Cloud Analytics Jobs in Bengaluru

Security Operations Engineer Location: Bangalore About Us FalconX is a pioneering team of operators, investors, and builders committed to transforming institutional access to the digital asset markets. By bridging traditional finance with cutting-edge technology, we address the industry's most complex challenges. We offer a comprehensive solution for all digital asset strategies from startup to scale enabling our clients to navigate the ever-evolving cryptocurrency landscape with confidence. We are seeking an experienced Security Operations Engineer to help secure FalconX s infrastructure and protect our clients digital assets. As a part of our security team, you will monitor, detect, and respond to cyber threats across both on-premise and cloud environments, ensuring the integrity and safety of our systems and data. Key Responsibilities Security Monitoring & Incident Response: Monitor and respond to security incidents across both on-premise and cloud environments, ensuring timely detection and remediation of potential threats. Threat Detection & Analysis: Analyze security alerts from various security tools to identify, investigate, and mitigate security risks. Conduct in-depth forensic investigations to identify trends, attack techniques, and vulnerabilities. Proactive Threat Hunting: Conduct proactive threat hunting across endpoints, networks, and cloud environments, looking for sophisticated and emerging threats that may not yet be detected by traditional security measures. Forensics & Incident Investigation: Investigate and analyze security incidents to identify the root cause. Provide actionable recommendations for improving security posture and preventing future incidents. Detection Engineering: Develop and refine threat detection methodologies and rules (e.g., Yara, Sigma, SQL-based rules, network protocols) to enhance security monitoring capabilities. Utilize frameworks like MITRE ATT&CK and the Cyber Kill Chain to guide threat hunting and analysis. Automation & Scripting: Leverage scripting languages (Python, PowerShell, or Bash) to automate threat detection, analysis, and response processes, improving overall efficiency and effectiveness. Threat Intelligence & Trend Analysis: Stay informed about emerging threats, vulnerabilities, and attack trends to continuously improve detection strategies and enhance the response to new security challenges. Qualifications Education & Experience Education: Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field (or equivalent experience). Experience: Minimum of 3 years in a security operations, threat hunting, or similar cybersecurity role. Security Expertise Strong experience working with security tools and log data (Cloud, EDR, Network, etc.) for detection and response. Deep understanding of network security, packet analysis, and log correlation. Proficiency in advanced threat detection methodologies and threat intelligence, with a strong grasp of attacker tactics, techniques, and procedures (TTPs), especially using frameworks like MITRE ATT&CK. Technical Skills Proficiency in scripting and automation (Python, PowerShell, Bash). Experience with detection engineering and developing custom detection rules (e.g., Yara, Sigma, SQL-based, Network). Familiarity with endpoint security, identity management, vulnerability management, cloud security, and incident response. Soft Skills Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication skills, with the ability to work effectively in a collaborative, fast-paced environment. Be part of a rapidly growing company at the cutting edge of finance and technology. A dynamic, fast-paced work environment where your expertise will directly impact business success. Competitive salary and benefits package. Opportunities for professional growth in a highly innovative industry. Qualification : Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field (or equivalent experience)

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Job Title: Embedded Developer Location: Bangalore Experience: 2 5 Years Responsibilities Debug embedded systems efficiently to identify and resolve issues. Develop embedded software for microprocessor/microcontroller-based systems. Design, develop, test, and maintain embedded software modules. Work independently with guidance from the business team to meet product objectives. Take ownership of planning and delivering components/modules within schedule and quality standards set by the product owner. Design and build highly scalable, available, and resilient cloud solution architectures related to embedded systems. Demonstrate strong analytical skills and proactively learn new technologies to enhance product capabilities. Requirements Proficient in C/C++ programming for embedded systems development. Experience in developing SDKs and libraries using C/C++. Strong Linux programming skills. Familiarity with V4L2 and LibCamera libraries. Hands-on experience in developing device drivers. Experience programming on RTOS (Real-Time Operating Systems). Proven track record in designing, coding, and testing embedded systems. Practical experience working with hardware platforms such as Raspberry Pi and other microcontroller-based boards. Excellent debugging skills for embedded software. Working knowledge of communication protocols: SPI, UART, I2C. Experience with image processing libraries such as OpenCV. Knowledge of software release management processes. Familiarity with source code management tools like GitHub and Bitbucket. Experience using CI/CD tools such as Jenkins for automated build and deployment.

Job Title: Senior Engineering Manager / Engineering Manager Location: Bengaluru Department: Information Technology Category: Others Job Purpose We are seeking an experienced and hands-on Engineering Manager with a solid technical background in Node.js, Golang, or Java. The ideal candidate is a skilled coder, capable of leading engineering teams to deliver scalable, high-quality software. You ll manage squads independently, drive cloud-native and microservices-based development, and collaborate cross-functionally to meet business goals. Experience with AWS is a strong advantage. Key Responsibilities 1. Technical Leadership Lead, mentor, and inspire engineering teams to deliver robust and efficient solutions. Provide technical guidance, enforce coding standards, and encourage best practices. 2. Full Stack Development Actively contribute to development using ReactJS, Golang, or Java. Demonstrate hands-on technical leadership through coding, design, and code reviews. 3. Architecture & Design Design and implement scalable microservices and cloud-native architectures. Ensure system reliability, security, and performance across distributed systems. 4. Squad Management Independently lead squads, ensuring timely and high-quality delivery of projects. Foster a collaborative, inclusive, and high-performance team culture. 5. Cross-Functional Collaboration Work closely with Product Managers, Designers, and other stakeholders to align tech execution with business priorities. Translate requirements into effective engineering solutions. 6. Innovation & Continuous Improvement Stay ahead of technology trends and continuously improve engineering practices. Evaluate and implement new tools, frameworks, and methodologies as needed. Required Skills & Experience Strong engineering background with proven leadership in software development roles. Expertise in Node.js, Golang, or Java with hands-on coding experience. Deep understanding of microservices and cloud-native architecture. Experience with AWS or similar cloud platforms. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Experience with Agile methodologies and DevOps practices. Familiarity with Docker, Kubernetes, and other containerization tools. Prior experience managing engineering teams in a fast-paced environment. AWS certifications are a strong plus. Proven ability to deliver complex and scalable software products. Educational Qualifications Undergraduate: B.Sc / B.Tech / BCA Postgraduate: M.Sc / M.Tech / MCA Qualification : M.Sc / M.Tech / MCA

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

Manager Adobe AEM Engineering Location: Bengaluru, India Department: Experience Engineering | Adobe AEM Type: Full-Time About the Role As a Manager Adobe AEM, you will lead the delivery of end-to-end digital experience platforms for global clients using Adobe Experience Manager and other Adobe Experience Cloud solutions. You will architect, implement, and optimize scalable enterprise content management solutions, while mentoring technical teams and working directly with clients to understand and translate business requirements into robust, scalable systems. Key Responsibilities Lead design, architecture, and implementation of large-scale AEM projects (Sites, Assets, AEM as a Cloud Service). Architect AEM components, templates, workflows, tagging, publishing, and metadata models. Define and implement cloud-native, SEO-optimized, accessible, secure, and performant digital platforms. Oversee quality processes, including CI/CD (e.g., Jenkins, Bamboo, Cloud Manager), code reviews, SonarQube, and automated testing. Manage infrastructure setup and configurations: Load Balancers, Apache, CDN, DR, and AEM environments. Collaborate across cross-functional teams including frontend (React, Angular, HTL), backend (Java), QA, and DevOps. Support content migration, integrations with eCommerce platforms (Hybris, Magento), and Digital Asset Management systems. Ensure adoption of best practices in performance, scalability, monitoring, and responsive design. Interface directly with clients for technical consulting, requirement gathering, and delivery oversight. Lead and mentor development teams (20+ members) across all project phases in Agile/Scrum environments. Required Skills & Experience 10+ years of experience in software engineering with at least 5+ in AEM development. Deep expertise in AEM architecture (including SaaS/Cloud Service, SDK), deployment (Maven), and migration planning. Proficient in Java 8/11, JCR, OSGi, Sling Models, HTL, JSP, and server-side integrations. Strong understanding of frontend development (ReactJS, Angular, Bootstrap, HTML5, CSS3, JS frameworks). Familiarity with Adobe I/O Runtime, Adobe Events, and cloud platforms (AWS, Azure, GCP). Experience with Adobe Experience Cloud tools: Target, Analytics, Campaign, Launch, Scene7. Proven success in leading full-stack delivery teams including frontend, backend, QA, and PM. Knowledge of SEO, accessibility (WCAG A, AA, AAA), performance monitoring (New Relic, AppDynamics), and analytics integration. Hands-on with monitoring and observability tools: Squid, Nagios, Zabbix, Ganglia, etc. Exposure to Agile methodologies and estimation/planning across digital project lifecycles. Bonus / Preferred Qualifications Experience integrating AEM with eCommerce (Magento, Hybris, ElasticPath). Working knowledge of microservices, containerization, and RESTful services. Adobe certifications (e.g., Adobe Certified Expert AEM Developer/Architect). Familiarity with Adobe I/O integrations and Adobe Dynamic Media. Benefits Gender-Neutral Policy 18 Paid Holidays per year Parental Leave and New Parent Transition Program Flexible Work Arrangements Employee Wellness Programs About Publicis Sapient Publicis Sapient is a premier digital transformation partner helping global enterprises redefine their future with technology. With over 20,000 professionals across 53 offices worldwide, we deliver bold digital solutions across strategy, customer experience, data, and engineering.

Data Analyst Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT / Data Analytics Job Summary: We are looking for a detail-oriented Data Analyst with strong skills in SQL, Python, and Excel to extract actionable insights and optimize data pipelines on popular cloud platforms. The ideal candidate will be passionate about clean, reproducible code and thrive in a collaborative team environment. Key Responsibilities: Write efficient SQL queries and develop data extraction, transformation, and loading (ETL/ELT) pipelines on cloud platforms Automate data extraction and data insertion into Management Information Systems (MIS) using Python Analyze data sets and extract actionable business insights to support decision-making Maintain high standards of data quality and ensure reproducible, clean code Collaborate effectively with cross-functional teams and communicate findings clearly Continuously learn and adapt to new analytics tools and techniques Preferred Skills & Qualifications: Strong proficiency in SQL, Python, and Excel Experience building and optimizing data pipelines on cloud platforms such as Google Cloud Platform (GCP) Familiarity with Google BigQuery, Metabase, CleverTap, Google Data Studio, Firebase, and Google Analytics Hands-on experience with data visualization tools like Tableau and Google Data Studio Knowledge of ETL/ELT pipeline development and data flow architecture Excellent attention to detail with a passion for clean and efficient coding Strong interpersonal and communication skills to work collaboratively with diverse teams Good to Have: Experience with automated reporting and dashboard creation Prior exposure to marketing analytics tools and user behavior tracking Work with cutting-edge cloud data technologies and analytics tools Opportunity to grow your skills in data engineering and visualization Collaborative work culture focused on continuous learning and innovation

Senior Financial Data Analytics Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Finance Staff Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation with AI and data solutions like Cognite Atlas AI and Cognite Data Fusion. Recognized for innovation and impact, we serve industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview We re looking for a data-driven FP&A Data Analyst to strengthen our financial data infrastructure, deliver impactful analytics, and support decision-making through automation and reporting. You ll collaborate across Finance, Revenue Ops, and other teams, and contribute to FP&A software implementation and management. Key Responsibilities Build and maintain a scalable, reliable financial data foundation. Develop insightful Power BI dashboards and reports to aid financial planning and forecasting. Perform deep-dive analyses on financial trends and business drivers. Automate reporting processes and streamline data workflows. Collaborate with FP&A, Accounting, and BI teams to align insights with business goals. Support FP&A software selection, implementation, and ongoing management. Handle ad-hoc data requests, financial modeling, and scenario planning. Your Profile Bachelor s degree in Finance, Accounting, Economics, Data Science, or related (Master s/MBA preferred). 5 8 years of FP&A, data modeling, and financial reporting experience. Strong skills in Power BI (or Tableau), advanced SQL, and financial modeling. Experience automating reporting and managing FP&A tools. Familiarity with ERP/financial systems (e.g., NetSuite). Detail-oriented, analytical thinker with excellent communication and collaboration skills. SaaS/technology industry experience and project management skills are a plus. Inclusive culture with 70+ nationalities and strong DEI focus. Modern, collaborative office in Bengaluru with hybrid work options. Flat organizational structure with direct access to decision-makers. Opportunity to work on impactful projects alongside top industry talent. Engage in Cognite community events and contribute to innovative digital transformation efforts. Excited to help shape the future of financial analytics at Cognite? Apply now! Qualification : Bachelors degree in Finance, Accounting, Economics, Data Science, or related (Masters/MBA preferred).

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).

SAP Delivery Manager Location: Bangalore Experience: 10 12 Years Employment Type: Full-time About Fingent At Fingent, we believe technology has the power to transform lives those who use it, build it, and benefit from it. We create software that is elegant, functional, and impactful, helping organizations solve complex challenges. We nurture a culture where talented individuals thrive and grow, bringing the best to themselves, their peers, and their clients. Role Overview We are looking for an experienced SAP Delivery Manager to lead and drive SAP S/4HANA implementation and migration projects. This leadership role requires deep technical expertise, outstanding communication skills, and strong experience managing delivery teams and enterprise clients. Key Responsibilities Lead end-to-end delivery of SAP projects, from scope definition to successful deployment. Provide architectural guidance to align SAP solutions with client business goals. Translate customer needs into technical specifications and functional solutions. Guide and support engineering teams during configuration, development, and deployment. Oversee resource allocation, team onboarding, and performance monitoring. Collaborate with stakeholders and executive teams to ensure transparency and alignment. Facilitate agile ceremonies including sprint planning, reviews, and retrospectives. Ensure high technical integrity and quality standards across SAP solutions. Manage project risks and ensure timely issue resolution. Provide mentorship and structured growth opportunities to team members. Maintain up-to-date documentation, project reports, and executive briefings. Required Skills and Experience 10 12 years of experience in SAP S/4HANA solution consulting, delivery, or systems integration. In-depth knowledge of SAP modules: FICO, MM, PP, SD, PLM, and APO. Strong ABAP development skills and expertise with interface technologies (Web Services, REST APIs, Java connectors). Solid understanding of SAP best practices and security concepts. Proven experience in SAP S/4HANA migration and greenfield/brownfield projects. Experience delivering technical demos and presenting to executive stakeholders. Exceptional communication, leadership, and team management skills. Ability to anticipate project risks and proactively mitigate them. Experience in mentoring, training, and upskilling technical teams. Preferred Traits Strategic thinker with attention to detail and strong problem-solving abilities. Strong interpersonal skills with a collaborative and inclusive mindset. Passion for innovation and continuous improvement.

Analytics Lead/Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: As a BI Architect, you will work on both offshore and onsite client projects. Your responsibilities will involve working with Oracle BI Applications, OAC (Oracle Analytics Cloud), and ODI (Oracle Data Integrator) implementations. You will engage with clients to understand their requirements, lead technical designs, and oversee system and integration testing using Oracle methodologies. You will also contribute to PreSales, the creation of Go-to-Market (GTM) strategies, and take the lead in developing IP/solution accelerators. Additionally, you will be responsible for owning the technical delivery of large, complex projects. Responsibilities: Lead Oracle BI Applications, OAC, and ODI implementations. Interact with clients to understand and gather business requirements. Oversee technical design, development, and system/integration testing. Contribute to PreSales activities and the creation of Go-to-Market (GTM) strategies. Lead the development of IP/solution accelerators. Own the technical delivery of large and complex projects. Required Skills: BI (Business Intelligence) expertise. Experience with Oracle Data Integrator (ODI). This position offers the opportunity to work on cutting-edge analytics technologies and deliver impactful solutions in a collaborative and dynamic environment. If you have significant experience in Oracle BI and ODI implementations, and enjoy leading large, complex projects, we would love to hear from you.

OpenBMC Developer Location: Bangalore, Karnataka, India Experience: 2 10 Years Job Type: Full-Time Education: Bachelor s Degree (Master s preferred) Industry: Technology / Firmware Development Company: IBM India Systems Development Lab (ISDL) Introduction: IBM is one of the world s largest and most innovative technology companies, operating in over 170 countries. With a legacy of more than 100 years, IBM is at the forefront of global transformation, reshaping industries through the power of Cloud, AI, Analytics, Security, Mobile, and IoT. At IBM, we believe in doing work that matters. We re building a smarter business and a better world and we want bright, driven minds like yours to join us. This is your opportunity to become an essential part of a company that fosters creativity, growth, and the pursuit of innovation. About the Role: As a Firmware Developer in our India Systems Development Lab (ISDL), you will contribute to the design and development of features for IBM's next-generation enterprise Power servers. Working within the global WW Firmware Development Organization, you will focus on cutting-edge development on the OpenBMC stack, helping shape the future of server infrastructure. Your Responsibilities: Design and develop firmware components and features independently and collaboratively. Work on the OpenBMC stack, contributing to the architecture and feature development for IBM Power systems. Collaborate with cross-functional, global teams in an Agile environment. Participate in code reviews, debugging, and hardware bring-up activities. Ensure the delivery of high-quality, efficient, and scalable code. Required Technical and Professional Expertise: 2 10 years of relevant industry experience. Strong programming skills in Modern C++ (including STL, data structures, and design patterns). Solid understanding of Linux operating systems, with hands-on experience across various flavors. Experience with open-source tools and scripting: Git, Gerrit, Jenkins, Bitbake, Python/Perl. Excellent debugging and problem-solving skills. Ability to work independently as a self-starter and as part of a global agile team. Preferred Technical and Professional Experience: Prior experience in OpenBMC development. Exposure to server management protocols: Redfish, REST, HTTP. Familiarity with hardware abstraction, including protocols like I2C, SPI, GPIO and Device Tree manipulation. Understanding of networking concepts (Socket programming, SSL, certificates, Linux firewalls). Experience with C++17 or C++20 standards is highly desirable. Involvement in hardware bring-up or low-level firmware debugging is a strong plus. Work on industry-leading systems powering the world's critical infrastructure. Collaborate with global innovators across cutting-edge domains. Enjoy a workplace that values diversity, learning, and career growth. Be part of a company committed to building a smarter planet. Qualification : Bachelors Degree (Masters preferred)

Software Development Manager CephFS Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: Senior / Leadership Company: IBM Ceph Engineering Team Education: Bachelor s Degree (Master s preferred) Introduction: At IBM, we re not just redefining business we re redefining what s possible through technology, collaboration, and innovation. As one of the world's leading technology companies, IBM is transforming industries through the power of AI, Cloud, Analytics, Security, and IoT. With a presence in over 170 countries, we bring together diverse minds to solve complex challenges and build a smarter future. Join IBM s Ceph Engineering Organization and be a part of shaping the future of software-defined distributed storage. We're looking for an experienced and visionary Software Development Manager to lead the CephFS team the group responsible for the file system layer of the Ceph ecosystem. About the Role: As a Software Development Manager for CephFS, you ll play a key leadership role in designing, developing, and delivering new capabilities in CephFS, the scalable and highly available POSIX-compliant distributed file system built atop Ceph. You ll lead a global team of engineers, working in an open-source community, to develop enterprise-grade storage solutions for modern workloads. You will focus on building next-generation distributed file system features like instant cloning, file overlays, coherent snapshots, and advanced client-side caching. This role is a mix of hands-on technical leadership and people management, with strong collaboration across open-source communities, IBM product teams, and clients. Key Responsibilities: Lead and mentor a team of talented engineers working on CephFS. Drive the design and implementation of new distributed features and algorithms for file system scalability, performance, and resiliency. Collaborate with the global Ceph open-source community to contribute and review code, resolve issues, and plan new features. Guide the team in debugging complex production issues, both live and offline. Collaborate with client-facing and support teams to perform root cause analysis for customer-reported issues. Contribute to the architecture and roadmap of CephFS in alignment with product and client needs. Engage in code reviews, triaging, and architectural discussions. Promote engineering best practices and a culture of continuous improvement. Required Skills & Experience: Bachelor s degree in Computer Science or related field. Strong experience working with C++ or other systems programming languages. Excellent debugging skills (live system and core file analysis). Hands-on experience in open-source development (preferably with contributions to GitHub). Good understanding of large-scale codebases and the ability to design and implement major features or changes. Comfortable working with Python for automation and testing. Proficiency with Git and GitHub workflows. Excellent verbal and written English communication skills to coordinate with a distributed, global team. Proven ability to mentor and support engineers while driving technical excellence. Preferred Qualifications: Master s degree in Computer Science or related field. Experience in building or maintaining file systems or distributed storage platforms. Prior work in distributed systems, high-performance computing, or cloud-native storage. Experience working in remote/distributed teams. Familiarity with systems like OpenStack, Kubernetes, or NFS-Ganesha. Work with world-class engineering teams on products that power global enterprise infrastructure. Be part of a vibrant open-source community, contributing to widely adopted storage technologies. Enjoy a culture of continuous learning, innovation, and impact. Competitive salary, benefits, and flexible work arrangements. Be essential. Be a leader in redefining how the world stores and accesses data. Apply today to join IBM s CephFS team and help build the future of enterprise file storage. Qualification : Bachelors degree in Computer Science or related field.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

Job Title: Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud) Job Summary As a Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team and work with the product team as an advocate of your customers in the field. You will help our customers achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field while finding solutions to our customers' biggest challenges in big data, analytics, data engineering, and data science problems. You will report to the Solutions Architect (SA) Manager. The Impact You Will Have You will be a Big Data Analytics expert on aspects of architecture and design. Engage with the technical community by leading presentations, workshops, seminars, and meet-ups. Lead your clients through evaluating and adopting Databricks, including hands-on Spark programming and integration with the wider cloud ecosystem. Support your customers by authoring reference architectures, how-tos, and demo applications. Integrate Databricks with 3rd-party applications to support customer architectures. Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value. What We Look For Consulting, pre-sales, or post-sales experience working with external clients across a variety of industry markets. Core strength in either data engineering or data science is advantageous. 5+ years of experience demonstrating technical concepts, including presenting and white-boarding. 4+ years of experience designing architectures within a public cloud (AWS, Azure, or GCP). 4+ years of experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. Solid coding experience in Python, R, Java, Spark, or Scala. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.

Job Title: Site Reliability Engineer (SRE) General Summary: We are seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join our dynamic team. This role is critical in ensuring the stability, scalability, and security of our infrastructure and services. As an SRE, you will work collaboratively with software engineers, data scientists, and product managers to optimize system reliability while driving automation and continuous improvement. You will be responsible for modernizing traditional services, implementing cutting-edge technology, and proactively managing infrastructure to maintain operational excellence. If you are passionate about automation, DevSecOps, system performance, and infrastructure resilience, this role offers an exciting opportunity to make a meaningful impact. Key Responsibilities: System Monitoring & Incident Response: Continuously monitor system health, detect anomalies, and respond to incidents promptly. Investigate and troubleshoot service-related issues, ensuring minimal disruption. Implement proactive measures to prevent downtime and optimize system stability. Infrastructure Automation & DevOps Implementation: Develop and maintain Infrastructure-as-Code (IaC) scripts to automate deployments and scaling. Automate routine operational tasks to improve efficiency and reduce manual intervention. Leverage DevSecOps practices to ensure secure and resilient deployments. Performance Optimization & Capacity Planning: Collaborate with development teams to enhance software performance and system responsiveness. Identify and resolve system bottlenecks to improve speed, efficiency, and reliability. Forecast resource requirements based on traffic patterns and business growth. Security, Compliance & Risk Management: Implement security best practices and compliance measures across all infrastructure layers. Conduct security audits and ensure systems meet industry-standard security guidelines. Proactively assess and mitigate risks associated with infrastructure and deployments. Required Qualifications & Skills: Technical Expertise: Extensive experience with Linux-based environments (Ubuntu, RedHat), including system administration and troubleshooting. Strong proficiency in scripting and automation using Python, Bash, or Go. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with CI/CD pipelines and tools like Jenkins, Puppet, Vault, and Splunk. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Problem-Solving & Leadership: Strong analytical skills with the ability to diagnose and resolve complex system issues. Self-driven, highly motivated, and able to work independently in a fast-paced environment. Ability to collaborate cross-functionally and communicate technical solutions effectively. Security & Reliability Focus: Solid understanding of DevSecOps principles and secure system design. Ability to implement monitoring, logging, and alerting solutions to maintain system resilience. Passion for continuous learning and leveraging data-driven approaches for system improvement. Work in a high-impact role that directly contributes to the reliability and scalability of mission-critical systems. Be part of an innovative, forward-thinking team that values automation, collaboration, and continuous improvement. Competitive salary, professional development opportunities, and an environment that fosters growth and innovation. If you are a passionate, results-driven SRE, we invite you to join us and play a pivotal role in shaping the future of our infrastructure.

Senior Technical Lead FAW, Data Modelling, & OBIEE Location: Remote / Bangalore, India Experience: 7-12 Years About the Role We are seeking a Senior Technical Lead with deep expertise in Fusion Analytics Warehouse (FAW), Data Modelling, and OBIEE to design and implement cutting-edge enterprise analytics solutions. This role requires hands-on experience in FAW customization, OBIEE development, data integration, and ETL/ELT processes. As a key technical leader, you will work closely with internal teams and stakeholders to develop scalable, high-performance analytics solutions, ensuring alignment with business goals. Key Responsibilities FAW & OBIEE Development Lead the design, development, and deployment of enterprise analytics solutions using Fusion Analytics Warehouse (FAW) and OBIEE. Implement and manage FAW solutions, ensuring alignment with business requirements. Customize FAW dashboards and reports to meet specific organizational needs. Data Modelling & Integration Design, develop, and maintain robust data models, including dimensional modelling and star schema design. Provide expertise in ETL/ELT processes and data integration to support seamless data flow. Work with Oracle, SQL Server, and other database management systems to optimize data performance. OBIEE Development & Optimization Develop and maintain OBIEE reports, dashboards, and metadata repository (RPD). Troubleshoot and optimize OBIEE performance, ensuring scalability and reliability. Ensure data security and compliance across FAW, OBIEE, and related analytics platforms. Collaboration & Stakeholder Engagement Provide technical expertise in data integration, reporting, and visualization to internal teams and stakeholders. Effectively communicate complex technical concepts to non-technical stakeholders. Collaborate with cross-functional teams to ensure timely and successful project delivery. Required Qualifications & Skills Education & Experience Graduate degree in Computer Science, Information Technology, or a related field. 7-12 years of experience in enterprise analytics and business intelligence. Technical Expertise Fusion Analytics Warehouse (FAW): Hands-on experience in customization and deployment. Data Modelling: Strong knowledge of dimensional modelling and star schema design. OBIEE: Expertise in RPD development, dashboard/report creation, and performance tuning. ETL/ELT: Strong understanding of data integration processes and tools. SQL & Databases: Proficiency in Oracle, SQL Server, and other database management systems. Cloud Analytics: Familiarity with Oracle Cloud Infrastructure (OCI) and Oracle Analytics Cloud (OAC). Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Lead Cutting-Edge Analytics Initiatives Work with FAW, OBIEE, and cloud-based analytics platforms. Career Growth Opportunities for learning, upskilling, and career advancement. Collaborative Environment Work alongside industry experts in a dynamic, innovative culture. Comprehensive Benefits Competitive salary, remote work flexibility, and a supportive work environment. Join Our Team & Shape the Future of Enterprise Analytics! If you are passionate about data analytics, FAW, and OBIEE, we encourage you to apply! Apply Now! Qualification : Graduate degree in Computer Science, Information Technology, or a related field.

What Gramener Offers You Gramener provides an inviting workplace with talented colleagues from diverse backgrounds, clear career paths, and steady growth prospects. We offer ample opportunities to innovate and be part of an ecosystem focused on building easily configurable data applications for storytelling with data in both public and private sectors. Roles and Responsibilities Design, implement, and manage CI/CD pipelines using Azure Pipelines for automated build, test, and deployment processes. Manage source control with Azure Repos and integrate version control practices into development workflows. Set up project management and tracking with Azure Boards, collaborating across development, QA, and operations teams. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform, ARM templates, and Bicep. Implement and maintain Docker containerization and orchestrate applications with Azure Kubernetes Service (AKS). Monitor application performance and system health using Azure Monitor, Application Insights, and Log Analytics. Implement DevSecOps practices, managing secrets with Azure Key Vault and ensuring security best practices. Optimize Azure cloud resources for performance and cost efficiency, utilizing auto-scaling features for scalability. Collaborate with cross-functional teams to troubleshoot and resolve pipeline and infrastructure issues. Manage cloud storage, databases, and networking using Azure Storage, Azure SQL Database, and Azure Virtual Networks. Skills and Qualifications 5+ years of experience with Azure DevOps tools: Azure Pipelines, Azure Repos, Azure Boards, and Azure Artifacts. Proficiency in Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep. Hands-on experience with Docker and Kubernetes (AKS) for container orchestration. Strong knowledge of monitoring and logging tools: Azure Monitor, Application Insights, and Log Analytics. Familiarity with Azure cloud services: Azure Storage, Azure SQL Database, Azure Virtual Networks, and Azure Key Vault. Scripting skills with PowerShell, Bash, or Python. About Us At Gramener, we help organizations make data-driven decisions by providing strategic data consulting and laying out roadmaps for data transformation. Our services focus on converting data into a strategic differentiator through data visualization, analysis, and custom solutions, enabling clients to derive actionable insights from large datasets.

about the role Cloud Architect will deliver hands-on, business-oriented strategic and technical consulting to our clients for cloud infrastructure, automation solutions and solution architecture. key responsibilities This position will be responsible to consult with the clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other. Be the first one to experiment on new age cloud offerings, help define the best practise as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels. Continually augment skills and learn new tech as the technology and client needs evolve Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers. Provide leadership to project teams, and facilitates the definition of project deliverables around core Cloud based technology and methods. Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results. Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in google cloud platform / Amazon Web Service preferred qualifications Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So unfortunately we might have to look for Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. Not just degree, but we are not too thrilled by tech certifications too ... :) To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong desire to deliver' outlives those fancy degrees! 3 - 8 years of experience with at least 2 - 3 years of hands-on experience in Cloud Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise environment. Good analytical, communication, problem solving, and learning skills. Knowledge on programming against cloud platforms such as Google Cloud Platform and lean development methodologies.

Job Overview As a Cloud Revenue Operations & Transformation Analyst at IBM, you will be the primary point of contact for all Cloud billing-related inquiries from internal teams and external clients. Your role will focus on ensuring accurate client billing and revenue recognition by streamlining the end-to-end (E2E) quote-to-revenue process, including quoting, order management, billing, and provisioning. This involves working closely with sales, finance, Cloud BSS (Billing Support Systems), and product management teams to deliver operational excellence and ensure accurate, timely billing and revenue recognition in line with cloud consumption models. Key Responsibilities 1. Ordering and Contract Management Collaborate with the IBM Q2C (Quote to Cash) team to ensure data accuracy and governance throughout the quoting and billing process. Work with sales to support quote creation, approvals, and deal structuring for non-standard contracts. Evaluate sales requests to ensure contract terms are supported with Cloud GTM and BSS product management. 2. Billing and Invoicing Monitor usage-based billing for Cloud services, including subscriptions and Enterprise Savings Plans. Validate and reconcile billing data to ensure accuracy and timely invoicing. Address customer billing inquiries and resolve disputes. Reconcile invoices with cloud consumption, contracts, and BSS systems. 3. Cloud Consumption and Provisioning Oversight Monitor cloud consumption data and align it with client contracts. Oversee provisioning activities, troubleshoot activation or setup issues. Provide insights into consumption trends and offer optimization recommendations. Collaborate with product management, client success managers, and BSS analytics to address billing impacts. 4. Reporting and Analytics Generate reports on key metrics, billing performance, and cloud consumption. Identify performance gaps and alert sales and client success teams. Provide recommendations for improving revenue recognition and operational efficiency. Track concessions, credits, and manual adjustments affecting revenue. 5. System and Data Inputs Manage reconciliation for non-ESP (Enterprise Savings Plan) commercial models like DSW, CFTS, IMS. Conduct post-contract model migration audits for pricing. Analyze and improve E2E workflows, particularly system integrations between pipeline, quotes, orders, BSS, and billing applications. Provide recommendations for system enhancements to resolve process gaps. 6. Collaboration and Optimization Partner with cross-functional teams such as Finance, BSS, Client Success Managers, and Sales to align on billing transformation objectives. Ensure compliance with revenue recognition rules and timelines. Identify gaps in processes and implement improvements to enhance efficiency, accuracy, and scalability. Required Qualifications Education: Bachelor's Degree in a relevant field. Skills & Experience: Strong understanding of cloud consumption and provisioning processes. Proficiency in quoting, entitlement, and billing applications. Excellent analytical, problem-solving, and organizational skills. Strong communication skills with the ability to engage both Cloud and IBM stakeholders. Preferred Qualifications Education: Master's Degree in a relevant field. Skills & Experience: Ability to learn and configure quoting and billing applications. Strong attention to detail and organizational skills.