Fullstack Engineer Salary India Jobs

We are looking for a Senior Software Engineer to become part of our storage management plane team. The management plane is a web-based application crafted to provide our storage customers the capabilities to handle and supervise our distributed storage infrastructure. Our team is continually dedicated to acquiring and implementing ground breaking technologies to overcome obstacles and innovate solutions for improving our ability to handle large clusters of machines efficiently. What You Will Be Doing: Maintain and develop Kubernetes operators and our Container Storage Interface (CSI) plugin. Develop a web-based solution that manages, operates and monitors our distributed storage. Work closely with other teams to define and implement new APIs. What We Need to See: B.Sc., M.Sc. or Ph.D. in Computer Science, or related discipline, or equivalent experience. 8+ years of experience in web development ( both client and server ) Proven experience with Kubernetes (K8s), including developing or maintaining operators and/or CSI plugins. Experience scripting with Python, Bash or similar. Experience with nodejs is a must At least 5 years of experience working in a Linux OS environment You’re smart and a quick learner You do what it takes to get the job done Passionate about coding and big challenges Ways to stand out from the crowd: NodeJS for the server side: dominant modules are async & express . Kafka, MongoDB, K8s JavaScript frameworks: React, jQuery, c3j

Software Technologist I – Full Stack Development Engineer — Bangalore. Apply via Workday.

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for a full-stack product engineer who can own ambiguous enterprise workflows end to end: understand a customer problem, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners. You will build across ChatGPT Work surfaces, services, plugins, connectors, and data or permission boundaries when the experience requires it. You will make quality and rollout observable through evaluations, product and operational signals, and clear fallback or rollback paths. This is a product-engineering role for someone who can move between user problems and system details without losing ownership of either. The strongest candidates will be able to turn specific customer evidence into a generalizable product, explain scope and architecture tradeoffs, and carry a feature from an early prototype through a bounded production rollout. In this role, you will: Build and ship role-specific workflows across ChatGPT Work surfaces, services, plugins, and connectors. Turn customer a

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation opportunities that reduce repetitive work while preserving human review, judgment, and accountability. Own production systems through testing, observability, incident response, documentation, and continuous reliability improvements. Hel

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and Engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. This role is based in San Francisco, CA, with two additional locations under consideration: London, UK, and Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation o

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Full Stack Data Engineer is responsible for designing, developing, supporting, and enhancing Trade Operations applications, data pipelines, and cloud-based services that power the end-to-end Trade data lifecycle. This role combines software engineering, data engineering, cloud technologies, and operational support to ensure Trade data is processed accurately, securely, and efficiently from ingestion through product delivery. The engineer will partner closely with Trade Operations Analysts and Technology teams to build scalable solutions, automate manual processes, improve data quality, modernize legacy platforms, and support strategic initiatives such as market onboarding, cloud migration, and AI-driven process improvements.

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. Affirm is seeking a Staff Full Stack Software Engineer to join the Acquisition & Onboarding team within the Consumer org. This is a high-impact leadership role for an engineer who can set technical direction, drive architectural decisions, and elevate the quality and velocity of full stack development across mobile, web, and backend systems. The team plays a critical role in shaping the first experience customers have with Affirm—building trust, clarity, and value from the very first interaction. As a Staff Engineer, you will be responsible for defining long-term technical strategy, mentoring senior engineers, and acting as a force multiplier through your technical depth, operational excellence, and ability to navigate ambiguity. You'll work at the intersection of product, design, and engineering to build polished, performant, and accessible user experiences that directly impact conversion, retention, and business growth. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review a

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. Affirm is seeking a Staff Full Stack Software Engineer to join the Acquisition & Onboarding team within the Consumer org. This is a high-impact leadership role for an engineer who can set technical direction, drive architectural decisions, and elevate the quality and velocity of full stack development across mobile, web, and backend systems. The team plays a critical role in shaping the first experience customers have with Affirm—building trust, clarity, and value from the very first interaction. As a Staff Engineer, you will be responsible for defining long-term technical strategy, mentoring senior engineers, and acting as a force multiplier through your technical depth, operational excellence, and ability to navigate ambiguity. You'll work at the intersection of product, design, and engineering to build polished, performant, and accessible user experiences that directly impact conversion, retention, and business growth. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and de

About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build the systems where SAP meets AWS — extending our enterprise ERP with cloud-native services and agentic AI to power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll work on SAP-side development (ABAP, CDS, RAP, OData) and AWS-native engineering (Lambda, Step Functions, MCP servers, Bedrock, CDK) — owning integrations end-to-end. About the Role You'll work at the intersection of SAP enterprise systems and modern cloud engineering — building AWS-hosted APIs and pipelines that talk to SAP, standing up agentic AI tooling (MCP servers, Bedrock agents, Claude-powered workflows) that automates Finance operations, and shipping production AWS services alongside SAP customizations. The business problems are well understood; how you solve them with SAP + AWS + AI is up to you. We need someone equally comfortable writing ABAP inside SAP GUI and Python/TypeScript infrastructure code against AWS — a full-stack enterprise engineer who ships across both worlds and raises the bar on automation. You Will SAP Engineering (~50%) Design, build, and maintain integrations between SAP (S/4HANA, BTP) and downstream systems — own

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build the systems where SAP meets AWS — extending our enterprise ERP with cloud-native services and agentic AI to power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll work on SAP-side development (ABAP, CDS, RAP, OData) and AWS-native engineering (Lambda, Step Functions, MCP servers, Bedrock, CDK) — owning integrations end-to-end. About the Role You'll work at the intersection of SAP enterprise systems and modern cloud engineering — building AWS-hosted APIs and pipelines that talk to SAP, standing up agentic AI tooling (MCP servers, Bedrock agents, Claude-powered workflows) that automates Finance operations, and shipping production AWS services alongside SAP customizations. The business problems are well understood; how you solve them with SAP + AWS + AI is up to you. We need someone equally comfortable writing ABAP inside SAP GUI and Python/TypeScript infrastructure code against AWS — a full-stack enterprise engineer who ships across both worlds and raises the bar on automation. You Will SAP Engineering (~50%) Design, build, and maintain integrations between SAP (S/4HANA, BTP) and downstream systems — own

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testing, observability, deployment, and lifecycle support. Develop an

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testing, observability, deployment, and lifecycle support. Deve

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products. You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products. You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent. This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them. Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights. Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels. Partner with Product, Design, Growth, and Data Science to