Zoho ONE Jobs in Bengaluru

Application Support Engineer I Location: Bangalore Experience: Up to 2+ Years About Tekion Tekion is revolutionizing the automotive industry with the first cloud-native automotive platform, transforming an ecosystem that hasn t seen major innovation in over 50 years. Our Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC) connect OEMs, dealerships, consumers, and partners through one seamless platform. Leveraging big data, AI, and machine learning, Tekion delivers the best automotive retail experiences across North America, Asia, and Europe. Role Overview We are looking for an enthusiastic Application Support Engineer I who loves challenges, enjoys problem-solving, and is passionate about delivering exceptional customer experiences. You will act as a subject matter expert in your domain, supporting our dealership clients, coordinating technical issues, and ensuring the support team follows processes and delivers solutions effectively. Key Responsibilities Take ownership of customer-reported issues and ensure problems are resolved end-to-end. Research, diagnose, troubleshoot, and identify solutions to resolve system and application issues. Follow standard escalation procedures for unresolved issues and coordinate with internal teams. Understand applications both functionally and technically. Use internal databases and external resources to provide accurate technical solutions. Ensure all issues are properly logged and tracked. Prioritize and manage multiple open issues simultaneously. Prepare accurate and timely reports on support activities. Document technical knowledge in notes, manuals, and knowledge bases. Support rotational shifts as required. Required Skills & Experience 0 2+ years of experience in application, production, or product support. Advanced knowledge of SQL, MongoDB, and basic network configurations. Strong understanding of databases, APIs, and coding fundamentals. Ability to learn and master company-specific software. Strong problem-solving skills and attention to detail. Excellent written and verbal communication skills. Ability to diagnose and address application-related issues effectively. Understanding of IoT and software systems is a plus. Be the first point of contact for dealership clients, ensuring their technical issues are resolved quickly. Play a key role in improving customer satisfaction by providing accurate and timely solutions. Contribute to a knowledge-sharing culture through documentation and process improvements. Work in a collaborative, agile environment alongside cross-functional teams on challenging projects.

Customer Support Engineer I CRM Location: Bangalore About Tekion Tekion is transforming the automotive retail industry with the first cloud-native platform, including: Automotive Retail Cloud (ARC) for dealerships and retailers Automotive Enterprise Cloud (AEC) for manufacturers and large enterprises Automotive Partner Cloud (APC) for technology and industry partners The platform leverages Big Data, Machine Learning/AI, and IoT to deliver seamless, intuitive solutions connecting OEMs, dealers, and consumers. Tekion employs ~3,000 people globally and emphasizes innovation, entrepreneurial spirit, and collaboration. Role Overview As a Customer Support Engineer I CRM, you will provide end-to-end customer support for Tekion s cloud platform. You will be responsible for resolving technical issues, documenting solutions, and ensuring an excellent customer experience. Core Responsibilities Take ownership of customer-reported issues and see them through to resolution. Research, diagnose, troubleshoot, and identify solutions to system issues. Follow standard procedures for proper escalation of unresolved issues to internal teams. Understand the application both functionally and technically. Reference internal databases and external resources to provide accurate technical solutions. Ensure all issues are properly logged in the system. Prioritize and manage multiple open issues simultaneously. Prepare accurate and timely reports. Document technical knowledge in the form of notes, manuals, and guides. Required Skills Experience as an Application, Product, or Customer Support Engineer. Ability to quickly learn and master employer-specific software. Strong problem-solving skills for complex technical issues. Excellent written and verbal communication skills. Ability to diagnose and address application issues efficiently. Basic understanding of IoT and software (preferred but not mandatory). Comfortable working rotational shifts. Hands-on experience with chat or ticketing tools for customer interaction.

iOS Developer Location: Bangalore Job Type: Full-time Responsibilities iOS App Development Build advanced consumer and enterprise iOS mobile applications. End-to-End Involvement Participate in the entire product life cycle: requirements gathering, solution design, development, testing, implementation. User Experience Focus Actively interpret analytics and customer data to improve user experience. Team Collaboration Work closely with teams from Engineering, Creative Marketing, and Customer Advocacy. Required Skills and Experience Experience: 4+ years of iOS development experience. Proficiency in Swift and/or Objective-C. Technical Expertise: Experience with REST web services and third-party libraries/APIs. Built or contributed to at least one iOS app. Multithreading: Strong understanding of multithreading principles and best practices. Problem-Solving: Excellent debugging and troubleshooting skills. Communication: Strong verbal and written communication and collaboration skills. Bonus Skills Experience with continuous integration for mobile apps. Experience in the automotive industry (optional, but a plus). Work on cutting-edge technology with a dynamic team. Collaborate in a fast-paced environment to shape the future of iOS applications. Innovative culture that encourages continuous learning and professional development.

QA Engineer Experience: 3 5 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod (Security Podium) is a cybersecurity technology company headquartered in India and the USA. Founded in 2008, SecPod builds innovative security products that help organizations adopt a prevention-first approach to cybersecurity. Role Summary We are looking for a highly motivated QA Engineer with strong expertise in test automation to ensure the quality, reliability, and performance of our cybersecurity products. The role involves owning end-to-end test automation and continuously improving quality processes across the development lifecycle. Key Responsibilities Automation Ownership: Own the design, development, execution, and maintenance of automated test suites. Framework Building: Build and maintain automation frameworks for Web applications, Desktop applications, and REST APIs. Regression Testing: Continuously evaluate test cases for regression coverage and automate newly introduced features. Strategic Testing: Define and implement automation strategies and appropriate test design techniques. Cross-functional Collaboration: Work with Development Leads, Architects, and Product Management to ensure high-quality deliverables. Required Qualifications & Technical Skills Experience: 3 5 years of hands-on experience in test automation. Programming: Proficiency in at least one programming language, preferably Python. Testing Foundations: Strong understanding of the Software Testing Life Cycle (STLC). Automation Expertise: Experience in building and maintaining frameworks for UI and REST API automation. DevOps & Tools: Practical experience with CI/CD pipelines (Jenkins), Test Management, and Defect Tracking tools. System Knowledge: Familiarity with web technologies (HTTP, REST), database concepts, and both Linux and Windows environments. Preferred & Non-Technical Skills Domain Knowledge: Experience in the cybersecurity domain or networking is a strong plus. Soft Skills: Strong analytical and problem-solving skills with a research-oriented approach. Agile Mindset: Ability to adapt quickly to change and collaborate effectively in a team environment. Education: Bachelor s or Master s degree (BE / MCA / M.Tech). Qualification : Bachelors or Masters degree (BE / MCA / M.Tech)

Senior Product Designer Location: Bengaluru About Us: Observe.AI Observe.AI is a leading AI-powered platform transforming customer experience through intelligent automation. Our platform enables enterprises to deploy AI agents that seamlessly manage customer interactions, providing natural, human-like conversations with predictable outcomes. By combining advanced speech understanding, workflow automation, and enterprise-grade governance, Observe.AI enhances both human and AI agent performance. Our clients, including DoorDash, Affordable Care, Signify Health, and Verida, rely on Observe.AI to revolutionize their customer experiences, accelerating service delivery, boosting operational efficiency, and building stronger customer loyalty across all communication channels. As a member of the Product Design Team, you ll collaborate with a diverse group of talented individuals. We are committed to cultivating a strong design culture one that emphasizes collaboration, mentorship, and design excellence. Here, your work will directly influence product strategy, improve workflows, and help set new industry standards for user experience. As a Senior Product Designer, you ll play a pivotal role in shaping the user experience and interface of our products, bringing designs to life that empower our users and push the boundaries of the AI-powered solutions we deliver. What You ll Be Doing: Lead Design Solutions: Take ownership of design projects across multiple product areas, creating scalable and flexible design systems that enhance user experiences. Product Vision & Strategy: Help refine and define the long-term design direction of our products, working both independently and collaboratively with cross-functional teams to set strategic design goals. User Research & Data-Driven Design: Utilize qualitative and quantitative research to inform design decisions, ensuring solutions effectively meet user needs and solve real-world problems. Visual & Interaction Design Excellence: Create polished, high-quality, visually appealing, and user-friendly designs. Consider accessibility, responsiveness, and edge cases to ensure optimal usability. Design Systems Contribution: Help evolve and improve our design systems, contributing to consistency and efficiency across Observe.AI s platform. Cross-Functional Collaboration: Work closely with product managers, engineers, and other stakeholders to ensure seamless execution from initial concept to final implementation. Mentorship & Leadership: Guide and mentor junior designers, sharing expertise and fostering a culture of design excellence within the team. What You ll Bring to the Role: 7-9+ years of experience in UX/UI or Product Design, with a strong portfolio demonstrating impactful design work across complex projects. Experience designing Large Language Model (LLM)-powered products such as chatbots, voicebots, or other AI-driven solutions. Domain knowledge in the Contact Center Industry, with an understanding of its unique challenges and user needs. Expertise in user-centered design, interaction design, and usability best practices. Experience contributing to or building design systems and scalable UI frameworks. Ability to simplify complex problems into clear, elegant solutions with a solid understanding of information architecture and workflow design. Strong storytelling and communication skills, with the ability to present design rationale and influence stakeholders at all levels of the organization. Experience conducting user research, analyzing data, and using insights to drive product improvements. A proactive, self-starter mindset able to drive projects independently while collaborating effectively with cross-functional teams. Compensation, Benefits, and Perks: Medical Insurance: Comprehensive coverage, including free online doctor consultations. Leave Policies: Generous annual leave (national & festive holidays), privilege leave, sick leave, and parental leave. Learning & Development: A dedicated fund to support your continuous learning and professional growth. Flexible Benefit Plans: Tax exemptions (e.g., Meal card, PF) to optimize your benefits. Cultural Engagement: Fun events to build team culture and foster a strong work environment. How to Apply: To be considered for this role, please submit your resume and portfolio through our career portal or LinkedIn. If your portfolio requires a password, please provide it. We are particularly interested in seeing: Clear problem definitions based on research. Your creative process for developing solutions. Strong rationale behind design decisions. Polished UI & interaction designs that address defined problems.

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Finance Executive Location: Bengaluru Employment Type: Full-time About Us Exotel is one of Asia's largest customer communication platforms. Our mission is to move enterprise customer communication to the cloud. In 2020, we powered over 4 billion calls and connected more than 320 million people. We work with innovative companies like Ola, Swiggy, Zerodha, Whitehat Jr, Practo, Flipkart, and GoJek, as well as top banks across the country. Join us in transforming how companies manage and engage with customers. What We Look For We are looking for a Finance Executive with a strong background in revenue accounting, invoicing, contract validation, and ERP systems. If you have experience in contract management and a strong understanding of sales CRM, we would love to hear from you. Ideal Candidate Education: B.Com or MBA in Finance Experience: 2-4 years in revenue/invoicing accounting, contract validation, and financial operations. Skills: Proficiency with Sales CRM and ERP systems Strong academic foundation in finance or accounting Detail-oriented with strong analytical skills Ability to work under pressure with tight deadlines Strong communication skills for regular business interaction What You Will Do As a Finance Executive, you will be responsible for ensuring that all contracts, bill plans, and customer creation activities are validated and accurate. Your work will directly impact the financial integrity of the organization. Key responsibilities include: Contract Validation: Ensure that all customer records in the system have valid contracts and the most up-to-date billing plans. Confirm contract terms align with billing plans for each customer. Bill Plan Validation: Ensure bill plans are validated in the CRM before customer approval and billing processing. Customer Creation: Approve new customer accounts after confirming all contract and billing information is valid. Credit Approval: Verify the requirements for credit approval and approve changes as necessary, based on contract validation and internal checks. Changes to Bill Plans: Approve any changes to customer billing plans after ensuring the correct contract and customer validation. Internal Controls: Ensure strong internal controls (IFC) are followed for financial operations, and ensure compliance with company standards. Collaboration: Work closely with the business team to resolve any issues, escalations, or discrepancies related to billing and contracts. Establish and maintain a regular cadence with the business teams to ensure smooth operations. Innovative Work Environment: You ll be part of a fast-growing company working with some of the largest names in the industry, building next-gen customer communication tools. Career Growth: At Exotel, we believe in investing in your personal and professional growth with opportunities for career development and skill enhancement. Dynamic Culture: We are a collaborative and inclusive team that encourages innovation, transparency, and ownership. If you're excited to be part of a dynamic, fast-growing team at Exotel and you have the right experience and skills for the role, apply now! We look forward to having you on our team. Qualification : B.Com or MBA in Finance

Business Development Manager Oleo Chemicals Location: Bangalore Experience: 2+ years Work Type: Full-Time About Scimplify Scimplify is a specialty chemicals manufacturing company offering end-to-end solutions from R&D and custom synthesis to large-scale manufacturing and doorstep delivery. Headquartered in Bengaluru, we serve multiple industries including pharmaceuticals, agrochemicals, industrial chemicals, personal care, and fragrances. We enable 500+ businesses across 20+ countries to scale innovative chemicals from lab to commercial production. With over $54 million raised from investors like Accel and Bertelsmann, Scimplify has global operations in India, Japan, USA, UAE, and Indonesia, and a growing team of 250+ professionals. Learn why Forbes recognizes us as one of the top 100 startups in Asia to watch. Role Overview We are seeking a Business Development Manager to drive growth in the Oleo Chemicals segment. The ideal candidate will have a deep understanding of oleo chemical products and applications across personal care, home care, pharmaceuticals, food, lubricants, and industrial chemicals, while building strong client relationships and expanding Scimplify s market presence. Key Responsibilities Identify, develop, and manage new business opportunities in the Oleo Chemicals segment. Build and maintain long-term relationships with key customers, distributors, and channel partners. Conduct market research to analyze trends, competitor activities, and customer needs. Develop sales strategies, pricing models, and business plans to achieve revenue targets. Collaborate with supply chain, R&D, and operations teams to ensure smooth delivery and customer satisfaction. Represent Scimplify in trade shows, exhibitions, and industry networking events. Provide market intelligence and customer feedback to inform product portfolio and strategy. Track and report sales performance, pipeline, and forecasts to leadership. Qualifications & Skills Bachelor s degree in Chemistry, Chemical Engineering, or related field (MBA preferred). 3 years of proven experience in Business Development/Sales in Oleo Chemicals or Specialty Chemicals. Strong understanding of oleo chemical products (fatty acids, fatty alcohols, esters, glycerine, etc.) and their end-use industries. Established network of clients and distributors in the sector is highly desirable. Excellent negotiation, communication, and presentation skills. Strong analytical mindset, able to convert insights into actionable business plans. Self-motivated, target-driven, and comfortable in a fast-paced startup environment. Benefits & Perks Travel & Mobility: Corporate Uber/MMT, relocation & transfer support, travel policy. Insurance & Wellness: Family health coverage (up to 5 members, 5 L), Employee Assistance Program, onsite medical, emergency support, online doctor consultation. Lifestyle & Engagement: Monthly outings, corporate dinners, parties, trips, parental support (maternity/paternity, daycare). Retirement & Financial: Employee PF contribution, flexible PF, NPS, car lease, salary advance policy. Qualification : Bachelors degree in Chemistry, Chemical Engineering or related field (MBA preferred)

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Senior Manager Full Stack Engineering Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we blend the agility of a startup with the scale of a Fortune 100 company. Our technology teams drive transformation across banking by building next-generation financial products that are secure, user-centric, and powered by cutting-edge engineering practices. We are makers, breakers, doers, and thinkers working together to reinvent consumer finance through technology, modern design, and data science. As a company that builds its own software and platforms, we re constantly innovating to help over 65 million customers bank better. About the Role As a Senior Manager Full Stack Engineering, you ll lead multiple teams building highly available, scalable, and secure platforms and applications. You ll be at the forefront of technical design, architecture, and implementation, helping your teams deliver impactful solutions across web, mobile, backend services, and cloud infrastructure. This is a hands-on leadership role ideal for an experienced engineering leader who still loves to write code, mentor engineers, and contribute directly to architecture and product evolution. What You ll Do Lead full-stack engineering teams delivering cross-functional, multi-platform applications using modern cloud and open-source technologies. Own end-to-end technical design, architecture decisions, and delivery strategy for critical systems. Partner with architects, product managers, and cross-functional leaders to understand requirements, prioritize needs, and develop scalable solutions. Guide and mentor engineers, driving technical excellence, performance, and career growth across teams. Drive Agile delivery, ensuring projects meet timelines and quality standards while promoting DevOps best practices. Champion and enforce best practices in secure coding, architecture, compliance, and accessibility. Collaborate with internal and external stakeholders to align technology vision with business goals. Manage full software development lifecycle: planning, estimation, implementation, deployment, and support. Foster a culture of engineering excellence, continuous learning, and experimentation. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or a related field 8+ years of experience in software development, with a focus on full-stack systems 5+ years of experience managing software development teams through full release cycles Proven track record of leading Agile teams and delivering high-impact technology projects 5+ years of people management experience, including mentoring and team scaling Preferred Qualifications Master s Degree in Computer Science, Engineering, or Business 10+ years of software engineering experience in large-scale, distributed systems 6+ years of experience applying Agile methodologies (Scrum, Kanban, SAFe) Hands-on experience with some or all of the following: Languages: Java, Python, Go, JavaScript, Node.js Frontend: React, AngularJS, HTML5, CSS Cloud: AWS, Azure, GCP (AWS preferred) DevOps: CI/CD, Docker, Kubernetes, Terraform Databases: NoSQL (MongoDB, Cassandra), SQL, Redshift, Snowflake Strong understanding of accessibility standards and building inclusive digital products Experience with Big Data, event-driven architectures, and RESTful APIs Passion for mentoring, technical excellence, and building diverse, high-performing teams Join a team that's redefining how software powers banking Build next-gen cloud-native applications from scratch Work on meaningful problems with direct customer impact Thrive in a collaborative, transparent, and inclusive culture Access top-tier learning opportunities, technical conferences, and internal mentorship Qualification : Masters Degree in Computer Science, Engineering, or Business

Territory Account Executive IT/ITES | Bangalore, India Full-Time | Sales | Salesforce Drive New Business Growth & Strategic CRM Initiatives Across India s IT/ITES Sector Salesforce, the global leader in AI-powered CRM and cloud solutions, is looking for a high-performing Territory Account Executive to expand our footprint in the India IT and ITES Growth Business segment. If you re a driven hunter with a passion for cloud technology and strategic selling, this is your chance to join a purpose-driven company that empowers customers and employees alike. As the Customer Company, we are committed to transforming businesses with AI, Data, and CRM, while living our core values. We invest in your career growth and enable you to become a Trailblazer charting new paths and driving meaningful impact. Key Responsibilities Develop and nurture strong relationships within India s Enterprise Business segment, focusing on IT and ITES customers Lead complex sales cycles, presenting Salesforce s enterprise cloud solutions to C-level executives and key decision makers Generate new business opportunities while expanding existing customer accounts to increase Salesforce adoption Accurately forecast sales activities and revenue in Salesforce CRM Deliver impactful product demonstrations via web and in-person presentations Collaborate with internal teams including sales support and pre-sales to drive deal success 8+ years of proven success in quota-carrying software or technology sales, preferably in business applications Track record of consistently exceeding sales targets, ranking in the top 10% of performers Experience managing complex sales cycles and closing significant deals within India Ability to create customer value and negotiate volume deals Degree or equivalent professional experience (including leadership roles, military service, or volunteer work) Preferred Skills & Qualifications Strong verbal and written communication skills, with the ability to influence senior stakeholders Previous sales methodology training (e.g., SPIN, Challenger, MEDDIC) is a plus Familiarity with CRM platforms and tools (Salesforce experience preferred) Comfortable working in a fast-paced, collaborative team environment Proficient with Microsoft Office Suite including Word, PowerPoint, and Excel Proven ability to build and maintain strong customer references Join us to sell the leading enterprise cloud CRM, collaborate with world-class teams, and help customers across India leverage AI and cloud technologies to transform their business. Qualification : Degree or equivalent professional experience (including leadership roles, military service, or volunteer work)

Customer Experience Manager II (EST Shift Bangalore, India) Location: Bangalore, India Work Shift: EST (5:30 PM IST 2:30 AM IST) Job Type: Full-Time | Customer Support | Cloud Technology Job Overview We are looking for a highly motivated and experienced Customer Experience Manager II to join our dynamic Customer Support team. In this role, you will be responsible for managing strategic enterprise accounts, ensuring superior customer satisfaction, and driving proactive customer success strategies. You will serve as the primary point of contact (POC) for customer escalations, technical issues, and account health, while ensuring Rubrik delivers a world-class customer experience in the cloud data management space. Key Responsibilities Build strong relationships with key customer stakeholders and deliver a seamless support experience. Act as the escalation owner and trusted advisor for complex technical and service-related issues. Train customers on how to engage with Rubrik s support portal, submit tickets, and track issues effectively. Utilize Salesforce CRM to monitor account health and detect patterns that may lead to service disruptions. Proactively identify risks and initiate actions to drive customer retention and account stability. Collaborate with cross-functional teams including Engineering, Technical Support, and Sales Engineering. Create and deliver Root Cause Analysis (RCA) documentation and customer-facing status updates. Work closely with internal teams to ensure timely issue resolution and a proactive support approach. Lead project management activities during critical incidents and escalations. Deliver weekly performance and progress reports to internal stakeholders and customer teams. Qualifications and Skills Minimum 8 years of experience in customer experience management, technical support leadership, or enterprise account management roles. Proficiency with CRM platforms, especially Salesforce. Strong communication skills with the ability to deliver clear written documentation and customer updates. Hands-on technical knowledge in: Networking protocols Data storage systems Backup and disaster recovery solutions Cloud platforms (e.g., AWS S3, Microsoft Azure) Hypervisors (VMware, Hyper-V) Experience managing virtual cross-functional teams in a high-pressure environment. Proven ability to handle customer escalations and implement preventive measures. Familiarity with storage vendor ecosystems and best practices in enterprise IT environments. Bachelor s degree in Computer Science, IT, Business, or related field (Advanced degree is a plus). Willingness to travel for client engagements and team collaboration as needed. Preferred Competencies Background in cloud computing, SaaS support, or data protection technologies. Certifications in project management or cloud platforms (e.g., AWS, Azure). Ability to lead with a customer-first mindset and ensure customer loyalty through proactive engagement. Join Rubrik and be part of a company at the forefront of cloud data security, backup solutions, and customer-centric innovation. You ll work with leading technologies, support high-value enterprise clients, and help shape the future of data management in the cloud.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Job Title: Zoho Developer Location: Rajkot, Gujarat, India Roles and Responsibilities: Zoho Customization Specialist: Customizing Zoho products (CRM, Creator, Books, Projects, etc.) to align with business needs. Creating and modifying workflows, layouts, and fields in Zoho applications. Zoho Integrator: Integrating Zoho products with third-party applications using APIs. Setting up and managing seamless data flows between systems. Application Developer: Building custom applications using Zoho Creator. Developing automation scripts and workflows using Deluge (Zoho's scripting language). Support Analyst: Troubleshooting issues in Zoho products and implementing fixes. Providing technical support to end users. Business Analyst: Collaborating with stakeholders to gather requirements and understand business processes. Translating business needs into Zoho configurations and customizations. Data Manager: Handling data migration to or from Zoho applications. Ensuring data integrity and security during system updates and changes. Qualifications: Bachelor's degree in Business, Information Technology, or a related field. Proven experience with Zoho CRM and Zoho Creator. Strong understanding of CRM best practices and data management. Proficiency in scripting (Deluge, if applicable) and integration techniques. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Preferred Skills: Experience in project management or agile methodologies. Familiarity with other Zoho products (e.g., Zoho Books, Zoho Projects). Certifications in Zoho CRM or Creator are a plus. Education: Bachelor's (Required) Qualification : Bachelor's degree in Business, Information Technology, or a related field.

Global Analytics Product Owner At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story. This position reports to Global Analytics Delivery Leader Your role and responsibilities In this role, you will have the opportunity to provide technical and business process/data advice to support ongoing operations and new software development. Each day, you will utilize your knowledge on systems, procedures, and emerging technologies. You will also showcase your expertise by overseeing the development, and validating the functionality, of the final product. The work model for the role is #LI #Onsite This role is contributing to the Electrification area in India. You will be mainly accountable for: Effectively driving E2E Analytical Project Execution which includes functional planning, technical solutioning, ETL development, Data visualization output, UAT & Go Live. Driving regular communication with team members to determine the status of various project milestones and potential roadblocks that need to be resolved. Driving crisp communication with key Business stakeholders to ensure clear linkage between project objectives and EL Business strategic initiatives. Proactively covering Issue Identification & resolution to ensure project is on track. Proficient in cost estimation, resource allocation and attrition management for project team. Effectively driving quality assurance within the technical team to ensure on time, actionable, First time right solutions to the Business. Encourage, Inspire & indulge team members to ensure that they are rightly motivated to deliver critical tasks on time. Manage complete documentation of the project from planning to Operations handover phase. Partner with senior leaders to build delivery roadmap for all projects within a specific Analytical product. Qualifications for the role 10 years of overall work experience as Product Owner/Product Manager. Prior experience as a Functional Analyst or Business Analyst in atleast one domain [Finance, Sales, Operations, Logistics, Manufacturing etc.]. Should be PMP, SAFe5 POPM, CSPO & ITIL certified with optional certification in CSM & PSPO I. Proficient in DevOps and any of the prevalent PM tools (Trello, Zoho Projects, Teamwork, Moday.com Asana, Basecamp, Toggl Plan etc.). Proficiency in Stakeholder management, Business Process Management & Team management. Preferred experience in Managing E2E Analytical projects in Snowflake. Education: ME/ M.Tech./ MS (Engg/ Sciences) and BE/BTech (Engineering). Industry: Manufacturing/Industrial. Qualification : ME/ M.Tech./ MS (Engg/ Sciences) and BE/BTech (Engineering).