Machine Delivery Solutions Jobs in Gurgaon

Job Summary: Associate, Technical Application Support Location: Gurgaon, India Department: Operations Group Division: S&P Global Market Intelligence Role Overview: As an Associate in Technical Application Support, you will be a key technical consultant supporting S&P Global s Channels Data Delivery solutions. You will work closely with global product specialists, sales teams, and external customers to deliver high-quality technical assistance around product deployment, configuration, performance tuning, and troubleshooting. Your expertise will bridge customer environments and our data delivery products, ensuring smooth integration into mission-critical workflows. Key Responsibilities: Provide deep technical support for Channels Data Delivery products, including Xpressfeed Loader deployment and configuration. Assist with sizing, deployment, troubleshooting, and performance tuning in client environments. Partner with pre- and post-sales teams to support client needs and opportunities. Drive innovation by proposing automation and efficiency improvements in support processes. Monitor evolving product features, participate in strategy discussions, and contribute to product testing. Act as the voice of the customer by relaying feedback for product enhancements. Support client implementations, upgrades, migrations, and ongoing technical operations. Who You Are: Education: Degree in Computer Science, Information Systems, or equivalent experience. Experience & Skills: Strong troubleshooting and problem-solving skills with attention to detail. Hands-on experience with software deployments, Windows/Linux OS, and SQL querying. Familiarity with cloud environments (AWS, Azure, or Google Cloud), especially AWS EC2 and RDS/Aurora. Comfortable leading client-facing technical discussions. Preferred: Knowledge of finance, capital markets, and database administration (SQL Server, Oracle, PostgreSQL). Experience with FTP, proxies, network and security protocols, and data integration techniques. Familiarity with Agile/SCRUM and product development lifecycle. What You ll Gain: A dynamic role interacting directly with clients and global teams on enterprise-level financial data products. Exposure to the evolving landscape of financial markets and technology-driven data solutions. Opportunities for career growth through continuous learning, skill development, and cross-functional collaboration. Access to competitive benefits supporting your health, well-being, and financial future. About S&P Global Market Intelligence: S&P Global Market Intelligence provides trusted data, insights, and technology solutions that empower customers to make informed business decisions. Our team is dedicated to excellence, integrity, and innovation in delivering essential intelligence to global markets. Qualification : Degree in Computer Science, Information Systems, or equivalent experience.

Job Title: Product Manager (LLMs & AI) Location: Gurgaon, Haryana Experience: 3-7 years Department: Product Management Employment Type: Full-Time About Spyne At Spyne, we are redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help dealers sell online faster has grown into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we are scaling rapidly: Expanded across US & EU markets. Launched industry-first AI-powered Image & 360 solutions. Achieved 5X revenue growth in 15 months, with a goal for 3-4X growth this year. We are now rolling out an end-to-end GenAI Automotive Retail Suite and expanding into the US market to bring our AI-driven products to 3,000-4,000 dealers. What We Are Looking For We are looking for an experienced Product Manager to lead the development of Large Language Model (LLM)-powered applications and AI agents. This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to create advanced, context-aware conversational agents and automation systems. As a Product Manager (LLMs & AI), you will work on defining and delivering AI solutions that transform the user experience, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This is a critical role in shaping Spyne s product strategy, translating user needs into AI-driven solutions, and collaborating with cross-functional teams to deliver innovative, AI-powered products. Product Strategy & Vision: Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools. Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Advancements: Stay updated on emerging capabilities like multi-turn dialogue, in-context learning, and fine-tuning techniques. AI Agent Development: Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions: Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption: Convert user pain points into intuitive AI-driven solutions with explainable outputs. Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions. Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning: Collaborate with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics: Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization: Enhance AI model efficiency and user satisfaction through iterative improvements. What You Must Have 1 3 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (e.g., GPT, Claude). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrive in fast-paced, ambiguous environments. Strong Culture: A supportive and collaborative work environment that encourages innovation. Transparency & Trust: High levels of autonomy and trust in decision-making. Competitive Salary & Equity: Stock options for top performers. Health Insurance: Comprehensive coverage for employees and their dependents, including GMC, GPA, and GTLI coverage. Dynamic Growth Environment: Join a fast-paced, high-growth setting that will accelerate your professional development. Shape the Future of AI-Powered Automotive Retail If you're passionate about AI and want to play a key role in transforming the automotive retail experience, join Spyne and help us define the future of AI-powered automotive retail!

Job Title: Engineering Manager SaaS & Logistics Tech | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Engineering Industry: SaaS | Logistics & Supply Chain Technology Company: Shipsy About Shipsy Shipsy is a leading global SaaS company that s reshaping the logistics and supply chain industry. Our platform offers end-to-end visibility, intelligent automation, and AI-driven solutions for businesses to optimize freight and delivery management. In just a few years, we ve gained a dominant share of India s courier/express sector, with over 30% of the industry flowing through our platform, while also expanding into international markets like Saudi Arabia, UAE, and Southeast Asia. Our platform processes over 1.5 million transactions daily, and we're on a mission to digitize global trade. Shipsy helps companies manage everything from vendor rate procurement and digital workflow management to AI-based reconciliation, reducing invoicing errors and improving operational efficiency. We are a remote-first company with offices in Gurugram, Mumbai, Bangalore, and Dubai. Backed by Sequoia Capital and Info Edge, our fast-growing team is composed of top-tier talent from IITs, IIITs, NITs, and global companies like Samsung, MIT Media Labs, Deutsche Bank, and more. Role Overview: Engineering Manager We re looking for a visionary Engineering Manager to lead and inspire our dynamic engineering team at Shipsy. You will be responsible for driving innovation, ensuring the timely delivery of high-quality products, and optimizing development processes to enhance the overall performance of our platform. This role offers a unique opportunity to work on cutting-edge technology and shape the future of logistics through scalable, AI-powered solutions. Key Responsibilities Team Leadership & Mentorship Lead, mentor, and manage a team of talented software engineers. Foster a collaborative environment that encourages professional growth and technical excellence. Conduct regular performance evaluations and provide feedback to drive continuous improvement. Strategic Engineering & Project Management Develop and implement engineering strategies aligned with organizational goals and objectives. Manage multiple projects simultaneously, ensuring timely delivery of high-quality software solutions. Collaborate with product, design, and other cross-functional teams to define and prioritize product features. Agile Methodology & Process Optimization Implement and maintain Agile methodologies to improve team performance and project delivery. Oversee the entire software development lifecycle (SDLC), ensuring adherence to best practices and coding standards. Continuously evaluate and improve development processes for maximum efficiency. Resource & Budget Management Manage project budgets, resources, and capacity planning for engineering initiatives. Ensure effective allocation of resources and align team priorities with business objectives. Innovation & Industry Expertise Stay up-to-date with emerging technologies and industry trends to drive innovation within the team. Lead efforts to integrate cutting-edge technologies and solutions into the development process. Collaboration & Communication Cultivate strong working relationships with stakeholders across the business to ensure alignment and transparency. Communicate technical concepts clearly to both technical and non-technical audiences. Qualifications & Skills Bachelor s degree in Computer Science, Engineering, or a related field (Master s degree preferred). 5+ years of software engineering experience, with at least 3 years in a management or leadership role. Proven track record of successful project delivery, team leadership, and technical decision-making. Expertise in Agile methodologies and project management tools like Jira, Confluence, etc. Strong understanding of the software development lifecycle (SDLC), from ideation to deployment. In-depth knowledge of software architecture, design patterns, and best practices. Excellent problem-solving, analytical, and decision-making skills. Outstanding communication and interpersonal skills to interact with cross-functional teams. Experience with budgeting and resource allocation for engineering projects. Proficiency in managing distributed teams (preferred). PMP certification is a plus. A passion for working with emerging technologies and driving innovation. Competitive salary and performance-based incentives. Remote-first work culture with flexible work arrangements. World-class learning opportunities with sponsored enrollments for online courses (Coursera, edX, etc.). Fun, collaborative, and innovative environment with regular team outings, quarterly parties, and annual offsites. International trip vouchers and company-sponsored asset purchase programs. Access to cutting-edge technology and the opportunity to influence the future of global logistics. Apply Today & Lead the Future of Logistics Tech If you re an engineering leader passionate about driving innovation, optimizing development processes, and delivering cutting-edge solutions in the logistics space, then Shipsy is the place for you. Qualification : Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred).

Senior Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 6-8 Years About FinBox FinBox is a cutting-edge fintech company that is reshaping how financial services are provided to businesses and consumers. Since our launch in 2017, we ve developed some of the most innovative technologies in the financial services space, enabling lenders such as Banks, NBFCs, and large enterprises to create and launch credit products in just days. As a Series A-funded company, we are expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set new standards in the era of digital finance. We've helped our clients disburse billions of dollars in credit, covering a wide range of unsecured and secured products like personal loans, business loans, mortgages, and education loans. We ve made a significant impact, supporting over 100 companies and serving millions of customers every month. Why You Should Join FinBox: Innovative Environment: We foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what s possible in fintech. Impactful Work: Your work will directly influence millions of lives by making credit more accessible to individuals and businesses. Growth Opportunities: As a Series A-funded startup, we offer numerous opportunities for professional development and career advancement. Collaborative Culture: Be part of a diverse, inclusive team of experts who are passionate about making a difference and supporting each other. Role Overview: As a Senior Data Scientist at FinBox, you will work at the intersection of data and business, helping to deliver impactful solutions in the lending space. You will be responsible for analyzing large datasets, extracting meaningful insights, and applying advanced data science techniques to improve products and drive business results. Key Responsibilities: Data Analysis & Insights Generation: Analyze big data to produce actionable insights that directly contribute to product improvements and business outcomes. Model Building & Experimentation: Develop and deploy algorithms to extract useful information from large datasets. Use statistical analysis and machine learning techniques to create predictive models. Data Visualization & Reporting: Create interactive dashboards and visualizations to help monitor key metrics and inform stakeholders. Automate report generation using data visualization tools. Collaborate with Teams: Work closely with business teams to translate customer requirements into problem definitions and develop algorithmic solutions to address business challenges. Data Processing & Pre-processing: Gather, clean, and preprocess relevant data for insight generation and model building. Present Complex Results: Distill complex analysis into simple, clear visualizations and explanations for stakeholders at all levels. Apply Data Science Techniques: Use techniques such as exploratory data analysis (EDA), regression analysis, decision trees, clustering, survival analysis, and more. Continuous Improvement: Apply iterative analytics to steer the continuous improvement of products and algorithms. Who You Are: Analytical Thinker: You have strong analytical skills and a passion for deriving actionable insights from complex data. Technical Proficiency: Proficient in Python, R, SQL, and Excel. Familiarity with AWS and Git is highly preferred. Data Science Knowledge: Solid understanding of statistical concepts, machine learning models, and algorithms. Knowledge of data science tools and techniques for large-scale data analysis. Data Visualization Expert: You can create clear and impactful visualizations to communicate findings effectively. Problem Solver: You thrive on tackling ambiguous problems and developing innovative solutions that directly impact the business. Collaborative: You enjoy working in a team environment and are able to translate technical concepts into business-friendly language for diverse audiences. Desired Qualifications: 6-8 years of experience in data science with a focus on machine learning and statistical modeling. Expertise in Python, R, SQL, and Excel for data analysis and visualization. Experience with AWS, Git, and other cloud-based technologies. Solid understanding of statistical concepts, machine learning algorithms, and model deployment. Experience with data visualization tools and creating dashboards. Ability to effectively communicate complex results to non-technical stakeholders. Innovative Culture: At FinBox, we love disruption and creativity. Here, you can take ownership and contribute ideas that directly impact our product and the industry. Global Impact: Work on high-impact projects with global customers, improving access to credit for millions. Career Growth: FinBox offers a fast-paced, dynamic environment where you can rapidly grow your career. Collaboration & Diversity: Join a team of talented, passionate people who value collaboration and diverse perspectives. If you re ready to make a real difference in fintech and enjoy solving complex problems with data science, apply now to be part of the FinBox team!

Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 3-6 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where technology, innovation, and creativity meet to revolutionize financial services. Since our inception in 2017, we've been on a mission to transform the lending industry by helping lenders like Banks, NBFCs, and enterprises launch credit products faster than ever before. As a Series A funded company, we are growing rapidly with offices in India, Vietnam, Indonesia, and the Philippines. Our vision is to build world-class infrastructure for lending products that help banks and financial services companies scale globally. We've already helped customers disburse billions of dollars in both unsecured and secured credit, and our solutions are used by over 100 companies, impacting over 5 million customers monthly. Innovative Environment: We encourage creativity and experimentation, pushing the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, making credit more accessible. Growth Opportunities: As a growing Series A startup, we offer ample opportunities for professional development. Collaborative Culture: Join a diverse and supportive team that values different perspectives. Creative Thinkers: We love people who challenge the norm and bring fresh, out-of-the-box ideas. Customer Heroes: We need those who understand customer needs and go above and beyond to deliver exceptional experiences. Team Players: If you thrive in a collaborative environment and believe in the power of "we," you'll fit right in. How You'll Contribute to Our Data Science Team: Analyze structured and unstructured data to derive meaningful insights. Support predictive model development and statistical analyses to guide product decisions. Build dashboards and visualizations to monitor and report key business metrics. Assist in data gathering, pre-processing, and cleaning to maintain high-quality datasets. Conduct exploratory data analysis and hypothesis testing to enable data-driven decision-making. Automate reports and develop clear, effective data visualizations. Document data processes and findings in a structured, presentable format. Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions. Apply foundational machine learning techniques, including regression analysis, clustering, and decision trees. Who You Are: Experience: 3+ years in data science, analytics, or a related field. Technical Skills: Strong proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Visualization: Experience with tools like Tableau, Power BI, or similar for data visualization. Additional Skills: Familiarity with AWS, Git, and version control practices is a plus. Knowledge: Understanding of statistical concepts and basic machine learning models. Mindset: Eagerness to learn, experiment, and grow in a fast-paced, dynamic startup environment.

About KPMG in India KPMG in India is a leading professional services firm, affiliated with KPMG International Limited. Established in August 1993, we combine global expertise with local knowledge to deliver comprehensive services across a variety of sectors. Our professionals are well-versed in local laws, regulations, markets, and competition. With offices across India including Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada we offer top-tier services to both national and international clients. KPMG India is dedicated to providing industry-focused, technology-enabled services, underpinned by a deep understanding of both global and local industries, as well as extensive experience in the Indian business environment. Role: Assistant Manager M&A Tax Overview: We are seeking an Assistant Manager for our M&A Tax team to provide expert tax and regulatory advice on M&A transactions and corporate restructurings. This role demands strong knowledge of corporate tax, SEBI, FEMA, and other relevant regulatory frameworks, with a focus on providing strategic advisory services for mergers, acquisitions, and private equity transactions. Key Responsibilities: M&A & Restructuring Advisory: Provide in-depth tax and regulatory advice on M&A transactions and corporate restructurings, with a strong understanding of corporate tax regulations, exchange control regulations, SEBI guidelines, and stamp duty rules. Stay Updated: Keep current with developments in tax laws, FEMA, SEBI regulations, corporate laws, and other relevant regulations to ensure the advice provided is up to date. Develop Junior Team Members: Actively coach and develop junior team members in M&A tax, restructuring, and corporate tax concepts, ensuring continuous growth within the team. M&A Tax Advisory Services: Deliver M&A tax advisory services and private equity (PE) tax strategies tailored to the client's needs. Client Relationship Management: Build and nurture positive client relationships, ensuring an understanding of their business needs and providing value-driven solutions. Engagement Delivery: Accountable for the timely delivery of high-quality work on engagements, ensuring that work is completed to a high standard. Team Supervision: Supervise and mentor junior team members, reviewing their work and providing constructive feedback. Risk Management: Understand and apply risk management procedures to ensure compliance throughout the engagement lifecycle. Qualifications & Skills: Professional Qualification: Chartered Accountant (CA) qualification is required. Experience: 3-5 years of experience in direct tax advisory, with a focus on M&A transactions. Key Skills: Strong analytical abilities and attention to detail. Excellent communication and presentation skills. Ability to manage client relationships effectively. Commercial awareness and a deep understanding of M&A-related tax issues. Team player, capable of mentoring junior staff. Experience in working with regulatory frameworks, including corporate tax, FEMA, SEBI, and corporate law. Equal Employment Opportunity (EEO) Information KPMG India is committed to providing equal employment opportunities for all applicants and employees, regardless of color, caste, religion, age, 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 share demographic details to support our diversity efforts. Please note that submitting this information is optional and will not affect your application. Qualification : Chartered Accountant (CA) qualification is required.

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.

Job Description: Vice President, Operations - Index & Data Solutions About the Team: The Index & Data Solutions (IDS) team at BlackRock is responsible for shaping and executing the firm s data strategy, overseeing relationships with data providers, and ensuring the smooth administration of market data services. The Operations team within IDS is looking for an experienced Vice President to lead a high-performing group of market data professionals in streamlining processes, managing contracts, and collaborating with multiple stakeholders to deliver exceptional operational excellence. As Vice President, you will play a key role in overseeing end-to-end market data operations, from contract administration to invoicing and payment management. You will work closely with vendors, relationship managers, internal teams, and BlackRock s finance function to optimize data operations, drive process improvements, and ensure the firm s market data needs are met efficiently and accurately. The ideal candidate will be a strategic and hands-on leader, passionate about performance, with experience in invoice operations management and process transformation. You should be comfortable interacting with senior internal and external stakeholders and possess strong problem-solving and data management skills. Key Responsibilities: Invoice Validation & Reconciliation: Review and validate invoices against the internal inventory of market data services. Research and resolve discrepancies to ensure accurate and timely invoice processing. Actively follow up with vendors and internal teams to resolve issues and ensure timely resolution. Financial Reporting & Analytics: Prepare reconciliations to explain differences between internal service inventories and vendor invoices. Develop and maintain accurate reports on index and market data usage for providers. Prepare financial analytics and reports for internal stakeholders to aid in decision-making. Process Improvement & Optimization: Identify opportunities for streamlining invoicing and data management processes. Use data insights to drive improvements and optimize operational efficiency. Contribute to the development of quality controls and continuous improvements in operational processes. Vendor & Stakeholder Management: Act as a key point of contact for invoice and payment-related inquiries from vendors and internal teams. Develop and maintain strong relationships with external data providers to ensure smooth contract administration and service delivery. Partner with BlackRock's Finance team to manage market data budget accruals and ensure accurate financial reporting. Team Leadership & Development: Lead and mentor a team of market data professionals, fostering a high-performance culture. Support the team in their growth, development, and delivery of market data solutions. Requirements: Experience: 5-8 years of experience in market data operations, invoice validation, or reconciliation. Proven track record of optimizing operational processes and implementing quality controls. Educational Background: Degree in Business, Commerce, or a related field. Technical & Analytical Skills: Proficiency in Excel and Microsoft Access; advanced skills preferred. Basic knowledge of financial markets and market data services. Strong analytical and problem-solving skills with an ability to translate complex issues into actionable solutions. Communication & Leadership: Excellent oral and written communication skills, with the ability to interact effectively with senior stakeholders. A self-starter attitude with strong organizational skills and the ability to handle multiple priorities while maintaining composure. Proven ability to lead and contribute to team performance in an inclusive and diverse environment. Our Benefits: To ensure you remain energized and inspired, we offer an array of benefits that include: Strong Retirement Plan and comprehensive healthcare options. Tuition Reimbursement to support your ongoing learning. Flexible Time Off (FTO), allowing you to recharge and spend time with loved ones. Support for working parents, including various family-related benefits. Our Hybrid Work Model: At BlackRock, our hybrid work model fosters collaboration and personal development. Employees are required to work in the office at least 4 days a week, with flexibility to work from home 1 day a week. This approach ensures effective team collaboration while offering flexibility in your work-life balance. About BlackRock: At BlackRock, our mission is to help people experience financial well-being by offering innovative investment solutions. We are committed to helping individuals achieve their financial goals from saving for retirement to funding education, buying homes, or starting businesses. Our clients investments play a crucial role in driving global economic growth, supporting businesses, financing infrastructure, and fostering innovation. Join us in making a difference in the world of finance and be part of an industry-leading firm.

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.

Job Title: Finance & Admin Business Analyst IBM Introduction As a Finance & Admin Business Analyst at IBM, you will play a crucial role in ensuring the profitable operations of one of the world's most recognized and respected technology companies. Your work will support IBM s continued innovation in Artificial Intelligence, Cloud Infrastructure, Cognitive Solutions, and Blockchain Technologies. If you thrive in a dynamic, collaborative workplace, IBM provides an environment where you will be challenged and inspired every day. If you enjoy solving complex financial challenges and bringing creative solutions to the table, there s no limit to what you can accomplish here. Your Role and Responsibilities As a Delivery Practitioner, you will be responsible for transaction processing in Accounts Payable and Accounts Receivable while ensuring compliance with IBM s financial standards. Key Responsibilities: Oversee General Ledger activities, including fixed assets, inter-company transactions, inventory, cash & bank, indirect tax, and accruals. Identify risks and opportunities related to revenue, costs, and profitability, and propose appropriate actions. Ensure compliance with client Service Level Agreements (SLAs) and maintain deadlines. Detect and resolve duplicate records and payment errors. Process vendor invoices efficiently and ensure accurate payments. Handle manual and automated payment requests, along with payment run verification. Manage Travel & Expense (T&E) claims, vendor statement reconciliations, and resolve duplicate payments. Provide support via calls and email follow-ups for financial queries. Required Technical and Professional Expertise 0-1 year of work experience in Finance & Accounting. Ability to handle order fulfillment, cash collection, and cash application. Strong skills in invoice verification, exception resolution, and reducing invoice aging. Knowledge of SOX compliance (e.g., document approvals before posting). Experience in expense management and payment processing. Ability to identify duplicate transactions and errors in financial records. Preferred Technical and Professional Expertise Proficiency in Microsoft Office (Excel, Word, Outlook) and familiarity with accounting terminologies. Experience handling queries via calls and emails. Ability to adapt to business transformations and follow standard procedures. A collaborative mindset with a problem-solving approach. Strong time management skills and ability to work under tight deadlines. Eagerness to learn and grow by attending educational workshops and industry training. Work in a collaborative and innovative environment. Gain hands-on experience with cutting-edge financial technologies. Build a career with continuous learning and development opportunities. Be part of a diverse and inclusive global workforce. At IBM, we value your unique skills and expertise. We encourage you to bring your best self to work and take your career to the next level!

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!

Position: Product Owner - Core Analytics Solutions (CAS) Job Overview: At BlackRock, technology and innovation are central to our mission of delivering world-class financial solutions. As part of Aladdin Financial Engineering (AFE), the Core Analytics Solutions (CAS) team is responsible for delivering analytical capabilities that drive better portfolio decisions. CAS works closely with investment teams and clients, transforming data into actionable insights and delivering solutions across asset classes and client segments. About Aladdin Financial Engineering (AFE): Join over 400 modelers and technologists in AFE within BlackRock Solutions. AFE is responsible for the research, development, and analytics production of Aladdin s financial models. These models span a wide range of financial products and provide insights to portfolio and risk management professionals. About Core Analytics Solutions (CAS): The CAS team within AFE creates and delivers Aladdin s analytical capabilities, ensuring clients can make informed portfolio decisions and achieve their financial goals. Our team is known for problem-solving, innovation, and delivering scalable solutions using Aladdin s global investment platform. Role Description: As a Product Owner with CAS, you will focus on portfolio risk methodologies like VaR and Stress Testing. You will work with modelers and collaborate with product managers, engineers, and data teams to deliver next-generation risk models. This role requires a blend of subject matter expertise, analytical skills, and leadership in driving product initiatives using agile frameworks. Responsibilities: Deliver next-generation risk models for portfolio risk methodologies such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and factor risk models. Drive agile framework implementation to ensure predictability and transparency across initiatives. Work closely with stakeholders to define and articulate product requirements, ensuring alignment with business needs. Perform independent analytical validations and present results to stakeholders. Influence the analytics roadmap by understanding rapidly evolving markets and stakeholder needs. Automate processes to increase efficiency and throughput. Present models to clients, address concerns, and build trust in BlackRock s solutions. Collaborate with technology and analytics teams to build scalable, customized solutions using Aladdin APIs. Define processes for quality control and ensure the robustness and reliability of Aladdin s analytics models. Develop and maintain documentation for analytical models and processes. Mentor junior analysts and help them build expertise in the field. Experience/Qualifications/Skills: 3-6 years of experience in developing, deploying, or using financial risk models. Deep understanding of financial models and risk methodologies, including factor models. Experience with APAC markets is a plus. Proven track record of leading cross-functional initiatives as an agile product owner. Experience in finance, econometrics, statistical analysis, or advanced mathematics. Experience with technical tools like Linux, SQL, and scripting platforms. Programming skills (Python, advanced Excel) are a plus. Knowledge of financial risk management certifications (CFA, FRM) is a plus. Excellent quantitative, analytical, communication, and presentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model fosters collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. We invest in our employees to create a supportive environment where they can thrive professionally and personally. We offer benefits and development opportunities to support our employees' growth. Qualification : Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Advanced degree preferred. Bachelors degree required.

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Position: Junior Technical Product Strategist - Cash Management Group About the Role: BlackRock is one of the world s leading asset management firms, offering a wide range of investment management, risk management, and advisory services. The Cash Management Group, part of the Global Cash Management team, manages Prime and Government Money Market and Ultra-Short Duration Mutual Funds and Separate Accounts, focusing on capital preservation, liquidity, and yield. The team uses a risk-controlled framework to deliver investment returns based on credit, interest rate trends, and relative value opportunities. Business Unit Overview: The Cachematrix Technical Product Strategy team is part of the Global Cash Management group and works with the Cachematrix Liquidity Management platform, a SaaS-based product that powers custom trading solutions for leading financial institutions worldwide. This platform provides seamless integration with core cash management systems or operates as a stand-alone system. Your Responsibilities: Analysis and Solution Definition: Collaborate with stakeholders to gather and document business requirements. Create and maintain Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), and Business Process Requirements (BPRs). Develop and execute test strategies for User Acceptance Testing (UAT) and provide feedback for improvements. Technical Recommendation and Testing: Identify, document, report, and track defects and issues. Manage issue reporting and triage, providing timely escalation as needed. Project Execution and Support: Offer business and platform support to ensure smooth platform operations. Oversee vendor data to maintain data integrity, verify accuracy, and ensure reconciliation. Set up and oversee client data extracts for seamless integrations. Build and maintain reports, including ad-hoc and automated reports, to support business needs. Communication: Deliver support and training demos to stakeholders and document operating models and handoff processes. Manage stakeholder communication between business and development teams. Preferred Experience: 1-3 years of experience as a Business Analyst or UAT Tester. Bachelor s degree in Business Administration, Information Technology, or a related field. Strong understanding of the software development lifecycle (SDLC) and testing methodologies. Excellent analytical and problem-solving skills. Familiarity with Agile & Scrum methodologies. Industry knowledge of financial services and processes. Experience with JIRA, Confluence, Miro, Visio, Aha or similar tools. Proficiency in SQL for querying and data analysis. Experience with data visualization and business intelligence tools such as Power BI, Tableau, Adobe Analytics, or similar platforms is preferred. Familiarity with programming languages like Python is a plus. Qualification : Bachelors degree in Business Administration, Information Technology, or a related field.

Job Summary: We are seeking a Cloud Architecture Project Manager to manage and lead architecture projects while ensuring alignment with business goals and architectural standards. The successful candidate will work with solution architects to deliver technical solutions, evaluate new technologies, and help resolve complex issues. This role involves collaborating with various teams, overseeing architecture project progress, and providing technical guidance to ensure the success of cloud solutions in an enterprise environment. Key Responsibilities: Manage and lead architecture projects, ensuring they meet objectives, timelines, and budget. Collaborate with solution architects to deliver technical solutions that align with architectural standards and guidelines. Contribute to the definition and implementation of architectural standards and guidelines. Provide technical guidance to resolve complex issues related to architecture projects. Evaluate and recommend technology solutions that enhance efficiency, performance, and business outcomes. Foster collaboration within the team and with cross-functional groups to ensure smooth project execution. Communicate effectively with both technical and non-technical stakeholders, translating complex technical concepts into actionable insights. Oversee the successful completion of architecture projects and provide regular progress reports. Ensure quality delivery of cloud solutions in enterprise environments. Basic Qualifications: Bachelor's degree in a relevant field or equivalent combination of education and experience. 7+ years of relevant work experience, including a minimum of 3 years in a similar role. Strong problem-solving and project management skills, with experience in managing complex projects. Excellent communication and team collaboration abilities. Relevant cloud certifications or advanced training (e.g., AWS Certified Solutions Architect, TOGAF). Proven experience in managing cross-functional teams and delivering cloud solutions in enterprise environments. Demonstrated success in managing complex cloud architecture projects and delivering technical solutions in alignment with business goals. Continuous learner, keeping abreast of industry trends and technological advancements. Other Qualifications (Preferred): Advanced degree in a relevant field (e.g., Master s in Computer Science or similar). Relevant certifications (e.g., TOGAF, AWS Certified Solutions Architect). Why Join Us? This role offers an opportunity to work in a dynamic environment, manage complex cloud architecture projects, and collaborate with a diverse team of experts. If you are passionate about cloud technology, architecture, and delivering impactful solutions, this is the perfect role for you. Qualification : Bachelor's degree in a relevant field or equivalent combination of education and experience.

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

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About this role: Gartner is looking for well-rounded and motivated Leaders to join the Gartner Innovation Tools team. The Innovation Tools team is responsible for developing innovative growth products for end-users. The team is responsible for R&D into new areas and come up with rapid solutions that can be taken to the market. What you ll do: Be a part of a new energetic team of engineers delivering fresh Products. Build modern future-proof solutions for millions of end-users. Work with Open-source technologies and applications. Work in a fast-paced environment along with passionate, technology rock stars. Follow coding standards, build appropriate unit tests, integration tests and deployment scripts. Continuously problem-solve to create secure and simple solutions. Create a robust backend for massive scalability and high performance. Bring to life elegant and modern designs. What you will need: 12-16 years of experience developing customer facing products or web applications. The candidate should have strong qualitative and quantitative problem-solving skills along with high on ownership and accountability. Must have: Expertise in designing architecture for complex systems. Expertise with AWS cloud. Expertise in Java, Spring Boot and Microservices. Experience with Docker and container orchestration (Kubernetes/ Service Mesh). Exposure to DevOps, Terraform and GitOps (Argo, Helm) is a big plus. Strong experience with architectural patterns implementation Excellent communication and interpersonal skills Who you are: Education qualification as graduate or postgraduate degree in Engineering is required. Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Owns success Takes responsibility for successful delivery of the solutions. Strong desire to improve upon their skills in software development, frameworks, and technologies. Don t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. Qualification : Education qualification as graduate or postgraduate degree in Engineering is required.

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

Position: Senior Sales Executive Location: Gurgaon Job Type: Full-Time Industry: Automotive | Supply Chain & Enterprise Mobility Experience Required: 2 4 Years (B2B Solution Sales in the Automobile Sector) Company Overview Bar Code India (BCI) Bar Code India is a leading provider of advanced supply chain automation, traceability, and enterprise mobility solutions. Our mission is to deliver innovative technology that empowers organizations to optimize operations, improve efficiency, and stay ahead in a competitive landscape. With a strong presence in the automobile industry, we are now seeking driven sales professionals to help us expand our footprint and accelerate revenue growth. Position Overview We are hiring a Senior Sales Executive to join our dynamic team in Gurgaon. This role is ideal for a motivated and results-driven individual with a proven track record in B2B solution sales, particularly in the automotive domain. You will be responsible for building strong client relationships, identifying new opportunities, and driving sales of our cutting-edge automation and traceability solutions. Key Responsibilities Identify, prospect, and develop new B2B opportunities within the automotive sector, especially among OEMs and Tier 1 suppliers. Understand customer pain points and position BCI s technology-driven solutions to address those challenges effectively. Conduct impactful product demos, solution walkthroughs, and proof-of-concept discussions. Engage and build long-term relationships with key decision-makers and stakeholders. Work closely with cross-functional teams including Pre-sales, Technical, Product, and Delivery for solution alignment and proposal delivery. Own and manage the entire sales cycle from lead generation to negotiation and deal closure. Consistently meet or exceed quarterly and annual sales targets. Requirements 2 4 years of experience in B2B solution sales; experience in selling to the automobile industry is mandatory. Strong skills in lead generation, cold calling, and field prospecting. Proven ability to navigate complex sales processes and close deals. Hands-on experience with CRM tools and structured sales methodologies. Excellent communication, negotiation, and presentation skills. Knowledge of barcode/RFID technology, enterprise mobility, or supply chain solutions is a strong advantage. Self-starter with a positive attitude and the ability to work independently in a fast-paced, tech-driven environment. Key Attributes High emotional intelligence and excellent interpersonal skills. Self-motivated and goal-oriented. Strong analytical and problem-solving abilities. Collaborative mindset and a team-first attitude. Flexible and adaptive to changing business needs and market dynamics. Competitive compensation with attractive incentives. Health insurance and wellness benefits. Structured training and mentorship programs to accelerate your growth. A collaborative, diverse, and innovation-driven work environment. Opportunities to work with leading-edge technology and global clients. If you re passionate about technology sales, thrive in a high-impact role, and have the ambition to grow with a market leader we want to hear from you!