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Full Stack Software Engineer Application Development Salary India Jobs

4,425 active opportunities · Updated for October 2026

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Explore current full stack software engineer application development salary india jobs. Use filters to narrow by work mode, employment type, experience and date posted.

SA
Scale AI
📍 San Francisco• Full-time• From $184K/yr
18 days ago

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Own services or systems and define their long-term health goals, while also improving the health of surrounding components. Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: Full Stack Development: Prof

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Coinbase
📍 - USA• Full-time• Remote• From $152.4K/yr
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Software Engineer, Frontend (Coinbase Advisor - Agentic Trading) We're hiring a Senior Software Engineer to join the Coinbase Advisor team within the Consumer & Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an AI advisor living inside the Coinbase app that holds a natural conversation about a user's portfolio, gives personalized financial advice, and executes trades on their behalf. This role is primarily frontend on a full-stack team. You'll own the interfaces that make agentic trading feel fast, clear, and trustworthy for millions of customers, and you'll follow that work into our Go services and LLM layer when the product calls for it. What you'll do: Own the frontend for Coinbase Advisor end to end across React Native mobile and web, including the agentic chat interface, our Strategies experience, and every entry point that brings users into it Build real-time, streaming interfaces for AI-driven advice, trade recommendations, and autonomous execution, where sub-second responsiveness and visual clarity are compliance requirements rather than polish Shape agent behavior directly through prompt engineering, evals, and conversation analysis, because on this team the system prompt is a product surface Extend our Go backend services and LLM integrations (LLM Gateway, Google Gemini) when a great frontend experience depend

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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Software Engineer on the Internal Tooling team, you will own the internal operating system that sits at the heart of how Baseten operates. Capacity helps unlock revenue by carefully balancing supply and demand. The operating system manages all aspects of the customer lifecycle: from onboarding to managing complex customer SLA requirements. This role is for engineers who want to own a product end to end, not just implement tickets. You will work directly with the Capacity, Sales, and Engineering teams to understand requirements, define solutions, and ship software that removes friction from some of the most high-stakes workflows in the company. If something is slow, manual, or error-prone in the capacity fulfillment lifecycle, you will be the one to fix it. You are a strong fit if you have strong product intuition, move fast without sacrificing quality, and take satisfaction in building tools that make the people around you measurably more effective. RESPONSIBILITIES Own the Capacity product end to end: scoping, design, implementation, and iteration based on feedback from internal stakeholders Translate complex operational requirements from Capacity, Sales, and SRE teams into clean, ergonomic product experiences Build and maintain full-stack features across the Capacity toolchain, including UI surfaces, APIs, and backend services Identify workflow bottlenecks and manual processes across the capacity lifecy

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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE The largest, most demanding enterprises are starting to run on Baseten, and they arrive with a range of security, compliance, and procurement requirements. As a Senior Engineer on Baseten's enterprise engineering team, you'll build the capabilities that enable large organizations like Writer, HubSpot, and Notion to succeed on Baseten. Enterprise engineering authors the core building blocks, APIs, and user experiences powering the Baseten platform: identity and access management, billing, regional isolation, and self-hosted and single-tenant deployment options. This is deep product and systems work across the full stack, from designing authentication and authorization systems using standards like OAuth and OIDC to shipping the admin experiences enterprise IT teams use to manage their organization. EXAMPLE INITIATIVES Recent and upcoming work on the team: Fine-grained authorization for users, service accounts, and agentic workloads SSO and SCIM support, allowing customers to centralize and automate access to Baseten Expanding the billing platform to support evolving pricing models, advanced data exports, and controls to manage spend In-product management and enforcement of customer compliance requirements like data residency and HIPAA Securing network paths in and out of a customer's models with private connectivity and ingress and egress restrictions Allowing customers to run Baseten inside their own VPC, on-pr

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Amplitude
📍 Remote• Full-time• From $1.6M/yr
1mo ago

Software Engineer II, Growth at Amplitude (View all jobs) San Francisco Bay Area About The Role & Team The Growth organization is focused on helping users realize long-term value from Amplitude. The team plays a critical role in that journey by driving expansion within existing accounts. Many of our customers start with just a few users — often in product or data teams. Our job is to unlock value for everyone else. We build features that help new users set up, get activated, leverage AI for frictionless insights, highlight relevant parts of the product they might otherwise miss, and expand usage across teams and departments. This is especially impactful in large, complex organizations, where getting from the first few users to broad adoption is a multiplier for retention and revenue. We work across Amplitude’s core product suite and integrations, partnering closely with Product, Design, and GTM. We ship fast, test often, and use data to guide what we build and where we invest. Our work touches activation, feature adoption, habit formation, and expansion — the entire lifecycle of turning someone from a new user into a loyal advocate. This is a role for a product-minded engineer who wants to own meaningful projects end-to-end and help shape the strategy and systems behind how customers adopt Amplitude. As a Software Engineer on Growth, you will: Design and build product features that drive activation, engagement, and cross-team expansion Work across the full stack using TypeScript, React, Node.js, and GraphQL Build experiences that improve user onboarding, feature discovery, and product education Create third party connections, allowing other products to integrate with Amplitude Collaborate with Product, Design, GTM, and other engineers to prioritize and deliver impact Use data to identify opportunities and measure outcomes Leverage AI coding tools to speed up development while staying grounded in system understanding Improve the quality, reliability, and maintain

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Pinterest
📍 San Francisco• Full-time• Remote• From $123.7K/yr
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for inquisitive, well-rounded Full-stack engineers to join our engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: Deliver Impactful Features: Design and implement full-stack, user-facing features—setting the course for Pinterest’s nex

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PE
1mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers.

machine learningaigo
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PE
1mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers.

machine learningaigo
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PE
1mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are a software engineering team with expertise in enabling ML models in production. We deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Our customers rely on us for frontier AI capabilities running on hardware they control, often with constrained GPU resources and limited direct access. Rising to that challenge and meeting those expectations is what Palantir's excels at. We treat models like any other software: continuously tested, continually delivered, packaged for reproducible deployment, and built for long-term maintainability. You will own services end-to-end, and work across the full stack, from inference engines, GPU scheduling to deployment pipelines, observability, and integration with Palantir's platform. The goal is to deliver new models and capabilities quickly and continuously. Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers.

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Nuro
📍 Mountain View• Full-time• From $160.4K/yr
1mo ago

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model & data pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots! About the Work Design and develop ML workflow pipelines to train, optimize, validate, and deploy Nuro autonomy models. Develop and maintain continuous testing and monitoring systems for core ML infrastructure components. Develop observability to track ML model lifecycles from data generation to on-road validation. Maintain an in-house ML inference platform to serv

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Nuro
📍 Mountain View• Full-time• From $160.4K/yr
1mo ago

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Autonomy ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots! About the Work Optimize Nuro’s autonomy stack with cutting-edge optimization techniques like quantization, low precision inference, and model pruning. Work with autonomy engineers to optimize, validate, and deploy large language models. Develop and maintain a world-class model compiler framework, FTL . Write robust, high-quality software to increase our confidence in our vehicl

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1mo ago

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Senior/Staff Applied Software Research Engineer for Emerging Technologies. We are hiring for multiple positions at a Senior and Staff level. About the job This full stack engineer position is needed to contribute hands-on technical expertise, collaborate on rapid prototyping, and develop innovative solutions as part of Twilio’s incubation team. As a Senior Applied Software Research Engineer, you’ll build hands-on skills with new technologies, collaborate with passionate engineers, and contribute to delivering solutions that help shape Twilio’s future offerings. This is a growth role, ideal for someone eager to learn and make a measurable difference in a fast-paced, entrepreneurial environment. As a Staff Applied Software Research Engineer, you’ll work closely with cross-functional partners to design and build new product ideas, leveraging modern technologies and your problem-solving abilities. This is a high-impact

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Asana
📍 Warsaw• Full-time
1mo ago

The Product team builds features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements—thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. Asana’s ecosystem includes a wide range of powerful apps that extend its capabilities and integrate it seamlessly into our users’ workflows. These apps help establish Asana as the shared collaboration infrastructure our customers use to get things done, spanning the full breadth of domains and departments. The Functional Integrations team in the Platform Area owns integrating Asana with the most valuable function-specific (think Operations, Marketing, or IT) tools, enabling experts on those teams to effectively share and communicate their work to the company as a whole. We’re looking for full-stack engineers who care deeply about customers and are passionate about building products that improve the way millions of teams work together. As a member of the team developing the software of a product-led company, you won’t just code — you will be an integral part of the entire product development process, from conception to post-launch reflection. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. Our employees in Poland are employed under a contract of employment. What you’ll achieve As a full-stack engineer, you get to build and own a broad swath of the product: everything from creating a compelling user interfa

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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft - a platform where AI supports creativity instead of flattening it. We’re looking for experienced full-stack engineers to join the Figma Weave team. Whether you're enabling real-time collaboration for thousands of designers, building systems that make design tools robust, performant, and scalable, creating new ways for teams to design and share ideas seamlessly, or powering the features that drive product growth, your work will directly impact the experiences of our users - from startups to Fortune 500 companies. You’ll contribute to our core mission by designing and scaling reliable, secure, and intuitive systems across Figma Weave. Our teams are highly collaborative, work cross-functionally, and focus on building features that support our rapid growth, global expansion, and evolving product surface area. What you’ll do at Figma Weave: Design, build, test, and ship high-quality features across the stack, using technologies like TypeScript, React, Ruby, Go, and more Own key parts of the product that impact user experience, internal productivity, or revenue operations

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Figma
📍 Ca New York• Full-time
1mo ago

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for software engineering interns who are excited to make an impact across different layers of our product and infrastructure. At Figma, we pair interns with teams that align with their skills and interests. This year, we're inviting you to share your interests from the start, so we can create the strongest possible match. Our interns are embedded into small, collaborative engineering teams across the company. You'll work closely with your mentor and teammates to ship meaningful features, tools, or systems. Whether you're working on internal infrastructure or user-facing features, you'll get to learn, contribute, and grow in a supportive environment. This internship will be based out of our San Francisco or New York Hub with a January 4, 2027 start date. Engineering Interests at Figma: When you apply, you'll tell us which areas you're most interested in to help us understand which kinds of engineering work you're most excited about: Product: Build full stack user facing features, including new collaboration tools, new product workflows, growth oriented experiments, and more Platform/Infrastructure: Build platform level tools, including distributed systems, developer tooling, performance/scalability work, and more Security Engineering: Build security-focused systems, product security tooling, detection, secure infrastructure, or privacy/security features Open: I'm flexible and still exploring different types of work What you'll do at Figma: Be fully embedded onto a Figma engineering

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