System Engineering Intern in Pune

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready data products. This is not a role for someone who executes tickets. You will design and build the data infrastructure that powers internal decision-making and external product capabilities, working at the intersection of data engineering, platform thinking, and stakeholder alignment. You will own complex technical decisions, set the bar for data quality and governance, and contribute to a data platform that scales with the business. The person we are looking for combines engineering rigour with pragmatic judgement — someone who can solve for today while building for the future, and who raises the standard of the teams they work within. AS A SENIOR DATA ENGINEER AT SNOWFLAKE, YOU WILL: Design, build, and launch production-ready data models and pipelines that scale effectively across the enterprise data lifecycle — from ingestion through transformation, modelling, and consumption Own complex system design decisions end-to-end, evaluating tradeoffs and documenting architectural choices c

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: We are looking for a Senior Software Engineer – Platform Operations based in Pune, India, who will play a key role in ensuring the reliability, performance, and operational excellence of DeepIntent's platform and data ecosystem. This role requires a strong engineering mindset with the ability to troubleshoot complex technical issues, understand distributed data architectures, and collaborate across Engineering, Product, Analytics, and Customer-facing teams to deliver timely and effective solutions. As part of the Operations organization, you will work closely with Engineering to support production systems, improve operational processes, and drive platform stability. The ideal candidate is a self-motivated problem solver who is passionate about learning new technologies, improving system reliability, and delivering exceptional customer outcomes through engineering excellence. Serve as the engineering interface between Customer-facing teams, Analytics, Product, and Engineering organizations. Partner with Platform Support, Client Success, and other customer-facing teams to investigate and resolve complex platform-related issues. Analyze application, API, and data pipeline issues to identify root causes and drive timely resolution. Develop and standardize operational tools, and interfaces to support analytical and operational use cases. Monitor data pipeline executions, investigate failures, and implement corrective and pre

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role Overview: We are seeking a Senior Director of Software Engineering to lead the architecture, development, and global scale-out of our Security Service Edge (SSE) platform. This role is responsible for building and evolving our cloud-native security platform that delivers comprehensive protection across users, devices, applications, data, and network traffic — spanning branch, hybrid, multi-cloud, and internet environments. The ideal candidate is a seasoned engineering leader with deep expertise in distributed systems, cloud-native architecture, and enterprise security platforms. You will shape the long-term technical strategy, drive execution excellence, and build a high-performing engineering organization in India that supports a globally deployed SaaS platform. Key Responsibilities: • Define and execute the long-term engineering roadmap for the SSE platform aligned with business objectives. • Build, mentor, and scale high-performing engineering teams. • Establish strong architectural governance, engineering best practices, and quality standar

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Responsibilities: Design and develop control‑plane and system services for a firewall platform, operating above the networking dataplane (OSI Layer 3+). Build and maintain management interfaces and APIs , including configuration frameworks, CLI, secure access (SSH), logging, and diagnostics. Implement security services such as authentication (SAML), guest access, SSL/TLS handling, and certificate lifecycle management . Develop embedded services for content filtering , including URL categorization, reputation, and rating systems, along with SNMP/telemetry support. Lead efforts in licensing systems , vulnerability remediation, and secure architecture in collaboration with cross‑functional teams. Requirements: 8+ years of experience in C/C++ systems development for embedded platforms, security appliances, or network operating systems. Strong hands‑on expertise with configuration frameworks, service APIs, CLI development, logging systems, and secure remote access (SSH) . Solid understanding of L3–L7 networking and security concepts , including SSL/TLS, au

We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions — owning the full journey from intuitive user interfaces to robust cloud-native backends. What This Involves: Front-End Development Develop and maintain user interfaces for web applications using React and Next.js. Translate wireframes and design mockups into functional, accessible UI components. Identify and resolve front-end performance bottlenecks to ensure smooth user experiences. Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library). Back-End Development Develop and maintain high-quality back-end services and APIs using Python. Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). Manage containerized applications using Docker and Kubernetes. Contribute to the design and evolution of scalable, cloud-native software architectures. Contribute to and maintain CI/CD pipelines for web and back-end applications. Collaboration and Quality Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions. Support the development and deployment of AI and analytics solutions. Write clean, well-documented, and maintainable code across the full stack. Participate in technical discussions, code reviews, and continuous improvement initiatives. Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards. Requirements: Bachelor’s degree in Computer Science or related fields. 5+ years of software development experience, with meaningful time on both front-end and back-end systems. Experience designing systems in cloud-native or distributed environments is a plus. Excellent communication and collaboration skills — comfortable working acros

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a Staff Software Engineer, Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products. As a Staff Software Engineer, you’ll architect, build, and operate the backend and platform systems that power AI Platform. You’ll work across service design, distributed systems, cloud infrastructure, event-driven processing, observability, CI/CD, and production reliability, helping shape the technical direction of a platform that supports scalable, client-facing AI experiences. This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code, make sound architectural tradeoffs, and own platform capabilities end-to-end — not someone focused only on scripting, cloud configuration, or infrastructure tooling in isolation. You will collaborate closely with frontend, product, and AI/ML engineers to deliver reliable, secure, and scalable systems that align with Addepar’s standards of performance, resilience, and trust. Applicants must have legal authorization to work in the country where this role is based o

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Responsibilities Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6+ years of hands-on software development experience. Strong foundation in Java and API technologies. Genuine interest in specializing in mainframe/legacy systems technology as a long-term career direction. Core Technical Skills – Java, APIs & Modern Stack Working knowledge of Java, used for the Sola IDE and one of the Sola runtime implementations. Experience with RESTful and SOAP web services, including how they're designed, secured, and exposed from backend systems. Familiarity or hands-on experience with API management gateways (e.g., Akana, Apigee, MuleSoft, Kong, or similar) — Sola's core purpose is exposing mainframe assets as governed, gateway-managed APIs. Working knowledge of JavaScript, used extensively within the Sola IDE. Experience with SQL/NoSQL databases, including DB2, Oracle, MS SQL, and/or MySQL. Working knowledge of CI/CD tools and pipelines. Requirement Mainframe & Legacy Systems – Growth Track (Mentorship & Training Provided) These skills will be

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies. Addepar is building solutions to support our clients' alternatives investment strategies. The alternatives data management product is a serverless, modular and terraformed stack. We're hiring a Senior Software Engineer to design, implement and deliver modern software solutions that ingest and process ML-extracted data. You will collaborate closely with cross-functional teams including data scientists and product managers to build intuitive solutions that revolutionize how clients experience alternatives operations. You will work closely with operations engineering on document-based workflow automation and peer engineering teams to define the tech stack. You will iterate quickly through cycles of testing a new product offering on Addepar. If you've crafted scalable systems, or worked with phenomenal teams on hard problems in financial data, or are just interested in solving reall

Why This Role Exists Eulerity-GACS is an AI-native marketing automation platform — not a legacy tool with AI bolted on. We serve enterprise brands like Mastercard, UPS Store, Uber Eats, automating digital advertising across thousands of franchise locations. As we scale, we are expanding our India-based Mobile Engineering team to support our rapidly growing client base! We aren't looking for a traditional developer who writes Swift. We want an AI-augmented engineer who treats agentic coding workflows as their primary development tool. At Eulerity-GACS, AI-first development enables us to ship high-impact features to real users at a pace that leaves legacy competitors behind. If you are a senior-level developer who has already restructured your workflow around Claude Code, Copilot, and system prompting to move faster than your peers, we want you on our team. The Fast Facts Location: Remote (India) Schedule: Shifted to ensure close alignment and high-bandwidth collaboration with US EST hours (e.g., approximately 5:30 PM – 2:30 AM IST). Compensation: ₹13-16 LPA (depending on experience) AI Tools: Unlimited. Claude Code, Copilot, whatever makes you sharp — we don't gatekeep tools here. Start Date: Early joiners preferred What You'll Actually Do This is a high-ownership role where you will be building features that real users depend on daily. Develop, test, and maintain our high-quality iOS application using Swift, SwiftUI/UIKit, and AI-first development practices. Agentic coding tools will be your daily drivers. Collaborate closely with US-based Product and Design teams to implement features from architecture through deployment, leveraging AI for code generation, debugging, and review. Write clean, scalable, and highly maintainable code following best practices and architectural patterns. Utilize effective prompts and system instructions as a core engineering skill to maintain a robust MVVM architecture. Who You Are We are looking for a technically sharp devel

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role We are currently seeking a highly experienced Staff Software Engineer with a strong Java background to join our Letter of Authorisation (LOA) team! We’re building a system that can self-service onboarding of held-away accounts for enterprise clients. This new system will be built on our application framework with cloud-native architecture principles. We’re looking for an experienced, detail-oriented Engineering Leader who will build an inclusive team culture, empower engineers to succeed and foster an environment that creates high quality engineering processes and product delivery. You are passionate about technology and can amplify your technical knowledge via your team. You’ll work closely with our product and design teams to deliver great products for our clients. Our engineering team primarily works in Java, Python and React, a strong Java experience with any of the additional skills would help succeed in the role. We use Agile methodologies to deliver impactful business outcomes. What You’ll Do Architect, implement, and maintain engineering solutions to solve complex problems; write well-designed, testable code. Lead individual project priorities, deadlines, and solutions. Collaborate effectively with product manager

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You'll Do: Deploy, configure, and maintain Kubernetes clusters for our microservices architecture. Utilize Git and Helm for version control and deployment management. Implement and manage monitoring solutions using Prometheus and Grafana. Work on continuous integration and continuous deployment (CI/CD) pipelines. Containerize applications using Docker and manage orchestration. Manage and optimize AWS services, including but not limited to EC2, S3, RDS, and AWS CDN. Maintain and optimize MySQL databases, Airflow, and Redis instances. Write automation scripts in Bash or Python for system administration tasks. Perform Linux administration tasks and troubleshoot system issues. Utilize Ansible and Terraform for configuration management and infrastructure as code. Demonstrate knowledge of networking and load-balancing principles. Collaborate with development teams to ensure applications meet reliability and performance standards. Who you are: Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University. 2+ years of experience in a Site Reliability Engineer role or similar. Proven experience with Kubernetes, Git, Helm, Prometheus, Grafana, CI/CD, Docker, and microservices architecture. Strong knowledge of AWS services, MySQL, Airflow, Redis, AWS CDN. Proficient in scripting languages such as Bash or Python. Hands-on experience with Linux administration. Familiarity with Ansible and Terraform fo

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You’ll Do: We are looking for a Software Engineer to help build and scale our core backend systems and data infrastructure. In this role, you will work hands-on to develop the foundational data pipelines, storage solutions, and robust architectures that drive our healthcare advertising solutions and support our core products, reporting APIs, and analytics initiatives. This is an excellent opportunity for a growth-oriented engineer to work with massive datasets, modern cloud technologies, and cross-functional teams to deliver high-performance, fault-tolerant solutions. Build & Operate: Develop, test, and maintain highly reliable, scalable, and cost-optimized distributed systems and data architectures. Enable Self-Service Data: Create automated ingestion, storage, and transformation pipelines that make it simple for downstream users to access and utilize new datasets. Empower Machine Learning: Design and operate data pipelines specifically tailored to support the complex workflows of our Data Scientists and Machine Learning Engineers. Drive Operational Excellence: Help implement and champion DataOps and DevOps practices across the team to ensure system reliability and smooth deployments. Contribute to Best Practices: Play an active role in establishing and refining formal data practices, architectures, and engineering standards for the organization. Cross-Functional Collaboration: Partner effectively with business stakeholders,

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role Summary We are seeking a highly skilled Test Staff Engineer with deep expertise in Firewall/Security testing and strong hands-on automation . This role requires technical leadership, end-to-end ownership of test strategy for assigned components, and building scalable automation and test tools to ensure high-quality SonicOS releases. Key Responsibilities Own test strategy, planning, execution, and quality sign-off for SonicOS components Architect, develop, and maintain automation frameworks, pipelines, and test tools Drive an automation-first regression strategy and improve overall test coverage Perform complex system, integration, and upgrade/downgrade testing Partner with Dev/PM in design reviews, scrums, and defect triage Lead root-cause analysis and validation of critical customer issues Mentor engineers; review test plans, automation design, and coverage Drive release readiness, escape analysis, and quality metrics Must-Have Skills Minimum 4+ Years of experience in QA and Automation Strong Networking: TCP/IP, Routing, NAT, VLANs, Firewall policies Firewall/Security: VPN, DPI/App Control, IPS, Gate