10 Serverless Computing Jobs

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

Overview Platform Architect plays a crucial role in designing and implementing cloud solutions based on Microsoft Azure. The role involves a blend of technical expertise in cloud infrastructure, architectural design, and leadership to guide teams and stakeholders through Azure deployments. Responsibilities Design, develop, and implement Azure-based cloud solutions tailored to business requirements. Participate in architectural discussions and design solutions for complex cloud applications, ensuring optimal performance, scalability, and security. Oversee the migration of legacy systems to Azure, ensuring minimal downtime and seamless integration. Create architecture blueprints and documentation for stakeholders and development teams. Collaborate with development, operations, and security teams to ensure solutions meet non-functional requirements such as security, scalability, and performance. Ensure governance by implementing best practices and compliance policies, especially in industries with stringent regulatory requirements. Provide expert-level guidance on the adoption of Azure services such as IaaS, PaaS, serverless computing, containers, and microservices architecture. Engage with clients and internal stakeholders to identify business challenges and develop appropriate cloud solutions. Conduct performance tuning and optimization of Azure resources. Continuously evaluate new Azure services and stay updated with platform enhancements. Participate in R&D for exploring emerging cloud technologies to enhance architectural practices. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus. 7 + years of experience in the data and analytics platform 5+ years of experience in designing and deploying cloud solutions with at least 3 years on the.

Responsibilities Design and implement scalable cloud architectures. Collaborate with stakeholders to define cloud strategies and roadmaps. Optimize cloud infrastructure for performance and cost-efficiency. Ensure compliance with cloud security standards. Job Description Design and implement scalable cloud architectures for businesses. The role involves optimizing cloud infrastructure for performance, cost-efficiency, and security. Qualifications Design and implement scalable cloud architectures. Collaborate with stakeholders to define cloud strategies and roadmaps. Optimize cloud infrastructure for performance and cost-efficiency. Ensure compliance with cloud security standards. Skills Expertise in AWS, Azure, or Google Cloud. Strong understanding of cloud-native architecture. Experience with microservices, serverless computing, and containerization. Knowledge of cloud cost management tools.

Position - Azure Devops Engineer Experience- 3+ Yrs Location- Bangalore Job Summary: We are seeking a highly skilled Azure DevOps Engineer with 3+ years of experience to join our dynamic team in Bangalore. The ideal candidate will have in-depth knowledge of Azure cloud services, strong experience with CI/CD pipelines, and expertise in using Infrastructure as Code (IaC) with Terraform. You will play a critical role in developing, managing, and optimizing our cloud infrastructure and deployment processes, ensuring scalability, security, and high availability. Responsibilities: Azure Resource Management : Manage and configure a wide array of Azure resources including Function Apps, API Management, API Operations, Managed Identities, Service Principals, Key Management Services (KMS), Storage Accounts, Cosmos DB, Workflows, Logic Apps, and other serverless resources. Containerized Workloads : Deploy and manage Azure Container Apps , Container App Jobs , and containerized applications in Azure Kubernetes Service (AKS), ensuring efficient scaling, deployment, and resource management. Identity and Access Management (IAM) : Implement and manage Role-Based Access Control (RBAC) policies to secure cloud resources. Administer Managed Identities and Service Principals for secure service-to-service authentication. CI/CD Pipeline Automation : Develop and maintain CI/CD pipelines using tools such as Jenkins, Bitbucket Pipelines, GitHub Actions, or GitLab CI/CD to streamline the build, test, and deployment processes. Infrastructure as Code (IaC) : Use Terraform to provision and manage infrastructure in Azure, ensuring that all environments (Dev, Test, Production) are properly configured and aligned with security and scalability best practices. Serverless Architecture : Design and implement serverless applications using Azure Function Apps , Logic Apps , and other serverless resources, ensuring seamless integration between different Azure services. Monitoring and Optimization : Set up monitoring and logging using Azure Monitor and Application Insights to ensure optimal performance of cloud resources. Troubleshoot and resolve issues to maintain system health and uptime. Security : Apply best practices in cloud security, including data encryption, Key Management Services (KMS), and RBAC, to protect sensitive information and ensure compliance with regulatory standards. Collaboration and Documentation : Work closely with development, QA, and security teams to define best practices and operationalize DevOps workflows. Document processes, configurations, and troubleshooting guides. Required Skills: Microsoft Certified: Azure Administrator Associate Azure Services : Function Apps, API Management, API Operations, Managed Identity, Service Principals, Key Management Services (KMS), Storage Accounts, Cosmos DB, Logic Apps, Workflows, IAM, RBAC, Azure Kubernetes Service (AKS) , Azure Container Apps , and Container App Jobs CI/CD Tools : Jenkins, Bitbucket Pipelines, GitHub Actions, GitLab CI/CD Terraform : Extensive experience with Infrastructure as Code (IaC) using Terraform for Azure Serverless Computing : Experience with Azure Functions, Logic Apps, and other serverless services Scripting : Proficiency in PowerShell, Bash, or Python for automation tasks Monitoring : Azure Monitor, Application Insights Security Best Practices : Knowledge of IAM, RBAC, Managed Identities, and secure service-to-service communication If interested kindly share your cv on sonams@smart-source.in Regards Sonam Sharma HR Consultant

We are looking for 10 Software Engineer IIs (Data) to play a key role in delivering software products within a high-impact engineering team. You will collaborate with Product Managers, User Experience Designers, Architects, and other team members to modernize and build products aligned with the product teams vision and strategy. These products will leverage multi-cloud platforms, human-centered design, Agile, and DevOps principles to deliver industry-leading solutions at high velocity and exceptional quality. Youll be working alongside talented software engineering professionals, leading by example, mentoring others, and thriving in a fast-paced environment by embracing inclusive behaviors, demonstrating attention to detail, and navigating ambiguity. Team Overview The Data and AI enablement teams focus on accelerating end-to-end data and AI adoption across advanced analytics, product teams, and sales and operations functions. The broader team is responsible for data strategy, availability, and adoption via self-service tools, including AI model registry, activation of models for business, multichannel testing, and customer relationship measurement all in alignment with Responsible AI principles. The Sales Hub team supports seamless execution and distribution of sales transactions. It plays a pivotal role in delivering accurate data promptly, enabling better inventory management, financial planning, sales performance improvement, customer engagement, risk mitigation, and competitive advantage. Key Responsibilities Contribute to the delivery of complex solutions by breaking down big problems into smaller pieces Actively participate in team planning activities Ensure quality and integrity of the SDLC and identify opportunities to improve team practices through recommended tools and methods Triage complex issues independently Stay informed of the technology landscape and help plan delivery of broad business needs across multiple applications Set a consistent example of agile development practices and coach peers on cross-functional collaboration Mentor junior engineers and help new hires ramp up Contribute to and enhance internal libraries and tools Understand the business domain supported by your applications Proactively communicate status and issues to leadership Identify risks and challenges in your work and team deliverables Collaborate across teams to solve customer-centric problems creatively Show commitment to critical delivery deadlines Basic Qualifications 3+ years of relevant professional experience with a bachelors degree OR equivalent At least 1+ years in cloud engineering and architecture with AWS services (e.g., EC2, Lambda, S3, RDS, API Gateway, etc.) 2+ years of experience in microservices architecture using Java, Kafka, and NoSQL databases 2+ years of Java and Spring Boot development with a strong foundation in software engineering principles Experience building and deploying microservices Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, or AWS CodePipeline Ability to understand business problems and apply engineering design principles to solve for scalability, performance, and security Proven experience working directly with engineers, product managers, and stakeholders Strong communication and collaboration skills Preferred Qualifications Experience in omni-channel retail or sales environments Familiarity with Docker containerization and automated testing practices Passion for keeping up with new technologies and industry trends Proactive learning mindset and knowledge-sharing attitude Experience with monitoring/logging tools like Prometheus, Grafana, ELK stack, or AWS CloudWatch Understanding of security best practices in cloud environments Technical Skills (Tools, Technologies, Frameworks, Platforms) Programming Languages & Frameworks: Spring Boot Java Cloud Platforms & Services (AWS-focused): AWS EC2 AWS Lambda AWS S3 AWS RDS AWS API Gateway AWS CodePipeline AWS CloudWatch Microservices Architecture: Microservices Design & Development Service-to-service communication API design and implementation Databases: NoSQL Databases Data Streaming / Messaging Systems: Kafka DevOps & CI/CD Tools: Jenkins GitLab CI CI/CD Pipelines (general understanding and implementation) Containerization & Virtualization: Docker Monitoring and Logging Tools: Prometheus Grafana ELK Stack (Elasticsearch, Logstash, Kibana) AWS CloudWatch (mentioned above under AWS) Applied Technical Skills (Practices, Design Principles, Methodologies, etc.) Software Engineering Principles: Modular and scalable architecture Object-oriented programming (OOP) Code quality, maintainability, and reusability best practices Agile Development Methodologies: Scrum/Kanban practices Agile ceremonies (Planning, Standups, Retrospectives) DevOps Practices: Continuous Integration / Continuous Deployment Infrastructure as Code mindset System Design and Architecture: Breaking down complex systems into smaller manageable components Designing solutions that scale and perform under load Cloud Engineering & Architecture Principles: Multi-cloud awareness Designing for resilience, fault-tolerance, and cost-efficiency AI/ML Enablement (Supporting Systems, not core model development): AI model registry integration Model activation pipelines Responsible AI principles (adoption, governance) Data Engineering & Analytics Support: Data availability and strategy design Self-service data tooling enablement Multichannel testing frameworks Customer relationship measurement systems Collaboration & Communication: Working with cross-functional teams (Product, UX, Architecture) Problem-solving with cross-team dependencies Proactive communication and status reporting Quality Engineering: Automated Testing practices Ensuring high-quality software delivery through unit testing, integration testing, and regression testing Security Best Practices (Cloud-focused): Secure deployment patterns Identity and access management in cloud setups

Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture) Required Candidate profile Work across teams to integrate our systems with existing internal systems, Data Fabric Participate in technology roadmap and architecture discussions to turn business

Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture) Required Candidate profile Work across teams to integrate our systems with existing internal systems, Data Fabric Participate in technology roadmap and architecture discussions to turn business

Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture) Required Candidate profile Work across teams to integrate our systems with existing internal systems, Data Fabric Participate in technology roadmap and architecture discussions to turn business

The Principal Software Engineer will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the cornerstone of scalable digital transformation across PepsiCos value chain. This leader will deliver the end-to-end software development experience, deliver high quality software as part of the DevOps process, and have accountability for our business operations. The leader in this role will provide technical oversight and direction to our software development team to ensure we deliver the best possible software solutions and ensure they are generating value through cost savings or incremental value. This leader will work closely with the user experience, product, IT, and process engineering teams to develop new products and prioritize deliver solutions across S&T core priorities. Responsibilities Support the vision and guide a team of engineers to build and support digital products and services (DPA) across S&T core priorities: Drive partnerships with User Experience, Product Management, IT, Data & Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio Develop software development strategy utilizing industry standards. Create roadmap and timing of implementation of the roadmap based on business requirements and strategy. Lead multi-discipline, high-performance work teams distributed across remote locations effectively. Build, manage, develop, and mentor a team of engineers. Interact with executives across the company to lead the narrative around software engineering Develop and expand DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences Manage and appropriately escalate delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders Interact with key business partners to recommend solutions that best meet the strategic needs of the business. Qualifications A Bachelors Degree in Computer Science, Engineering or a related field Masters or PhD in Computer Science or Engineering preferred Minimum of 10 years of relevant software development and engineering management experience 3+ years of experience on architecting fault tolerant, high scale distributed systems, database design. Commanding knowledge of data structures, algorithms, and object-oriented design 10+ years of experience in Java and Spring / SpringBoot ecosystem, JUnit, BackEnd MicroServices, Serverless Computing, REST APIs, Spring Security, Reactive Programming, GraphQL, SQL queries. 3+ years of experience with JavaScript/TypeScript, CSS, HTML, Node.js, React / React Native FrontEnd frameworks. 5+ years of Experience with NoSQL and/or Relational databases (2 years of NoSQL experience is preferred) Experience with Azure Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions 2+ years of experience with Kubernetes and Production deployment and processes. 4+ years of experience with Kafka Experience with mission critical, 24x7 systems Experience with high throughput cloud native distributed systems Experience implementing and consuming large-scale web services Deep knowledge of design patterns.