Cloud Data Platforms Jobs in Gurgaon

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.

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.

Job Title: Senior QA Engineer Location: Gurugram, India Job Type: Full-Time Experience Level: 5+ Years Overview: We are looking for a highly motivated and skilled Senior QA Engineer with 5+ years of experience to join our dynamic team. In this role, you will have the opportunity to work on challenging and impactful projects, significantly contributing to the success of our products. You will be a key member of the engineering team, collaborating closely with developers, product managers, and designers to deliver high-quality software in a fast-paced, innovative environment. At our company, we value ownership, collaboration, and a proactive approach to problem-solving. We encourage continuous learning and innovation within a supportive and collaborative environment. Key Responsibilities 1. Test Planning & Strategy Develop and execute comprehensive test plans and strategies, including risk assessments and test coverage analysis. Collaborate with the development team to define acceptance criteria and ensure testability of features. Participate in sprint planning and grooming sessions to provide valuable QA input. 2. Test Execution & Automation Design, develop, and maintain automated test scripts using appropriate testing frameworks (e.g., Selenium, Cypress, JUnit). Perform manual and automated testing, including functional, regression, integration, performance, security, and usability testing. Analyze test results, identify, and document defects effectively using bug-tracking tools. 3. Quality Assurance Advocate for quality throughout the entire software development lifecycle, from requirements gathering to release. Proactively identify and mitigate potential quality risks. Contribute to continuous improvement of our testing processes and methodologies. 4. Collaboration & Communication Effectively communicate testing progress, issues, and findings to the development team and other stakeholders. Build and maintain strong relationships with cross-functional teams. Participate in code reviews and provide constructive feedback. 5. Data Analysis Analyze test data and generate comprehensive test reports to track progress and identify trends. Utilize data analysis techniques to improve test effectiveness and efficiency. Qualifications Experience 5+ years of proven experience as a QA Engineer in an agile development environment. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus. Technical Skills Strong understanding of software development principles and methodologies (e.g., Agile, Scrum, DevOps). Proficiency in API testing using tools like Postman, SoapUI, or REST Assured. Familiarity with SQL and scripting languages (e.g., Python, Groovy). Experience with performance and load testing tools (e.g., JMeter, LoadRunner) is a plus. Dynamic Work Environment: Work on challenging projects that have a direct impact on the product s success. Collaborative Culture: Be part of a supportive, collaborative environment that values innovation and continuous learning. Career Growth: Opportunity to contribute to the continuous improvement of processes while growing within a fast-paced organization. Competitive Benefits: Receive competitive compensation and benefits for your hard work. If you are an experienced Senior QA Engineer passionate about ensuring the quality and success of cutting-edge software products, we encourage you to apply now and become a part of our dynamic team.

Job Title: Technical Integrator - Cloud ERP-Fusion Overview: Keysight Technologies is at the forefront of innovation, providing cutting-edge solutions in electronic design, simulation, prototyping, testing, manufacturing, and optimization. With a workforce of approximately 15,000 employees, we offer world-class solutions across industries such as communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor, with customers in over 100 countries. Our award-winning culture fosters creativity and problem-solving, driving industry-first solutions and embracing diversity, equity, and inclusion. At Keysight, we believe that a sense of belonging enhances creativity, innovation, and career success. We are looking for an experienced Technical Integrator to join our dynamic global IT team, focusing on Cloud ERP-Fusion technologies. In this role, you will be key to our ERP-Fusion Cloud migration project, integrating cloud modules, building extensions, managing data migration, and ensuring seamless integration processes. Key Responsibilities: Integrate Oracle ERP-Fusion Cloud Modules with existing systems, ensuring smooth functionality. Develop custom extensions to enhance ERP system functionalities. Manage data migration processes, ensuring accuracy, integrity, and completeness. Collaborate with cross-functional teams to identify integration requirements and deliver effective solutions. Troubleshoot and resolve technical issues related to integrations and extensions. Ensure compliance with security policies and best practices throughout the integration process. Provide ongoing technical support and guidance to end-users and stakeholders. Stay up-to-date with the latest Oracle ERP-Fusion Cloud features and updates to ensure the system is always at its best. Required Tools and Technologies: Oracle Integration Cloud (OIC) Oracle Application Development Framework (ADF) Oracle BI Publisher (BIP) Oracle Transactional Business Intelligence (OTBI) SOAP and REST APIs Extract, Transform, Load (ETL) Tools Oracle SQL and PL/SQL Oracle SOA Suite Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience with Oracle ERP-Fusion Cloud integration and customization. Strong understanding of integration tools and technologies. Experience managing data migration and ETL processes. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to thrive in a fast-paced and dynamic work environment. Preferred Qualifications: Oracle ERP-Fusion Cloud certification. Experience with other ERP systems and cloud platforms. Knowledge of security and compliance standards. Experience with software development tools and technologies, including: Angular with Spring Boot, Java with JPA, Database Management (e.g., Aurora DB, Dynamo DB) Design and implementation of scalable cloud infrastructure (Python, Django, Flask, Java, JavaScript, HTML, CSS, .Net, R, MS SQL, PL/SQL, WebLogic, Perl) Development experience with Python/Node.js and related frameworks. Expertise in Networking & Security tools such as Virtual Firewalls, AWS Direct Connect, VPN tunnels, AWS IAM, AWS Shield, Secrets Manager, and Certificates Manager. How to Apply: If you re passionate about cloud technologies and ERP integrations, and want to contribute to shaping the future of innovative solutions at Keysight, we d love to hear from you. Join us as we continue to lead and innovate in the tech space! Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field.

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.

IT Operations Manager Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. What you ll do: We are looking for an IT Operations Manager to join our Corporate Technology team in Gurugram. The role involves working closely with other Specialists to direct and manage all operational activities related to IT Operations spanning across multiple office spaces and collaborate with key stakeholders across geographies to play an active role in monitoring and supervising the operations, ensuring the team members address the requests within the agreed Service level agreements by adhering to the defined processes. You ll play a pivotal role in supervising and managing a team of Specialists and oversee day-to-day operations to meet Service Level Agreements through optimum quality and service. Additionally, you ll need to demonstrate high proficiency in operations procedures, be proactive in communication, and define performance metrics for processes and individuals. You ll ensure effective and efficient working relationships between the team members, maintain a high level of morale and productivity and provide direction to the members on Operations. As an IT Operations Manager, you ll be responsible for monitoring end-user compute infrastructure and resolving system issues, manage installations, upgrades and configurations of both hardware and software, assess system performance, and recommend improvements, resolve or assist with issues escalated by Specialist, provide support and guidance to stakeholders, collaborate with other departments within the organization to resolve issues. You ll also need to lead and manage projects by setting timelines, defining deliverables, and ensuring alignment with business objectives. This includes analyzing reports and statistical data to assess productivity levels and identify root causes for underperformance, developing customized reporting to measure and track operational metrics, and overseeing key weekend initiatives such as user migrations to newer platforms, software and hardware upgrades, and audits. Additionally, you ll coordinate cross-functional teams, monitor progress, address risks and obstacles, and ensure successful project completion within scope, budget, and deadlines. What you ll need: The ideal candidate should have more than five years of experience preferably at a technology or financial firm. The candidate should have excellent computer skills including organizational and time-management skills and proven experience as IT Operations Manager. Experience in Project management for enterprise product implementation. Candidate should have experience with system & application installations, configuration and analysis and good understanding of policy, planning, and strategy. Candidate should have fair understanding of Windows platform and Cloud platforms like Azure. The following areas are preferred: Strong knowledge of designing and implementing office technical infrastructure. Proficiency in OS management and network administration, including TCP/IP, DNS, DHCP, VLANs, routing, and switching. Experience with Azure infrastructure, including Azure Virtual Machines, Azure Active Directory, Azure Networking, and Azure Security. Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team. Relevant certifications (e.g., Microsoft Certified: Azure Administrator Associate, Cisco Certified Network Associate) are a plus. The ideal candidate should have the ability to oversee inventory requirements and forecast hardware purchases at regular intervals. Candidate should also have outstanding communication skills, leadership and organizational skills and ability to manage multiple projects and tasks at hand, problem-solving aptitude and assist with important strategy decisions w.r.t project planning and implementation. The candidate should be a self-starter who is structured, action-oriented, and has a sense of urgency, as well as being deadline-oriented and should have the ability to lead a team. Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics.

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 dunnhumby dunnhumby is the global leader in Customer Data Science, helping businesses around the world thrive in today s data-driven economy. Guided by our Customer First philosophy, we enable businesses to grow by championing and advocating for their customers. With deep roots in retail one of the world s most competitive and data-rich industries dunnhumby s expertise now spans multiple sectors, empowering leading brands like Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro. Our diverse team of nearly 2,500 experts works from offices across Europe, Asia, Africa, and the Americas, driving transformative solutions for some of the most recognized brands globally. About the Role We are seeking an Engineering Manager who is passionate about platform engineering and ready to drive innovation. This is a fantastic opportunity to lead the design and development of a robust, scalable Application Development Platform, collaborating closely with application developers to equip them with the tools and services they need to excel. As part of the Platform Engineering Team, you will focus on creating a reliable and scalable platform using GCP and Azure, while developing critical common services. You ll implement tools like Terraform, ArgoCD, and Kubernetes to optimize the CI/CD pipeline, ensuring seamless, rapid, and reliable software releases. Additionally, you will implement monitoring and performance optimization strategies using tools such as Prometheus, Grafana, and New Relic, ensuring top-tier availability, reliability, and performance. Security will also be a core focus implementing best practices around network security, access controls, and data protection. This role provides the perfect blend of technical leadership, hands-on engineering, and innovation, staying at the forefront of emerging technologies and industry trends within DevOps and Platform Engineering. What You ll Do Technical Leadership & Delivery Lead the design, implementation, and maintenance of infrastructure and deployment pipelines for the platform and services. Develop and enhance our cloud infrastructure on GCP and Azure, leveraging Infrastructure as Code tools like Terraform and CloudFormation. Implement and manage containerized environments using Docker and Kubernetes. Build and optimize CI/CD pipelines using tools like Octopus, GitLab, and TeamCity. Oversee the development of common services to streamline and standardize development across teams. Monitoring & Performance Optimization Deploy and manage monitoring and visualization tools, including Prometheus, Grafana, and New Relic. Drive performance tuning and capacity planning to ensure smooth platform operations. Security & Compliance Define and enforce security best practices across the platform, from network security to access management and data protection. Lead initiatives to enhance the security posture of the platform, ensuring compliance with regulatory and internal requirements. Collaboration & Mentorship Work closely with application development teams to understand their needs and align platform capabilities with development workflows. Mentor and guide engineers, fostering a culture of continuous learning, collaboration, and technical excellence. Innovation & Continuous Improvement Stay ahead of industry trends and bring innovative tools and approaches into the team s practices. Advocate for automation and streamlined processes to enhance team productivity and platform reliability. What You ll Bring 10+ years of experience in platform engineering, infrastructure development, or DevOps, including experience in a leadership role. Strong expertise in cloud platforms especially GCP and Azure and experience building infrastructure using Terraform and/or CloudFormation. Hands-on experience with containerization using Docker, and managing production workloads in Kubernetes. Proficiency in at least two programming languages, such as Python and GoLang. Solid understanding of CI/CD tools such as Octopus, GitLab, or TeamCity. Familiarity with monitoring tools like Prometheus, Grafana, and New Relic. Proficiency in scripting languages such as Bash or PowerShell. Strong understanding of networking principles and security best practices. Proven leadership and team management skills, with the ability to mentor and guide a cross-functional team. Excellent communication and collaboration skills, capable of working across teams and presenting ideas clearly to both technical and non-technical stakeholders. Ability to thrive in a fast-paced, agile environment while maintaining focus on quality. Experience with GitOps methodologies and tools like ArgoCD is highly desirable. Prior experience in a team lead or engineering manager role is a strong plus. What You Can Expect from Us At dunnhumby, we believe in exceeding expectations yours and ours. You ll enjoy a competitive compensation package, along with benefits designed to support your health, well-being, and work-life balance. Some of what we offer includes: Flexible working hours and the freedom to shape your workday. Your birthday off, so you can celebrate you. Investment in cutting-edge technology to support your work. A nimble, fast-paced environment where you have the freedom to experiment, learn, and innovate. At dunnhumby, you ll join a team where curiosity, creativity, and collaboration thrive and where Customer First isn t just a mantra; it s our mission.

About dunnhumby dunnhumby is the global leader in Customer Data Science, empowering businesses to thrive in the modern data-driven economy by putting the Customer First. Our mission is to help businesses grow and reimagine themselves by becoming true champions for their customers. With deep expertise in retail, one of the world s most data-rich and competitive sectors, we enable businesses across industries to embrace a Customer First mindset. With nearly 2,500 experts across Europe, Asia, Africa, and the Americas, we partner with iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro, delivering transformative customer insights and data-driven strategies. About the Role We are looking for a talented Engineering Manager to lead a team of engineers focused on building products that empower Retailers to transform their Retail Media business, maximizing ad revenue and enabling massive scale. As Engineering Manager, you will play a pivotal role in designing and delivering high-quality .NET Core-based solutions. You will guide a team of engineers, contribute to system architecture, enforce engineering best practices, and drive innovation. Your technical expertise, leadership, and results-driven mindset will be critical to the success of our products. Key Responsibilities Leadership & Team Management Lead and manage a team of software engineers, fostering a culture of collaboration, growth, and continuous development. Conduct regular performance reviews and provide constructive feedback. Mentor and coach junior engineers, nurturing talent within the team. Balance delivery timelines with technical excellence. Technical Oversight & Delivery Collaborate with Product Managers and Architects to define technical roadmaps and align engineering efforts with product goals. Oversee the design, development, and delivery of solutions built on .NET Core within a microservices-based architecture. Implement and enforce best practices in coding, CI/CD pipelines, and DevOps processes. Ensure adherence to security, compliance, and quality standards throughout the SDLC. Process Improvement & Innovation Drive continuous improvement initiatives to enhance developer productivity, system performance, and engineering processes. Advocate for the adoption of modern tools, frameworks, and approaches to optimize delivery. Encourage a culture of experimentation and innovation, ensuring the team stays up to date with emerging technologies. Skills & Experience Required Technical Expertise Strong hands-on experience with C# and .NET Core. Deep understanding of design patterns, SOLID principles, and system design. Expertise in Relational Databases such as SQL and PostgreSQL. Experience with BigQuery, Redis, and ElasticSearch is a plus. Familiarity with microservices architecture and event-driven systems (e.g., RabbitMQ, Google Pub/Sub). Proficiency in containerization technologies like Docker and Kubernetes. Hands-on experience with DevOps tools (e.g., GitLab CI/CD) and practices. Strong understanding of cloud platforms, especially GCP (preferred) or Azure. Experience working with distributed systems, multi-tenant services, cloud-native applications, and Unix/Linux environments. Quality, Testing & Security Familiarity with the Testing Pyramid and relevant tools at each level. Hands-on experience with Code Quality and Secure Code Scan tools (e.g., SonarQube, Checkmarx, ESLint, Resharper, Trivy). Experience implementing observability using tools like NewRelic. Ways of Working Strong understanding of the software development lifecycle (SDLC) and Agile methodologies. Proven track record of delivering high-quality software on time. Exceptional communication, interpersonal, and leadership skills, with the ability to motivate and align teams. Experience in the AdTech or Retail domain is a plus. What You Can Expect from Us At dunnhumby, we go beyond expectations to provide a rewarding career experience: Competitive compensation and comprehensive benefits. Flexible working hours and your birthday off. Opportunities to work with cutting-edge technologies and drive real impact. A collaborative, innovative environment where you can experiment, learn, and grow. A balance of global scale and agility, giving you both freedom and responsibility.

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!

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: The OSTTRA Technology team comprises professionals specializing in Capital Markets Technology, building, supporting, and securing applications that power our network. The technology landscape includes high-performance, high-volume applications, leveraging contemporary microservices and cloud-based architectures. The Impact: As a member of the OSTTRA Technology team, you will play a critical role in designing, building, and maintaining platforms that process over 100 million messages daily. Your work supports the automated trade processing across global capital markets, ensuring efficient settlement and compliance with regulatory requirements. What s in it for You: This role offers an opportunity to work with a highly motivated and dynamic team in Gurgaon, collaborating with colleagues across multiple global regions. You will have the chance to leverage your 12-15 years of experience in platform engineering and help shape the future of our expanding portfolio of Financial Services clients. Key Responsibilities: Platform Architecture: Design and architect scalable, resilient, and high-performance platform infrastructure for financial services. Team Leadership: Lead, mentor, and guide a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Agile Project Delivery: Implement Agile methodologies (Scrum, Kanban) for efficient project delivery and task management. Automation & Optimization: Implement automation tools and scripts (e.g., Terraform, Ansible) to streamline infrastructure provisioning, deployment processes, and optimize cloud resource utilization. Security & Compliance: Enforce security best practices, conduct security audits, and ensure compliance with industry standards. Performance Optimization: Monitor platform performance, identify bottlenecks, and implement optimization techniques for better scalability and response times. Cloud Integration: Leverage cloud platforms (AWS, Azure, GCP) for scalable solutions and cost-efficiency. What We re Looking For: Experience: 15+ years of platform engineering experience, preferably in the Fintech industry. Cloud Expertise: Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Automation Skills: Proficiency with automation tools like Terraform, Ansible, and CI/CD pipelines (Jenkins, CircleCI). Agile Expertise: Deep understanding of Agile methodologies (Scrum, Kanban) with hands-on experience in Agile project delivery. Security & Compliance: Expertise in implementing security best practices and ensuring platform compliance. Additional Skills: Experience with serverless computing, microservices architecture, data engineering, and data pipelines. Cloud and Agile certifications (e.g., AWS, Azure, CSM, PSM) are preferred. As part of OSTTRA, you will be at the forefront of driving post-trade innovation and efficiency within the global financial markets. This is an excellent opportunity to contribute to a dynamic, evolving organization and work on cutting-edge platform technologies. Qualification : Proficiency in infrastructure automation tools (e.g., Terraform, Ansible).

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

Job Title: Solution Engineer Connectivity Platform Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial leads the way in advancing the vital work of farmers and builders worldwide. Our innovative products, from alternative power sources to precision technology, support feeding and sheltering a growing global population. Join a global, collaborative team dedicated to driving customer success through innovation. Job Purpose The Solution Engineer will provide technical leadership and people management to lead product development for the Connectivity platform, supporting IoT platforms such as Azure IoT Hub and ThingWorx. This role involves coordination across internal teams, program managers, and external partners to deliver scalable, secure engineering solutions that meet organizational goals. Key Responsibilities Develop a strategic technical vision and roadmap aligned with market needs and stakeholder objectives. Lead design and management of scalable, secure technical solutions aligned with business strategy. Align product architecture with vision and goals; evaluate technology options and lead decision-making. Collaborate with development teams to deliver features on schedule, adhering to CNHI standards and policies. Provide detailed technical specs and time/effort estimates; ensure non-functional requirements (performance, security) are met. Monitor development progress and communicate status updates to stakeholders. Identify and resolve project constraints, risks, and technical challenges. Facilitate cross-functional collaboration through clear frameworks and coordination. Architect and oversee integration of IoT platforms (Azure IoT Hub, ThingWorx) with enterprise systems. Guide development of secure, real-time, data-intensive IoT applications focusing on telemetry, edge computing, and data streaming. Experience Required 12+ years of industry experience, including 3+ years in a Solution/Enterprise Architect role. Strong foundation in software architecture and engineering principles (OOP, RESTful APIs, Design Patterns). Skilled in business analysis, stakeholder collaboration, and strategic technology planning. Expertise in security, encryption, API design, integration patterns, data architecture, messaging systems, and async programming. Experience developing RESTful APIs using OpenAPI specifications. Proven experience with Microservices architecture, Docker, and Kubernetes. Hands-on experience with Microsoft Azure cloud services and PaaS components. Performance tuning and application optimization skills. Expertise in IoT integration including device provisioning, edge connectivity, data ingestion, and telemetry. Technical Skills Languages & Frameworks: C#, ASP.NET Core, LINQ, JavaScript, HTML5, Angular, Java Authentication & Security: Azure AD, OAuth 2.0 (JWT), SSL/TLS Databases: SQL Server, PostgreSQL, Cosmos DB Caching: Azure Redis Cache Cloud & DevOps: Microsoft Azure (AKS, Blob Storage, Key Vault, APIM, Event Hub, Service Bus, Functions), Azure DevOps, Terraform, Git, GitLab Monitoring: Application Insights, Datadog, ELK Stack IoT Platforms: Azure IoT Hub, ThingWorx Messaging & Streaming: MQTT, Azure Event Hub, Service Bus Topics Testing & Automation: NUnit, xUnit, K6, PowerShell, Python Preferred Qualifications Bachelor s or Master s degree in Computer Science, Computer Engineering, or a related field. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Comprehensive savings and retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility, and family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial where your skills drive innovation and build the future. Qualification : Bachelors or Masters degree in Computer Science, Computer Engineering, or a related field

Job Title: AI/ML Team Lead Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is committed to advancing the vital work of farmers and builders worldwide. Our cutting-edge solutions from alternative power sources to precision technology drive productivity while caring for our planet. Join a collaborative global team passionate about innovation and customer success. Job Purpose Lead the design, development, and deployment of advanced AI/ML and Generative AI solutions to drive innovation and business value. Act as the technical and strategic leader shaping AI initiatives, ensuring scalable and ethical architectures aligned with business goals. Manage cross-functional collaboration and communicate complex concepts clearly to drive adoption. Experience in both POCs and production-grade AI solutions is essential. Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as chatbots, intelligent document processing, code generation, content summarization, and personalization. Customize and fine-tune foundation models (GPT, LLaMA, Claude, Mistral) for domain-specific applications. Evaluate and integrate GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute a Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business teams to prioritize AI use cases. Lead POCs and pilots validating AI ideas before scaling. Ensure secure, ethical, and governed deployment of AI systems. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Azure Focus) Deploy and operationalize models on cloud platforms, especially Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure including vector databases, inference endpoints, and GPU resources for performance and cost-efficiency. Utilize MLOps practices for lifecycle management and reproducibility. Experience Required 8+ years in AI/ML roles with 2+ years focused on Generative AI. Proven hands-on experience with foundation models (GPT-4, Claude, LLaMA) and tooling ecosystems. Proficient in Python and AI/ML libraries such as PyTorch and Hugging Face Transformers. Deep knowledge of prompt engineering, RAG, LLMOps, and model fine-tuning. Experience with vector databases like FAISS, Pinecone, Weaviate, or Azure AI Search. Familiarity with enterprise AI integration via APIs, plugins, and cloud deployment. Preferred Qualifications Bachelor s, Master s, or PhD in Computer Science, Machine Learning, AI, or related fields. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility & family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial innovate for a sustainable future and help build better lives.