Full Stack Software Engineer Application Development Salary India Jobs

Engineer 4 - UI Full Stack Developer — India - Chennai, Comcast India Engineering Cent. Apply via Workday.

AI Enabled Full Stack Engineer — Taoyuan - Fab 11, Taiwan. Apply via Workday.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Analyst at Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure. What you'll do Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts Build and maintain critical reporting data models that power external merchant reporting Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) Develop processes, governance, and foundations to scale the impact of analytics within Revenue. What we look for 3+ years of work experience in an analytics engineering or business intelligence role Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) Understanding of the data founda

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Senior Analyst, Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure. What you'll do Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts Build and maintain critical reporting data models that power external merchant reporting Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) Develop processes, governance, and foundations to scale the impact of analytics within Revenue. What we look for 3+ years of work experience in an analytics engineering or business intelligence role Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) Understanding of the data f

Manager, Full-Stack Engineering, SMAI — Hyderabad - Phoenix Aquila, India. Apply via Workday.

About the Team We're building the foundation for a new kind of AI coworker: persistent agents that have their own environments, can meet people wherever they work, and continue making progress for as long as a task requires. Our goal is to help individuals, teams, and organizations delegate meaningful work to AI—not just ask questions or complete a single turn. Our work brings together product, agent, and infrastructure capabilities across OpenAI. Together, we are creating always-on virtual coworkers that can carry context across tasks, operate through the right tools and channels, and deliver reliable results in real workplace environments. About the Role We’re looking for a full stack product engineer to shape how people discover, direct, and collaborate with AI coworkers. You’ll own product experiences end to end, spending roughly equal time building intuitive frontend surfaces and the backend systems that make agentic workflows persistent, reliable, and useful. You’ll work at the intersection of product engineering, design, agent capabilities, and enterprise readiness—turning rapidly evolving model and platform capabilities into experiences customers can understand, trust, and use every day. In this role, you will: Design, build, and ship full stack product experiences that help people and teams delegate meaningful work to persistent AI coworkers. Create intuitive frontend interfaces for directing agents, reviewing their progress, understanding their actions, and collaborating on the work they produce. Build backend APIs, services, and data models that support persistent agent state, asynchronous execution, orchestration, and progress reporting. Develop workflows that help agents access relevant context, use tools, and collaborate with people across workplace surfaces and channels. Partner with product, design, research, and engineering teams to turn shared capabilities into cohesive products. Build trust into the product through clear user controls, understanda

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together. Position Overview: The Senior Platform Engineering Lead is a pivotal senior-level engineering position responsible for driving the

About the team The Agent Enablement AI Deployment Engineering (ADE) team works across engineering, product, design, partnerships, and strategic customers to grow an open ecosystem of agent-enabled sites and services. We help partners adopt the OpenAI tech stack related to identity, permissioning, agent-auth primitives so users can safely connect ChatGPT and Codex to the tools, services, and workflows they already use. Our team also works with external partners on defining the standards for agent access, marketplace offerings as well as other agent enablement initiatives to ensure users of ChatGPT and Codex go from intent to task completion seamlessly. About the role We are looking for an AI Deployment Engineer to help strategic partners design, build, validate, launch, and operate agent enablement integrations across web applications, connectors, APIs, CLIs, MCP servers, and developer tools. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated technical engagements, and turn ambiguous identity and agent-workflow requirements into secure, production-ready integrations. You will work across partner product and engineering teams and OpenAI’s product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams. You will identify high-value user journeys, choose the right integration path, prototype and review architectures, write code, run evaluations and dogfood, trace failures end to end, guide launch and rollout, and support post-launch iteration. The best person for this role moves fluidly between full-stack code, OAuth/OIDC and identity systems, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product-minded engineer who wants to stay close to users and partners while going deep on authentication, permissions, reliability, safety, and developer experience. The principle objective is to

About Paytm: Paytm is India's leading financial services company offering full-stack payments and financial solutions to consumers, merchants, and online platforms. Our mission is to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. About the Role: We are looking for an experienced Program Manager (DGM/GM) to drive strategic initiatives for Paytm's Lending EMI business. The role will own end-to-end program execution across No Cost EMI, EMI at Checkout, and other lending solutions, ensuring seamless collaboration between Business, Product, Technology, Operations, Risk, Compliance, Finance, Marketing, and external partners. The ideal candidate should have a strong understanding of the Lending EMI ecosystem, excellent stakeholder management skills, and experience in driving large cross-functional programs, process excellence, and business growth. About the Team: The Lending EMI team is responsible for building and scaling innovative financing solutions by collaborating with Banks, NBFCs, and internal teams to deliver seamless customer and merchant experiences. Key Responsibilities: ● Drive end-to-end execution of strategic Lending EMI programs, ensuring timely delivery against business goals. ● Partner with cross-functional teams to manage program timelines, dependencies, risks, and successful implementation. ● Lead internal stakeholder management and align Business, Product, Technology, Operations, Risk, Compliance, Finance, and Marketing teams. ● Design and improve scalable processes to enhance operational efficiency and customer experience. ● Manage partner onboarding, technology integrations, governance, and ongoing engagement with Banks and NBFCs. ● Own subvention management, financial reconciliation, reporting, MIS, and program governance. ● Ensure brand alignment across product launches, merchant communication, and partner initiatives. ● Monitor program performance through data-d

About Us: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants, and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma. About the Team: The Travel & Growth Operations team drives digital ticket bookings, campaign management, and strategic institutional partnerships. Acting as a critical operational bridge between growth marketing, tech, and external key accounts like State Road Transport Corporations (RTCs), the team scales user adoption and optimizes booking performance across national transit networks. About the Role: Drive digital execution across campaign operations, promotional management, and institutional account management. Blending hands-on growth operations with strategic partnership management focused largely on State Road Transport Corporations (RTCs), you will serve as the core link between RTC officials/depot managers, central growth marketing teams, and tech operations to optimize ticket booking campaigns, digital visibility, and strategic promotional initiatives. Expectations / Requirements: 1. Set up, schedule, and automate targeted lifecycle campaigns on growth automation tools like CleverTap (push notifications, in-app popups, and user segmentation tailored for RTC commuters). 2. Manage banner creation workflows, route visibility, featured placements, and promotional banners to boost user conversion for RTC bus bookings. 3. Configure promo codes, manage discount logic, track redemption metrics, enforce fraud controls, and manage promotional budgets for RTC routes. 4. Coordinate closely with central product, tech, and marketing teams to ensure seamless feature rollouts, bug resolution, and operational alignment for RTC platforms. 5. Act as the

About Us: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma. About the role: A Talent Acquisition (TA) Intern supports the recruitment team by sourcing and screening candidates, coordinating interviews, and maintaining recruitment trackers. They assist with job postings, initial candidate communication, and documentation like offer letters and onboarding forms. The role also involves helping with employer branding activities and ensuring smooth coordination between candidates and hiring managers. Working per week: 5 days Location: Noida Period: 3 months

About Us: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants, and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma. About the team: Social CST Team comprises service associates who help customers through their journey on Paytm, help them have a good experience of Paytm services. About the role: Candidate has to handle concerns and complaints raised by the customers on day-to-day basis on multiple social media platforms and make sure the daily task is being closed within the defined TAT with good customer experience. Expectations/ Requirements: ● Resolving day-to-day queries of the merchants via chat/call. ● Oversee day-to-day management of campaigns and ensure brand consistency. ● Ensure brand consistency in copy through tone, voice, and terminology. ● Supervise all aspects of social media interaction between customers and the company, and ensure a positive customer service experience. ● Developing and implementing a timeline to achieve targets. ● Previous experience in team handling Chat/email Support. Superpowers/ Skills that will help you succeed in this role: ● High level of drive, initiative, and self-motivation ● 1+ years’ experience in social media escalations management ● Exceptional multi-tasking skills ● Strong problem-solving skills Educational Qualification: Any Graduate.

About Us: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants, and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma. About the Team: The OCL Grievance Redressal Team manages customer grievances, executive escalations, and regulatory complaints through voice, email, and ticketing channels. As a regulated reporting function, the team ensures timely, accurate, and compliant resolutions while upholding the highest standards of quality and customer experience. About the Role: Manage customer grievances, executive escalations, and regulatory complaints across voice and written channels. Drive end-to-end case resolution through customer engagement, RCA preparation, stakeholder coordination, and regulatory reporting while ensuring timely, compliant, and high-quality outcomes. Expectations / Requirements: 1: Handle customer complaints, grievances, and escalations received through email and ticketing platforms. 2: Manage regulatory complaints received through channels such as GRO, Nodal, Ombudsman, and other regulatory authorities. 3: Ensure timely closure of cases within the defined SLA/TAT while maintaining regulatory compliance. 4: Coordinate with internal business teams, lenders, and stakeholders to obtain RCAs and resolutions. 5: Prepare accurate case summaries, regulatory responses, and reports for submission to regulatory authorities. 6: Maintain complete documentation and ensure adherence to internal policies and compliance requirements. 7: Ensure brand consistency in written communication, including tone, accuracy, and financial/legal terminology. 8: Meet daily productivity and quality targets while maintaining high customer satisfaction. Superpowers / Skills

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. About our Customer Platform team: Our Customer Platform Team plays a pivotal role in integrating our platform with external systems and ensuring seamless, reliable connectivity for both internal users and customers. As the leader of this team, you’ll drive the strategy, architecture, and development of our connectivity solutions, focusing on API integration, distributed systems, and a robust data platform. Your role will be crucial in maintaining and enhancing our platform’s ability to meet the needs of both our internal and external stakeholders. Responsibilities: Own large areas within our product Comfortable working cross functionally, whether that be internal or external customers Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 7-10 years of relevant experience is preferred Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Abil