2761 Cloud Computing Jobs - Page 16

What youll do You will play an important role in applying and implementing effective machine learning solutions, with a significant focus on Generative AI. You will work with product and engineering teams to contribute to data-driven product strategies, explore and implement GenAI applications, and deliver impactful insights. This positionis an individual contributor role reporting to the Senior Manager, Data Science. Responsibility Experiment with, apply, and implement DL/ML models, with a strong emphasis on Large Language Models (LLMs), Agentic Frameworks, and other Generative AI techniques to predict user behavior, enhance product features, and improve automation Utilize and adapt various GenAI techniques (e.g., prompt engineering, RAG, fine-tuning existing models) to derive actionable insights, generate content, or create novel user experiences Collaborate with product, engineering, and other teams (e.g., Sales, Marketing, Customer Success) to build Agentic system to run campaigns at-scale Conduct in-depth analysis of customer data, market trends, and user insights to inform the development and improvement of GenAI-powered solutions Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests, particularly for GenAI-driven features Leverage data to develop actionable analytical insights & present findings, including the performance and potential of GenAI models, to stakeholders and team members Communicate models, frameworks (especially those related to GenAI), analysis, and insights effectively with stakeholders and business partners Stay updated on the latest advancements in Generative AI and propose their application to relevant business problems Complete assignments with a sense of urgency and purpose, identify and help resolve roadblocks, and collaborate with cross-functional team members on GenAI initiatives Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a positions job designation depending on business needs and as permitted by local law. What you bring Basic Bachelors or Masters degree in Computer Science, Physics, Mathematics, Statistics, or a related field 3+ years of hands-on experience in building data science applications and machine learning pipelines, with demonstrable experience in Generative AI projects Experience with Python for research and software development purposes, including common GenAI libraries and frameworks Experience with or exposure to prompt engineering, and utilizing pre-trained LLMs (e.g., via APIs or open-source models) Experience with large datasets, distributed computing, and cloud computing platforms (e.g., AWS, Azure, GCP) Proficiency with relational databases (e.g., SQL) Experience in training, evaluating, and deploying machine learning models in production environments, with an interest in MLOps for GenAI Proven track record in contributing to ML/GenAI projects from ideation through to deployment and iteration Experience using machine learning and deep learning algorithms like CatBoost, XGBoost, LGBM, Feed Forward Networks for classification, regression, and clustering problems, and an understanding of how these can complement GenAI solutions Experience as a Data Scientist, ideally in the SaaS domain with some focus on AI-driven product features Preferred PhD in Statistics, Computer Science, or Engineering with specialization in machine learning, AI, or Statistics, with research or projects in Generative AI 5+ years of prior industry experience, with at least 1-2 years focused on GenAI applications Previous experience applying data science and GenAI techniques to customer success, product development, or user experience optimization Hands-on experience with fine-tuning LLMs or working with RAG methodologies Experience with or knowledge of experimentation platforms (like DataRobot) and other AI related ones (like CrewAI) Experience with or knowledge of the software development lifecycle/agile methodology, particularly in AI product development Experience with or knowledge of Github, JIRA/Confluence Contributions to open-source GenAI projects or a portfolio of GenAI related work Programming Languages like Python, SQL; familiarity with R Strong knowledge of common machine learning, deep learning, and statistics frameworks and concepts, with a specific understanding of Large Language Models (LLMs), transformer architectures, and their applications Ability to break down complex technical concepts (including GenAI) into simple terms to present to diverse, technical, and non-technical audiences Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-SA4 ","qualifications":" Basic Bachelors or Masters degree in Computer Science, Physics, Mathematics, Statistics, or a related field 3+ years of hands-on experience in building data science applications and machine learning pipelines, with demonstrable experience in Generative AI projects Experience with Python for research and software development purposes, including common GenAI libraries and frameworks Experience with or exposure to prompt engineering, and utilizing pre-trained LLMs (e.g., via APIs or open-source models) Experience with large datasets, distributed computing, and cloud computing platforms (e.g., AWS, Azure, GCP) Proficiency with relational databases (e.g., SQL) Experience in training, evaluating, and deploying machine learning models in production environments, with an interest in MLOps for GenAI Proven track record in contributing to ML/GenAI projects from ideation through to deployment and iteration Experience using machine learning and deep learning algorithms like CatBoost, XGBoost, LGBM, Feed Forward Networks for classification, regression, and clustering problems, and an understanding of how these can complement GenAI solutions Experience as a Data Scientist, ideally in the SaaS domain with some focus on AI-driven product features Preferred PhD in Statistics, Computer Science, or Engineering with specialization in machine learning, AI, or Statistics, with research or projects in Generative AI 5+ years of prior industry experience, with at least 1-2 years focused on GenAI applications Previous experience applying data science and GenAI techniques to customer success, product development, or user experience optimization Hands-on experience with fine-tuning LLMs or working with RAG methodologies Experience with or knowledge of experimentation platforms (like DataRobot) and other AI related ones (like CrewAI) Experience with or knowledge of the software development lifecycle/agile methodology, particularly in AI product development Experience with or knowledge of Github, JIRA/Confluence Contributions to open-source GenAI projects or a portfolio of GenAI related work Programming Languages like Python, SQL; familiarity with R Strong knowledge of common machine learning, deep learning, and statistics frameworks and concepts, with a specific understanding of Large Language Models (LLMs), transformer architectures, and their applications Ability to break down complex technical concepts (including GenAI) into simple terms to present to diverse, technical, and non-technical audiences ","responsibilities":" You will play an important role in applying and implementing effective machine learning solutions, with a significant focus on Generative AI. You will work with product and engineering teams to contribute to data-driven product strategies, explore and implement GenAI applications, and deliver impactful insights. This positionis an individual contributor role reporting to the Senior Manager, Data Science. Responsibility Experiment with, apply, and implement DL/ML models, with a strong emphasis on Large Language Models (LLMs), Agentic Frameworks, and other Generative AI techniques to predict user behavior, enhance product features, and improve automation Utilize and adapt various GenAI techniques (e.g., prompt engineering, RAG, fine-tuning existing models) to derive actionable insights, generate content, or create novel user experiences Collaborate with product, engineering, and other teams (e.g., Sales, Marketing, Customer Success) to build Agentic system to run campaigns at-scale Conduct in-depth analysis of customer data, market trends, and user insights to inform the development and improvement of GenAI-powered solutions Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests, particularly for GenAI-driven features Leverage data to develop actionable analytical insights & present findings, including the performance and potential of GenAI models, to stakeholders and team members Communicate models, frameworks (especially those related to GenAI), analysis, and insights effectively with stakeholders and business partners Stay updated on the latest advancements in Generative AI and propose their application to relevant business problems Complete assignments with a sense of urgency and purpose, identify and help resolve roadblocks, and collaborate with cross-functional team members on GenAI initiatives

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity mode

Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Cloud Migrations The main responsibility is to help customers successfully migrate to Cloud This role is based out of India (remote) location - will be looking after the Mid-market segment, Enterprise customers ( 1000 user respectively) from EMEA region, supporting higher volume Work hours are between 12pm/1pm - 9pm/10pm dependant on IST changes (EMEA shift) Migrating all Atlassian products to cloud The following articles/blogs hep understand Atlassian s investment in the cloud space

Not Applicable Specialism Salesforce Management Level Associate & Summary As a Salesforce consulting generalist at PwC, you will possess a broad range of consulting skills and experience across various Salesforce applications. You will provide consulting services to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of Salesforce applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving their strategic objectives. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary Responsibilities Salesforce Experience is a plus managing and deploying applications on the Salesforce platform Deep understanding of SCMs including GIT, Bitbucket Experience maintaining continuous integration software is required, such as Jenkins Experience with build tools such as Maven & ANT Experience with Unix/Shell scripting and PowerShell scripting Some experience with database (SQL) scripts is required Own and manage the administration of source code version control, branching, and labelling, using tools like GitLab Experience designing and deploying a high quality, scalable enterprise software solution Excellent problem solving, organisational, and priority management skills Able to work independently, act proactively, keep management apprised of project related issues Able to multitask Must be flexible and embrace change Excellent written and verbal communication skills Willing to work in a worldwide company with distributed teams Proactiveness Agile and Continuous Delivery, Agile methodologies Data analytics, Data engineering, Data modelling Automation Testing Processes and Tools Software Programming languages Cloud computing/edge clouds Cloud architecture, Cloud deployments, security, maintenance Learning development management Problem solving Information security Mandatory skill sets Devops X Salesforce Deployment Years of experience required 4+ Education qualification B.Tech/B.E. Education Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Required Skills Salesforce Technical Architecture Accepting Feedback, Accepting Feedback, Active Listening, Application Software, Business Model Development, Business Process Modeling, Business Systems, Communication, Developing Training Materials, Emerging Technologies, Emotional Regulation, Empathy, Enterprise Integration, Enterprise Software, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Innovative Design, Intellectual Curiosity, IT Infrastructure, Optimism, Process Standardization, Project Architecture, Project Budgeting {+ 13 more} No

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce . Salesforce is looking for a Senior software engineer to join the Trailhead team. Trailhead is an online learning platform created by Salesforce with a big, bold mission to democratize education and skill up anyone for the future of work. The Trailhead team has immediate opportunities for talented software engineers who want to make a significant and measurable positive impact to users, the company s bottom line and the industry. Trailhead is where developers, admins, and business users get the skills they need for the jobs of the future. And thanks to gamification they have a little fun along the way. This is a rare opportunity to build something that positively impacts millions of users helping folks develop new skills and break into new careers. Feel free to explore our app, trailhead.salesforce.com , and maybe even snag a few badges (wed recommend the Introduction to Agentforce module)! Bonus points if you download the Trailhead GO app from the App Store and earn the badge on mobile! The team focuses on understanding our Trailblazers career needs and optimising their learning journey. We build solutions across product and marketing based on the full point of view of the Trailblazer to cultivate more credentialed, employable individuals in the Salesforce ecosystem. We multiply our efforts across the Trailhead marketing, engineering, content, and credentialing teams to align our strategies and change the culture to use data to make decisions. In this role, you will be work on building data pipelines, optimizing, and delivering data for core Trailhead KPIs. You will also contribute to setting the vision for and delivering the future of Trailhead core analytical funnel metrics and user behavior tracking/experiments. You will work on high impact and high visibility projects that are used by Salesforce executives. You will be encouraged to leverage and implement the latest Salesforce products and technologies. In addition, you will often be challenged to solve for ad-hoc/unstructured problems in a highly fast-paced environment and to partner with key stakeholders across teams. Equality is a core value at Salesforce. We strive to create workplaces that reflect the communities we serve and where everyone feels empowered to bring their full, authentic selves to work. People of different backgrounds, experiences, abilities, and perspectives are warmly encouraged to apply. Responsibilities Build & maintain pipelines - Develop Airflow workflows to ingest data from S3, APIs, and Kafka into Snowflake, ensuring reliability and scalability. Define data contracts & governance - Align with source teams on schemas/SLAs and enforce data classification, masking, and privacy standards. Model for analytics - Create well-structured fact/dimension tables and business measures that power self-service dashboards. Safeguard data quality & lineage - Automate tests, monitoring, and lineage tracking to surface issues early and expedite root-cause analysis. Enable collaboration & learning - Partner with analysts and data scientists, document data definitions, and share best practices across the team. About You Collaborative team player who is kind, friendly, and cares about doing the right thing Desire to keep learning and growing, both technically and otherwise, and keeping informed of new data engineering methods and techniques Ability to ask good questions and learn quickly Openness and courage to give and receive feedback Respect towards people from diverse backgrounds and commitment to upholding diversity, equity, and inclusion at work Some Qualifications We Look For B.S/M.S. in Computer Sciences or equivalent field, and 5+ years of relevant experience within big data engineering Excellent understanding of data structures and distributed data processing patterns Experience with many of the following: Implementing and operating big data technologies like Redshift, Hadoop, Spark, Presto, Hive, etc. especially in the evolving areas of security, compliance (GDPR/CCPA/Data Privacy), and data retention Cloud computing and data processing, preferably AWS, security, cluster sizing, and performance tuning ETL design and implementing pipelines in languages like Java, Scala or scripting in Python Hands on experience with Airflow, CI/CD pipelines via Jenkins or similar tools, GitHub Well versed with Snowflake/Google BigQuery/Redshift. Version control systems (Github, Stash, etc..) and deployment tools Implementing and managing Python open-source data orchestration tools such as Airflow, Pandas, etc Experience working with Web analytics platforms, metrics, and data sets (Google Analytics preferred) Plusses Salesforce experience/ certification is a plus but not required Heroku app development experience is a plus but not required Data Cloud experience is a plus but not required Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination.

At TransUnion, we strive to build an environment where our associates are in the driver s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team - you ll work with great people, pioneering products and cutting-edge technology. Requirements: Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline 2-5 years practical experience working as a data scientist applying machine learning to real-world problems Communication skills to articulate technical aspect of model development to internal and external customers Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, KNN, Gradient Boosting, etc. Experience with common data science toolkits such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, etc. Proficiency in using query languages such as SQL Familiarity with applied statistical concepts such as distributions, statistical testing, regression, regulation Logical, evidence-based problem solving and critical thinking skills Team focused attitude and evidence of supporting project team members Preferred: Working familiarity with cloud computing environments Impact Youll Make: The Data Scientist will help us improve our modeling processes and develop highly accurate, explainable and replicable modeling solutions for our clients. The primary focus will be in applying machine learning, predictive analysis, data mining techniques, and in building and training high quality models. Specific tasks may include mining transaction descriptions, optimizing/automating our modeling pipeline using AWS based infrastructure from data gathering/manipulation, leveraging existing/new machine learning techniques and creating model documentation. The position will entail: Utilizing statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs Researching and developing new approaches, keeping ones skills up to date Testing new methods of statistical analysis, software, and data sources for continual improvement of quantitative solutions, implementing as needed Processing, cleansing, and verifying the integrity of data used for analysis Performing ad-hoc analysis and presenting results clearly Communicating results and ideas to key decision makers Creating clear and easy to understand documentation for models Presenting analysis, progress reports and results to internal and external customers Collaborating with a Team Lead to develop technical/business approaches and new or enhanced technical tools Participating in collaboration for implementation Completing all responsibilities as outlined on annual Performance Plan Completing all special projects and other duties as assigned Must be able to perform duties with or without reasonable accommodation #LI-SG1 #LI-Hybrid #LI-Remote This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Analyst, Data Science and Analytics

Management Level G Business Division: Product & Engineering Business Function / Department: Data Office Job Title: Data Engineer Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQs growth story worldwide. Capitalising on India s strong reputation as a global talent hub for IT / ITES, EQ India has structured the organisation to be a part of this growth story. Today, EQ India has evolved as an indispensable part of EQ Group providing critical fintech services to the US and UK. EQ s vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ. Role Summary EQ s Global IT function has begun a transformation journey to support EQ s transition into a stronger, more profitable, product-led business, driven by real insights and the needs of its customers. We are looking for a skilled Data Engineer to join our Data team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines using Microsoft Fabric and Databricks. You will work closely with our Product and Engineering teams to ensure data flow and integration across our data ecosystem. Your expertise will help us to improve our data infrastructure, improve data quality, and enable data-driven decision-making across the organization. Core Duties and Responsibilities Design, build, and maintain large-scale data pipelines using Microsoft Fabric and Databricks Develop and implement data architectures that meet business requirements and ensure data quality, security, and compliance Collaborate with wider Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools Optimise data processing and storage solutions for performance, scalability, and cost-effectiveness Develop and maintain data quality checks and monitoring tools to ensure data accuracy and integrity Work with cross-functional teams to identify and prioritize data engineering projects and initiatives Stay up-to-date with industry trends and emerging technologies in data engineering and cloud computing Skills Capabilities and Attributes Essential: 3+ years of experience in data engineering, with a focus on cloud-based data pipelines and architectures Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management Proficiency in Python, SQL, Scala, or Java Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory Strong understanding of data architecture principles, data modelling, and data governance Experience with cloud-based data platforms, including Azure and or AWS Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams Desirable: Experience with Azure Synapse Analytics, Azure Data Lake Storage, or other Azure data services Experience with agile development methodologies and version control systems such as Git Certification in Microsoft Azure, Databricks, or other relevant technologies Benefits Being a permanent member of the team at EQ you will be rewarded by our company benefits, these are just a few of what is on offer: 3 days of additional leaves on & above statutory requirement along with 2 days of voluntary leaves to pursue the CSR initiatives Business related certification expense reimbursement Comprehensive Medical Assurance coverage for dependents & Parents Cab transport for staff working in UK & US shift Accidental & Life cover 3 times of concerned CTC

& Summary . Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Enterprise Architecture services, will provide you with the opportunity to bring our clients a competitive advantage through defining their technology objectives , assessing solution options, and devising architectural solutions that help them achieve both strategic goals and meet operational requirements. We help build software and design data platforms, manage large volumes of client data, develop compliance procedures for data management, and continually researching new technologies to drive innovation and sustainable change. JMeter, LoadRunner is mandatory. HTTP/HTML, SAP GUI, Tru client protocols (any 2 mandatory) AppDynamics, DataDog is an added advantage. Working in D365 Application is also an added advantage. Collaborate with project teams to understand system requirements and design comprehensive performance test plans. Develop performance test scenarios based on application architecture and business requirements. Design realistic and scalable performance test scripts using industrystandard performance testing tools (e.g., LoadRunner, JMeter). Collaborate with development and operations teams to ensure accurate representation of production scenarios in test scripts. Execute performance tests in various environments, including development, testing, and production. Monitor and analyze test results, identifying performance bottlenecks, and areas for improvement. Conduct root cause analysis of performance issues and work with crossfunctional teams to implement solutions. Implement performance monitoring tools to capture realtime data during performance tests. Analyze system performance metrics and generate comprehensive reports for stakeholders. Propose and implement improvements to monitoring strategies for continuous performance evaluation. Work closely with development, QA, and operations teams to communicate performance testing progress, findings, and recommendations. Collaborate with architects and developers to optimize application code for better performance. Create detailed documentation of performance test plans, scripts, and results. Prepare performance test summary reports and present findings to project stakeholders. Stay abreast of industry trends, tools, and best practices in performance testing and engineering. Propose and implement process improvements to enhance the efficiency and effectiveness of performance testing efforts. Mandatory skill sets 37 years of handson experience in performance testing and engineering. Proficiency in performance testing tools such as LoadRunner, JMeter, or equivalent. Strong understanding of application architecture, databases, and networking concepts. Good to have knowledge on Azure CI/CD Effective communication and collaboration skills. Experience with performance monitoring tools and APM solutions. Experience in Chaos Engineering i.e., gremlin, Azure Chaos Studio, Litmus Chaos and AWS FIS Clear concepts in cloud computing Preferred skill sets Relevant certifications in performance testing/engineering are a plus Years of experience required 37 years Education qualification B.E. / B.Tech / MCA/ M.E / M.TECH / MBA/ PGDM. All qualifications should be in regular fulltime mode with no extension of course duration due to backlogs Education Degrees/Field of Study required Master of Engineering, Bachelor of Technology, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Mercury LoadRunner Performance Testing No

Job Description Job Profile: Lead, Cloud Engineer (Azure/AWS, Python) Job Location - Bangalore Are you passionate about developing simple, elegant solutions to complex problems? Do you believe that AI has the potential to transform entire industries? If your answer is "Yes" to the above questions, we d love to have a chat with you about our AI solutions. We are looking for an experienced cloud engineer as part of AI engineering team to develop, implement, optimize, and maintain cloud-based solutions. You will be responsible for deploying and debugging cloud stacks, adopting and implementing best cloud practises, and ensuring the security of the cloud infrastructure. To be successful as a cloud engineer, you should be able to identify the most optimal cloud-based solutions and maintain cloud infrastructures in accordance with best practices and company security policies. A top-notch cloud engineer should have excellent troubleshooting skills, stay current with industry trends, and should be a team player Responsibilities As part of project scrum team member design and implement the most optimal cloud-based solutions for the company Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design Modifying and improving existing systems. Educating teams on the implementation of new cloud technologies and initiatives. Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security. Identifying, analyzing, and resolving infrastructure vulnerabilities and application deployment issues. Define and document best practices and strategies regarding application deployment and infrastructure maintenance. Regularly reviewing existing systems and making recommendations for improvements. Qualifications Degree in computer science or a similar field. Six or more years of experience in architecting, designing, developing, and implementing cloud solutions on Azure Understanding of core cloud concepts like Infra as code, IaaS, PaaS and SaaS. Strong proficiency in Python and experience with REST API development. Design and implement scalable, secure, and efficient cloud-based solutions using Azure services. Develop and maintain RESTful APIs to support various applications. Technologies: Python, Azure, MLFlow, AKS, Terraform, Azure app services, Functions, App Insights, Developing and maintaining continuous integration and continuous deployment pipelines - Jenkins Groovy scripts. Developing containerized solutions and orchestration (Docker, Kubernetes, AKS) Experience of server less architecture, cloud computing, cloud native application and scalability etc Collaborate with cross-functional teams to define, design, and ship new features. Optimize applications for maximum speed and scalability. Implement robust security measures and ensure compliance with industry standards. Monitor and troubleshoot application performance and resolve any issues. Participate in code reviews and contribute to the continuous improvement of the development process. Development experience with configuration management tools (Terraform, Ansible, Arm Templates). Relevant certification of Azure preferred. Troubleshooting and analytical skills. Knowledge of AI & ML technologies, as well as ML model management is a plus. Qualifications About Us Schneider Electric creates connected technologies that reshape industries, transform cities and enrich lives. Our 144, 000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment: https://youtu. be/NlLJMv1Y7Hk . Great people make Schneider Electric a great company. . See what our people have to say about working for Schneider Electric: https://youtu. be/6D2Av1uUrzY Get to know our Schneider Electric AI Hub -- https://www. se. com / in / en / about-us / artificial-intelligence / hub. jsp Our EEO statement : Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate and we embrace different as one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices. You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct Schedule: Full-time Req: 009GQD

Managing the client expectations- Stakeholder, Sponsor, Steering Committee Expectations and Relationship Management with customer Program Kickoff, create Program Charter, Create Roadmap and Defining Program / Account level standards Exp in Defining Infrastructure architecture and Sprint 0 plan would be an advantage Defining Project schedule plan and project resource requirements Periodic Catch-up/status meeting with customer Tracking of cost, Effort, Schedule and Risks Conduct Technical solution design review to ensure design is aligned with Appian design principles and customers long term objectives Coordinating with PMO regarding resource additions and releases Periodically conduct design reviews of the project to ensure and enforce reusability, framework centric designs and adopting lessons learnt from the customer engagement across the organization Handling communication related to contract, resource changes and onsite travel SOW preparation, SOW signoff and SOW renewal Resolving project internal issues and handling escalations Reviewing the timesheet updates by the team Communicating the Holiday details to the customer Periodic one-to-one catch up with Team Project Lead/Team for project improvements/review individual goals/360 degree feedback Periodic career log review of team(Set achievable but challenging targets, provide objective feedback, support improvement,etc) Good command over written and oral communicationsAbility to multi-task and handle multiple projects is a plus. Provide Status report to the management as well as customers Qualifications Degree Job Location

About the Role: Grade Level (for internal use): 07 The Team:Client Support is a global team based in Mumbai, Ahmedabad and New York that provides support to investment professionals on the Visible Alpha platform.Team members gain in-depth industry knowledge, read research reports and models, and develop technical skills. In addition, they work with different teams within the organization across various functional areas such as Sales, Success, Technology, and Content. We value excellence in our work, open communication, and effective collaborationResponsibilities and ImpactServe as an integral member of our global Commercial team by providing client support throughout the client lifecycle, beginning with the onboarding process. Become a domain, product, and workflow expert allowing you to manage issues around data and application logic that require deep investigation. Communicate effectively and professionally with internal and externalstakeholders to promptly resolve questions and issues across all Visible Alphaproducts. Escalate product, technical, and data issues to relevant departments withsufficient information on time Create and maintain documents to track internal processes. Provide ongoing feedback to Product and Development teams to help buildscalable solutions for clients.What Were Looking For:Basic Required Qualifications1-2 years of industry experience in a SaaS environment. Passion for client service domain. Understanding of Global Financial Markets and companys financial statements. Bachelors degree in Business, Finance, Economics, Accounting, or Engineering is highly preferred. Excellent interpersonal and communication (written and verbal) skills with theability to communicate successfully across multiple audiences. Strong analytical and troubleshooting skills you are passionate about problem solving and can think critically, multi-task, and succeed in high-pressureenvironmentsAdditional Preferred QualificationsMaster's Degree in Business or Finance is preferred. A good team player with the ability to work on their initiative. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction.For more information, visit www.spglobal.com/marketintelligence . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), OPRTON203 - Entry Professional (EEO Job Group)

Your Role As a Delivery Excellence professional will be responsible for driving the continuous improvement initiatives / projects and implementing QMS for the assigned engagements which includes Creating a continuous improvement culture across the global BPO by fostering the Lean, digital transformation methodologies. Ensure the Continuous Improvement approach across Engagements and Centers Responsible for mentoring Lean six sigma projects using digital transformation & robotic process automation Responsible for ensuring improvement in organization DNA (Training on Lean & Six Sigma) Supports process alignment based on best in class processes Fosters the global sharing of innovation, new methodologies and benchmarking Support Big Data analytics and Cloud Computing services Your Profile LSS Blackbelt (internal or external) Blackbelt project experience (only certification will not be sufficient) at least 1 BB project experience- high impact projects FTE savings, additional revenue savings, high savings in terms dollars (DMAIC), along with 4-5 other projects. Should have worked in those projects in the capacity of a project leader, not like he/she only assisted a Blackbelt in the project Data Analysis skill - inferential statistics and basic statistics (BB certified candidates will understand what it means) Delivery excellence : experience and capability in conducting process assessment, identifying improvement opportunities, ideation to implementation cycle, etc. One should definitely have knowledge about RPA technologies (Uipath, Blueprism, AA, AI) What you'll love about working here You can shape your with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can . Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal , yoga challenges, or marathons. At Capgemini, you can work on in tech and engineering with industry leaders or create to overcome societal and environmental challenges. The role is applicable for women candidates only. D&I Disclaimer: We are committed to fostering a diverse and inclusive workplace that values and celebrates differences. We believe that diversity in all its forms enriches our organization, promotes innovation, and drives success. We are dedicated to providing equal opportunities for all individuals, regardless of discrimination of any kind, including but not limited to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, neurodiversity, or veteran status. Our commitment extends to embracing all forms of diversity. We actively encourage candidates from diverse backgrounds to apply and join us in shaping a more inclusive future together

: Job TitleHybrid Cloud Developer Experience & GenAI LeadCorporate TitleAVPLocationPune, India Role Description GTI Transformation is responsible for the ongoing management, development and execution of Deutsche Banks hybrid cloud strategy. The Developer Experience programme plays a pivotal part in leading the evolution of tooling and process enhancements within the cloud ecosystem to reduce toil and in building an evergreening positive onboarding and developer experience. This role will support in the delivery of tooling and process enhancements within the cloud ecosystem and the buildout of GenAI products to automate the cloud experience. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your Key Responsibilities: Support the program and product leads in building GenAI enabled products to automate workflows and processes within the DB cloud ecosystem Working closely with engineering teams to articulate product features and test product requirements Proactively identify opportunities to leverage GenAI and translating product ideas into tangible and clear requirements Work with product leads to engage the cloud developer community in understanding thematic issues that can be transposed into a book of work Collaborate with central cloud engineering SMEs to drive strategic changes to expedite cloud migration velocity Assist in the management of the end to end cloud issue management process Tracking and managing issues from initial ticket creation to delivering solutions to thematic problems Formalise and track the deployment of monthly process enhancements in the cloud ecosystem Engage with key domain stakeholders to identify opportunities for process automation in the cloud control process Your Skills & Experience: Experience in change management, business transformation and process re-engineering Strong problem-solving skills and ability to articulate complex & technical concepts into easy-to-grasp statements Excellent communicator that can positively influence diverse stakeholders and team members to drive impactful change initiatives Familiarity in building customer-oriented products, with a strong focus on positive client experience General understanding of AI concepts Specifically around GenAI & AI Agents and how these can be leveraged to build automated and scalable solutions Experience in Google Cloud Platform migrations preferred How well support you: About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

: Job Title: End User Computing - Collaboration Engineering India Lead LocationPune, India Corporate TitleVice President Role Description Technology underpins Deutsche Bank's entire business and is changing and shaping the way we engage, interact, and transact with all our stakeholders, both internally and externally. Our Technology, Data, and Innovation strategy is focused on strengthening engineering expertise, introducing an agile delivery model, as well as modernizing the Bank's IT infrastructure with long-term investments and taking advantage of cloud computing, while we continue to invest and build a team of visionary tech talent who will ensure we thrive in this period of unprecedented change for the industry. It means hiring the right people and giving them the training, freedom, and opportunity, they need to do pioneering work. Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work. As a End User Computing - Collaboration Engineering India Lead , you will be responsible for end-to-end delivery of entire engineering solutions to accomplish business goals. With experience across a range of technology domains, your adaptability and ability to become proficient in new skills in a rapidly changing environment are as important as your technical skills. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Providing technical and functional leadership, mentorship, and direction to a global team of End User Computing engineers Spearhead the development and optimization of Microsoft Office 365 Services , including SharePoint Online, OneDrive, Viva Engage, Power Platform, MS Office. Architect, Govern and manage robust solutions on the Microsoft Power Platform Work with a global engineering team in an Agile development lifecycle Lead and collaborate across teams, while building high performing teams and promoting an engineering culture, as well as a learning organization and recognizing the importance of "developer experience" Troubleshooting issues, implementing new features, and ensuring the security and compliance of the product portfolio. Define and evolve the architecture of the components you are working on and contribute to architectural decisions at a department and bank-wide level Bring deep industry knowledge into the Feature Team to understand problems, leverage design patterns, automation to support a continuous integration/continuous deployment or development (CI/CD) pipeline to production and support emergent design within the agreed domain target architecture Contribute to the wider domain goals to ensure flow, consistent standards and approach to software development while designing to a common shared framework Work with the right and robust engineering practices Regularly reassess processes to identify improvements / efficiency gains that can be made without impacting them; Establish and maintain relationships with both external and internal clients including senior management and team leads within the organization Your skills and experience Extensive experience in the IT industry with hands-on development in Microsoft Office 365 Services (SharePoint Online, OneDrive, Viva Engage, Power Platform). Has an understanding of the potentially transformational capabilities of Gen-AI in relation to End User products (e.g. Microsoft Copilot) and the complexities involved Leading distributed engineering teams in an agile environment Hands-on experience with cloud computing, with application programming interface, Service Orientated Architecture or Microservices, and with developing Applications on Microsoft Power Platform Good communication skills; be comfortable facing off to senior stake holders Strong influencing skills Strong execution skills; be a completer finisher Excellent collaboration / mediation skills Strong analytical and problem-solving skills Be a team player Have a passion for building a high performing team and have fun doing so How well support you

: Job TitleGCP DevOps Engineer, AS LocationPune, India Role Description Technology plays a critical role in Deutsche Bank's transformation. Technology, Data and Innovation (TDI) has been established as one technology division for the bank, driving an integrated IT, data, and security agenda across the bank. The function is responsible for implementing the banks technology strategy focused on strengthening engineering expertise, introducing an agile delivery model, reducing administrative overheads, de-coupling assets within our IT estate for faster, cheaper deployment, as well as modernizing the banks IT infrastructure with long-term investments and benefiting from cloud computing. As part of the TDI, we provide a GCP based data platform for multiple teams within the bank. Our aim is to support minimizing data replication and duplication throughout the enterprise by providing infrastructure for ingestion, storage, transformation, analysis, machine learning and visualization that is secure, scalable, performant, compliant by design and meet functional requirements for exploitation of data. As part of this Role, we are seeking a highly motivated and experienced GCP DevOps Engineer to join our team. In this role, you will play a critical role in designing, developing, and maintaining robust data platform. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design, build, and maintain scalable, secure, and high-availability infrastructure on GCP Cloud platform Manage infrastructure as code using tools like Terraform. Develop and optimize CI/CD pipelines to ensure smooth, efficient and reliable data workload releases using GitHub Actions Deliver high quality software and to be passionate about software engineering Automate repetitive tasks and process to improve efficiency and reduce errors. Develop and maintain scripts for infrastructure automation, monitoring and deployments Implement and enforce security best practices across the infrastructure and deployment processes Your skills and experience Proficiency in cloud platforms such Google Cloud (preferred), AWS or Azzure-must Proficiency in Infrastructure as Code Terraform Experience in CI/CD tools-would be a plus GitHub Actions CI/CD experience-would be a plus Exposure to delivering good quality code within enterprise scale development Experience in software development processes, models, lifecycles and methodologies. Experience in software development and scripting in at least one language (Java, Python, Bash)-would be a plus How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Primine Software Private Limited is looking for AWS Developer to join our dynamic team and embark on a rewarding career journey Design and develop scalable, high-performance applications using AWS technologies Implement AWS security best practices and ensure that applications are secure and compliant with industry standards Develop, deploy, and manage cloud-based applications and services, including the design of custom Amazon Machine Images (AMIs) and the automation of application deployment Collaborate with cross-functional teams, including development, quality assurance, and project management, to ensure the delivery of high-quality software products Troubleshoot and resolve issues related to AWS infrastructure and applications Continuously evaluate and improve the AWS infrastructure, including the implementation of new services and the optimization of existing services Provide technical guidance and support to other team members and stakeholders Excellent problem-solving and analytical skills Excellent written and verbal communication skills

Job Description We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on prici

Job Description We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelor s or Master s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on prici

Management Level G About Organization: Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries. EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQs growth story worldwide. Capitalising on India s strong reputation as a global talent hub for IT / ITES, EQ India has structured the organisation to be a part of this growth story. Today, EQ India has evolved as an indispensable part of EQ Group providing critical fintech services to the US and UK. Key Responsibilities: Monitor IT Infrastructure hardware, Operating system and application alerts generated by the tools and investigate the fault based on the Knowledge base and documentation and outside the documentation using own knowledge skills as applicable Run pre-defined tasks and ensure the completion Monitor and do the basic troubleshooting of Backup Run and manage scheduled jobs and batch processes Website monitoring and IIS troubleshooting Work in 24 x 7 shifts Manage advanced Level 1 support for Server, Operating systems and applications as per the skills mentioned Undertake Knowledge transfer from peers or clients during transition Prepare and update Documentation as applicable Manage the work within the agreed KPI/SLA as applicable Qualification & Skills New relic understanding is highly desirable. Understanding of synthetics and new relic configuration and alerting. Good to have Skills: Basic understanding of Cloud Computing (AWS preferred) Basic understanding of IaC tools like Terraform, Ansible, Puppet Basic understanding of Coding and scripting in Java, JSON, YML, Python/Bash/Go/Ruby, shell/powershell Experience in Automating routine tasks. Experience in query languages like SQL Basic understanding of containerization and orchestration tools like Kubernetes, docker, ansible, puppet Desirable Preferable ITIL Foundation Trained/Certified Preferable MCSE or MCSM. ITIL v3 certification. Personal Traits Excellent verbal and written communication skills in English. Highly process orientated Desire to learn and ability to quickly implement learnings. Troubleshooting skills Should be a good team player, highly motivated and ambitious Willingness 24 X7 Shifts

Department Service Operations Employment Type Permanent - Full Time Location Pune, India Workplace type Onsite Key Skills Required: About ParentPay Group ParentPay Group brings together eleven brands that drive development in EdTech. As Europes largest EdTech provider, we help primary and secondary schools streamline their cashless payments, improve their parent engagement, safely manage meals and securely store their data. Fundamentally, we create time for learning.

Where Data Does More. Join the Snowflake team. Snowflake Support is committed to providing high-quality resolutions to help deliver data-driven business insights and results. We are a team of subject matter experts collectively working toward our customers success. We form partnerships with customers by listening, learning, and building connections. Snowflake s Support team is expanding! We are looking for a Staff Cloud Support Engineer who likes working with data and solving a wide variety of issues, utilizing their technical experience, having worked on a variety of operating systems, database technologies, big data, data integration, connectors, and networking. As a Staff Cloud Support Engineer, your role is to delight our customers with your passion and knowledge of Snowflake Data Warehouse. Customers will look to you for technical guidance and expert advice with regard to their effective and optimal use of Snowflake. You will be the voice of the customer regarding product feedback and improvements for Snowflake s product and engineering teams. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Based on business needs, you may be assigned to work with one or more Snowflake Priority Support customers. You will develop a strong understanding of the customer s use case and how they leverage the Snowflake platform. You will deliver exceptional service, enabling them to achieve the highest levels of continuity and performance from their Snowflake implementation. Ideally, you have worked in a 24x7 environment, handled technical case escalations and incident management, worked in technical support for an RDBMS, been on-call during weekends, and are familiar with database release management. Shift 3 Special Requirement: Ability to work the 3rd/afternoon shift which typically starts from 2 pm IST Applicants should be flexible with schedule changes to meet business needs AS A STAFF CLOUD SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL: Drive technical solutions to complex problems, providing in-depth analysis and guidance to Snowflake customers and partners using the following methods of communication: email, web, and phone Adhere to response and resolution SLAs and escalation processes in order to ensure fast resolution of customer issues that exceed expectations Demonstrate good problem-solving skills and be process-oriented Utilize the Snowflake environment, connectors, 3rd party partners for software, and tools to investigate issues Document known solutions to the internal and external knowledge base Submit well-documented bugs and feature requests arising from customer-submitted requests and partner with Engineering towards a resolution. Proactively identify recommendations and lead global initiatives to improve product quality, customer experience, and team efficiencies. Provide support coverage during holidays and weekends based on business needs OUR IDEAL STAFF CLOUD SUPPORT ENGINEER WILL HAVE: Bachelor s or Master s degree in Computer Science or equivalent discipline 8+ years of experience in a Technical Support environment or a similar technical function in a customer-facing role Excellent writing and communication skills in English with attention to detail Ability to work in a highly collaborative environment across global teams Ability to train team members on data warehousing fundamentals and concepts A clear understanding of data warehousing fundamentals and concepts Ability to debug, rewrite, and troubleshoot complex SQL queries for achieving workarounds or better solutions Strong knowledge of RDBMS, SQL data types, aggregations, and functions including analytical/window functions Good understanding of RDBMS query profiles and execution plans to analyze query performance and make recommendations for improvement A clear understanding of Operating System internals, memory management, CPU management Database migration and ETL experience Scripting/coding experience in any programming language Working knowledge of semi-structured data Experience in RDBMS workload management. Good understanding of any of the major cloud service provider s ecosystem Ability to interpret systems performance metrics (CPU, I/O, RAM, Network stats). Understanding of the release cycle and tracking of behavior changes. NICE TO HAVE: Experience working with a distributed database i.e. big data and/or MPP (massively parallel processing) databases. Troubleshooting skills on a variety of operating systems (Windows, Mac, *Nix) Good understanding of the technical fundamentals of networking. You should have a solid knowledge of internet protocols such as TCP/IP, HTTP/S, SFTP, and DNS and be able to use diagnostic tools to troubleshoot connectivity issues. Understanding of cloud computing security concepts. Understanding of cost utilization and optimization. Proficiency in using any of the scripting languages e.g. Python, JavaScript. Snowflake is growing fast, and we re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com "

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Introduction to team: Our team is looking for passionate innovators to enhance our next-generation partner connectivity platform. This cutting-edge platform connects with over 6,500 supply partners, supporting millions of users every year in finding the perfect travel products. Youll work with technologies such as Java, Kotlin, Spring, MSSQL, DynamoDB, Redis, and more. Our platform is the backbone of Expedias business, creating an efficient two-way marketplace that bridges supply and demand. It supports all primary lines of business Lodging, Air, Cars, Cruise, Ground Transport, and Activities with diverse integration methods, from direct connections to sourcing via GDSs. With over 50 Tier-1 services and more than 8TB of data produced each month, our organisation thrives on innovation, offering you the chance to challenge yourself and make a significant impact. In this role, you will: Design and implement products and solutions that are highly scalable with high-quality, clean, maintainable, and well-documented code across the full technology stack Work collaboratively with all members of the technical staff and other partners to build and ship outstanding software in a fast-paced environment Find opportunities for process and technology improvements, and work towards adoption and implementation Assist with supporting Production systems (includes investigating issues and working towards resolution) Exercise creativity and provide alternative solutions to a given problem removing roadblocks and driving issues to closure Create/update documentation for the purpose of sharing knowledge between team members Actively participate in group technology reviews to critique the work of self and others Experience and qualifications: Bachelors or master s in computer science or related technical field; or equivalent related professional experience 2+ years of experience in the field of Software Engineering Proficient with Object Oriented Programming concepts with a strong understanding of Data Structures, Algorithms, and Computer Science fundamentals Experience with Java/Kotlin and Spring MVC along with a good grasp of OO design with strong design patterns knowledge. Experience with cloud-computing platforms such as Amazon Web Services Understanding of testing and monitoring tools Ability to debug applications Understanding how teams goals fit a business need Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Groups family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert , CarRentals.com , and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Job Title: Performance Benchmarking Engineer Location: Pune Experience: 5-8 Years About the Role: The Benchmarking team is focused on delivering benchmarks for the highly demanded solutions. The team publishes the benchmark papers and are available to the Sales, Marketing team and our customers. The Benchmark Engineer will carry out performance testing and engineering activities on large scale distributed solutions on the on-prem and public cloud environments followed by creating scorecards and a benchmark publication Required Skills: Work in collaboration with Compute Services management and domain experts in sales and worldwide marketing to define use case scenarios that reflect how our customers use our software products, including common customer scenarios which represent the highest propensity in three environments (small, medium and large). Leverage this information to develop a comprehensive project definition including test suites, data, users, execution methods, planned deliverables (performance briefs, best practices, etc.) and timelines. Utilize technical knowledge, research and collaboration (partners, peers, sales, field consultants, etc.) to execute benchmarks and take advantage of their experience to review results, resolve issues, etc. Use abstract analysis (critical thinking) to evaluate results and adjust test approach accordingly to achieve expected performance ensuring comprehensive, repeatable scenarios that showcase stable quality products. Use internal and external tools and templates to author formal performance briefs, best practices and/or technical white papers. Leverage the domain experience to assist sales in addressing customer performance questions. Works to understand and communicate best practice methodologies via publications. Proactively work with team lead and project stakeholders to remove barriers keeping projects on schedule. Provide weekly updates to team leads and CDS management. Support peers by reviewing publications/results and working in collaboration to overcome individual challenges, achieve team goals and be a team player. Roles and Responsibilites: Overall 5+ years of experience. Strong experience in performance testing large scale web-based distributed applications & working on a SaaS, PaaS, or Cloud Infrastructure product/solution. System administration experience on Unix and Windows (Redhat Linux and to a lesser extent, Windows Server 2008 through 2012R2 Server infrastructure (Server models, chipsets, cores, memory, threading) and associated performance options and communication protocols (TCP/IP, ARP, etc.) Diagnosing and tuning for system performance (NMON, FIO, PerfMon, SysInternals, IOSTAT, IOMeter, NETSTAT, VMSTAT, TOP, etc.) Knowledge and basic experience on storage infrastructure (Hadoop, SAN, NAS, NFS, etc.) and associated protocols (FCOE, Fiber Channel, CIFS, JBOD, etc.) Scripting/Programming including VuGen and one or more of the following - SQL, KORN, BASH, PowerShell, C, Python, etc. Solid experience in performance testing tools like - Microfocus Load Runner with multiple protocols (Web HTTP or Truclient), JMeter and/or Ranorex. Strong working knowledge on APM tool like AppDynamics, Dynatrace, Datadog, etc. and other tools such as Grafana, Kibana, etc. Understanding of Containers and Cloud computing concepts Kubernetes, cloud providers like AWS, Google, Azure, etc.

Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale. We ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design. Join us on our mission to shape the future of our industry. Are you driven to shape the future of cybersecurity?" The security team at Cohesity is on a mission to help organizations around the world protect their data and stay ahead of evolving cyber threats. Our mission is to help organizations around the world to safeguard their data and bounce back fast from ransomware attacks. In this role, you will be responsible for identifying vulnerabilities through code analysis and reverse engineering, and documenting your findings with detailed reports, including proof of concept (PoC) and actionable recommendations. You will also provide suggestions to strengthen the overall security posture of the target systems. Staying up to date with the latest cybersecurity trends, emerging threats, and technologies is essential, as you will contribute implementation plans to enhance the security of our product. HOW YOU LL SPEND YOUR TIME HERE You should be able to penetrate the applications, network, systems and have a diverse understanding of the current state of security, use best practices and be familiar with the vulnerability research process that includes foot printing, scanning, enumeration, systems hacking, escalation of privilege, and the tools that are deployed in each phase of the process. You must be able to understand product architecture and identify attack vectors which could include standard as well as proprietary protocols and use methodologies like OWASP, SANS, NIST. You should be able to find 0-Day vulnerability with code analysis or reverse engineer and create a report with the appropriate recommendations / POC of the identified vulnerabilities. You should be able to do threat modelling of a feature and perform its validations. Additionally, you should have strong written communication skills to document and categorize the threat level of discovered vulnerabilities and make suggestions about how to improve the targets security posture. You should have a strong understanding of technical domains like (Applications, Platforms, Networking, etc.) as well as human interaction domains (e.g., Social Engineering), as well as an awareness about current laws that may affect the way in which the analysis is conducted. You should know modern authentication protocols and have a background of cyber security. You should be well versed in cloud computing technologies and have knowledge of Windows, Linux, Unix internals. Should have in depth understanding of network security: TCP/IP, DNS, proxies, firewall configuration, intrusion detection and prevention systems, IPSec and TLS/SSL. Experience with cryptography including symmetric and asymmetric cryptography, hashing and should be able to simulate Ransomware attacks and provide suggestions to defend them. Experience with tools for conducting enumeration of target environment and configuration and penetrate by tools used for system hacking (e.g., password cracking), malware creation/deployment, network traffic sniffing, session hijacking, denial of service and SQL injection. Experience in developing payloads using applications or scripts (C++,Python, Shell etc.) WE D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING Preferred Certifications: Certified Information Systems Security Professional (CISSP) | Certified Ethical Hacker (CEH) | EC-Council certified Security Analyst (ECSA) | Offensive Security Certified Professional (OSCP) | Licensed Penetration Tester (LPT) Minimum 5-7 years of experience in the Security Domain Excellent communication skills and great collaboration Familiarity with frameworks like NIST, MITRE ATT&CK, and CIS Controls Good to have experience with SIEM, IDS/IPS, endpoint protection, and other security tools. Knowledge of scripting (Python, Bash) or automation tools for security operations Data Privacy Notice for Job Candidates: For information on personal data processing, please see our Privacy Policy . In-Office Expectations Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.