4 Orchestration Kubernetes Jobs

You are an experienced Red Hat OpenShift Subject Matter Expert (SME) with 5-10 years of experience. Your role involves leading and supporting containerized application platform initiatives by architecting, deploying, managing, and troubleshooting OpenShift environments to ensure scalability, security, and high performance. As an OpenShift SME, you will provide technical leadership, drive best practices, and collaborate closely with cross-functional teams to advance container orchestration capabilities. Your responsibilities include designing and architecting OpenShift environments aligned with enterprise goals, defining best practices for deployment and management, deploying and managing OpenShift clusters across various environments, integrating OpenShift with CI/CD pipelines and DevOps tools, ensuring high availability and reliability, implementing security best practices, optimizing resource usage, and collaborating with teams to integrate OpenShift with existing workflows. Key technical skills required for this role include proficiency in Red Hat OpenShift installation, configuration, and management, expertise in security, firewall, and storage concepts, strong Linux administration skills, experience with container technologies like Docker and orchestration tools like Kubernetes, scripting skills in Python and Bash, expertise in automation tools like Ansible and Terraform, familiarity with CI/CD tools and monitoring solutions. Soft skills such as strong analytical and troubleshooting skills, excellent communication abilities, both technical and non-technical, ability to work independently and within a team, and collaboration with customers to understand their requirements are essential for this role. You should hold a Bachelor's degree in Computer Science or a related field, have experience working in Agile/Scrum environments, be flexible to work in a 24/7 support environment, and have proven experience as a DevOps Engineer. Experience with cloud platforms, infrastructure as code tools, security best practices, and familiarity with OpenShift Pipelines, GitOps, or similar options would be a plus.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line combining expertise in strategy, technology, data science, and creative design. As a Transformation Lead, your role will focus on Azure cloud architecture and implementing Generative AI (GenAI) solutions. This position involves designing and building secure, scalable applications using Azure services, leading migration to Azure, applying architectural patterns like microservices, and collaborating with various teams for solution delivery. In the realm of Generative AI Development & Integration, you will be responsible for designing and implementing GenAI solutions using frameworks such as LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK. Your tasks will include creating AI-powered solutions for use cases like intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems. Additionally, you will integrate agentic components into production systems and ensure alignment with enterprise standards and business objectives. To qualify for this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field, with strong experience in Azure cloud services and infrastructure. Proficiency in Python for AI/ML development, practical understanding of GenAI frameworks, experience with LLMs and GenAI techniques, familiarity with containerization and orchestration, and knowledge of CI/CD and MLOps workflows are essential. Your ability to translate business needs into scalable technical solutions will be crucial for success in this position. At Capgemini, we value flexible work arrangements to support your work-life balance, offering options like remote work and flexible hours. Our commitment to career growth is evident through various growth programs and professions designed to help you explore diverse opportunities. You will have access to certifications in cutting-edge technologies such as Generative AI. Capgemini, a global business and technology transformation partner, focuses on accelerating organizations" transition to a digital and sustainable world. With a diverse team of over 340,000 members in 50 countries, Capgemini leverages its expertise in AI, cloud, and data to deliver end-to-end services and solutions. Trusted by clients for over 55 years, Capgemini is dedicated to unlocking technology's value to address a broad range of business needs and reported global revenues of 22.5 billion in 2023.,

This role is for one of the Weekday's clients. The position offers a salary range of Rs 1200000 to Rs 3400000 per annum (INR 12-34 LPA) with a minimum experience requirement of 2 years. The location for this full-time job is Gurgaon. We are seeking a skilled Backend Software Developer proficient in .NET technologies, cloud platforms such as AWS, Azure, GCP, and microservices architecture. The primary responsibility of this role is to contribute to the development of a product that assists retailers in optimizing their Retail Media business for enhanced ad revenue and scalability. As a member of our team, you will be involved in designing, developing, and maintaining highly scalable and efficient backend systems. Collaboration with cross-functional teams will be crucial to deliver top-notch solutions that guarantee optimal performance, reliability, and scalability. Key Responsibilities: - Design and develop robust backend systems and services using .NET technologies. - Build, deploy, and manage microservices in cloud environments to ensure scalability, fault tolerance, and performance. - Utilize cloud technologies (AWS, Azure, GCP) for the deployment and optimization of backend services. - Write clean, maintainable, and efficient code following best coding practices and standards. - Optimize backend services for performance, security, and reliability. - Collaborate with front-end developers, DevOps engineers, product managers, and other stakeholders for integrated solutions. - Provide mentorship to junior developers when necessary. - Implement automation frameworks, integrate CI/CD pipelines, and drive continuous improvement in deployment and testing. - Write unit, integration, and performance tests while troubleshooting and resolving issues in development and production environments. - Maintain detailed documentation for backend services, architecture, and workflows. Key Skills & Qualifications: - 2 to 4 years of experience in C#, ASP.NET, .NET Core, and related frameworks. - Strong expertise in designing, developing, and deploying microservices-based applications. - Hands-on experience with at least one cloud platform (AWS, Azure, GCP) including cloud-native services like containers (Docker), serverless, and Kubernetes. - Solid understanding of relational and NoSQL databases (SQL Server, PostgreSQL, MongoDB, etc.) with experience in cloud database services. - Proficiency in designing RESTful APIs, GraphQL, and integrating third-party services. - Experience with CI/CD pipelines, version control systems (Git, Jenkins, Azure DevOps, GitLab). - Knowledge of event-driven architecture, messaging queues (Kafka, RabbitMQ), and service discovery. - Understanding of security principles (authentication, authorization, encryption, and secure coding practices). - Familiarity with performance optimization, load balancing, and monitoring tools (Prometheus, Grafana). - Strong problem-solving and debugging skills with attention to detail. Preferred Skills: - Experience with containerization (Docker) and orchestration (Kubernetes). - Familiarity with Agile methodologies and Scrum practices. - Knowledge of monitoring and logging tools (ELK stack, Datadog, New Relic). - Experience with serverless architectures.,

Job Summary: We are looking for a highly skilled Backend Data Engineer to join our growing FinTech team. In this role, you will design and implement robust data models and architectures, build scalable data ingestion pipelines, and ensure data quality across financial datasets. You will play a key role in enabling data-driven decision-making by developing efficient and secure data infrastructure tailored to the fast-paced FinTech environment. Key Responsibilities: Design and implement scalable data models and data architecture to support financial analytics, risk modeling, and regulatory reporting. Build and maintain data ingestion pipelines using Python or Java to process high-volume, high-velocity financial data from diverse sources. Lead data migration efforts from legacy systems to modern cloud-based platforms. Develop and enforce data validation processes to ensure accuracy, consistency, and compliance with financial regulations. Create and manage task schedulers to automate data workflows and ensure timely data availability. Collaborate with product, engineering, and data science teams to deliver reliable and secure data solutions. Optimize data processing for performance, scalability, and cost-efficiency in a cloud environment. Required Skills & Qualifications: Proficiency in Python and/or Java for backend data engineering tasks. Strong experience in data modelling , ETL/ELT pipeline development , and data architecture . Hands-on experience with data migration and transformation in financial systems. Familiarity with task scheduling tools (e.g., Apache Airflow, Cron, Luigi). Solid understanding of SQL and experience with relational and NoSQL databases. Knowledge of data validation frameworks and best practices in financial data quality. Experience with cloud platforms (AWS, GCP, or Azure), especially in data services. Understanding of data security , compliance , and regulatory requirements in FinTech. Preferred Qualifications: Experience with big data technologies (e.g., Spark, Kafka, Hadoop). Familiarity with CI/CD pipelines , containerization (Docker), and orchestration (Kubernetes). Exposure to financial data standards (e.g., FIX, ISO 20022) and regulatory frameworks (e.g., GDPR, PCI-DSS). Role & responsibilities Preferred candidate profile