Cloud Data Platform Jobs in Gurgaon

Job Title: Computer Vision Researcher (3D) AI & Deep Learning | Spyne (Gurgaon) Location: Gurgaon, India | Work Mode: Full-Time, Onsite | Experience: 1 3 Years Keywords: Computer Vision Jobs India, Deep Learning Researcher, GAN Engineer, AI Research Jobs, ML Engineer, Generative AI Careers About Spyne Spyne is transforming the future of automotive retail with next-gen Generative AI. From AI-powered car visuals to a full-stack ecosystem for online vehicle commerce, we re enabling dealerships to create, price, and market inventory faster and smarter. Backed by $16M Series A funding from top VCs like Vertex Ventures and Accel Rapid expansion across the US and EU markets Achieved 5x revenue growth in 15 months aiming for another 3-4x in 2025 Leading the GenAI wave with AI-driven sourcing, pricing, CRM, and Agentic AI tools Role Overview: Computer Vision Engineer / Researcher We re hiring a passionate Computer Vision Engineer (3D) to join our Research & AI Product team. You ll work on state-of-the-art deep learning models especially GANs to develop and deploy scalable image processing and enhancement pipelines across automotive, e-commerce, food, and real estate domains. You ll play a pivotal role in building innovative AI-powered products that impact millions of images and videos, optimizing workflows for global businesses. Key Responsibilities Research & Experimentation Stay up to date with cutting-edge publications in AI, Computer Vision, and Deep Learning. Prototype innovative approaches from top-tier conferences (CVPR, NeurIPS, ICCV). AI Model Development & Deployment Train, fine-tune, and deploy models for image enhancement, segmentation, and classification using PyTorch/TensorFlow. Work on GAN Architectures Develop and optimize Generative Adversarial Networks (GANs) for image inpainting, background removal, super-resolution, and 3D scene generation. Scalable AI Infrastructure Collaborate with MLOps and Data Engineering teams to build robust AI pipelines on cloud platforms (AWS, GCP, Azure). Cross-Team Collaboration Work closely with Product Managers, Software Engineers, and Data Scientists to align AI capabilities with business goals. Mentorship & Guidance Contribute to a culture of innovation by mentoring junior researchers and participating in peer reviews. Requirements & Qualifications Education & Experience B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred) 1 3 years of hands-on experience in Computer Vision, AI model development, and Deep Learning Technical Skills Deep Learning Frameworks: Strong expertise in PyTorch or TensorFlow Generative Models: Proven experience with GANs for real-world use cases Programming: Proficiency in Python, plus experience in C++ or C# Image Processing Libraries: OpenCV, PIL, NumPy, Scikit-image Cloud Platforms: Hands-on experience deploying models on AWS, GCP, or Azure Research Mindset: Ability to implement novel ideas from AI research papers into practical solutions Soft Skills & Work Ethic Strong analytical and problem-solving capabilities Excellent communication and collaboration skills Comfort in a high-performance, office-first environment (5 days/week) Familiarity with Agile, Git, Jira, and collaborative development tools At Spyne, we empower careers not just fill positions. People-First Culture: Supportive team, open communication, and trust Career Acceleration: Fast growth with performance-based promotions and ownership opportunities Health & Insurance Benefits: Comprehensive GMC, GPA, GTLI coverage for employees and families Continuous Learning: Access to LinkedIn Learning, in-house mentorship, and AI research projects Work from Office Advantage: Real-time innovation, mentorship, and collaboration at our Gurugram HQ Competitive Salary + Equity: High-impact role with potential for stock options If you're excited to work on groundbreaking AI + 3D computer vision products, thrive in a startup environment, and want to shape the future of AI-powered automotive retail, we want to hear from you. Apply now and be part of Spyne s journey as we redefine how the world sees and sells cars! Qualification : B.Tech / M.Tech in Computer Science, Artificial Intelligence, or related field (Tier 1 or Tier 2 institute preferred)

Job Title: Senior Data Engineer Location: Gurugram, Haryana, India Company: Builder.ai About Builder.ai At Builder.ai, we re transforming software development so that anyone regardless of technical expertise or budget can bring their software ideas to life. From startups to global enterprises like BBC, Makro, and Pepsi, we ve empowered thousands of customers around the world. With over $450M in Series D funding, including backing from Microsoft and QIA, and recognition from Fast Company as one of 2023 s Most Innovative Companies in AI, we are scaling rapidly and redefining what s possible in software and AI. Life at Builder.ai We believe in experimentation, ownership, and constant improvement. Our team of 800+ is spread across the globe but united by our shared HEARTT values: Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency. We reward your skills with: Stock options in a hyper-growth company International offsites Unlimited learning opportunities A culture that values diversity, innovation, and impact About the Role As a Senior Data Engineer, you'll be a foundational part of our growing Data & Analytics team. We're not just building pipelines we're engineering the data backbone for an entire platform that powers AI-driven software creation, operational intelligence, and customer solutions. This role will focus on building robust, scalable, and efficient data systems, and working with Data Scientists, Analysts, and Software Engineers to ensure our data infrastructure is best-in-class. What You ll Be Doing Own and operate end-to-end data pipelines across critical business domains Optimize compute, storage, and query performance using modern big data technologies Manage and evolve our CI/CD workflows and data infrastructure Improve data accuracy, integrity, and reliability for mission-critical datasets Collaborate with cross-functional teams (Analytics, AI, Product) to deliver business value Drive best practices in data engineering, architecture, and tooling Lead projects independently while clearly communicating with stakeholders on timelines and expectations Mentor junior data engineers and contribute to a strong data culture Must-Have Experience: Expert in ETL orchestration tools (e.g., Dagster, Airflow, Luigi) Proficient in SQL databases (e.g., Snowflake, PostgreSQL) Deep understanding of big data systems (e.g., Spark, Hadoop, Hive) Strong programming in Python Experience with DBT and data modeling best practices Deep experience with cloud platforms (especially Azure) Familiarity with streaming data systems (e.g., Kafka, Kinesis) Exposure to MLOps and experience delivering clean, usable datasets to AI/ML teams Experience with CI/CD and Agile environments Nice to Have: Background in ML infrastructure or knowledge graphs Experience working in product-led B2B/SaaS organizations Contributions to open-source data tools What You ll Get Quarterly discretionary performance pay Stock options in a $450M-funded scale-up 24 days annual leave + public holidays 2 Builder Family Days + Christmas/New Year break Fully covered private medical insurance Free lunch at our Gurugram HQ Referral bonus scheme Trips abroad and global collaboration Why You Should Join If you re ready to build world-class data systems that power AI at scale, and want to help shape how software will be built in the future this is your moment. Apply today and transform the way software is created one data pipeline at a time.

About KPMG in India KPMG in India is a leading professional services firm, a member of KPMG International Limited. Established in August 1993, KPMG India is known for delivering high-quality services, supported by our global network and in-depth knowledge of local regulations, markets, and competition. With offices across key cities such as Ahmedabad, Bengaluru, Chennai, Gurugram, Hyderabad, Mumbai, Noida, and more, we provide comprehensive services to national and international clients across diverse sectors. We focus on offering industry-specific, technology-driven solutions that are rapid, performance-oriented, and rooted in our deep understanding of both global and Indian business landscapes. About Lighthouse Lighthouse, KPMG's Big Data, AI & Analytics practice, specializes in providing advanced solutions in Data Engineering, Data Science, Data Visualization, and Process Analytics. With a strong industry focus, we drive innovation and deliver transformative results for our clients. Role Overview We are seeking a skilled professional to join our team, where you will play a key role in designing, developing, and implementing enterprise-level applications using Snowflake. The role will involve working with cutting-edge data technologies to ensure the efficient flow, processing, and visualization of data. Key Responsibilities Design and Develop Snowflake Solutions: Build and deploy enterprise-scale applications leveraging Snowflake, optimizing for both performance and scalability. Create and Manage Data Pipelines: Use DBT to develop, test, and deploy data pipelines ensuring seamless data flow and processing. SQL Query Optimization: Develop and fine-tune SQL queries to enhance performance and scalability of applications. Security & Access Management: Implement identity and access management features and create robust authorization frameworks to ensure secure access controls. Troubleshoot Performance Issues: Address and resolve performance and scalability challenges within the Snowflake environment. Collaborative Solutions Development: Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver data-driven solutions. Maintenance & Improvement: Maintain and optimize existing Snowflake infrastructure and processes to ensure continued efficiency. Stay Updated: Continuously improve skills and knowledge by staying abreast of new Snowflake features and industry best practices. Qualifications Educational Requirements: BE/B.Tech/ME/M.Tech/MCA or any relevant degree. Equal Opportunity Employment (EOE) KPMG India is committed to providing equal employment opportunities to all applicants and employees, regardless of color, caste, religion, gender, age, national origin, citizenship, sexual orientation, gender identity or expression, disability, or other legally protected status. We embrace diversity and encourage you to voluntarily submit demographic details to help us in our diversity initiatives. Please note that submitting this information is entirely voluntary and will not affect your application in any way. Qualification : BE/B.Tech/ME/M.Tech/MCA or any relevant degree.

About KPMG in India KPMG in India is a professional services firm, affiliated with KPMG International Limited. Established in August 1993, KPMG India leverages its global network of firms while being deeply knowledgeable about local laws, regulations, markets, and competition. We have offices across India in cities including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Our services cater to both national and international clients across various sectors. We are committed to providing rapid, performance-oriented, industry-focused, and technology-enabled services that combine a deep understanding of both global and local industries, along with our extensive experience in the Indian business environment. Role: Snowflake + AWS Expertise Job Description: This role involves working with Snowflake and AWS platforms, focusing on providing scalable, high-performance solutions. The ideal candidate will help deliver industry-leading data solutions by leveraging these powerful platforms. Equal Employment Opportunity (EEO) Information KPMG India is an equal opportunity employer, committed to providing opportunities to all applicants and employees, regardless of color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability, or any other legally protected status. We value diversity and encourage you to voluntarily submit demographic information to help us with our diversity efforts. Please note that providing this information is optional and will not affect your application in any way. Qualifications: Educational Requirements: B.E. or equivalent degree. Qualification : B.E. or equivalent degree.

Job Description: We are seeking a Data Engineer experience in data and analytics, proficient in big data technologies, data architecture, and customer-focused solutions. The ideal candidate will design and implement data pipelines, data lakes, and visualization solutions to create business value. Software Requirements: AWS Redshift Kubernetes Spark Python SQL DBT Dataiku Overall Responsibilities: Design and implement data pipelines, data lakes, and visualization solutions to create business value. Develop and maintain big data solutions using technologies like AWS Redshift, Kubernetes, Spark, Python, SQL, DBT, and Dataiku. Apply best practices in data architecture, modeling, and metadata management. Analyze and troubleshoot complex data issues, ensuring timely resolution. Collaborate with stakeholders to understand data requirements and deliver customer-focused solutions. Category-wise Technical Skills: Big Data Technologies: Proficiency in AWS Redshift, Kubernetes, Spark, Python, complex SQL, DBT, and Dataiku. Data Architecture & Modeling: Strong understanding of data architecture, modeling, and metadata management. Experience in designing and managing data pipelines and data lakes. Data Analysis & Troubleshooting: Excellent data analytical and troubleshooting skills. Ability to analyze and resolve complex data issues in a timely manner. Experience: 6-8 years of experience in data and analytics. Proven track record of developing and maintaining big data solutions. Day-to-Day Activity: Design, develop, and implement data pipelines and data lakes. Maintain and optimize big data solutions using various technologies. Apply best practices in data architecture and modeling. Analyze and troubleshoot data issues to ensure data integrity and availability. Collaborate with stakeholders to gather requirements and deliver data solutions. Stay updated with emerging trends in data and analytics. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in big data technologies and data engineering are a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Customer-focused approach with the ability to understand and meet stakeholder needs. Attention to detail and strong organizational skills. Ability to work independently and as part of a team. S YNECHRON S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

About Shiprocket: At Shiprocket, we are on a mission to make e-commerce simple, accessible, and trustworthy. We empower e-commerce sellers with AI-driven technology and reliable services, covering everything from conversion and order fulfillment to shipping, customer communication, and returns management. Our platform scales data, workflows, and supply chains, providing sellers with everything they need to deliver an exceptional customer experience. What It s Like to Work at Shiprocket: Our culture is built on the following principles: Key to True Innovation: We thrive under constraints and use them as opportunities to innovate. Speed Above All Else: We prioritize quick decision-making and actions that make the most impact. Be Ruthlessly Frugal: Efficient use of resources drives growth. Say It Like It Is: We value honesty and directness in communication. We re Not A Family, We re A Sports Team: We are here to win and accomplish great things together. Customer-First Mentality: Our focus is always on delivering outstanding experiences for our customers. Role Overview: Shiprocket s Engineering Team is focused on driving innovation and excellence within the e-commerce and logistics industries. We are dedicated to developing cutting-edge technology solutions that empower businesses to scale efficiently, optimize operations, and deliver outstanding customer experiences. With a focus on automation, data-driven decision-making, and seamless integrations, we aim to revolutionize how merchants, customers, and logistics providers interact. We are looking for a Data Analyst with 2-6 years of experience to help support our diverse business units (Finance, Product, Operations, Marketing, etc.) by leveraging insights derived from analyzing large datasets. The ideal candidate will be proficient in data mining, analytical methods, data tools, and model development and implementation. Roles and Responsibilities: Data Preparation & Analysis: Gather and analyze data to generate reports that provide actionable insights to business teams. Support the strategic planning of new AI or data-centric products. Insight Generation: Analyze key metrics and performance indicators to identify the root causes of inefficiencies or defects in processes, helping teams drive improvements. Collaboration with Business Teams: Collaborate proactively with various internal business teams to enhance project outcomes, focusing on optimizing resource utilization and ensuring timely completion. Report Creation: Build and maintain reports that communicate key findings and trends clearly to management, facilitating data-driven decision-making. Continuous Improvement: Recommend and implement improvements based on data insights, contributing to better operational efficiencies. Preferred Skills & Qualifications: Business & Statistical Acumen: Ability to translate business questions into statistical solutions and communicate insights effectively. Data Analytics Proficiency: Expertise in SQL, PL/SQL, BigQuery, and Snowflake. Experience in scripting languages like Python is highly desirable. Analytical Tools & Methodologies: Strong understanding of OLTP/OLAP databases, data analytics tools, and methodologies. Hands-on experience in data mining and statistical modeling. Data Visualization Skills: Experience with tools such as Metabase (preferred) and advanced Excel to present data insights in an accessible format. Cloud Services Knowledge: Familiarity with AWS services is a significant advantage. Problem-Solving: Proactive mindset with the ability to identify challenges and develop practical solutions to improve processes and drive business results. At Shiprocket, we offer a dynamic, fast-paced work environment where you ll have the opportunity to make a significant impact. You'll work alongside a talented team that embraces innovation, prioritizes customer satisfaction, and continuously pushes the envelope to redefine e-commerce logistics.

Who You Are You have successfully worked with large Service Providers, guiding them through their digital transformation journey by establishing strategic engagements and executive-level relationships. With a strong ability to collaborate across extended teams, you drive large, complex deals while effectively communicating the business value of Cisco solutions. You are skilled at working with customers across multiple levels from technical decision-makers to business leaders and have the gravitas to engage C-suite executives (CxOs), leading meaningful discussions that drive impact. Additionally, you excel in partner management, ensuring both Cisco s success and the success of our partners and customers. Your Impact As an Account Solutions Engineer, you will: Develop and propose tailored network solutions for Service Provider Accounts using Cisco s advanced networking technologies, including MPLS, Segment Routing, Broadband Network Gateway (BNG), Routing & Switching, and Optical Networking. Engage with customers to understand their business needs and align solutions to drive their strategic objectives. Collaborate with cross-functional sales teams to create compelling proposals and articulate the business value of Cisco s offerings. Provide technical expertise and consulting in areas such as MPLS, BNG, SDN, Cloud, and next-generation mobile networks (4G/5G). Stay ahead of industry trends and emerging technologies to proactively offer innovative solutions that enhance client networks. Manage long sales cycles, complex negotiations, and multi-stage deployment projects, ensuring seamless solution implementation. Minimum Qualifications 12+ years of sales experience in the Service Provider industry with deep domain knowledge of telecommunications networks and Cisco solutions. MBA from a top business school or equivalent experience. Strong technical expertise in Service Provider IT networks, including cybersecurity, cloud solutions, data centers, software platforms, mobile networks (4G/5G), and enterprise-level IT systems. Experience managing complex, long-term sales cycles, including demand generation, stakeholder management, forecasting, and strategic negotiations. Strong communication, presentation, and negotiation skills, with the ability to engage executive leadership (CxOs), customers, and partners. Cisco Certified Network Associate (CCNA) and/or Cisco Certified Internetwork Expert (CCIE) certification is preferred. Preferred Qualifications A passion for technology, innovation, and customer success. Strong adaptability and resilience in a constantly evolving industry landscape. Ability to apply financial acumen to qualify and assess business opportunities. Experience working with competitive OEMs in the Service Provider technology domain. At #WeAreCisco, we believe in powering a more inclusive, connected, and digital future for all. Our innovations are shaping industries worldwide from healthcare and education to business and public services by providing secure, cutting-edge networking solutions. Global Impact: Nearly every internet connection worldwide touches Cisco technology. People-First Culture: We foster an environment where employees thrive, develop, and grow their careers. Giving Back: Employees receive 10 days off per year to contribute to social causes they re passionate about. Diversity & Inclusion: Our 30+ Inclusive Communities help build an equitable workplace where everyone belongs. We welcome individuality whether you love colorful hair, tattoos, pop culture, or technology be yourself with us! Join Cisco and be a part of the team that s driving digital transformation for the world s leading service providers. Take the next step in your career. Be you, with us! Qualification : MBA from a top business school or equivalent experience.

Job Description: Director of Engineering About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build and run applications anywhere on-premises or across multiple cloud providers. With a global presence and over 175,000 new developers signing up to use MongoDB every month, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview MongoDB is seeking a visionary and strategic Director of Engineering to establish and scale a new engineering organization in our Gurugram office. This role will focus on building a high-performing team dedicated to developing software that enables MongoDB to run seamlessly on any infrastructure at a global scale. Our software and services empower users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes. The primary objective is to enhance and expand our software for managing MongoDB clusters deployed in data centers or private cloud platforms. You will primarily work on Ops Manager and Cloud Manager products, serving enterprise users who deploy large-scale clusters and process massive amounts of data. Operating at the intersection of cutting-edge cloud technologies, distributed systems, and enterprise solutions, you will drive innovation and engineering excellence while delivering high-quality, secure software. This role is based in Gurugram as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: Expert knowledge of enterprise-grade software solutions, with a deep understanding of challenges and best practices in managing complex systems in hybrid cloud and on-prem environments. 10+ years of experience leading software engineering teams, including managing multiple layers of leadership and building teams across distributed locations. Proven track record of defining and executing strategic product visions, mobilizing teams for impactful outcomes, and demonstrating strong ownership and accountability. Experience in building, evolving, and scaling enterprise or B2B software products, particularly in infrastructure management, distributed systems, or database operations, with a focus on performance, security, and reliability. Strong cloud-native expertise, including proficiency with Kubernetes, container orchestration, and modern DevOps practices, to design and deliver scalable and secure solutions. Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences, including global stakeholders and non-technical decision-makers. Commitment to fostering an inclusive and collaborative team environment, mentoring future leaders, and driving organizational growth and success. Proven ability to influence across the organization and collaborate with cross-functional teams to align engineering efforts with business priorities. Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into actionable product improvements. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter. Join us at MongoDB and be part of a team driving innovation in the data space!

Job Description: Accounting Manager About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by leveraging the power of software and data. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With a global presence and over 175,000 new developers signing up each month, leading organizations such as Samsung and Toyota trust MongoDB to develop next-generation, AI-driven applications. As the fastest-growing database platform, MongoDB is redefining industries with groundbreaking applications and disrupting the traditional database market. This is a unique opportunity to join a transformative company at the forefront of innovation. Role Overview We are seeking a highly motivated Accounting Manager to join the International Financial Compliance team. This team ensures compliance with local accounting standards and filing requirements for international entities while providing strategic accounting advice for business and tax initiatives. Reporting to the Director of International Financial Compliance in Dublin, you will oversee a portfolio of entities and collaborate closely with operational teams in India, local accounting providers, auditors, and cross-functional teams, including Tax, Treasury, Legal, and Finance. This role offers an excellent opportunity for an experienced accountant seeking career growth within a dynamic, high-growth organization. This role is based in Gurugram, India, as part of our hybrid working model. Key Responsibilities Ensure statutory compliance for a portfolio of entities. Prepare or review statutory trial balances and bridge files. Manage the preparation of annual statutory financial statements and audits. Maintain strong relationships with local auditors and accounting providers. Provide technical guidance and support to team members. Support month-end close activities. Assist with local tax audits and accounting requirements. Lead global and cross-functional projects. Continuously improve internal controls and maintain up-to-date procedural documentation. Qualifications & Experience Bachelor s and/or Master s degree in Accounting or a related field. Qualified Accountant (CA/CPA/ACCA). 3-5 years of post-qualification experience (PQE). Minimum 5 years of experience in a similar accounting role within a shared service/center of excellence or accountancy practice. 2-3 years of experience managing audits. Strong knowledge of IFRS and local GAAPs (advantageous). Familiarity with Tax, ESG, and US GAAP (preferred). Project management expertise. Fluent in English; proficiency in a local language is a plus. Ability to work independently and collaboratively within a team. Strong analytical, problem-solving, and prioritization skills. Excellent written and verbal communication skills. Proficiency in MS Excel, Google Suite, and Word; experience with NetSuite or other ERP systems is an advantage. Success Measures Within 3 months: Fully onboarded, taking ownership of assigned entities. Within 6 months: Proficient in MongoDB s accounting processes and structures, managing direct reports as a functional manager. Within 12 months: Expanded network across internal and external stakeholders, actively promoting awareness of key statutory compliance issues within the accounting organization. Culture & Benefits At MongoDB, we foster a supportive and enriching culture to drive personal and professional growth. From employee affinity groups and fertility assistance to generous parental leave, we prioritize employee well-being at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter. Join MongoDB and be part of a global team driving innovation in financial compliance! Qualification : Bachelors and/or Masters degree in Accounting or a related field.

About MongoDB MongoDB s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and leverage AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere on-premises or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications. We are seeking candidates based in Gurugram for our hybrid working model. Team Description The Order to Cash team operates globally across three locations: Dublin, Ireland; Austin, TX; and Gurugram, India. Led by the Senior Billing Manager, the team is highly collaborative, customer-facing, and consists of dedicated professionals committed to excellence. Position Responsibilities Monitor and respond to queries within the Marketplace Billing inbox. Handle internal queries received via email or Slack channels. Support internal finance review processes. Participate in finance reviews for Marketplace opportunities across AWS, Azure, and GCP. Perform cash application for current Marketplace Disbursement reports. Assist in clearing historical open payments and credit memos. Route incoming orders for MongoDB legal execution. Manage Legal Agreement Conga queue for Marketplace-related agreements. Review ordering documents to ensure accuracy in sales and financial accounting systems. Approve Salesforce.com opportunities and NetSuite sales orders. Generate invoices. Assist with account and sales order reconciliations as requested by revenue teams. Work late nights and weekends during quarterly closing periods as needed. Maintain high levels of internal and external customer satisfaction. Assist in updating monthly tracking reports. Contribute to special projects related to administration, operations, and accounting. Candidate Profile Minimum of 2 years of experience in billing and/or order management. Experience with Marketplace Cloud Providers is a plus. Strong background in account reconciliation and transaction research. Comfortable handling large volumes of orders. Experience in fast-paced environments supporting corporate customers. Ability to complete tasks accurately and in a timely manner. Professional, courteous, and dedicated to delivering top-tier customer service. Strong attention to detail and commitment to producing high-quality work. Experience with Salesforce and NetSuite preferred. Intermediate to advanced Microsoft Excel skills. Familiarity with legal agreements and contracts relevant to order processing. Adaptability to a rapidly growing company with evolving processes. Employee Growth & Inclusion We are committed to fostering a supportive and enriching culture. From employee affinity groups to fertility assistance and generous parental leave policies, we prioritize employee well-being. Learn more about working at MongoDB and help us make a meaningful impact on the world. Accessibility & Accommodations MongoDB is committed to providing accommodations for individuals with disabilities during the application and interview process. If you require accommodations, please inform your recruiter.

Senior Specialist 2 General Ledger Payroll Company Overview MongoDB s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to build, scale, and run modern applications by modernizing legacy workloads, embracing innovation, and leveraging AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 175,000 new developers joining MongoDB each month, leading organizations like Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications. We are seeking candidates based in Gurugram for our hybrid working model. Shift: 6 PM 2 AM Role Overview As a Senior Specialist 2, you will manage all month-end close (MEC) activities within the General Ledger (GL) Payroll Team, ensuring accuracy and compliance in payroll-related accounts and processes across global regions. Your role involves integrating payroll data into the general ledger while mitigating risks, supporting decision-making, and scaling financial infrastructure to meet growing payroll needs. You will collaborate closely with HR, Compensation & Benefits, and Finance teams to ensure payroll activities are accurately reflected in financial statements, supporting audit and reporting requirements. Key Responsibilities Month-End Close Activities: Prepare and review journal entries related to payroll, accruals, and reclassifications. General Ledger Management: Track all manual journal entries (accruals, payroll accounting, and reclassifications) and ensure accurate classification of costs under profit & loss accounts. Cross-Team Coordination: Work with AP, AR, Inventory, Payroll, Treasury, and Intercompany teams to ensure timely and accurate information flow. Financial Reporting: Prepare monthly MIS reports and reconcile general ledger accounts to ensure the validity of closing balances. Variance & Income Statement Analysis: Conduct and present variance analysis and income statement reviews to senior management. Audit Support: Coordinate with audit teams to provide necessary documentation and explanations. Global Collaboration: Engage with stakeholders in EU and US regions to ensure proper accounting and transaction handling. Process Improvement & Compliance: Assist in the design and implementation of internal controls, process improvements, and documentation (SOPs/DTPs). US GAAP Adherence: Ensure compliance with US GAAP in all accounting interpretations and applications. Performance Metrics: Prepare and present KPIs to stakeholders. Team Development: Manage performance, set goals, provide training, and foster strong employee relationships. Experience & Qualifications Education: Bachelor's or Master's degree in Commerce. Certifications (Preferred): CA / ICWA / CMA / CPA (or aspirants pursuing these qualifications). Experience: 5-7 years in Finance & Accounting, including 4+ years handling month-close activities and Balance Sheet & P&L preparation. Payroll Accounting exposure, focusing on payroll entries, reconciliations, and reporting. ERP Knowledge: Experience with AP, AR, and GL in an ERP environment (Oracle ERP preferred). Technical Skills: Proficiency in MS Excel, Word, PowerPoint, and Outlook. Accounting Knowledge: Strong understanding of accounting concepts, policies, and multi-currency transactions, including foreign exchange gains/losses. Soft Skills: Excellent oral and written communication, time management, problem-solving, and organizational skills. Customer Focus: Professional and passionate about delivering high-quality service. Flexibility: Ability to adapt to a rapidly growing company and evolving processes. MongoDB is committed to fostering a supportive and enriching work culture. From employee affinity groups to fertility assistance and generous parental leave policies, we prioritize employee well-being and career growth. Accessibility & Accommodations MongoDB is an equal opportunities employer and provides necessary accommodations for individuals with disabilities during the application and interview process. To request an accommodation, please inform your recruiter. Qualification : Bachelor's or Master's degree in Commerce.

Sales Commissions Analyst Company Overview MongoDB s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database, available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 175,000 new developers signing up every month, leading organizations such as Samsung and Toyota trust MongoDB to build next-generation, AI-powered applications. Role Overview MongoDB continues to experience rapid growth, making this an exciting opportunity to contribute to a dynamic and expanding company. We are looking for a Sales Commissions Analyst who is passionate about implementing process improvements and ensuring accuracy in the administration of our Global Sales Incentive Plans. This role will work closely with Sales, Sales Operations, Sales Analytics, Deal Desk, Business Systems, Finance, Accounting, and HR to enhance commission processes and systems for MongoDB s next stage of growth. Shift Timings: 6:00 PM - 2:00 AM (Night Shift) Cab facility will be provided. Location: We are looking to speak to candidates based in our Gurgaon office for our hybrid working model. Responsibilities Administer MongoDB s Global Sales Compensation Plan in Xactly Incent, ensuring accurate electronic distribution and acceptance tracking. Perform commission calculations to ensure timely and accurate payments, aligned with company policies and compliance. Partner with Sales Operations and Sales Finance to deploy annual compensation plans worldwide on schedule. Identify and implement efficiency improvements within the commissions process and workflows. Support the design, implementation, and testing of sales compensation plans, policies, and process changes throughout the year. Provide quality support to sales teams and resolve commission-related queries and exceptions in a timely manner. Collaborate with Business Systems and other teams to scale the commissions process and systems in line with company growth. Conduct training for new and existing sales representatives and management on Xactly software and commission processes. Work with HR and Sales Operations to track sales employee data changes, including new hires, terminations, promotions, and retroactive adjustments. Prepare and post monthly sales commission and bonus accruals and payments. Assist with ad hoc data gathering, reporting, analysis, and other projects. Maintain and develop written process documentation to effectively manage all compensation-related activities. Experience & Skills Minimum 2 years of experience in Sales Commissions or a relevant area. Experience in a publicly traded technology company is preferred. Strong understanding of sales compensation processes, business acumen, and key concepts. Experience administering complex Incentive Plans. Proficiency with Microsoft Excel, Google Sheets, Advanced Formulas & Functions. Hands-on experience with Xactly Incent & Analytics or a similar commissions/reporting tool. Familiarity with Salesforce.com, NetSuite, SuccessFactors, ZenDesk, Smartsheet, and Tableau is a plus. Strong interpersonal and communication skills, with the ability to collaborate across multiple departments. Ability to manage multiple projects and meet deadlines efficiently. Personal Attributes Highly detail-oriented with strong organizational and time management skills. Excellent verbal and written communication skills. Self-motivated with the ability to work independently and take initiative. Critical thinker who identifies problems, suggests improvements, and implements solutions. At MongoDB, we are committed to fostering a supportive and enriching culture for all employees. We offer a range of benefits, including employee affinity groups, fertility assistance, and generous parental leave policies, ensuring that we support employees both professionally and personally. Learn more about what it s like to work at MongoDB and make a meaningful impact on the world! Equal Opportunity & Accommodations MongoDB is an equal opportunities employer. We are committed to providing necessary accommodations for individuals with disabilities throughout our application and interview process. If you require an accommodation, please inform your recruiter.

Workplace & Transport Coordinator Location: Gurugram, India About MongoDB MongoDB empowers innovators to create, transform, and disrupt industries by unlocking the power of software and data. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available across 115+ regions on AWS, Google Cloud, and Microsoft Azure. With offices worldwide and 175,000+ new developers signing up each month, we help organizations modernize legacy workloads, embrace innovation, and build AI-powered applications. Position Overview This is a dynamic role requiring proactive problem-solving, multitasking, and a commitment to maintaining a world-class workplace. You will work alongside a strong local and global team, including the Workplace Manager, Transport Coordinator, and Workplace Coordinator, to create an engaging and efficient office environment. Key Responsibilities Workplace Operations & Facility Management Maintain a safe, professional, and clean workplace, ensuring compliance with regulatory standards. Oversee Annual Maintenance Contracts (AMCs), ensuring timely renewals and service adherence. Conduct daily facility inspections, proactively addressing issues and maintaining high workplace standards. Collaborate with IT, HR, and local leadership on workplace projects, onboarding, and events. Track and resolve employee requests efficiently through the internal ticketing system. Support or lead facility improvement and expansion projects as needed. Transport Coordination Assist the Transport Coordinator with daily operations, including shift coverage when required. Allocate transport, assign routes, and ensure smooth communication with employees and transport providers. Ensure strict compliance with company transport policies and employee safety guidelines. Collect and analyze feedback to drive continuous improvements in transport services. Maintain a seamless and reliable office commute experience for employees. Vendor & Procurement Management Establish and maintain relationships with vendors for repairs, maintenance, and operational needs. Partner with Procurement and Finance teams to negotiate contracts and ensure timely payments. Manage purchasing databases to ensure budget adherence and process efficiency. Monitor vendor performance and project success rates. Qualifications & Skills 4+ years of experience in workplace operations, facility management, and/or transport administration. Strong knowledge of hard services (HVAC, electrical, plumbing) and vendor management. Excellent problem-solving, organizational, and communication skills. Ability to prioritize tasks, deliver high-quality services, and collaborate across teams. Proficiency in MS Office and workplace management tools. Strong emotional intelligence to interpret and address workplace dynamics effectively. Adaptability and a proactive approach to operational challenges. Success Metrics Positive feedback from local office leaders and stakeholders. Improved facility processes leading to enhanced employee experience and efficiency. A smooth, hassle-free office commute experience through optimized transport operations. We are committed to fostering a supportive and enriching workplace culture. From employee affinity groups to fertility assistance and generous parental leave policies, we prioritize our employees' well-being and growth. Equal Opportunity & Accommodations MongoDB is an equal opportunity employer and provides necessary accommodations for individuals with disabilities. If you require accommodation during the application or interview process, please inform your recruiter. Join us in making an impact on the world with cutting-edge technology and innovation!

Product-Led Sales Associate Account Executive Location: Gurugram, India About MongoDB MongoDB s mission is to empower innovators to create, transform, and disrupt industries through the power of software and data. We help organizations of all sizes build, scale, and run modern applications by modernizing legacy workloads, embracing innovation, and leveraging AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database, available in 115+ regions across AWS, Google Cloud, and Microsoft Azure. 175,000+ developers join MongoDB every month, and leading enterprises like Samsung and Toyota trust us to build next-generation, AI-powered applications. This role is based in Gurugram, India. About the Role We are looking for a highly motivated and ambitious Product-Led Sales Associate Account Executive to join our team. In this entry-level sales role, you will own the entire sales cycle, develop strategic customer relationships, and drive revenue growth in your assigned region. Success in this role requires a go-getter attitude, strong sales acumen, and a passion for technology. Hard work, enthusiasm, and initiative are highly valued. Sales Culture at MongoDB MongoDB is always evolving not just in technology, but in our go-to-market sales strategy. Our sales leadership is committed to building the best salesforce in technology by inspiring, enabling, and developing our team. At MongoDB, you ll have access to: A lucrative market with uncapped potential Best-in-class sales training (MEDDIC, Command of the Message, Bootcamps) Expert mentorship from top sales leaders in the software industry A collaborative and high-performance culture We welcome your ideas, feedback, and innovation as we continue to Think Big and Go Far. What You ll Do Identify, prospect, qualify, and close new business opportunities in your assigned territory. Engage with key stakeholders CTOs, Engineering/IT Leaders, and Developers to position MongoDB s value proposition. Develop deep product expertise, understanding MongoDB s capabilities and market differentiators. Manage your sales pipeline efficiently, ensuring timely follow-ups and deal progression. Build strong, long-term customer relationships to unlock future growth opportunities. Collaborate with internal teams including Solution Architects and Professional Services to drive customer success. Participate in world-class sales training programs, including our Sales Bootcamp, leadership development, and advanced sales methodology training. What You Bring 1-2 years of quota-carrying sales experience in a fast-paced and competitive environment. Proven ability to generate a qualified sales pipeline and open new accounts. Track record of overachieving sales targets and closing deals. Ability to articulate the business value of complex enterprise technology solutions. Fluency in English (must be able to communicate effectively with customers). Residing in the assigned territory (Gurugram, India). Strong competitiveness, drive, and ambition to succeed in sales. Familiarity with databases, DevOps, or open-source technology is a plus. Things We Love Previous sales development experience Passion for career growth in the software industry (database market) Familiarity with sales methodologies (MEDDIC, SPIN, Challenger Sales) Knowledge of databases, DevOps, or open-source technology Unparalleled Investment in Your Growth MongoDB invests 8x the industry average in onboarding and career development. Best-in-class training Master MEDDIC, Command of the Message, and advanced sales strategies through comprehensive bootcamps. Career Acceleration Join the fastest-growing segment in the software industry and gain exposure to industry-leading sales techniques. Inclusive and Supportive Culture We foster an environment where employees thrive personally and professionally. Join Us & Make an Impact! At MongoDB, we are committed to inclusion, diversity, and equal opportunity. We provide accommodations for individuals with disabilities throughout the application and interview process please inform your recruiter if you need support. Apply now and be part of the future of data and AI-driven innovation!

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

We are seeking a highly experienced Senior Snowflake Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing robust data solutions within Snowflake, ensuring they are efficient, secure, and scalable. Responsibilities Engage in Snowflake data modeling to create and maintain optimized models tailored for data ingestion and analytical needs Develop and sustain ETL pipelines to consolidate data from diverse sources into Snowflake while preserving data integrity Fine-tune the performance of Snowflake deployments, optimize storage usage, and manage data partitioning for prompt and reliable data access Establish strong data security measures, implement role-based access controls, and apply data masking techniques to uphold data governance standards Leverage tools like dbt and Apache Airflow for scheduling and automating data processes and pipeline surveillance Cooperate closely with cross-functional teams including data scientists and business analysts to solve intricate data issues and carry out effective troubleshooting Create detailed documentation and reports on data architectures, ETL processes, and system operations to facilitate clear communication and knowledge sharing across the organization Requirements 5-8 years of experience in a data engineering role Background in information warehousing with AWS or Azure, utilizing DBT, Snowflake Proficiency in Python programming, workflow management tools including Argo, Oozie, or Airflow Snowflake modeling fundamentals like roles, schema, and databases Competency in data vault modeling, designing, and developing data transformation pipelines using DBT We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of experience in a data engineering role

Department Overview: Enterprise Data Governance & Platforms (EDGP) is a part of Enterprise Digital and Data Solutions (EDDS) and focuses on driving business growth and improving customer experience. EDGP achieves this by ensuring robust enterprise-wide data policies, governance, and a data-driven culture. It develops digital and data platforms that allow users to leverage enterprise-wide data capabilities and foster insightful customer relationships. Role Overview: The Product Owner Enterprise Data Platforms plays a crucial role in translating product strategies into detailed requirements for development by engineering teams. This includes managing product development for key enterprise data products such as the Big Data Platform (Cornerstone) and Google Cloud Platform (Lumi). The role requires collaboration with cross-functional teams to deliver innovative solutions while balancing business and technical requirements. Key Responsibilities: Product Development & Strategy Execution: Lead the product development strategy for key data platforms (Cornerstone & Lumi), ensuring they align with business objectives and the enterprise data strategy. Requirements Translation & Collaboration: Work with multiple stakeholders to convert product strategy into actionable requirements, including design, architecture, and prioritization across scrum teams. Mentoring & Leadership: Mentor product owners in eliciting user needs and aligning them with the product vision, while providing leadership and guidance to engineering teams. Solution Delivery & Feature Prioritization: Develop use cases, assess value, prioritize features and user stories, and ensure alignment with the product strategy. Program Management: Manage blocking issues, escalate problems when necessary, anticipate and balance business needs versus technical constraints, and resolve risks or changes associated with the Product Backlog. Continuous Improvement: Improve processes for operational excellence and ensure scalable solutions for data platforms. Collaboration with Cross-functional Teams: Work closely with engineers, architects, business partners, and governance teams to ensure the product meets business needs and technical requirements. Market & Tool Evaluation: Evaluate external tools and capabilities in data management, assessing their applicability to the platform. Required Qualifications: Education: Bachelor s or Master s degree in Information Technology, Computer Science, Information Security, Mathematics, Statistics, MBA, or a relevant field. Experience: 5+ years of experience in delivering business solutions across various platforms and technologies, including GCP, Big Data, PySpark, Hive, Scala, and Python. Technical Knowledge: Strong understanding of databases, SQL, data movement, APIs, and BI reporting. Agile Mindset: Experience working within a Scaled Agile Framework with an ability to adapt to new opportunities and changes. Cloud & Data Product Experience: Familiarity with Google Cloud Platform (GCP) and cloud services. Experience in data product development and implementation is preferred. Problem-Solving & Communication Skills: Strong communication, product management, and problem-solving abilities. Ability to think abstractly and address ambiguous or under-defined problems. Benefits & Perks: Competitive Compensation: Base salary with bonus incentives. Health & Wellness Support: Comprehensive medical, dental, vision, life insurance, and disability benefits (dependent on location). Flexible Work Arrangements: Hybrid, onsite, or virtual work options, depending on the role and business need. Paid Parental Leave: Generous paid parental leave policies (dependent on location). Wellness Programs: Free access to global on-site wellness centers, confidential counseling support, and the Healthy Minds program. Career Development: Opportunities for career development and continuous training. Equal Opportunity Employer: American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Qualification : Bachelors or Masters degree in Information Technology, Computer Science, Information Security, Mathematics, Statistics, MBA, or a relevant field.

The Team Part of the Digital Platforms group, this team focuses on delivering commodity market insights through innovative data delivery methods. Our collaborative, global team thrives on open communication, mutual respect, and a shared commitment to excellence. You ll oversee the development of various data delivery mechanisms, including real-time streaming, cloud platforms, and Microsoft integration tools like Power BI and Excel add-ins. The Opportunity S&P Global Commodity Insights generates vast amounts of data, tracking real-time commodity market activities. This role offers the unique chance to: Gain deep exposure to the commodity markets. Shape the future of data delivery and analytics. Work with AI technologies to create real-world applications. Key Responsibilities 1. Strategy & Roadmap Development Define and evolve data delivery roadmaps in response to changing commodity markets. Align product strategies with business goals, market trends, and customer needs. 2. Product Development & Delivery Lead product development from ideation to launch, ensuring alignment with organizational goals. Collaborate with internal teams to navigate technical and commercial challenges. Maintain consistent and scalable delivery structures across mediums. 3. Stakeholder Collaboration Build strong relationships with internal and external stakeholders, including clients, partners, and cross-functional teams. Act as a liaison between Commodity Insights and S&P Global s Enterprise Data Organization. 4. Team Leadership & Mentorship Inspire and coach a team of product managers and owners, driving career development and fostering a culture of accountability and innovation. 5. Customer & Market Insight Conduct client interactions to gather insights on workflows, pain points, and feature needs. Stay updated on industry trends, competitor products, and emerging technologies. 6. Operational Excellence Ensure transparency in progress, provide regular updates to leadership, and manage risks. Support go-to-market activities, including marketing content, training, and internal enablement. Qualifications Core Requirements: 5+ years of product management experience in global FinTech, cloud, or data delivery companies. In-depth knowledge of energy and commodities markets and data expectations. Familiarity with GenAI components, RESTful APIs, Python, and cloud distribution platforms (e.g., Snowflake, Databricks, AWS). Bachelor s degree in a technical or science discipline. Experience with Agile and Lean methodologies. Key Skills: Proven track record of bringing products to market, including feasibility assessment and commercial delivery. Strong project management and PMO skills, capable of balancing strategic and operational demands. Customer-centric mindset with the ability to translate insights into actionable product features. Advanced analytical and quantitative skills to support data-driven decision-making. Strategic problem-solving and excellent communication skills. Experience using AI with structured and unstructured data. Preferred Experience: Background in front-office trade analysis, trade support, or risk management in commodity trading. Experience with market data or analytics vendors in the commodity space. Why Join Us? Global Impact: Shape the future of data delivery in the commodity industry. Career Growth: Work with cutting-edge technologies and a collaborative team. Diverse Culture: Join a team that values inclusion, creativity, and mutual respect. Qualification : Bachelors degree or equivalent experience in technical or science major

Associate, Technical Application Support (Customer Excellence Analyst) Location: Gurgaon, India Department: Operations Group Grade Level: 07 Job ID: 315830 Company: S&P Global Market Intelligence Overview As a Customer Excellence Analyst on the KY3P platform support team, you ll serve as a critical liaison between clients and S&P Global s internal operations. You'll support onboarding, training, issue resolution, and product adoption for major financial institutions using KY3P a platform that simplifies third-party risk management and due diligence. Key Responsibilities Act as the main point of contact during client onboarding and beyond. Ensure excellent customer service by resolving issues, answering queries, and meeting SLAs. Deliver training sessions and product demonstrations to promote platform engagement. Analyze client feedback and collaborate with internal teams to improve platform experience. Support data validation and integrity checks in coordination with business partners. Track and escalate bugs, feature requests, and product enhancement ideas. Stay current on regulatory trends and how they impact platform usage. Qualifications Education: Bachelor s degree (any field). Experience: 0 2 years (client service experience preferred). Strong communication skills with a client-focused mindset. Ability to multitask and collaborate across departments. Analytical mindset and a willingness to learn product and industry knowledge. What You ll Gain Experience supporting global banks and major financial clients. Hands-on training on industry platforms, regulations, and client management. Access to internal development programs and a strong career growth trajectory. Benefits & Culture at S&P Global Health & wellness coverage Flexible time off and family-friendly policies Learning & development resources Competitive compensation and long-term financial planning tools A global, diverse team built on values of Integrity, Discovery, and Partnership Qualification : Bachelors degree (any field).

Senior Backend Engineer / Tech Lead Location: Gurugram, India Type: Full-Time Experience: 6 9 Years Category: Technology About Investwell Investwell (Excel Net Solutions Pvt. Ltd.) is India s leading enterprise software platform for financial advisors. Our product suite powers lakhs of daily transactions and enables top financial advisors across the country to guide investors toward achieving their financial goals. If you're passionate about building scalable systems that impact millions, this is your opportunity to shape the future of investing in India. Role Overview We re looking for a Senior Backend Engineer / Tech Lead to join our growing technology team. You will lead backend development initiatives, work on performance-critical services, and contribute to designing highly available, scalable systems. You ll also mentor team members, lead system architecture efforts, and ensure that our platforms run reliably and efficiently. Key Responsibilities Team Leadership: Lead and mentor a team of backend engineers, review code, and ensure best engineering practices. System Design: Architect scalable, secure, and maintainable backend systems. Service Development: Build and maintain RESTful APIs using Node.js and Express.js. Performance Optimization: Ensure sub-second server response times and optimize backend performance. Database Management: Design and manage MySQL, with working knowledge of MongoDB and Elasticsearch data stores effectively. Cloud Infrastructure: Deploy and monitor cloud-based services; ensure system reliability and uptime. Messaging & Indexing: Implement messaging queues and indexing mechanisms for real-time data flows. Technical Communication: Present architectural designs, participate in sprint planning, and collaborate with cross-functional teams. Required Skills & Qualifications 6 9 years of backend development experience with expertise in Node.js, Express.js, and JavaScript. Strong background in system architecture, API design, and complex problem solving. Proficiency in MySQL, with working knowledge of MongoDB and Elasticsearch. Solid understanding of data modeling, caching, and asynchronous processing. Bachelor's degree in Computer Science or equivalent professional experience. Familiarity with DevOps tools, cloud environments, and CI/CD pipelines is a plus. Strong analytical, debugging, and performance tuning skills. Preferred Skills Experience with Python, Java, or additional backend languages. Knowledge of containerization tools (e.g., Docker, Kubernetes). Hands-on experience with message brokers (e.g., RabbitMQ, Kafka). Perks & Benefits 5-day work week with flexible timings. Group medical insurance coverage up to 3 Lakhs for all permanent employees. Fun, collaborative work environment with regular team activities. Complimentary consultations with financial planners for your personal financial journey. Resources and mentorship to help you get started with your own investments. At Investwell, you ll be part of a mission to make quality financial planning accessible to everyone. You ll work with a high-impact team, solve real-world scalability challenges, and play a key role in shaping the future of fintech in India. Qualification : Bachelor's degree in Computer Science or equivalent professional experience.