Software Engineer Data Infrastructure Salary India Jobs

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 Forward Deployed Enablement Engineers are embedded with centralised customer success teams to maximise the outcomes of our deployed products and workflows across all commercial customers from small-scale start-ups to large enterprises. This role balances high-level support responsibilities with the development of innovative tooling and infrastructure to scale customer enablement effectively. You are a resourceful, gritty and adaptable problem solver who is able to work both collaboratively and independently to resolve difficult and nebulous technical issues, as well as work productively with external customers to debug and resolve their problems. Palantir’s Customer Success team helps our customers build on Palantir’s Foundry & AIP Platforms to drive the workflows that power their most important business outcomes. In this role, you’ll leverage your problem-solving abilities, creativity, and technical skills to support and guide customer development teams, ensuring they can effectively build and optimise their workflows. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Every day at Palantir is different: we’re constantly evolving to better respond to customer needs, and you will have the opportunity to contribute your creativity and problem-solving to internal processes and tools that define how we deliver business value to the customer with increasing efficacy and efficiency. Every Palantirian is encouraged to play to their personal strengths, so there is no “one size fits all” approach to engineering at Palantir. The scope of this role is intentionally broad so tha

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 Forward Deployed Enablement Engineers are embedded with centralized customer success teams to maximize the outcomes of our deployed products and workflows across all commercial customers from small-scale start-ups to large enterprises. This role balances high-level support responsibilities with the development of innovative tooling and infrastructure to scale customer enablement effectively. You are a resourceful, gritty and adaptable problem solver who is able to work both collaboratively and independently to resolve difficult and nebulous technical issues, as well as work productively with external customers to debug and resolve their problems. Palantir’s Customer Success team helps our customers build on Palantir’s Foundry & AIP Platforms to drive the workflows that power their most important business outcomes. In this role, you’ll leverage your problem-solving abilities, creativity, and technical skills to support and guide customer development teams, ensuring they can effectively build and optimize their workflows. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Every day at Palantir is different: we’re constantly evolving to better respond to customer needs, and you will have the opportunity to contribute your creativity and problem-solving to internal processes and tools that define how we deliver business value to the customer with increasing efficacy and efficiency. Every Palantirian is encouraged to play to their personal strengths, so there is no “one size fits all” approach to engineering at Palantir. The scope of this role is intentionally broad so tha

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’re looking for Forward Deployed Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, primarily across on-prem environments for the US Government. Forward Deployed Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You’ll travel to various locations where you will be the expert for Palantir’s infrastructure, helping partner teams build & configure their hardware and network for software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.

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 Forward Deployed Enablement Engineers are embedded with centralized customer success teams to maximize the outcomes of our deployed products and workflows across all commercial customers from small-scale start-ups to large enterprises. This role balances high-level support responsibilities with the development of innovative tooling and infrastructure to scale customer enablement effectively. You are a resourceful, gritty and adaptable problem solver who is able to work both collaboratively and independently to resolve difficult and nebulous technical issues, as well as work productively with external customers to debug and resolve their problems. Palantir’s Customer Success team helps our customers build on Palantir’s Foundry & AIP Platforms to drive the workflows that power their most important business outcomes. In this role, you’ll leverage your problem-solving abilities, creativity, and technical skills to support and guide customer development teams, ensuring they can effectively build and optimize their workflows. You’ll have the opportunity to gain rare insight into and contribute to some of the world’s most important industries and institutions. Every day at Palantir is different: we’re constantly evolving to better respond to customer needs, and you will have the opportunity to contribute your creativity and problem-solving to internal processes and tools that define how we deliver business value to the customer with increasing efficacy and efficiency. Every Palantirian is encouraged to play to their personal strengths, so there is no “one size fits all” approach to engineering at Palantir. The scope of this role is intentionally broad so tha

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! Our Solution (Pre-Sales) Engineers are the primary technical field experts, responsible for actively driving and managing the technical components of a sales engagement. This includes explaining Couchbase advantages and differentiators, and how our Couchbase solutions stack meets these customer challenges, all while getting customers excited about using this new approach for delivering consistent business value. This specific position focuses on assisting customers who interact with our technology via application code and the application development process. This development centric position requires experience in Presales, software development experience as well as time developing business solutions. Experience with one or more Enterprise Programming Languages and Solution Development methodologies. Location: D

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

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. Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Databricks, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the team The Solutions Architecture team at Metronome is a technical group that sits at the intersection of sales, growth, product, and R&D. In simple terms, we own the technical as

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our FDE team and work directly with some of the world's largest organizations to turn their most ambitious ideas into production applications on Replit. As a Forward Deployed Engineer, you'll partner closely with customers to understand their technical and business needs, architect solutions, and build the integrations and applications required to deploy Replit successfully within complex enterprise environments. This is a deeply technical and hands-on role. You won’t just advise customers on what to build—you’ll build alongside them. You’ll take applications from initial idea and prototype through deployment and production, navigate complex enterprise environments, and solve the technical challenges that emerge when AI-powered software development meets real-world infrastructure, data, security, and organizational constraints. You will: Build with Customers: Embed with strategic enterprise customers to design and build high-impact applications and AI-powered workflows on Replit, taking projects from initial concept through production deployment. Architect Enterprise Solutions: Design secure, scalable architectures that connect Replit with customers’ existing systems, data, APIs, identity providers, and infrastructure. Integrate with the customer's stack: SSO, data warehouses, internal APIs, and SaaS systems. Own Technical Deployments: Serve as the technical owner for complex enterprise implementations, identifying blockers, debugging issues, and driving projects through to successful production adoption. Bridge Customers and Product: Develop a deep understanding of how enterprises use Replit and translate field insights, technical constraints, and recurring customer needs into actionable feedback

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. Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Databricks, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the team The Solutions Architecture team at Metronome is a technical group that sits at the intersection of sales, growth, product, and R&D. In simple terms, we own the technical as

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 The Security Engineering team helps make Ramp the most secure place for our customers to collect, manage, and put to work their business’ financial information Our work centers in three areas: Ramp builds products with an eye for security Ramp detects and responds to threats before they cause harm Security powers Ramp’s growth Check out our Engineering Blog for more on our tech stack, mission and values! What You’ll Do Drive our cloud security roadmap: review our cloud deployments to identify opportunities for improvement Design and build security-focused infrastructure primitives and integrate them into our existing products and development processes Lead remediation of prioritized issues across our technology stack Partner with infrastructure, data, and devops teams to design and deploy solutions that are inherently secure What You Need Minimum 5 years of experience building software Minimum 3 years of experience building in AWS (with Terraform) A strong sense of ownership: you need to drive projects from inception to scaling it in

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. As Ramp’s founding Privacy engineer, you will build a privacy program that powers Ramp’s growth while earning trust from customers and prospects. What You’ll Do Build privacy-focused application primitives and integrate them into our existing products Partner with other engineering teams to design and deploy solutions which are inherently privacy-centric and secure Improve, implement, and deploy data retention and anonymization strategies across our environment Track shifting legal standards (alongside with Ramp’s Privacy Counsel) and update Ramp systems and processes to match What You Need Minimum of 4 years of experience building software Minimum of 2 years of experienced focused on platform, privacy, and/or security Desire to work in a fast-paced environment, continuously grow, and master your craft Ability to turn business and product ideas into engineering solutions Nice-to-Haves Working knowledge of data-protection legal requirements Experience with Python (Flask), React, and AWS (ECS, as well as other core services) Benefits available to all

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is a software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit helps more people build and ship software. About the Team Product Platform builds and owns the shared foundations the rest of Replit is built on: backend infrastructure, connectors, product primitives, and the frontend platform. When these foundations are solid, every other team moves faster. This role goes deep on the frontend platform: the architecture and platform layer behind every core product surface. The work is high-leverage and horizontal, and gives you exposure across the whole of engineering. We are a small, collaborative team that values curiosity and clear thinking over pedigree, and we care more about how you reason and build than the route you took to get here. If you like making other engineers faster, you will fit in here. About The Role As a Product Engineer focusing on the frontend platform , you will own the frontend architecture behind core product experiences: application frameworks, the API and data layer, testing infrastructure, and client performance. The goal is simple: product teams ship quickly and reliably on what you build. The team’s work is guided by a few simple questions: Is our core frontend architecture (frameworks, state, routing, SSR/CSR) sound, consistent, and easy to build on? Is our API and data layer reliable and ergonomic, with clear contracts, sensible error handling, and effective caching? Are user-facing surfaces fast and well-instrumented, with testing infrastructure that keeps them safe to change? Is the codebase easy to navigate, change, and extend, including for AI coding agents? You’ll partner closely with engineering, produc

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A

About the Team The Software Engineering team is responsible for designing and building the scalable, performant, and secure backend systems that power our products—from early prototypes to large-scale deployments. We collaborate closely with product, hardware, and full-stack teams to ensure our infrastructure enables fast iteration while setting a strong foundation for long-term growth. About the Role As a Backend Engineer , you will design and build services, APIs, and infrastructure that support evolving product needs. You’ll apply a deep understanding of backend systems and maintain enough end-to-end context—from hardware to cloud—to guide technical decisions that best serve the product and team. We’re looking for engineers who thrive in fast-paced, collaborative environments and care deeply about building robust systems that scale. This role is based in San Francisco, CA . We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Architect, build, and maintain high-performance, secure backend systems. Design APIs, data models, and infrastructure to support evolving product needs. Balance near-term development velocity with long-term maintainability and scalability. Collaborate with cross-functional teams to ensure cohesive, end-to-end solutions. You might thrive in this role if you: Have 7+ years of professional software engineering experience, with a focus on backend systems. Have a proven track record of building and scaling systems from early stage to large scale. Are proficient with Python and Go, and familiar with a range of server-side technologies. Have a strong grasp of system design, performance optimization, and security best practices. Can reason about full-stack tradeoffs from hardware through cloud infrastructure. (Nice to have) Have experience with distributed systems and cloud architectures. (Nice to have) Bring a background in instrumentation, analytics, and performanc

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap”—the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments—kitchens, warehouses, hotel floors, and homes—to capture the high-fidelity task data that the world’s leading robotics labs use to train their foundation models. About the Role Instawork Robotics creates the highest-quality, highest-diversity datasets for robotics and physical AI. We work with leading robotics builders and research labs to solve one of the most important challenges in robotics: closing the data gap. As a Platform Engineer, you will build the products, services, tools, and infrastructure that power IRL’s data collection, processing, and quality workflows. This is a hybrid product and infrastructure role: you will design platform capabilities for application engineers while also owning the reliability, scalability, cost efficiency, and operation of the systems behind them. You will help shape the platform roadmap by understanding the needs of application engineers, prioritizing high-impact problems, and delivering simple, reliable, and scalable solutions. Who You Are - 5+ years of experience building and operating production software platforms. - Experience designing platform products, backend serv