1617 Cloud Platforms Jobs - Page 28

About the role The N etwork Engineering M anager will lead our cloud network engineering team and be responsible for managing cloud-based network infrastructure across the enterprise to ensure reliability , security and efficiency . T he role involves working closely with different teams within the organization to understand their needs and implement best practices and strategies that align with our business goals. You are goal-oriented, independent, motivated, self-driven, result-oriented, and act as an agent of change. You will act as an influencer, be pragmatic, able to function as a team mentor & player, handle multiple competing priorities in a dynamic environment, and have the highest level of integrity & proven track record of success & leadership . What youll do Oversee the design and management of cloud-based network infrastructure ensuring scalability, reliability and performance. Cultivate a diverse, high-performing team that develops, recognizes and retains the best people and challenges them to advance their technical and engineering skills to meet the demands of rapidly evolving technologies Lead and mentor a team of network engineers, delegating responsibilit ies and fostering a culture of continuous improvement and collaboration. Participate in budget planning and management for network resources, evaluating new technologies and solutions to improve efficiency Keep abreast of emerging technologies and industry trends, applying this knowledge to enhance organizational practices Collaborate with Cyber Security to implement necessary saf eguards to protect the network from unauthorized access, threats and vulnerabilities. Analyze performance metrics to identify areas for improvement and optimize the network. Develop stakeholder relationships, working with teams across the business to ensure upstream and downstream processes exist to support meeting SLAs and OLA s Report regularly on network performance to technical and non-technical stakeholders as needed. Continuous and e ffective performance management of the team Driv e deployment to the network using Infrastructure as Code ( IaC ) and regularly review code wit h team to optimize for efficiency. What we'll want you to have 10 + years of experience as a n engineer with a strong understanding of network infrastructure, protocols and services . 5+ year s of experience in a managerial or leadership role managing cloud network infrastructure. In-depth knowledge of cloud platforms such as AWS and Azure Experience with infrastructure as code ( IaC ) tools such as Terraform and CloudFormation Able to work flexible hours as required by business priorities; Available on a 24x7x365 basis when needed for production impacting incidents or key customer events Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

The platform engineer is responsible for managing our Windows systems infrastructure across the enterprise to ensure our services are reliable, secure, scalable and performant. The role involves effectively working with other cross-functional teams within the organization to meet business objectives. What youll do: Design, deploy and manage Windows systems infrastructure and associated services i.e Active Directory, Group Policies, DNS services etc. Develop and automate system processes to reduce manual intervention and minimize operational overhead. Utilize scripting and programming languages to automate tasks Implement and manage infrastructure as code using tools like Terraform, CloudFormation, Ansible or similar technologies Actively participate in incident management processes, quickly identifying and resolving issues. Conduct root cause analysis to prevent future incidents Analyze and optimize system performance using monitoring and logging tools. Work to improve response times and decrease downtime. Collaborate closely with other engineering teams to enhance security, reliability and scalability Monitor infrastructure and analyze performance metrics to identify areas for improvement. Create and maintain documentation for systems, processes and procedures to ensure knowledge sharing across teams Stay updated on industry trends and emerging technologies What youll bring 5+ years of experience leveraging automation to manage Windows systems and infrastructure In-depth knowledge of cloud platforms such as AWS and Azure Experience with infrastructure as code (IaC) tools such as Terraform and CloudFormation Strong technical experience implementing, managing and supporting windows systems infrastructure Proficiency in one or more programming languages (Python, Powershell) Able to work flexible hours as required by business priorities; Available on a 24x7x365 basis when needed for production impacting incidents or key customer events. Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

The Platform Engineer is responsible for designing, implementing and maintaining scalable, secure and highly available Linux-based systems and DevOps pipelines. This role requires close collaboration with cross-functional teams to align infrastructure capabilities with business goals. What youll do: Engineer and manage scalable Linux-based infrastructure within a DevOps framework including core services such as web servers (Nginx/Apache), FTP, DNS, SSH etc. Automate infrastructure provisioning and configuration using tools like Ansible, Terraform or Puppet. Build and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions. Monitor system performance and analyze performance metric availability using tools like Nagios, Solarwinds, Prometheus, Grafana etc Actively participate in incident management processes, quickly identifying and resolving issues. Conduct root cause analysis to prevent future incidents Collaborate with development teams to ensure seamless integration and deployment of applications Apply security best practices to harden systems and manage vulnerabilities. Create and maintain documentation for systems, processes and procedures to ensure knowledge sharing across teams Participate in on-call rotations Stay updated on industry trends and emerging technologies What youll bring 6+years of experience leveraging automation to manage Linux systems and infrastructure, specifically RedHat In-depth knowledge of cloud platforms such as AWS and Azure Proficiency with infrastructure as code (IaC) tools such as Terraform and CloudFormation Strong technical experience implementing, managing and supporting Linux systems infrastructure Proficiency in one or more programming languages (Python, Powershell, etc) Ability to deliver software which meets consistent standards of quality, security and operability. Able to work flexible hours as required by business priorities; Available on a 24x7x365 basis when needed for production impacting incidents or key customer events Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Since June 2021, frog is part of Capgemini Invent . frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. Were inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. Joining frog means youll be joining the pond, a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your community and the world at large. Client Engagement & Advisory: Partner with clients to understand their business goals, CX challenges, and data needs. Provide strategic recommendations on how to leverage data to enhance customer engagement, satisfaction, and retention. Data Strategy Development: Design comprehensive data strategies tailored to client objectives, including customer segmentation, predictive modelling, and personalization. Define KPIs and metrics to measure the success of CX initiatives. Data Analysis & Insights: Analyze structured and unstructured data to derive actionable insights. Leverage advanced analytics techniques, including machine learning and AI, to identify trends and opportunities. Solution Design & Implementation: Collaborate with technical teams to design and implement data platforms, dashboards, and analytics solutions. Drive the implementation of customer data platforms (CDPs), marketing automation tools, and analytics systems. Stakeholder Management: Act as a trusted advisor to business stakeholders. Present findings, recommendations, and reports in a clear, compelling manner Your Profile 8-10 years of experience in data analytics, data strategy, or consulting roles, with a focus on customer experience, marketing, or business transformation. Minimum of 5-8 years of experience in omni-channel marketing, data analytics, or marketing automation implementation, with at least 2 years in a consulting role. 3+ years of experience in marketing orchestration, preferably with hands-on experience using marketing automation platforms (e.g., Salesforce Marketing Cloud, Adobe Campaign, Braze, Marketo, etc.) and leveraging customer data for personalized, cross-channel campaigns. Bachelors degree in data science, Business Analytics, Computer Science, Marketing, or related fields. Masters degree preferable. Technical Skills: Proficiency in analytics tools (e.g., Python, R, SQL). Familiarity with visualization tools (e.g., Tableau, Power BI). Experience implementing CDP tools (Salesforce CDP, Adobe CDP, Segment etc) Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. Data Analytics Data modelling Digital Marketing Digital Technology Consulting Data-Driven Marketing Proven track record of contributing to client engagements and delivering data-driven solutions. Strong communication, problem-solving, and interpersonal skills. Equal Opportunities at frog Frog and Capgemini Invent are Equal Opportunity Employers encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law.

Job Title: CloudOps & InfoSecurity Lead Job Description: We are seeking a skilled CloudOps & InfoSecurity Lead to oversee our cloud operations and information security initiatives. The ideal candidate will be responsible for designing, implementing, and managing cloud infrastructures across multiple environments while ensuring compliance with security protocols. You will collaborate closely with developers, operations teams, and other stakeholders to enhance our cloud capabilities and security posture. Key Responsibilities: - Lead the design and implementation of cloud infrastructure solutions using industry best practices. - Develop and enforce cloud security policies and access controls to safeguard sensitive data. - Monitor and manage cloud environments, ensuring availability, performance, and security. - Conduct regular security assessments and audits to identify vulnerabilities and implement remediation plans. - Collaborate with DevOps teams to integrate security into the software development lifecycle. - Provide guidance and support to cross-functional teams on cloud and security best practices. - Stay updated on the latest trends and technologies in cloud computing and information security. Skills: - Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud. - Strong understanding of cloud architecture and service models (IaaS, PaaS, SaaS). - Proficiency in security frameworks and best practices, such as ISO 27001, NIST, or CIS. - Experience with identity and access management (IAM) solutions. - Familiarity with containerization and orchestration tools like Docker and Kubernetes. - Knowledge of scripting languages, such as Python or Bash, to automate tasks. - Excellent problem-solving skills and the ability to work under pressure. Tools: - Cloud management platforms (AWS Management Console, Azure Portal, Google Cloud Console). - Security tools (firewalls, intrusion detection/prevention systems, vulnerability scanners). - Configuration management tools (Ansible, Terraform, Chef). - Monitoring and logging tools (CloudWatch, Datadog, Splunk). - CI/CD tools (Jenkins, GitLab CI, CircleCI). Join us to lead our efforts in cloud operations and information security, ensuring the integrity and security of our systems in a rapidly evolving technological landscape.

Job description We are looking for a passionate Senior Data Scientist Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone whos eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across a multidisciplinary team, driving innovation across industries/domains Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Must Have Skills • 3- 10 years of experience in Data Science - NLP, with at least 2 years in GenAI/LLMs Proficiency in Python, SQL & ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (e.g., FAISS, ChromaDB) Strong understanding of NLP technique,s including embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots, etc Experience with cloud platforms (GCP, AWS, or Azure) and CI/CD pipelines Experience integrating LLMs via Azure OpenAI, Google Vertex A,I or AWS Bedrock Ability to work independently & drive projects end-to-end from development to production Strong problem-solving, data storytelling & communication skills

Overview PepsiCo Data BI & Integration Platforms is seeking a Midlevel Cloud Platform technology leader, responsible for overseeing the deployment, and maintenance of big data and analytics cloud infrastructure projects on Azure/AWS for its Global corporate functions (Finance, Integrated Business Planning). The ideal candidate will have hands-on experience with Azure/AWS services Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation. Responsibilities Implement and support application migration, modernization, and transformation projects, leveraging cloud-native technologies and methodologies. Implement cloud infrastructure policies, standards, and best practices, ensuring cloud environment adherence to security and regulatory requirements. Design, deploy and optimize cloud-based infrastructure using Azure/AWS services that meet the performance, availability, scalability, and reliability needs of our applications and services. Drive troubleshooting of cloud infrastructure issues, ensuring timely resolution and root cause analysis by partnering with global cloud center of excellence & enterprise application teams, and PepsiCo premium cloud partners (Microsoft, AWS). Manage cloud-native solutions with integrated service management workflows across platforms like Azure or AWS. Design and implement ITSM integrations (e.g., ServiceNow) to streamline incident response, change management, and automated service delivery. Leverage Generative AI models to drive intelligent automationenabling self-service support, chatbot agents, and proactive remediation across IT operations. Collaborate cross-functionally to ensure secure, scalable, and observability-driven systems aligned with enterprise reliability goals. Establish and maintain effective communication and collaboration with internal and external stakeholders, including business leaders, developers, customers, and vendors. Develop Infrastructure as Code (IaC) to automate provisioning and management of cloud resources. Write and maintain scripts for automation and deployment using PowerShell, Python, or Azure/AWS CLI. Work with stakeholders to document architectures, configurations, and best practices. Knowledge of cloud security principles around data protection, identity and access Management (IAM), compliance and regulatory, threat detection and prevention, disaster recovery and business continuity. Qualifications Bachelors degree in computer science. At least 6 to 8 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 4 years in a technical leadership role Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps. Deep expertise in cloud platforms (Azure, AWS, or GCP), with experience designing scalable, secure infrastructure and automated workflows. Strong knowledge of ITSM systems like ServiceNow or Jira, including integration development, API management, and process automation. Familiarity with Generative AI concepts, LLMs, and applying AI solutions to automate support, enhance observability, and drive intelligent operations. Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets. Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible. Excellent problem-solving, analytical, and communication skills, with the ability to explain complex technical concepts to non-technical audiences. Certifications in Azure/AWS platform administration, networking and security are preferred. Strong self-organization, time management and prioritization skills A high level of attention to detail, excellent follow through, and reliability Strong collaboration, teamwork and relationship building skills across multiple levels and functions in the organization Ability to listen, establish rapport, and credibility as a strategic partner vertically within the business unit or function, as well as with leadership and functional teams Strategic thinker focused on business value results that utilize technical solutions Strong communication skills in writing, speaking, and presenting Capable to work effectively in a multi-tasking environment. Fluent in English language.

Overview AI Automation Engineer to design, develop, and implement intelligent automation solutions. This role involves leveraging AI, machine learning, and automation tools to streamline workflows, optimize business processes, and enhance operational efficiency. You will work closely with cross-functional teams to integrate AI-powered automation into enterprise systems. Responsibilities Design and develop AI-driven automation solutions to optimize workflows and business operations. Implement machine learning models and AI algorithms to enhance process automation. Develop and maintain automation scripts, bots, and AI-based workflows. Integrate AI automation with existing systems, APIs, and databases. Utilize RPA (Robotic Process Automation) tools such as UiPath, Automation Anywhere, or Blue Prism . Work with cloud-based AI services (AWS AI/ML, Google AI, Azure AI) to deploy scalable automation solutions. Monitor automation performance, troubleshoot issues, and optimize efficiency. Ensure automation security, compliance, and governance best practices. Stay updated with advancements in AI, ML, and automation technologies. Qualifications 9+ years of experience with 6+ years of experience in AI, automation, or RPA development. Strong programming skills in Python, Java, or JavaScript. Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn). Expertise in RPA tools (UiPath, Automation Anywhere, Blue Prism). Experience with workflow automation tools (Apache Airflow, Zapier, Power Automate). Proficiency in RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure). Knowledge of database technologies (SQL, NoSQL) for AI-driven automation. Strong understanding of DevOps, MLOps, and CI/CD pipelines. Preferred Qualifications Experience with AI chatbots and virtual assistants (Dialogflow, Rasa, OpenAI GPT). Exposure to computer vision and NLP for intelligent automation. Knowledge of vector databases for AI-powered search. Familiarity with enterprise automation tools (ServiceNow, Workato, Alteryx).

Overview Job TitleData Engineer L10 PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCos global business scale to enable business insights, advanced analytics and new product development. PepsiCos Enterprise Data Operations (EDO) team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation. What PepsiCo Enterprise Data Operations (EDO) does: Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders Increase awareness about available data and democratize access to it across the company Responsibilities As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. The candidate should have at least 5+ years of experience working on cloud platforms. 2+ years of experience in Azure is needed. S/he will have to front end technical discussions with leads of different business sectors. S/he will have to be on top of all support issues pertaining to t Qualifications Bachelors in computer science engineering or related field Skills, Abilities, Knowledge Excellent communication skills, both verbal and written, and the ability to influence and demonstrate confidence in communications with senior level management. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to coordinate effectively with team. Positive and flexible attitude and adjust to different needs in an ever-changing environment. Foster a team culture of accountability, communication, and self-management. Proactively drive impact and engagement while bringing others along. Consistently attain/exceed individual and team goals Ability to learn quickly and adapt to new skills. Certified candidate in Azure Fundamental is preferred. Below are nice-to-have experience for the candidate: - Proficiency with GIT and understanding of DevOps pipelines - Data Quality frameworks using Great Expectation suite - Understanding of Cloud networking (VNET RBACs etc.) - Fair understanding of web applications Qualifications 14+ years of overall technology experience that includes at least 8+ years of hands-on software development, data engineering. 8+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala, etc.). 2+ years in cloud data engineering experience in Azure. Azure Certification is a plus. Experience with version control systems like Github and deployment & CI tools. Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines. Experience with data profiling and data quality tools is a plus. Experience in working with large data sets and scaling applications like Kubernetes is a plus. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus Understanding metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). BE/BTech/MCA (Regular) in Computer Science, Math, Physics, or other technical fields. The candidate must have thorough knowledge in Spark, SQL, Python, Databricks and Azure - Spark (Joins, Upserts, Deletes, Aggregates, Repartitioning, Optimizations, working with structured and unstructured data, framework designing etc.) - SQL (Joins, merge, aggregates, indexing, clustering, functions, stored procedures, optimizations etc.) - Python (Functions, modules, classes, tuples, lists, dictionaries, lists, error handling, multi-threading etc.) - Azure (Azure Data Factory, Service Bus, Log Analytics, Event Grid, Event Hub, Logic App, App services etc.) - Databricks (Clusters, pools, workflows, authorization, APIs, DBRs, AQE, optimizations etc.)

Inviting applications for the role of Assistant Vice President, Program Manager for Data Engineering and Cloud Platform Programs We are seeking a highly experienced and dynamic Delivery Lead/Program Manager to join our IT services organization. This senior leadership role will be responsible for managing the delivery of projects around data engineering and cloud platforms. The ideal candidate will have a proven track record in managing large and complex programs, along with exceptional leadership skills to manage clients, teams, delivery governance, and drive innovation. Responsibilities: Plan, organize and manage large-scale multimillion dollar Programs from Start to Finish. Define and enforce Program delivery governance frameworks, best practices, and methodologies. Act as the primary interface for clients, ensuring strong relationships and alignment with their strategy. Oversee the delivery of data engineering and cloud platform projects ensuring they are completed on time, within budget, and to the highest quality standards. Implement best practices in project management methodologies such as Agile. Build, mentor, and manage a high-performing team of IT professionals including developers, engineers, analysts, and support staff. Foster a collaborative environment that encourages continuous learning and development. Monitor overall Program progress and ensure alignment with Organizational goals Drive innovation within the team by staying updated with the latest trends in technology. Encourage creative solutions to complex problems. Collaborate with senior leadership to prioritize projects and allocate resources effectively. Ensure proper availability of expertise for troubleshooting major issues. Identify potential risk and develop mitigation strategies Qualifications we seek in you! Minimum Qualifications experience in IT leadership roles with exp specifically in leading Data Engineering or Cloud migration Projects. PMP, ITIL, or SAFe Agile certifications for delivery governance. Demonstrated expertise in strategic planning and execution within complex organizational environments Strong financial management skills including budgeting Required Skills Proven experience in a senior leadership role within information technology Exceptional project management skills with a successful track record of delivering complex technology projects Extensive experience managing large-scale programs using tools like JIRA, Trello, MS Project. Strong technical expertise in data engineering, cloud platforms (such as AWS, Azure, GCP ), system administration, network management

Job Title Cloud ArchitectExperience 5-8 YearsLocation Bangalore : Cloud professional with experience in Cloud solutions, Design, support operations and perform opportunity triage, and Coordinate with clients the details of the solution. Has expertise in one or more Public Cloud provider technologies and can embed these capabilities into existing or new cloud-based infrastructure solutions. 12+ years of Industry experience with 5-8 Years in Cloud Architect role with strong AWS Cloud platform Skillset. Key Responsibilities: Architect cloud solution proposal and support client business development. Spearheaded Cloud Lifecycle from understanding the Business Case to Implementation / Migration to any of the AWS cloud platform Should understand the complexities involved in integrating the various modules, functionalities supported, customer requirements compliance etc. Identify key customer requirements, seek clarifications, understanding compliance andrequirements, envisage high-level solution and work with the SME to come out with the efforts involved for its implementation. Architecting solutions around on AWS Technical Experience Good understanding of enterprise architectural methodologies. Strong skillset on developing design methodologies, frameworks, and bringing the best practices in Client environment. Experience in Assessing, Designing, Planning, and Implementing enterprise grade AWS public cloud-based solution and platform. Understanding of IT infrastructure including platforms, networks, and infrastructure Strong experience in assessing the On-premises Infrastructure, Planning & Migrating the workloads to AWS environment Experience in setting up DevOps for Migration deployments and configuration management activities Strong experience on AWS Cloud Platform. Experience in setting up identity solutions in AWS and integration with other cloud platforms. Experience in developing & setting up AWS cloud-based Backup & DR solutions Experience in implementing AWS based designs from greenfield to upliftment. Strong understanding of AWS Cloud components from design and implementation perspective. Strong experience in Migrations and upliftment. Experience in DevOps and toolchain setup and operations Experience in setting up AWS automation tools automate the migrations/deployments at maximum level Process Skills: Performed consultative engagements independently like environmental assessments/estate wide remediation plan. Keeping abreast of industry trends, technology innovation, and changing customer requirements to help with the continual service improvement. Should have clear understanding of migration planning, Change management process and a successful implementation of migration activities. Behavioral Skills : Effective interpersonal, team building and communication skills Excellent verbal and written communication Excellent client / customer relationship management skills at the executive level Extensive client / customer service management skills Good people management skills Certification: Graduate or equivalent degree in IT related field. AWS Certified Architect Professional Architect certification Azure or GCP is an added advantage.

As Head of Software Engineering, you will be a core member of Mikos leadership team. This role is responsible for defining and executing the software architecture vision, managing cross-functional teams, and delivering scalable, secure, high-quality software for our AI-powered robots. We are looking for a hands-on leader who thrives in fast-paced environments, brings technical depth, leads by example, and is capable of nurturing and scaling high-performing engineering teams. Key Responsibilities Technical Strategy & Architecture Define and execute short- and long-term software architecture roadmaps for Mikos product suite. Drive the end-to-end software development lifecyclefrom ideation, design, implementation to deployment and maintenance. Collaborate with AI, Embedded, Product, and UX teams to deliver integrated experiences that delight end-users. Team Leadership Lead and mentor a team of 810+ full-stack engineers (and multiple sub-teams) across backend, frontend, DevOps, and test automation. Hire top-tier talent, manage team performance, and facilitate career growth through structured feedback and mentorship. Promote a strong engineering culture focused on innovation, quality, and ownership. Development & Execution Build and maintain robust, low-latency, scalable systems across cloud, mobile, embedded, and Android platforms. Guide architectural choices across tech stacks: Java, Spring Boot, MySQL, Docker, Kubernetes, CI/CD pipelines, Reactive frameworks (WebFlux/Vert.x), and modern frontend/backend systems. Champion DevOps practicesensuring high availability, performance monitoring, and automated testing. Cross-Functional Collaboration Work with founders, product managers, AI researchers, and designers to align engineering roadmaps with business goals. Contribute to product innovation and user experience decisions with a builder's mindset. Operational Excellence Report on engineering KPIs, delivery milestones, system reliability, and tech debt to executive leadership. Continuously improve engineering processes to support high-velocity product development while maintaining code quality. Requirements 8+ years of software development experience with 3+ years in a senior leadership/architect role. Expertise in Full Stack development, especially in enterprise-grade Java-based backends, Spring Boot, RESTful APIs, microservices, SQL databases (MySQL), and CI/CD practices. Strong architectural understanding across mobile, embedded, and cloud platforms. Experience building complex distributed systems, working with technologies like Docker, Kubernetes, Android, Reactive frameworks, and cloud-native solutions. Ability to break down complex problems, provide clear technical direction, and deliver results in an agile environment. Exceptional communication and people leadership skills with a proven track record of growing and inspiring engineering teams. Passionate about working in a multidisciplinary setup and contributing to impactful products for global consumers.

As a Cloud & DevOps Engineer, you will be responsible for implementing and managing AWS infrastructure for applications using AWS CDK and building GitHub Actions pipelines to deploy containerized applications on ECS/EKS. Must-to-Have: Hands-on experience with AWS CDK for provisioning infrastructure Solid understanding of key AWS services: ECS (Fargate), API Gateway, ALB/NLB, IAM, S3, KMS, Security Groups Strong experience with Cloud Platform engineering & DevOps Proficiency in building GitHub Actions workflows for build, containerization, and deployment Strong knowledge of Docker, container lifecycle, and CI/CD practices Understanding of basic networking (VPC, subnets, SGs) Good understanding of OAuth implementation Familiarity with artifact and image management (ECR, GitHub Packages) Comfortable working in Agile or DevOps-centric environments Good-to-Have: Experience with CDK Pipelines and multi-stage deployments Exposure to GitHub Actions secrets, OIDC-based role assumption Scripting skills in Python, Bash, or Shell for automation tasks Familiarity with AWS CodeBuild or CodePipeline as alternatives Knowledge of Container orchestration in AWS, ECS and EKS for future migration planning Understanding of compliance/security frameworks and audit requirements Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Docker Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Cloud - AWS - AWS S3, S3 glacier, AWS EBS Development Tools and Management - Development Tools and Management - CI/CD DevOps/Configuration Mgmt - Cloud Platforms - AWS DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket

Role & responsibilities We are seeking a dynamic and detail-oriented STIBO MDM Consultant (E1 Level) to support the design, development, and maintenance of master data management solutions using the STIBO STEP platform. You will work with business and IT stakeholders to ensure accurate and consistent data management across enterprise systems. Key Responsibilities: Assist in the implementation and support of STIBO STEP MDM solutions Configure and maintain workflows, business rules, and data models within STIBO Collaborate with data stewards and business analysts to define and manage product, customer, or supplier master data Support data quality initiatives and data governance processes Participate in data integration and migration activities Conduct unit testing and support UAT with detailed documentation Troubleshoot issues related to data workflows, APIs, and configuration Must-Have Skills: 4-8 years of experience with STIBO STEP MDM platform Understanding of data modeling , data governance , and data quality concepts Experience with XML, JSON , and REST APIs Familiarity with workflow configuration and hierarchy management in STIBO Ability to write technical documentation and support testing efforts Good to Have Skills: Knowledge of JavaScript or Groovy scripting within STIBO Experience with PIM (Product Information Management) Exposure to cloud platforms (AWS, Azure) Understanding of ETL tools and data integration pipelines

We are looking for a highly skilled and experienced Oracle Fusion SCM SME specializing in Manufacturing, Planning, and Costing to drive the implementation and optimization of complex supply chain solutions. This role requires strong domain expertise in ERP systems, cross-functional collaboration, and hands-on experience in delivering integrated supply chain processes. Key Responsibilities Lead the end-to-end implementation and optimization of Manufacturing, Planning, and Costing modules within SCM. Work closely with business stakeholders to understand requirements and translate them into functional solutions. Configure and implement processes in ERP platforms such as Oracle SCM Cloud or SAP S/4HANA with a focus on discrete and process manufacturing. Ensure seamless integration between SCM modules and other functions such as Finance, Procurement, and Inventory. Collaborate with technical teams to ensure efficient system integration across ERP, MES, WMS, and third-party applications. Provide SME-level guidance on the industrys best practices, compliance, and cost management strategies. Lead system testing, UAT, cutover planning, and go-live support. Identify improvement opportunities in current processes and recommend automation or re-engineering initiatives. Support pre-sales and solutioning activities including client presentations, demos, and RFP responses. Required Skills & Qualifications 10+ years of experience in SCM solution delivery with a strong focus on Manufacturing, Planning, and Costing. Deep functional knowledge of ERP systems like Oracle SCM Cloud, Oracle EBS, or SAP S/4HANA. Hands-on experience with Work Definition, Work Execution, Production Planning, Cost Accounting, Standard and Actual Costing, and Supply Chain Planning. Strong understanding of integration touchpoints with Finance, Procurement, and Order Management. Experience with cloud platforms such as Oracle Cloud, AWS, or Azure. Excellent stakeholder management, documentation, and communication skills. Preferred: Certification in Oracle SCM Cloud or SAP Manufacturing modules.

Experience & Core Competencies 15-20 years of progressive experience in enterprise IT. Minimum 5 years in senior leadership roles managing cross-functional teams. Proven track record in IT transformation across infrastructure, applications, and digital. Deep expertise in IT governance, cybersecurity, compliance, and business continuity. Strong project management capabilities with experience in delivering complex programs on time and within budget. Desirable Attributes Experience in manufacturing, defence, or R&D sectors. Strong understanding of vendor ecosystems and adept at negotiations. Key Responsibilities Strategic Leadership & Planning Define and execute a multi-year IT strategy aligned with business goals. Partner with senior leadership to drive technology-led business transformation. Lead digital governance and assess emerging technology trends for ROI-driven execution. Infrastructure & Operations Manage resilient, scalable, and high-uptime IT infrastructure. Drive adoption of ITSM practices, automation, and hybrid/cloud architecture. Oversee disaster recovery and business continuity strategies. Cybersecurity & Compliance Define and implement a robust cybersecurity framework aligned with MoD standards. Ensure data security, access controls, and audit readiness. Drive internal IT audits, compliance initiatives, and security awareness programs. Enterprise Systems & Digital Platforms Oversee ERP (SAP), PLM, and enterprise applications across business functions. Ensure seamless process integration, data integrity, and user experience. Promote automation, analytics, and AI-based innovation across functions. Build platforms for real-time reporting, data intelligence, and operational insights. Governance & Team Development Lead and mentor cross-functional IT teams; build internal capability and succession. Manage vendors, SLAs, contracts, and ensure performance excellence.

As a Full Stack Developer at our company, you will be responsible for designing, developing, and deploying high-quality web applications using C#, ASP.Net MVC, ASP.Net Web API, and .Net Core. Your role will involve integrating with Microsoft Dynamics CRM and Microsoft Business Central to ensure seamless data flow and business logic. Additionally, you will be developing and optimizing SQL Server and MongoDB databases, focusing on writing complex queries, stored procedures, and managing database performance. In this position, you will also work on building and maintaining user interfaces with HTML, CSS, and JavaScript, emphasizing responsive and efficient design principles. Leveraging technologies like Radish Cache and Kafka, you will contribute to improving system performance, reliability, and scalability. Experience with cloud platforms such as Azure/AWS will be beneficial as you deploy and maintain applications in a cloud-native environment. Your responsibilities will include writing clean, maintainable, and well-documented code. You will actively participate in code reviews, troubleshooting, and debugging processes to ensure a high level of quality in all deliverables. Strong problem-solving skills will be essential as you work in a fast-paced, dynamic environment. Your communication skills, both written and verbal, will allow you to collaborate effectively within a team setting. At GlobalLogic, we offer a culture of caring, where we prioritize putting people first. You will experience an inclusive environment that fosters acceptance and belonging, enabling you to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to your continuous learning and development, providing numerous opportunities to sharpen your skills and advance your career. Working at GlobalLogic means engaging in interesting and meaningful projects that have a real impact on clients worldwide. You will have the chance to work on cutting-edge solutions that shape the world today, utilizing your creative problem-solving skills to bring new ideas to market. We believe in balance and flexibility, offering various work arrangements to help you achieve a harmonious blend of work and life. As part of a high-trust organization, integrity is key, and you can trust in a safe, reliable, and ethical company. Integrity and trust are fundamental values at GlobalLogic, ensuring truthfulness, candor, and integrity in all our interactions with employees and clients. Join us to be a part of a team that engineers impact and collaborates with forward-thinking companies to create innovative digital products and experiences.,

Join us as a "Lending DevOps Efficiency Engineering Lead" at Barclays and play a crucial role in supporting the successful delivery of Location Strategy projects. Your responsibilities will include ensuring adherence to plan, budget, agreed quality, and governance standards. As a key member of the team, you will lead the evolution of our digital landscape, driving innovation and excellence to enhance customer experiences through cutting-edge technology. To excel in the role of "Lending DevOps Efficiency Engineering Lead," you should possess the following qualifications and skills: - 7+ years of project management experience in technology environments with a background in DevOps. - Strong understanding of the software development lifecycle and DevOps practices. - Experience in implementing security controls within development processes. - Knowledge of CI/CD pipelines, infrastructure as code, and automation tools. - Excellent communication and stakeholder management skills. - Proven ability to drive organizational change and process improvements. - Experience with Agile methodologies and tools. Additionally, desirable skills include: - PMP, CSM, or other project management certifications. - Experience with Java-based applications and microservices architecture. - Knowledge of cloud platforms such as AWS and OpenShift. - Understanding of regulatory compliance requirements in technology. - Experience with security frameworks. - Background in financial services or other regulated industries. Your role will be based in Pune and will involve leading and managing engineering teams. You will provide technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions. Collaboration with cross-functional teams is essential to align technical decisions with business objectives and foster a culture of innovation. Key Accountabilities: - Lead engineering teams effectively to achieve project goals and organizational objectives. - Oversee timelines, team allocation, risk management, and task prioritization for successful solution delivery. - Mentor team members, conduct performance reviews, and identify opportunities for improvement. - Evaluate and enhance engineering processes, tools, and methodologies to increase efficiency and optimize team productivity. - Collaborate with stakeholders to translate business requirements into technical solutions. As an Assistant Vice President, your role will involve advising and influencing decision-making, contributing to policy development, and ensuring operational effectiveness. Leadership responsibilities include setting objectives, coaching employees, and creating an environment for colleagues to thrive. Colleagues at Barclays are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily interactions and work.,

Qualcomm India Private Limited is looking for a talented individual to join their Engineering Group as a Software Engineer. In this role, you will be responsible for designing and developing scalable internal tools using Python and advanced web frameworks like Flask, RestAPI, and Django. Your duties will include deploying and maintaining these tools across enterprise environments to ensure reliability and performance. You will also integrate the tools into CI/CD pipelines such as Jenkins, GitHub Actions, and Azure DevOps to enhance engineering workflows. Additionally, you will have the opportunity to build interactive dashboards and automate business processes using Power BI and Power Automate. Collaboration with cross-functional teams to gather requirements and deliver tailored solutions will be a key aspect of this role. As a Software Engineer at Qualcomm, you will be expected to maintain comprehensive documentation, provide user training and support, and work independently with minimal supervision. A proactive and solution-oriented mindset will be essential to tackle challenges effectively. The ideal candidate should hold a Bachelor's, Master's, or PhD degree in Engineering, Information Systems, Computer Science, or a related field, along with 3+ years of relevant work experience. Additionally, a minimum of 2+ years of experience with programming languages like C, C++, Java, or Python is required. The successful candidate for this position will have an experience range of 6 to 9 years and possess expertise in AI-based tool development and leveraging AI for development activities. Strong proficiency in Python, automation, and backend development is a must, along with hands-on experience in frontend development using tools like Flask, FastAPI, or Django. Familiarity with CI/CD tools, deployment in enterprise environments, Power BI, Power Automate, cloud platforms, and containerization (Docker, Kubernetes) is highly desirable. A self-driven individual with the ability to work independently and a strong problem-solving mindset will excel in this role. While not mandatory, a basic understanding of C/C++ and willingness to learn advanced concepts to support engineering development, as well as knowledge or experience in embedded software development, would be considered advantageous. Qualcomm is an equal opportunity employer committed to providing accommodations for individuals with disabilities during the application/hiring process. If you require assistance, please reach out to disability-accommodations@qualcomm.com. If you are looking to be part of a dynamic team shaping the future of technology, consider applying for the Software Engineer position at Qualcomm India Private Limited.,

The principal role of the Software Engineer Java/J2EE is to support the Variable Marketing Applications and deliver the Product Features. You will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. This includes being involved in the entire software development lifecycle, which encompasses designing software architecture, writing code, testing for quality, and deploying the software to meet customer requirements. Your responsibilities will also involve liaison with Interfacing PDO teams, Other IT Skill Teams, and Business Customers to deliver the product commitments. You will collaborate with the Product Manager, Product Owner, and Product Team members on Backlog Refinement, Estimation, Release & Iteration Planning, Delivery, and Launch. To succeed in this role, you must have a minimum of 5+ years of experience in JAVA and Spring boot with RESTFUL services. Experience in designing and implementing APIs with RESTFUL services, as well as relevant experience in development and production support, is essential. Additionally, familiarity with SDLC, Agile, and DevOps methodologies, incident management, problem management, request fulfillment processes, GCP, or Cloud Platforms is required. You should have a good understanding of IT Security and Controls, exposure to Quality Control Procedures and Practices, and the ability to work independently while liaising with business and other stakeholders. Possessing a continuous improvement mindset, being proficient in writing SQL queries for efficient data retrieval and storage, and having experience working in agile methodology are crucial for this role. Furthermore, hands-on experience with code quality tools (FOSSA, 42 Crunch, Checkmarx, Sonar cube), good analytical and problem-solving skills, and excellent communication skills are highly desirable. A good understanding of RDBMS and the ability to write efficient database queries and fine-tune queries using SQL are also important. Additional Skills that would be preferred for this role include experience in UI development using Angular JS or React, exposure to productivity tools such as Github CoPilot, LLM, and the ability to engage with customers to deeply understand their use-cases, pain points, and requirements. In summary, as a Software Engineer Java/J2EE, you will be responsible for solving complex problems, creating high-level software architecture designs, collaborating with cross-functional teams, defining and implementing software test strategy, guidelines, and policies, continuously improving performance, supporting security practices, and developing user-friendly interfaces and back-end applications. Your role will also involve evaluating and incorporating emerging technologies and capabilities to deliver solutions effectively.,

As a Mid-Level AI Engineer at our company, you will be an integral part of our AI team, focusing on the development of intelligent applications using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems. Your collaboration with data scientists, backend engineers, and product teams will be pivotal in building and deploying AI-powered solutions that bring real-world value. Your responsibilities will include designing, developing, and optimizing applications by leveraging LLMs such as GPT, LLaMA, and Claude. You will also be responsible for implementing RAG pipelines to enhance LLM performance through domain-specific knowledge bases and search tools. Developing and maintaining robust Python codebases for AI-driven solutions, integrating vector databases like Pinecone, Weaviate, FAISS, and embedding models for information retrieval will be a key part of your role. Additionally, you will work with APIs, frameworks like LangChain, Haystack, and tools to build scalable AI workflows. Collaborating with product and design teams to define AI use cases and deliver impactful features, conducting experiments to evaluate model performance, retrieval relevance, and system latency, as well as staying updated on research and advancements in LLMs, RAG, and AI infrastructure are also important aspects of your responsibilities. To be successful in this role, you should have at least 3-5 years of experience in software engineering or AI/ML engineering, with a strong proficiency in Python. Experience working with LLMs from OpenAI, Hugging Face Transformers, etc., hands-on experience with RAG architecture, vector-based retrieval techniques, embedding models like SentenceTransformers, OpenAI embeddings, and vector databases such as Pinecone, FAISS is required. Knowledge of API design, deployment, performance optimization, version control using Git, containerization with Docker, and cloud platforms like AWS, GCP, Azure is essential. Preferred qualifications include experience with LangChain, Haystack, or similar LLM orchestration frameworks, understanding of NLP evaluation metrics, prompt engineering best practices, exposure to knowledge graphs, semantic search, document parsing pipelines, experience in deploying models in production, monitoring system performance, and contributions to open-source AI/ML projects are a plus.,

As a Senior Backend Developer, you will play a crucial role in designing, developing, and maintaining backend systems and services for our product suite. Leveraging your extensive experience in backend development, Kafka, Node.js, and third-party API integrations will drive the success of our products. Your expertise ensures that our systems are robust, efficient, and scalable, supporting our growth and innovation. Design and implement scalable and high-performance backend architecture and services for our products. Write clean, maintainable, and efficient code in Node.js; develop and maintain backend components and microservices. Utilize Apache Kafka for building real-time data pipelines and streaming applications; ensure effective and reliable message processing. Integrate and manage third-party APIs; design and implement RESTful APIs for internal and external use. Work closely with product managers and stakeholders to understand product requirements and translate them into technical specifications and solutions. Identify and address performance bottlenecks and scalability issues; optimize backend systems for performance and reliability. Conduct code reviews; provide guidance and mentorship to junior developers and peers. Ensure comprehensive testing of backend components; support continuous integration and deployment pipelines. Troubleshoot and resolve backend issues; provide technical support and maintenance for production systems. Minimum 6 years of experience in backend development with a strong focus on building and maintaining complex systems and products. Proficiency in Node.js and related frameworks (e.g., Express, Happi). In-depth experience with Apache Kafka, including message brokers, streams, and producers/consumers. Hands-on experience with third-party API integration and management. Solid understanding of RESTful API design principles and practices. Experience in designing scalable and high-availability systems. Proven experience working on product-based applications, from conception to deployment and maintenance. Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Proficiency with version control systems, especially Git. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Additional Skills: Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). Experience working in Agile/Scrum environments. Knowledge of CI/CD pipelines and related tools. Strong analytical and problem-solving skills; ability to troubleshoot and resolve complex issues. Excellent communication skills, both verbal and written; ability to articulate complex technical concepts to non-technical stakeholders. Proven ability to work collaboratively in a team environment; experience mentoring and guiding junior developers. Ability to adapt to new technologies and changing requirements in a dynamic environment.,

As a Senior Data Scientist at our company, you will play a crucial role in leading data-driven projects and providing actionable insights through advanced analytics techniques. Your responsibilities will include designing and executing data science projects that align with our business objectives, collecting and preparing data from various sources, and developing statistical models and machine learning algorithms to solve complex business problems. To excel in this role, you should have a Master's degree or higher in data science, statistics, computer science, or a related field. Proficiency in R or Python, with a preference for R, is essential for data modeling and analysis. You must also possess a strong knowledge of SQL for data extraction and transformation, hands-on experience with machine learning models and statistical techniques, and the ability to translate complex data findings into actionable business strategies. Additionally, your role will involve mentoring junior staff, ensuring quality output, monitoring model performance, and refining approaches for increased accuracy. Collaboration with cross-functional teams, staying updated with advancements in data science, and applying new methods to projects are also key aspects of this position. Moreover, your expertise in ethical data practices, data governance, data visualization tools like Tableau, Power BI, or Matplotlib, and cloud platforms such as AWS, Azure, or Google Cloud will be valuable assets in successfully fulfilling your responsibilities. If you are a highly analytical and strategic professional with excellent communication skills, a passion for data science, and a commitment to quality and information security standards, we encourage you to apply for this exciting opportunity. Join us in driving innovation and making a difference in the field of data science. Thank you for considering a career with us. We look forward to reviewing your application and potentially welcoming you to our team soon!,

You are looking for a visionary Data Science Manager with expertise in Generative AI and Retrieval-Augmented Generation (RAG) to lead AI initiatives from both technical and business perspectives. In this role, you will lead a team of data scientists and ML engineers, design Generative AI models, develop statistical models, and integrate knowledge retrieval systems to enhance performance. Your responsibilities will include mentoring the team, designing scalable AI/ML solutions, implementing Generative AI models, and developing statistical models for forecasting and segmentation. You will also be responsible for integrating databases and retrieval systems, ensuring operational excellence in MLOps, and collaborating with various teams to identify high-impact use cases for GenAI. To qualify for this role, you should have a Masters in Computer Science or related fields, 10+ years of data science experience with 2+ years in GenAI initiatives, proficiency in Python and key libraries, and a strong foundation in statistical analysis and predictive modeling. Experience in cloud platforms, vector databases, and MLOps is essential, along with a background in sectors like legal tech, fintech, retail, or health tech. If you have a proven track record in building and deploying LLMs, RAG systems, and search solutions, along with a knack for influencing product roadmaps and executive strategy, this role is perfect for you. Your ability to translate complex AI concepts into actionable strategies and present findings to non-technical audiences will be crucial in driving AI/ML adoption and contributing to the company's innovation roadmap.,

The Customer Excellence Advisory Lead (CEAL) role focuses on empowering customers to maximize the potential of their data through top-tier architectural guidance and design. As a part of the Oracle Analytics Service Excellence organization, the team comprises Solution Architects specializing in Oracle Analytics Cloud, Oracle Analytics Server, and Fusion Data Intelligence. The primary objective is to ensure the successful adoption of Oracle Analytics by engaging with customers and partners globally to build trust in the platform. Collaboration with Product Management is key to enhancing product offerings and sharing insights through various mediums such as blogs, webinars, and demonstrations. The ideal candidate will work closely with strategic FDI customers and partners to guide them towards optimized implementations and develop Go-live plans geared towards achieving high usage levels. This position is classified as Career Level - IC4. Responsibilities include proactively identifying customer requirements, uncovering unaddressed needs, and devising potential solutions across different customer segments. The role involves assisting in shaping complex product and program strategies based on customer interactions and effectively implementing scalable solutions and projects for customers operating in diverse enterprise environments. Collaboration with customers and internal stakeholders to communicate strategies, synchronize solution implementation timelines, provide updates, and adjust plans according to evolving objectives is vital. Additionally, preparing for complex product or solution-related inquiries and challenges that customers may present, gathering detailed product insights based on customer needs, and promoting understanding of customer complexities and the value propositions of various programs are key responsibilities. Primary Skills required for this role include: - Over 4 years of experience with OBIA and Oracle Analytics - Robust knowledge of Analytics RPD design, development, and deployment - Strong understanding of BI/data warehouse analysis, design, development, and testing - Extensive experience in data analysis, data profiling, data quality, data modeling, and data integration - Proficiency in crafting complex queries and stored procedures using Oracle SQL and Oracle PL/SQL - Skilled in developing visualizations and user-friendly workbooks - Previous experience in developing solutions incorporating AI and ML using Analytics - Experience in enhancing report performance Desirable Skills: - Experience with Fusion Applications (ERP/HCM/SCM/CX) - Ability to design and develop ETL Interfaces, Packages, Load plans, user functions, variables, and sequences in ODI for batch and real-time data integrations - Worked with multiple Cloud Platforms - Certification on FDI, OAC, and ADW Qualifications: Career Level - IC4 About Us: Oracle, a global leader in cloud solutions, leverages cutting-edge technology to address present-day challenges. With over 40 years of experience, Oracle partners with industry leaders across various sectors and continues to thrive by operating with integrity. The company is committed to fostering an inclusive workforce that promotes opportunities for all, recognizing that true innovation flourishes when everyone is empowered to contribute. Oracle offers competitive benefits based on parity and consistency, supporting employees with flexible medical, life insurance, and retirement options. The organization also encourages community involvement through volunteer programs. Commitment to inclusivity extends to people with disabilities at all stages of the employment process. For accessibility assistance or accommodation for a disability, individuals can reach out via email at accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.,