Software Engineering Intern Winter Salary India in Bengaluru

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join our Modern Virtualization team to engineer the next generation of enterprise storage for cloud-native and virtualized environments. You will architect and deploy best-in-industry Kubernetes, Nutanix, and OpenStack integrations, bringing enterprise-grade storage mobility and automation directly to our customers’ mission-critical workloads. You’ll collaborate closely with global engineering leads to design robust, production-ready code that defines the future of our storage ecosystem and ensures seamless platform interoperability. WHAT YOU'LL DO Feature Architecture & Development: Architect, develop, and deliver scalable features across Kubernetes (OpenShift), OpenStack, and Nutanix stacks for FlashArray and FlashBlade, ensuring seamless, enterprise-grade storage performance for virtualized platforms. End-to-End Ownership: Own the full lifecycle of your features, from initial design and implementation to writing rigorous test automation, guaranteeing high reliability and stability for mission-critical production workloads. Cross-Functional Collaboration: Partner with engineering teams across geographies to drive design reviews, troubleshoot complex distributed system challenges, and continuously elevate our engineering practices, code quality, and test coverage. WHAT YOU'LL BRING Core Engineering Proficiency: Deep hands-on expertise in building production-grade software using Go, Java, or Python, with a pro

Identity has become a critical to an organizations security posture. This is true across their entire digital landscape include cloud, traditional on prem and emerging technologies like agentic ai. Britive is at the forefront of a modern approach to delivering identity security with the only modern privileged access management platform that provides unified Privileged Access Visibility, Dynamic Privilege Management and Secrets Governance across infrastructure, platforms & SaaS. Our patent-pending technology is deployed at companies of all sizes around the world, including Fortune 500 companies. We have repeatedly ranked among the hottest Cloud Security startups. Britive is founded by CyberSecurity industry veterans with a successful prior exit and is backed by top-tier VCs. Key Responsibilities Ensuring Quality standards across various projects in Britive by adhering to quality engineering practices, testing and release planning for Quality Engineering team across releases. Performing manual testing and help maintain quality standards of software. Collaborate with QA team members, development, UI/UX engineers, and project managers to build a creative, powerful and unified user experience for our cloud access application. Analyze product requirements and develop test designs, including test strategy, test setups by identifying right test cases. Reviewing all product artifacts related to testing (e.g. plans, requirements, specifications, tests, test results, traceability, design reviews, reports, etc.). Involved in all quality engineering activities including working with Performance Testing Team and ensuring all the testing activities for the release are adhered too. Continually work on improving metrics gathering and bring up initiatives to improve the Quality Engineering team. What will you need? Required Skills: Prior experience working in a security software product comp

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. What you’ll do: Manage end-to-end release cadences for both DataHub Core (OSS) and our Managed Cloud Coordinate cross-functional teams including engineering, product, QA, DevOps, documentation, and customer success Define Quality Gates: Establish the "Go/No-Go" criteria that ensure every release is rock-solid Build Automation: Design the dashboards and runbooks that turn manual release chaos into a streamlined machine Risk Mitigation: Identify breaking changes and dependency conflicts before they hit production Serve as the central point of contact for all release-related questions and updates Facilitate release retrospectives and drive continuous improvement initiatives Required Qualifications 5+ years of experience in technical program management or release management roles Proven track record of managing complex software releases in fast-paced startup environments Deep understanding of software development lifecycles, CI/CD practices, and DevOps principles Experience with both open-source and enterprise software release models is a strong plus Strong technical background with ability to understand architecture, dependencies, and technical trade-offs Excellent project management skills with proficiency in tools like Jira, Linear, or similar Outstanding commun

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. CloudSEK’s AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company

WHO ARE WE? We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy! CloudSEK , one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention. Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including: CloudSEK’s Product Suite: CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support. A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets. CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies. CloudSEK’s AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet. Key Milestones: 2016 : Launched our first product. 2018 : Secured Pre-series A funding. 2019 : Expanded operations to India, Southeast Asia, and the Americas. 2020 : Won the NASSCOM-DSCI Excellence Award for Security Product Company

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge AI Governance is one of the fastest-emerging categories in enterprise software. The first Gartner® Magic Quadrant™ for AI Governance Platforms was published this year, and OneTrust is named a Visionary in it. OneTrust is looking for a Principal

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Why is this a critical role at OneTrust? What is the challenge / type of challenges someone in this role will have the opportunity to take on? What impact does someone in this role have the opportunity to make within the company, for our customers and on a larger scale in the evolution of privacy and trust? An awareness of current issues affecting the industry and its technologies Create innovative, scalable, fault-tolerant software solutions for our clients and customer base Expand existing software to meet the changing needs of our key demographics What does this person do each day/each week? Describe a true to life day in the life for someone in this role. What do they do and how do they do it? Goal is to paint a real, genuine picture so candidates can see themselves in the role. Support production customers by monitoring and maintaining our cloud application & cloud infrastructure hosting it Build scripts for operational automation and incident response Handle processes surrounding cloud application deployment for our agile release Work with the monitoring, tuning, maintenanc

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Senior Managers of Engineering at OneTrust make long-term strategic and technical contributions. They set strategic goals for the team, hire and develop engineers, and prioritize projects that create meaningful customer and business impact. They remain technically engaged—helping develop new products, identify requirements, and execute with excellence. As a Senior Manager on the AI Governance Engineering team, you will lead the development of OneTrust’s next-generation AI Governance platform. You will help turn complex governance, compliance, security, and responsible AI requirements into scalable products that enable organizations to confidently build, evaluate, deploy, and operate AI models and agents. This is an opportunity to shape a high-impact product area at the intersection of AI, enterprise software, and trust. Your Mission Drive strategic planning and execution while developing key technologies that strengthen OneTrust’s long-term, proprietary strategic position in AI Governance. Create new concepts from initial design through market release, establish a strong engineering culture, and le

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You Will: Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Perform other duties as assigned You Have: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of experience in data engineering or a similar role. Enterprise SaaS software solutions with high availability and scalability Solution handling large scale structured and unstructured data from varied data sources Experience in building and maintaining data platform systems such as distributed compute,

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is looking for a Lead Software Engineer to join our Online Services team, who is passionate about games and will serve both as an individual contributor and as a leader for a skilled and diverse group of developers. This is a full-time, in-office position based in Rockstar’s large game development studio in Bangalore, India. WHAT WE DO The Rockstar Games Online Services Team is a development group, passionate about growing and maintaining the technology platform that powers Rockstar’s online titles and our ability to deliver outstanding player experiences. We build connected experiences that are found across our game franchises. We architect and maintain high-impact features to support the development of the Rockstar community and websites. We build services and tools that support our consumer-facing experiences and our internal business needs. RESPONSIBILITIES Lead a team of software engineers in maintaining and upgrading React and .NET systems. Define key results, set team objectives, provide technical expertise and mentorship. Conduct performance evaluations and regular check-ins to ensure team members are on track and aligned with goals. Develop and communicate technical roadmaps to leadership. Collaborate with Product Management and Production teams to scope and prioritize projects. Integrate systems with multi-functional teams. REQUIREMENTS 8+ years of professional software development experience at an enterprise level organization, with 3+ years of experience leading an engineering team of 4+. Efficiently facilitate communication with teams in various locations worldwide. Experience working in

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. About the Role We are looking for a technically strong and customer-focused Field Applications Engineer (FAE) to join our team in India. The ideal candidate will act as a key technical interface between customers, sales, and internal engineering teams, supporting customers throughout the complete product development lifecycle—from initial requirements gathering and solution definition through development, validation, and delivery. The role requires a strong combination of embedded hardware and software knowledge, customer-facing skills, problem-solving ability, and business awareness. The successful candidate will work closely with customers to understand their technical challenges, recommend suitable solutions, and help drive successful adoption of our products and technologies in the Indian market. Key Responsibilities Take technical ownership of customer-driven projects, supporting the complete development lifecycle from requirements gathering and solution definition through development, validation, and delivery. Act as the primary technical interface between customers, sales teams, and internal engineering/development teams to ensure successful project execution. Work closely with customers in India to provide hardware and software design support, technical guidance, and application-level assistance based on their specific requirements. Understand customer applications and system requirements and recommend appropriate products, technologies, and system architectures. Support customers during product evaluation, prototyping, development, testing, and

Graphcore Senior Principal AI SoC Validation (Bring-up lead) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Key responsibilities Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. Promote collaboration and shared understanding Work closely with

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

Qualifications & Experience 8+ years of work experience required with a minimum of 4 years in a product management role. Product Craft: Designing and shipping software consumer facing products. Stakeholder Management: Work closely with Engineering and Business to drive the product roadmap. Ability to organize, manage, prioritize and take tradeoff calls while working with engineering and other stakeholders. Cutting Edge: Be in the know of product/business trends within and areas adjoining the UGC charter and be able to bring the relevant ones to the roadmap. Data/Logic-driven Approach: to work with large quantities of data, insights and business skills to leverage analytics for decision making.

JOB TITLE Reference Data Engineer A Career with point72’s Cubist TEAM Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you’ll do Develop, test, and maintain software applications using .NET Full Stack technologies. Write clean, scalable, and efficient code in Python for various applications. Collaborate with cross-functional teams to define, design, and ship new features. Implement and manage CI/CD pipelines and other DevOps practices to ensure smooth deployment and operation of software solutions. Participate in code reviews and contribute to a culture of continuous improvement. Troubleshoot and resolve software defects and issues in a timely manner. Stay up to date with emerging technologies and industry trends to enhance skills and knowledge. What’s REQUIRED We are looking for a motivated and skilled Software Engineer with experience in .NET Full Stack development, Python, and DevOps. You should also have: Bachelor’s or master’s degree in computer science, engineering, statistics or a related field. 3+ years of experience in .NET Full Stack development and Python programming. Basic understanding and practical experience with DevOps tools and methodologies. Strong problem-solving skills and attention to detail. Excellent communication skills and the ability to work collaboratively in a team environment. Eagerness to learn and adapt to new technologies and challenges. Commitment to the highest ethical standards. About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its inves