29 Serverless Computing Jobs - Page 2

Apply Here (Mandatory to consider your profile) : https://forms.gle/8UigBWPhwYFM6Uuu5 Hiring for a FAANG company. Note: This position is part of a program designed to support women professionals returning to the workforce after a career break (9+ months career gap) The role is within a dynamic and fast-evolving team focused on developing innovative technology solutions to convert offline customers into online customers. The team builds scalable, strategic, and sustainable products tailored to market needs, often deploying solutions that can be adapted globally. In this position, you will lead end-to-end development of solutions, leveraging a wide range of technologies, including cloud computing platforms, big data, machine learning, mobile platforms, APIs, and modern frontend frameworks. Your responsibilities will include maintaining high code quality standards, optimizing development processes, and mentoring junior engineers. This role thrives in a fast-paced environment where delivering impactful features and products is key. The ideal candidate is a skilled software engineer with experience building and launching distributed systems at scale. You are adaptable, thrive in dynamic and entrepreneurial environments, and are eager to mentor others. You excel at managing competing priorities, navigating ambiguity, and making data-driven decisions. Strong communication skills and the ability to influence and lead are critical for success in this role. Key Responsibilities : Collaborate with senior engineers to design and deliver high-quality technology solutions. Contribute to the development of distributed workflows hosted in cloud-native architecture. Maintain operational excellence for a rapidly scaling technology stack. Drive innovation through patents, technical presentations, and ideation sessions. Play a key role in hiring and nurturing technical talent. Define and measure success metrics to guide the evolution of technology products. Basic Qualifications: 2-8 years of professional software development experience (excluding internships). Proficiency in at least one software programming language. Preferred Qualifications : Bachelors degree in Computer Science or a related field (or equivalent experience). Coding Efficiency Key Skills : Arrays Graphs User Acceptance Testing (UAT) MySQL Oracle DynamoDB DNS VPN Unix Java C++ C# Python SQL Kotlin TypeScript Greedy Algorithms Backtracking Infrastructure as Code (IaC) Cloud Platform Management Serverless Computing Continuous Integration (CI) IDE Jenkins Docker Web Design Note : Work with FAANG, top MNCs, and fast-growing startupsLorvensoft connects you to premier tech roles via our recruitment partners like JCurve

Key Responsibilities 1. Solve Operational Challenges: Work with global teams to find creative solutions for customers across our software catalog 2. Customer Deployments: Plan, provision, and configure enterprise-level solutions for customers on a global scale. 3. Monitoring and Troubleshooting: Monitor customer environments to proactively identify and resolve issues while providing support for incidents. 4. Automation: Leverage and maintain automation pipelines to handle all stages of the software lifecycle. 5. Documentation: Write and maintain documentation for processes, configurations, and procedures. Qualifications 1.BS degree in Computer Science, Software Engineering, or an E&P-related field 2.Domain knowledge in E&P areas such as Geology, Geophysics, Well, or Production data is desirable. 3.Knowledge and experience with Database technologies (RDBMS,nosql), Software languages (Java, Python, NodeJS, Angular), Cloud Platforms (AWS, Azure), Cloud Managed Services (RDS, Messaging, Serverless Computing, blob storage), Provisioning (Terraform Helm), and Containerization (Docker) 4.Knowledge in the E&P Domain (Well, Seismic, Production data types) 5.Strong communication and collaboration skills. 6.Customer-driven and result-oriented focus. 7.Excellent problem-solving and troubleshooting skills. 8.Ability to work independently and as part of a team.

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). OCI is developing powerful, generative AI services for organizations worldwide. Oracle provides native generative AI services to help organizations automate end-to-end business processes, improve decision-making, and enhance customer experiences, in collaboration with Cohere, a leading AI platform for enterprise. Built on Oracle Cloud Infrastructure (OCI) and demonstrating Oracles unique Supercluster capabilities, Oracle generative AI services spans applications to infrastructure and aim to provide the highest levels of security, performance, and value in the industry. What OCI Generative AI Cloud Services are: OCI Generative AI is a managed service o seamlessly integrate LLMs into a wide range of enterprise use cases. The OCI Generative AI service supports Metas Llama 2 and Coheres models, together with a multilingual embeddings capability for over 100 languages. The service makes it easier to work with LLMs with functionality such as LangChain integration, endpoint management, and content moderation. OCI Generative AI includes an improved GPU cluster management experience with multi-endpoint support to host clusters, the ability to handle more model requests by scaling clusters, and endpoint analytics. The OCI Generative AI service also offers flexible fine-tuning available for Coheres Command 52/6B models. As a result, enterprises can continue to feel confident that their AI precisely fits their specific business context. With the OCI Generative AI service, customers can tackle a variety of use cases including: Customer operations: Automating customer service based on a customers product suite, experience, and language Marketing: Mass personalization of search, outreach, and customer nurture based on buyer profile and purchase history. Sales: Creating virtual sales representatives that guide prospects through offerings during a business transaction Risk and legal: Accelerating contract writing and drafting based on existing best practices, with multilingual support. Strategy and finance: At scale monitoring of competitors and updates from customers, across public and private sources. What is OCI Generative Agent Platform OCI Generative AI Agents is a fully managed service that combines the power of large language models (LLMs) with an intelligent retrieval system aimed at creating contextually relevant answers by searching your knowledge base. OCI Generative AI Agents supports several ways to on-board your data where you and your customers can interact with your data using a chat interface or API. Key Features Supports several data on-boarding methods and interaction channels (chat interface or API) Creates contextually relevant answers by searching your knowledge base Provides source attribution for every answer Offers hybrid search capabilities (lexical and semantic) Includes content moderation options for input and output Supports multi-turn conversations, where users can ask follow-up questions and receive answers that consider the context of previous questions and answers Can interpret data from two-axis charts and reference tables in a PDF, without needing explicit descriptions of the visual elements All the hyperlinks present in the PDF documents are extracted and displayed as hyperlinks in the chat response. Your Opportunity: As we innovate to provide a complete, end-to-end platform for generative AI, with advanced security, best-in-class data management, and a comprehensive portfolio of cloud applications able to address any business problem, we will be extremely happy to have you join us and share the very future of our Generative AI platform by building a cloud native Generative AI service. Our vision is to provide a world-class Generative AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fuelled by highly energetic, technology savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level IC5: Consulting Member Technical Staff Career Level - IC5 Responsibilities As an Consulting Member of the software engineering division, you will participate in all activities of development and operations of OCI Generative AI Service / Agent Platform. Technical Leadership: Provide thought leadership and technical guidance to development and operations teams on best practices, cloud infrastructure, Service Architecture of Generative AI services / Agent platform and enterprise specific services around Generative AI with best-in-class security for customers Performance Optimization: Identify performance bottlenecks and apply necessary optimizations to enhance Gen AI Service / Agent platform performance and scalability. Security Management: Ensure the security of cloud solutions by designing and implementing secure architectures, performing risk assessments, and adhering to best practices for identity management and data protection. Cost Optimization: Monitor and optimize cloud resource like GPUs, Caches, Vector stores usage to ensure cost efficiency while maintaining high performance and scalability. Strategize Deploying and scale Gen AI model on K8s cluster with optimal resources and maximum throughput. Compliance and Governance: Ensure compliance with industry standards and organizational policies regarding data privacy, security, and cloud governance. Operation Excellence: Troubleshoot, mitigate and resolve performance and design issues and incidents in production carve out runbooks, contribute to runbooks and present in operations review forums, Provide on-call manager OCI Generative AI Services to customers to manage service outage and swiftness to recovery Hiring and Enablement : Participate in talent hiring, bring in the best engineering mindset and enable them for success Disaster Recovery and High Availability: Design and implement high availability, backup, and disaster recovery strategies for cloud-based systems and applications. Collaboration & Documentation: Work closely with other architects, engineers, and stakeholders to develop and maintain system designs, architecture diagrams, and documentation. Work with applied scientists and address external and internal shareholders product challenges Innovation: Stay current with the latest advancements in cloud technologies, Generative AI, Agentic Platform, Multi Agent System and Tooling and evaluate their applicability to improve infrastructure solutions and increase customer adoption Qualifications Bachelors or masters degree or equivalent experience (preferred) in Computer Science, Computer Engineering, or related technical field. 15+ years overall experience in software development, with at least 4 years architecture and designing distributed systems in cloud Practical experience in Architecture, design, implementation and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc Working knowledge of current techniques and approaches in machine learning and statistical or mathematical models both classical and LLMs Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure Strong drive to learn and master new technologies and techniques Deep understanding of system architecture, data structures, algorithms, and excellent problem-solving skills. Experience with cloud-native technologies, such as Kubernetes, Docker, and serverless computing.

Job Description Were a cloud technology company that provides organizations around the world with computing infrastructure and software to help them innovate, unlock efficiencies, and become more effective. We also created the worlds first and only autonomous database to help organize and secure our customers data. Oracle Cloud Infrastructure offers higher performance, security, and cost savings. It is designed so businesses can move workloads easily from on-premises systems to the cloud, and between cloud and on-premises and other clouds. Oracle Cloud applications provide business leaders with modern applications that help them innovate, attain sustainable growth, and become more resilient. The work we do is not only transforming the world of business--it's helping defend governments, and advance scientific and medical research. From nonprofits to companies of all sizes, millions of people use our tools to streamline supply chains, make HR more human, quickly pivot to a new financial plan, and connect data and people around the world. Career Level - M4 Responsibilities Strategic Leadership: As the Senior Director of Applied Science, you will be responsible for setting the strategic direction for our cloud services from a scientific perspective. Collaborate with the executive team to align the company's vision with the research and development agenda. Applied Research: Lead a team of scientists, data engineers, and developers in conducting applied research to enhance our cloud services. Explore emerging technologies, analyze market trends, and leverage data-driven insights to develop innovative solutions that meet the evolving needs of our clients. Cloud Technology Development: Drive the development and deployment of cutting-edge cloud-based technologies, including but not limited to cloud infrastructure, data storage, serverless computing, artificial intelligence, and machine learning services. Cross-Disciplinary Collaboration: Work closely with cross-functional teams to integrate multimodal capabilities into various applications and products. Foster a culture of innovation and collaboration between the Applied Science team and other departments, including product development, engineering, and marketing. Encourage knowledge sharing and joint problem-solving to leverage the full potential of our cloud services. Product Innovation: Work closely with product managers and engineers to translate scientific advancements into practical, scalable, and marketable cloud services. Ensure that our products are at the forefront of technological innovation and competitive in the cloud services industry. Data Analysis and Insights: Utilize data analytics and machine learning techniques to derive actionable insights from large datasets. Leverage these insights to optimize cloud service offerings, enhance performance, and drive informed business decisions. Intellectual Property and Patents: Identify opportunities for intellectual property creation and patent development based on innovative cloud technologies and solutions. Guide the team in preparing and filing patent applications to protect our intellectual assets. Quality Assurance: Implement robust testing and validation procedures to ensure the reliability, security, and performance of our cloud services. Uphold industry standards and best practices in cloud technology. Market Trends: Stay abreast of multimodal technology changes, competitive offerings, and customer feedback to identify new opportunities for product enhancements and expansions. Budget Management: Oversee the budget allocation for the Applied Science organization, ensuring resources are optimized to meet research goals and deliver impactful cloud solutions. Preferred Skills and Experience A Ph.D. in Computer Science (Machine Learning, Deep Learning), or a related field is preferred. Experience: Demonstrated experience in leading research and development efforts within the cloud services industry. Proven track record of driving innovation and developing cloud-based solutions. Technical Expertise: Deep understanding of cloud computing technologies and services. Familiarity with data analytics, machine learning, and artificial intelligence applied to cloud services. Leadership Skills: Exceptional leadership and team management abilities, with experience leading cross-functional teams and driving successful projects. Business Acumen: Strong business acumen and the ability to align scientific efforts with the company's strategic objectives and market demands. Communication Skills: Excellent communication and presentation skills to convey complex technical concepts to diverse audiences, including non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving skills to address technical challenges and optimize cloud services effectively. Adaptability: Thrive in a fast-paced, dynamic environment and adapt quickly to changing priorities and customer needs