compute environments for availability, performance, and cost, driving continuous optimization across the fleet. Contribute to architectural decisions around workload placement, multi-tenancy, OS image and container li

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Build software applications and deliver software enhancements and projects supporting fund accounting and trade processing technology. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Driving architecture of core platforms and accelerating modernizing leveraging AI tools. Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using the latest technologies and software development ideas. Participate in initiatives to transition select applications to cloud platforms, enhancing stability, scalability and performance of the existing platform. Develop close wo

JOB TITLE Senior Storage Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO The Senior Storage Engineer will be responsible for monitoring, implementation, and management of the organization's File/Block storage infrastructure. This role requires to cover one of the 2 possible shifts in India as well as a deep understanding of File/Block storage technologies and cloud-based solutions, with a focus on ensuring data availability, scalability, and security. The ideal candidate will have extensive experience in storage engineering and a proven ability to manage complex storage environments. • Provide advanced troubleshooting and support for complex storage issues, minimizing downtime and ensuring seamless operations. • Oversee and optimize File/Block storage systems, ensuring high availability and performance. • Conduct capacity planning and forecasting to ensure adequate storage resources are available to meet future demands. • Monitor storage performance and work with US resource to find recommendations for improvements to enhance efficiency and reduce costs. • Implement integration and automation solutions and provide feedback for solution to US Team to streamline operations and improve storage management. • Implement robust security measures to protect data integrity and ensure compliance with industry regulations and standards. • Maintain comprehensive documentation of storage configurations and processes and provide training and guidance to junior team members. WHAT’S

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Develop scalable computer systems that manage a large volume of information and use them to fulfill business goals for Stripe and its partners. Design, implement and deploy adaptable rules systems that use this information to output internal assessments, perform scoring, and derive automated actions for mitigating financial risk and increase the efficiency of Stripe’s global risk mitigation program. Design and build tools that ingest and process signals from various sources to make them more accessible for our partner teams. Participate in all parts of the software development workflow and see the projects through to completion, including their large-scale deployment. Improve engineering standards, tooling, and processes. Debug production issues across services and multiple levels of the stack. Design, build, and maintain APIs, services, and systems across Stripe’s engineering teams. Who you are Minimum requirements Bachelor’s degree or foreign equivalent in Computer Science, Information Technology, or a related field plus 4 years of experience in Software Development or a related occupation. Employer is willing to accept a 3 or 4 year US or foreign degree. Must also have 4 years of experience in each of the following: Building software solutions in Python, Ruby, Objective C, C++, or similar; Designing, building, and maintaining scalable systems; Translating business needs