5 Cloud Ecosystems Jobs

About the Tech@Lilly Organization: Tech@Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Tech@Lilly is that we create new possibilities through tech to advance our purpose u2013 creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of the enterprise. About the Business Function: Tech@Lilly Business Units is a global organization strategically positioned so that through information and technology leadership and solutions, we create meaningful connections and remarkable experiences, so people feel genuinely cared for. The Business Unit organization is accountable for designing, developing, and supporting commercial or customer engagement services and capabilities that span multiple Business Units (Bio-Medicines, Diabetes, Oncology, International), functions, geographies, and digital channels. The areas supported by Business Unit includes: Customer Operations, Marketing and Commercial Operations, Medical Affairs, Market Research, Pricing, Reimbursement and Access, Customer Support Programs, Digital Production and Distribution, Global Patient Outcomes, and Real-World Evidence. Job Title: BU Master Data Associate Director - Ops The Associate Director u2013 Data Operations will lead a global team responsible for round-the-clock (24x7) data platform operations, ensuring uptime, performance, and reliability across regions and time zones. This role demands strong leadership in managing incident resolution, service requests, and proactive monitoring to meet SLAs and deliver uninterrupted business continuity. The ideal candidate will drive the transformation of operations through intelligent automation and AIu2014implementing AIOps, anomaly detection, root cause prediction, and self-healing mechanisms to reduce manual interventions and accelerate issue resolution. This role involves close collaboration with engineering, infrastructure, and business teams, as well as transparent reporting of KPIs and operational metrics to senior leadership. The candidate will foster a culture of continuous improvement, team accountability, and operational excellence. Success in this role requires deep expertise in managing complex data environments, people leadership, process maturity, and a passion for using technology to solve operational challenges. What youu2019ll be doing: Lead and manage a global Data Operations team providing 24x7 support for data platforms, pipelines, and critical business services. Oversee incident and problem management, ensuring timely resolution of tickets within defined SLAs and proactive reduction of recurring issues. Drive operational efficiency through the adoption of AIOps capabilities such as anomaly detection, automated alerting, root cause analysis, and self-healing workflows. Collaborate with engineering, DevOps, and infrastructure teams to ensure stable and scalable data environments across cloud and on-prem platforms. Define and monitor KPIs and operational dashboards, sharing insights and performance metrics with senior leadership on a regular cadence. Develop and standardize processes for change management, deployment governance, capacity planning, and business continuity. Lead continuous improvement initiatives including playbook automation, runbook maturity, and knowledge base development. Foster a high-performance, agile team culture with strong accountability, cross-training, and career growth pathways. Ensure adherence to security, compliance, and audit requirements in daily operations. Act as the escalation point for critical incidents and interface with business stakeholders for timely communication and impact management. How You Will Succeed:u00A0 Lead with accountability: Set clear expectations, inspire high performance, and build a culture of ownership and continuous improvement within your operations team. Champion AI and automation: Identify opportunities to implement AIOps and automation that reduce manual intervention, improve incident response, and enhance system reliability. Ensure operational excellence: Monitor KPIs, SLAs, and system health metrics to proactively manage risks, maintain uptime, and deliver superior service levels globally. Communicate with impact: Translate operational performance, root cause trends, and insights into clear updates for senior leadership and cross-functional stakeholders. Drive cross-functional collaboration: Work closely with engineering, infrastructure, and business teams to streamline issue resolution, enable platform scalability, and improve user experience. Enable continuous learning: Promote knowledge sharing, playbook development, and skill advancement across the team to improve response quality and reduce ticket turnaround time. Navigate complexity: Manage high-pressure situations across time zones, ensuring smooth handoffs, consistent service, and clear escalation paths for critical incidents. What You should Bring: Proven expertise in managing 24x7 operational support , incident management, and ensuring adherence to SLAs in data engineering or analytics environments. Strong understanding of data platforms, ETL pipelines, and cloud ecosystems (AWS, Azure, or GCP). Experience implementing or working with AIOps platforms to automate alerting, resolution workflows, and root cause analysis. Demonstrated ability to lead large-scale operations teams , manage shift-based models, and drive process standardization and improvement. Strong interpersonal and stakeholder engagement skills, with the ability to communicate effectively with engineering, product, and senior leadership . Excellent problem-solving skills with a data-driven mindset and comfort handling ambiguity in high-pressure environments. Familiarity with tools like ServiceNow, Jira , or similar for operational tracking and reporting. Basic Qualifications and Experience Requirement: Bacheloru2019s or Masteru2019s degree in Computer Science, Information Systems, Data Engineering, or a related field. 12+ years of total experience in IT/data operations, with at least 3 years in a senior leadership or operations lead role. Proven experience managing mission-critical data operations in a 24x7 environment , preferably in a global, matrixed organization. Strong background in ETL workflows, orchestration tools (e.g., Apache Airflow, Control-M) , and cloud-based data pipelines. Exposure to incident, change, and problem management processes , aligned with ITIL or SRE frameworks . Familiarity with AIOps tools and practices to drive intelligent automation and issue resolution. Experience managing onshore/offshore teams and working across multiple time zones . Demonstrated ability to define and report on KPIs/SLAs for operational performance and team productivity. Additional Skills/Preferences: Domain experience in healthcare, pharmaceutical ( Customer Master, Product Master, Alignment Master, Activity, Consent etc.u00A0 ), or regulated industries is a plus. Partner with and influence vendor resources on solution development to ensure understanding of data and technical direction for solutionsu00A0as well as delivery AWS Certified Data Engineer - Associate Databricks Certified Data Engineer (Associate or Professional) AWS Certified Architect (Associate or Professional) Familiarity with AI/ML workflows and integrating machine learning models into data pipelines Additional Information: N/A Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form () for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lillyu00A0does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. As an AI Engineer at EY, your role involves leading the design, development, and deployment of advanced generative AI models, including large language models (LLMs), to drive innovation and solve complex business challenges. You will oversee the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes. Additionally, you will work on developing and deploying machine learning algorithms, ensuring that models are optimized for performance and scalability. In this position, you will also have the opportunity to mentor and guide junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools. Collaboration with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact, is a key aspect of this role. Key Responsibilities: - Implementing AI solutions that seamlessly integrate with existing business systems to enhance functionality and user interaction. - Reviewing complex data sets to establish data quality and identifying where data cleansing is required for data remediation. - Designing and implementing data models to manage data within the organization. - Migrating data from one system to another using multiple sources and identifying and implementing storage requirements. - Analyzing the latest trends such as cloud computing and distributed processing, and their applications in business to build industry knowledge. - Peer reviewing models and collaborating with relevant business areas to ensure they are fit for the designed purpose. - Automating essential infrastructure for the data science team. - Staying up-to-date with AI trends and suggesting improvements to existing systems and workflows. Skills and Attributes for Success: - 8+ years of experience in machine learning, large scale data acquisition, transformation, and cleaning, for both structured and unstructured data. - Experience with generative LLM fine-tuning and prompt engineering. - Proficiency in data wrangling, visualization, and modeling in Python. - Experience in ML/NLP algorithms, including supervised and unsupervised learning. - Good knowledge of cloud ecosystems, with preference for experience in Azure. - Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib). - Strong programming skills in Python. - Experience with tools in distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus. - Experience with SQL, Document DBs, and Vector DBs. - Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period. - Data Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization. - Knowledge of containerization platforms like Docker is a plus. - Experience with Git and modern software development workflow. Non-Technical Skills: - Strong team and business communication skills to effectively communicate with technical clients or explain complex concepts to non-technical individuals. - Ability to thrive in a fast-paced environment and work independently. - Excellent communication skills. Education: - Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences, or related fields preferred. What we look for: - Strong analytical skills and problem-solving ability. - A self-starter, independent-thinker, curious, and creative person with ambition and passion. - Excellent inter-personal, communication, collaboration, and presentation skills. - Customer-focused. - Excellent time management skills. - Positive and constructive mindset. - Takes responsibility for continuous self-learning. - Takes the lead and makes decisions in critical times and tough circumstances. - Attention to detail. - High levels of integrity and honesty. EY | Building a better working world EY exists to build a better working world, helping create long-term value for clients, people, and society while building trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

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 to help CxOs envision and build what's next for their businesses. Engage with project activities across the Information lifecycle, often related to paradigms like building & managing Business data lakes and ingesting data streams to prepare data, developing machine learning and predictive models to analyze data, visualizing data, empowering Information consumers with agile Data Models that enable Self-Service BI, specializing in Business Models and architectures across various Industry verticals. Participate in business requirements/functional specification definition, scope management, data analysis and design, in collaboration with both business stakeholders and IT teams, document detailed business requirements, develop solution design, and specifications. Your Profile: - B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background - Strong communication, facilitation, relationship-building, presentation, and negotiation skills - Consultant must have a flair for storytelling and be able to present interesting insights from the data - Consultant should have good Soft skills like good communication, proactive, self-learning skills, etc. - Consultants are expected to be flexible to the dynamically changing needs of the industry - Must have good exposure to Database management systems - Good to have knowledge about the big data ecosystem like Hadoop - Hands-on with SQL and good knowledge of noSQL based databases - Good to have working knowledge of R/Python language - Exposure to/Knowledge about one of the cloud ecosystems Google/AWS/Azure What you will love about working here: We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.,

You have very good knowledge of Snowflake data warehouse, data infrastructure, data platforms, ETL implementation, data modelling, and design. You should be able to gather, view, and analyze data effectively. Apply statistical and data analysis techniques to identify patterns, trends, correlations, and anomalies in large datasets. Utilize advanced analytical tools and programming languages (e.g., Python, R, SQL) to conduct exploratory data analysis. Develop and implement data models to support predictive and prescriptive analytics. You should have strong hands-on experience in writing SQLs, both basic and complex. Good knowledge of Snowflake cloud data platform is essential for this role. Your responsibilities will include connecting to data sources, importing data, and transforming data for Business Intelligence purposes. Create clear and informative visualizations (charts, graphs, dashboards) to present insights to non-technical stakeholders. You should have strong exposure to visualization, transformation, data analysis, and formatting skills. Develop interactive dashboards and reports using data visualization tools (e.g. Snowsight, Tableau, Power BI) to facilitate data-driven decision-making. It would be good to have knowledge of the Finance and Accounting domain. Familiarity with cloud ecosystems is also a plus. You should be able to back track and do deep analysis of issues to provide Root Cause Analysis. Having good testing and documentation skills is important for this role. Effective communication skills are crucial as you will be in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success. You should possess the ability to be creative and analytical in a problem-solving environment. Adaptability to new environments, people, technologies, and processes is key. You must be able to manage ambiguity and solve undefined problems. Please note that only candidates who can join within 15-20 days should apply for this position.,

As a Rockstar Cloud Delivery Executive, you will have the opportunity to lead an elite squad of cloud consultants and technical architects in driving massive digital transformation across global markets, specifically the US and Europe. Your role will involve masterminding end-to-end enterprise cloud implementation strategies that redefine cloud performance, cost optimization, and user experience. You will be responsible for architecting game-changing deployment plans that maximize business ROI, accelerate technology adoption, and transform complex cloud ecosystems through cutting-edge architectural insights. In this Cloud Transformation Leadership Role, you will orchestrate support operations by translating customer needs into breakthrough product innovations. Your key performance mandate will include rapid, strategic cloud solution deployment, enterprise-grade architectural optimization, and ensuring customer success through technical excellence. As a visionary cloud transformation leader and strategic problem solver, you will be expected to possess a technical architect with a business acceleration mindset. The ideal candidate for this position will be a disruptive and visionary leader with over 10 years of experience in leading customer delivery and implementation teams, with a minimum of 3 years in a leadership role. You should have proficiency in at least one public cloud platform such as AWS, Azure, or GCP and a proven track record of delivering complex projects and deploying solutions for large enterprise customers, particularly in the US market. Additionally, experience in building processes, setting up teams, and driving operational efficiency is required. Excellent interpersonal and organizational skills, along with strong customer relationship, communication, and presentation abilities, are essential for managing multiple high-priority tasks simultaneously. If you are looking to unleash your potential with sky-high growth, radical autonomy, and ESOPs that could turn your future into a financial rocket ship, we invite you to connect with us by writing to rajeshwari.vh@careerxperts.com. Join our team of visionary tech pioneers who are disrupting global cloud infrastructure paradigms and redefine enterprise innovation through cutting-edge data science and workflow automation technologies. Disrupt, deliver, and dominate in this exciting Cloud Delivery Executive role!,