Senior Data Scientist With Cloud Experience AWS GCP Azure Jobs in Gurgaon

Prompt Engineer (Software Engineer) Analyst Location: Gurgaon, India (On-site) Function: Content Engineering Experience: 0-1 years About GlobalLogic GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to some of the world s largest and most innovative companies. Since 2000, we have driven the digital revolution, creating cutting-edge digital products and experiences that transform businesses and industries globally. At GlobalLogic, we prioritize a culture of caring, continuous learning, and balance, fostering an environment where creativity and innovation thrive. Role Overview As a Prompt Engineer, you will focus on designing, developing, and optimizing prompts for natural language understanding systems, especially conversational AI and chatbots. This role requires a strong foundation in Python, data science, and natural language processing, combined with hands-on experience in prompt engineering, deep learning models, and relevant AI frameworks. Key Responsibilities Design and develop effective prompts for conversational AI and NLU systems. Collaborate with engineers and data scientists to integrate and refine prompts. Analyze user behavior and model outputs to enhance prompt quality and response accuracy. Optimize algorithms to improve prompt generation efficiency and effectiveness. Continuously update knowledge on NLP advancements and apply innovative techniques. Test and evaluate prompts for quality, relevance, and user experience improvement. Work cross-functionally to ensure seamless integration of prompts into products. Identify and resolve prompt-related challenges to boost conversational AI performance. Qualifications Bachelor s degree in Artificial Intelligence, Machine Learning, or related field (B.Tech freshers welcome). Strong programming skills in Python and experience with databases and data science methodologies. Proven knowledge of NLP, prompt engineering, and conversational AI or chatbot systems. Familiarity with deep learning concepts including transformers, GANs, VAEs, and large language models (LLMs). Proficiency with AI frameworks such as TensorFlow, PyTorch, and spaCy. Ready to work on-site with rotational shifts (5 working days, 2 weekly offs). Immediate joining preferred. Inclusive, caring culture fostering acceptance and collaboration. Robust learning and development opportunities to accelerate your career growth. Meaningful work on innovative projects shaping the future of AI and digital experiences. Work-life balance with flexible arrangements and supportive policies. A high-trust, ethical organization valuing integrity and transparency. Qualification : Bachelors degree in Artificial Intelligence, Machine Learning, or related field

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.

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!

Principal Data Scientist | FinBox | Gurgaon Location: Gurgaon Experience: 8-11 Years About FinBox FinBox is at the forefront of transforming the financial services industry with our innovative technologies. Since our inception in 2017, we have empowered lenders, such as Banks, NBFCs, and large enterprises, to build and launch credit products quickly within days rather than months or years. As a Series A funded company, we re expanding globally with offices in India, Vietnam, Indonesia, and the Philippines. Our mission is to build world-class infrastructure for lending products, helping financial services companies scale and launch credit programs that set a new standard in digital finance. We've already helped our customers disburse billions of dollars in credit across unsecured and secured credit, including personal loans, working capital loans, business loans, mortgages, and education loans, impacting over 5 million customers every month. Why You Should Join FinBox: Innovative Environment: We cultivate creativity and experimentation. We want you to challenge the status quo and push boundaries in fintech. Impactful Work: Your contributions will have a direct, positive impact on millions of lives, making credit more accessible to individuals and businesses globally. Growth Opportunities: As a Series A-funded startup, FinBox provides tremendous opportunities for career development and professional growth. Collaborative Culture: Join a diverse, inclusive, and highly skilled team, all passionate about making a meaningful difference in the fintech world. Role Overview: As a Principal Data Scientist at FinBox, you will play a critical role in driving data science initiatives and shaping the direction of data-driven decision-making. You will leverage your deep expertise in machine learning and statistics to design and deploy predictive models, optimize algorithms, and lead experimentation processes that directly impact our products and business strategies. You will work closely with cross-functional teams to translate business requirements into data-driven solutions and collaborate on deploying models at scale. Key Responsibilities: Data Analytics & Insights: Analyze large, complex datasets to generate insights that drive business growth and measure the impact of business decisions. Model Development & Experimentation: Design, build, and deploy predictive models, using machine learning techniques such as regression, clustering, decision trees, and survival analysis. Algorithm Development: Optimize algorithms to process data efficiently, supporting better decision-making across the business. A/B Testing & Experimentation: Lead A/B testing and other experimentation methodologies to refine products and optimize business strategies. Data Visualization & Reporting: Create automated dashboards and reports using visualization tools like Tableau or Power BI to clearly communicate insights to stakeholders. End-to-End Data Processing: Manage the full lifecycle of data processing from gathering and cleaning data to creating models and deploying them in production. Stakeholder Collaboration: Collaborate with product, engineering, and business teams to translate business needs into data-driven solutions. Model Deployment: Ensure that machine learning models are effectively deployed at scale and optimized for real-time business applications. Who You Are: Experience: 8+ years of experience in data science, with a proven track record in the finance or fintech industry. Technical Expertise: Strong proficiency in Python, R, SQL, and Excel for data analysis, model development, and automation. Cloud & Version Control: Proficiency in AWS for cloud-based deployment and Git for version control. Advanced Data Science Skills: Expertise in statistical methods and machine learning techniques including regression, clustering, decision trees, bootstrapping, and survival analysis. Data Visualization: Extensive experience with data visualization tools like Tableau, Power BI, or open-source libraries (e.g., Matplotlib, Seaborn). Problem Solving & Communication: Strong problem-solving skills with the ability to distill complex models into actionable insights for business stakeholders. Deployment Experience: Experience in deploying and maintaining machine learning models at scale, focusing on automation, real-time analytics, and continuous improvement. Innovative Culture: Join a team that is dedicated to pushing the boundaries of what is possible in fintech, with an environment that fosters creativity and experimentation. Global Impact: Your work will directly influence the future of financial services, helping millions of customers access fair and accessible credit. Career Growth: As a growing startup, FinBox offers substantial opportunities for personal and professional growth. Collaborative Team: Work with a team of talented, driven professionals who believe in collaboration, inclusivity, and shared success.

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.

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

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

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).

Job Summary: Senior Application Specialist Location: Gurgaon, India Grade Level: 10 Department: Operations Group Company: S&P Global Market Intelligence Overview: As a Senior Application Specialist, you will play a pivotal role in delivering expert-level application support for thinkFolio, S&P Global s portfolio management software. You will be the primary liaison for troubleshooting and resolving client issues, maintaining service excellence, and contributing to documentation and process improvements. This role offers extensive cross-functional collaboration and interaction with global clients in the banking, asset management, and hedge fund industries. Key Responsibilities: Serve as a product expert for thinkFolio, offering technical and functional support to clients. Troubleshoot and resolve complex client issues efficiently, escalating when necessary. Manage incoming support requests, ensuring SLAs are met while maintaining clear communication. Document client issues, resolutions, and communication using internal support systems. Collaborate with global teams across business lines and senior management for knowledge sharing and resolution tracking. Contribute to the creation and maintenance of user manuals, troubleshooting guides, and knowledge base content. What You Bring: Education: Bachelor s degree in Computer Science, Information Technology, or related field. Experience: 5+ years in enterprise software support; experience in financial services or investment systems is preferred. Technical Skills: Proficiency in SQL, scripting languages, and data analysis tools. Soft Skills: Strong analytical, problem-solving, and communication skills. Ability to multitask and prioritize under pressure. Mindset: Customer-first attitude with an aptitude for learning new financial technologies and sharing knowledge. What s In It for You: Accelerated growth through exposure to enterprise software used by global financial institutions. Cross-regional collaboration and learning opportunities in a high-impact environment. Access to continuous learning, competitive compensation, wellness programs, and family-friendly benefits. The chance to be part of a global, inclusive organization driven by Integrity, Discovery, and Partnership. About S&P Global Market Intelligence: A division of S&P Global, we provide essential data, insights, and technology that enable clients to make confident decisions. We empower businesses to track markets, manage risk, and identify opportunities in a fast-changing global environment. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

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

Principal Engineer - Backend (Java) Location: Gurugram, Haryana, India Employment Type: Full-time About ixigo ixigo is a leading technology company in the Indian travel space, enabling smarter travel decisions for millions of users through AI, machine learning, and data science innovations. Founded in 2007 by Aloke Bajpai and Rajnish Kumar, ixigo powers platforms like ixigo, ConfirmTkt, and AbhiBus, helping travelers plan, book, and manage their journeys across rail, air, bus, hotels, and more. As of 2022, ixigo was named among the Top 10 Most Downloaded Travel Apps worldwide, according to data.ai. Headquartered in Gurugram, ixigo also has offices in Bangalore and Hyderabad. Job Description As a Principal Engineer at ixigo, you will play a critical role in the design, planning, development, and deployment of our software applications. You will be responsible for building highly scalable, multi-tier, and distributed server software applications, ensuring their performance, stability, and overall quality. This role requires you to lead, own, and drive projects from concept to deployment, working closely with product managers, designers, and quality teams. If you're a hands-on engineer with a passion for building impactful products and solving complex problems, this is the role for you! Key Responsibilities Product Development: Design, develop, and architect features for existing applications, ensuring scalability, performance, and reliability. Own product modules end-to-end, ensuring that features are delivered on time, with high quality and performance. System Architecture & Performance: Design and implement highly scalable, multi-tier, distributed server applications with a focus on performance, scalability, and availability. Identify, troubleshoot, and resolve issues related to performance, stability, and memory management, using tools like Instruments and Shark. Collaboration: Collaborate with cross-functional teams including Tech, Design, and Quality to build and launch products that meet business objectives. Work directly with developers and product managers to conceptualize, build, test, and release new features. Continuous Improvement: Continuously evaluate new technologies and frameworks to maximize development efficiency and performance. Ensure that best practices are followed across the development life cycle, from design to release and maintenance. Qualifications Required Skills Experience: 5-8 years of professional experience in backend development. Expertise in Java/J2EE technologies. Technical Proficiency: Strong understanding of Java/J2EE, design patterns, and advanced data structures. Proficient in working with relational databases like MySQL or Postgres. Experience with MongoDB, Web services, and REST APIs. Performance & Scalability: Solid experience in designing systems for performance, scalability, and availability. Skilled in memory management, multithreaded programming, and performance optimization using tools like Instruments and Shark. Additional Skills (Good to Have): Familiarity with Python, NodeJS, Redis, and ElasticSearch is a plus. Experience with e-business or e-commerce applications is highly desirable. Experience working in the travel industry or with internet companies will be an advantage. Education: Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs). Behavioral Traits Strong leadership skills with the ability to manage and mentor junior engineers. Ability to work effectively in a fast-paced, dynamic, and informal startup environment. High energy level, self-motivation, and a commitment to driving team goals. Excellent problem-solving and communication skills. Strong interpersonal skills and the ability to work in a collaborative team environment. Impactful Work: Lead critical product features that impact millions of travelers. Innovation Culture: Work in a dynamic environment that fosters innovation, creativity, and collaboration. Career Growth: Accelerate your career in a fast-growing tech company. Competitive Compensation: Attractive salary and benefits package. Work-Life Balance: A supportive and flexible work environment. Qualification : Undergraduate degree in Computer Science, Engineering, or related fields (preferably from IITs/Top RECs).

Job Title: Full Stack Developer (JavaScript, Node.js, React, AngularJS) About the Role: We are looking for an experienced and self-driven Full Stack Developer who is passionate about working in a fast-paced startup environment. As part of a small, talented team, you will be responsible for both front-end and back-end development, writing high-performance and scalable code, and solving complex challenges in a timely manner. If you're someone who thrives in a dynamic, time-sensitive environment and loves building solutions that make an impact, this role is for you. A Great Fit for This Role: Excited About Startups: You re passionate about working in a startup and contributing to a highly talented and agile team. Strong Analytical Skills: You re able to quickly understand new technologies, navigate unknown challenges, and implement practical solutions. Hands-On Engineer: You love to design and develop solutions, writing clean, maintainable, and efficient code for both the front-end and back-end. Fast-Paced Environment: You thrive in a high-pressure, fast-paced environment where solutions are delivered rapidly rather than on a weekly/monthly cycle. Proven Track Record: You have experience delivering projects under time-sensitive conditions and enjoy solving problems on the fly. Passion for Full-Stack Technologies: You are proficient in modern JavaScript-based front-end and back-end technologies, and relational/analytical databases. Key Responsibilities: Full-Stack Development: Design and develop both front-end and back-end systems using technologies such as Node.js, React, AngularJS, and relational/NoSQL databases. Solution Design: Write clean, high-quality, scalable, and maintainable code for the overall application architecture. API Development: Build, optimize, and maintain RESTful APIs to ensure smooth communication between client and server-side applications. Database Management: Design and optimize relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for performance and scalability. Collaboration: Work closely with cross-functional teams to define and deliver new features and improvements, while maintaining high standards of code quality. Performance Optimization: Optimize both front-end and back-end performance, ensuring a seamless and fast user experience. Time-Sensitive Deliveries: Ensure the timely delivery of projects and handle issues in real-time, meeting daily targets and deadlines. Must-Have Skills and Experience: JavaScript & Modern Frameworks: 3-4 years of experience working with Node.js or React and AngularJS/JavaScript for front-end and back-end development. Database Expertise: Expertise with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB). Strong Understanding of Full-Stack Development: Proven experience in both front-end (React/AngularJS) and back-end (Node.js) technologies. Code Quality & Performance: Ability to write clean, efficient, and scalable code that performs well at scale. Education: Bachelor s/Master s degree in Computer Science from Tier-I/Tier-II colleges only. Nice to Have: Experience with Messaging Systems: Familiarity with RabbitMQ and Elastic Search for scalable and efficient data processing. Cloud Services: Experience with AWS services and cloud-based application deployment. CI/CD Practices: Familiarity with continuous integration and deployment methodologies (e.g., Jenkins, Kubernetes). Linux Proficiency: Comfortable working in a Linux environment for development and deployment. What You ll Bring to the Team: A passion for full-stack development and hands-on coding. Strong experience in building scalable applications with modern JavaScript frameworks and databases. A deep understanding of designing solutions that prioritize performance, maintainability, and scalability. A proactive approach to problem-solving, with the ability to work in an agile and fast-paced environment. The ability to collaborate effectively with team members and contribute to a culture of continuous improvement. Perks and Benefits: Competitive salary and performance-based incentives. Opportunity to work on cutting-edge technologies and solve complex engineering challenges. Work in a fast-paced, growth-oriented environment where you can directly impact the product and business. Flexible working hours and remote work options. If you re an experienced Full Stack Developer passionate about working in a dynamic, high-growth startup, we d love to hear from you! Qualification : Bachelor's/Masters degree in Computer Science from tier-I/tier-II colleges only.

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.

Job Title: Senior Software Engineer Role Overview: As a Senior Software Engineer, you will play a pivotal role in the design, development, and optimization of software applications and solutions. You will leverage your expertise in software engineering best practices, problem-solving, and innovation to deliver high-quality solutions while mentoring junior team members. This role requires strong technical leadership, autonomy, and a deep understanding of software development lifecycles. Key Responsibilities: Software Development & Optimization: Design, develop, and maintain scalable and high-performance software applications. Apply scientific methods to analyze and solve complex software engineering challenges. Optimize code for performance, security, and maintainability. Technical Leadership & Innovation: Provide mentorship and technical guidance to junior engineers. Drive best practices in software engineering, including code reviews, testing, and DevOps. Lead software architecture discussions and contribute to technical decision-making. Collaboration & Stakeholder Engagement: Work closely with cross-functional teams (Product, Design, QA) to ensure seamless software delivery. Engage with stakeholders to translate business requirements into technical solutions. Communicate complex technical concepts to both technical and non-technical audiences. Process Improvement & Compliance: Ensure adherence to software development methodologies, standards, and security protocols. Identify and implement continuous improvement initiatives to enhance efficiency. Stay up-to-date with emerging technologies and drive innovation within the team. Required Skills & Qualifications: Strong proficiency in software design, development, and architecture. Hands-on experience with modern programming languages and frameworks (e.g., Java, Python, .NET, JavaScript). Expertise in cloud technologies (AWS, Azure, Google Cloud) and DevOps practices. Solid understanding of software testing, CI/CD pipelines, and microservices architecture. Strong problem-solving skills with the ability to work autonomously and lead projects. Excellent communication and collaboration skills to engage with stakeholders and mentor peers. Work on cutting-edge technologies in a collaborative and dynamic environment. Contribute to impactful projects that shape the future of technology. Opportunities for career growth, leadership, and continuous learning. If you are a passionate software engineer looking to take the next step in your career, we d love to hear from you!

Job Title: Cloud Target Operating Model Consultant Location: Gurgaon About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design. We help CxOs envision and build what s next for their businesses, focusing on delivering impactful solutions and driving sustainable change. Your Role: As a Cloud Target Operating Model Consultant, you will be responsible for designing and implementing cloud operating models that deliver innovation, agility, cost benefits, and faster time-to-market. You will work with clients to modernize their business operating models by focusing on multiple dimensions such as process, governance, skills, culture, tooling, technology, and organization. You will leverage and maximize clients existing IT investments and communicate with stakeholders at all levels of the organization to design and implement sustainable transformation strategies. Key Responsibilities: Design and implement cloud operating models to ensure innovation, agility, and cost-effectiveness. Take a holistic approach to modernize business operating models, covering processes, governance, tools, and organization. Integrate business operating models with cloud operating models. Lead the design, implementation, and management of cloud centers of excellence. Advise on the implementation of DevSecOps models, automation, and business change processes. Work with hybrid and multi-cloud environments, DevOps, CI/CD, and cloud strategy implementations (AWS, Azure, or GCP). Develop security and governance models for cloud engineering and operations. Drive IT and business automation across product management, engineering, and operations. Apply ITIL and service management principles to optimize operations. Your Profile: Experience working on at least one end-to-end Cloud Target Operating Model engagement. Solid understanding of Cloud Target Operating Models. Project experience in multiple areas such as Cloud Strategy, Business Case, DevOps, FinOps, etc. Proven ability to deliver advisory engagements, driving positive outcomes and opportunities for future work. Leadership experience in delivering large-scale, complex IT transformations aligned to clients strategic goals. Experience in implementing DevSecOps models and automation. Familiarity with hybrid and multi-cloud environments and cloud service models. What You ll Love About Working Here: We recognize the significance of flexible work arrangements. Whether remote work or flexible work hours, you will find the support to maintain a healthy work-life balance. At Capgemini Invent, your career growth is at the heart of our mission. Our wide range of career growth programs will help you explore a world of opportunities. Equip yourself with valuable certifications in the latest technologies, including Generative AI. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world, creating a tangible impact for enterprises and society. With a global team of 340,000 members across more than 50 countries, Capgemini is trusted by clients to unlock the value of technology. Capgemini delivers end-to-end services and solutions, leveraging capabilities in AI, cloud, and data, combined with deep industry expertise. The Group reported 22.5 billion in global revenues for 2023.

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

Job Information: Work Experience: 3+ years Industry: IT Services Job Type: FULL TIME Location: Gurgaon Key Responsibilities: Ability to drive the major incident to resolution as Incident commander and involve in the post-mortem process. Identify gaps within the current monitoring infrastructure and create/enhance tools to address them. Perform event root cause analysis using logs, tools, and available documentation. Contribute to documentation to improve resolution time. Assess the impact of the potential client or platform-wide incidents and escalate to the appropriate teams. Timely escalation of problems that could be potential risks. Experience with logging/monitoring tools (Kibana, Grafana, Prometheus, or any other standard monitoring tool). Working understanding of web infrastructure (Load balancers, application servers). Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience). 3+ Years of experience as Devops Engineer. Terraform and CI/CD configuration, pipelines, and jobs. Must have strong knowledge of Terraform. Must have experience in Python. Kubernetes understanding, CLI, service re-provisioning. Must have experience creating Helm charts and performing common k8s maintenance tasks. Minimum 3 years of experience working with containerized applications. Should have hands on experience with AWS Services. Solid understanding of system performance and monitoring. Demanding high availability of service and quality of support service to the customer. Operating system (Linux) configuration, package management, startup, and troubleshooting. Good communication skills with an ability to relay incident details expeditiously, concisely, and accurately. Strong knowledge of infrastructure and application development toward operational support. Highly motivated individual, Self-starter, and a quick learner. Extensive knowledge of Incident/Change/Problem management. Ability to write simple to moderately complex scripts and programs for automation, tools, frameworks, dashboards, alarms. (Python, TypeScript, Bash). Qualification : Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience).