20 Cloud Platforms jobs in New Delhi
Senior Software Engineer - Cloud Platforms
Posted 3 days ago
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Job Description
- Designing and implementing scalable microservices architectures on cloud platforms (AWS, Azure, GCP).
- Developing and managing containerized applications using Docker and Kubernetes.
- Building and maintaining CI/CD pipelines for automated deployment and testing.
- Writing clean, efficient, and well-documented code in languages such as Java, Python, Go, or Node.js.
- Monitoring and optimizing cloud infrastructure for performance, security, and cost-efficiency.
- Collaborating with cross-functional teams to define and implement technical solutions.
- Troubleshooting and resolving complex production issues in distributed systems.
- Contributing to architectural discussions and technical roadmap planning.
- Mentoring junior engineers and promoting best practices in software development and cloud operations.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 6+ years of experience in software development, with at least 3 years focused on cloud platforms.
- Proficiency in at least one major cloud provider (AWS, Azure, GCP).
- Strong experience with containerization technologies (Docker, Kubernetes).
- Solid understanding of microservices architecture and distributed systems.
- Experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, GitHub Actions).
- Proficiency in one or more backend programming languages (e.g., Java, Python, Go).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and effectively in a remote team environment.
Senior Software Engineer - Cloud Platforms
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, test, and deploy scalable and reliable cloud-based applications and services.
- Architect and implement microservices-based solutions on cloud platforms (e.g., AWS, Azure, GCP).
- Develop and maintain CI/CD pipelines for automated build, test, and deployment processes.
- Optimize application performance, scalability, and cost-effectiveness within cloud environments.
- Collaborate with product managers and stakeholders to define technical requirements and product roadmaps.
- Write high-quality, well-documented, and maintainable code.
- Troubleshoot and resolve complex technical issues across the stack.
- Participate in code reviews to ensure code quality and adherence to best practices.
- Mentor junior engineers and contribute to the team's technical growth.
- Stay up-to-date with emerging cloud technologies and software development trends.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 5-7 years of professional software development experience.
- Proven experience in developing and deploying applications on cloud platforms (AWS, Azure, or GCP).
- Strong proficiency in at least one object-oriented programming language (e.g., Java, Python, Go, C#).
- Experience with microservices architecture, containerization (Docker, Kubernetes), and RESTful APIs.
- Solid understanding of databases (SQL and NoSQL) and data modeling.
- Familiarity with CI/CD tools and practices (e.g., Jenkins, GitLab CI, CircleCI).
- Excellent problem-solving, analytical, and communication skills.
- Experience with agile development methodologies.
Senior Software Engineer - Cloud Platforms
Posted 10 days ago
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Job Description
Responsibilities:
- Design, develop, test, deploy, maintain, and improve software for cloud platforms.
- Lead the architecture and implementation of microservices and distributed systems.
- Write clean, maintainable, and efficient code in languages such as Java, Python, Go, or Node.js.
- Develop and manage CI/CD pipelines for automated testing and deployment.
- Implement and manage cloud infrastructure on platforms like AWS, Azure, or GCP.
- Collaborate with product managers, designers, and other engineers to define and deliver new features.
- Troubleshoot and resolve complex technical issues in production environments.
- Mentor junior engineers and contribute to code reviews, ensuring high standards of quality.
- Participate in architectural discussions and provide technical leadership.
- Stay up-to-date with emerging cloud technologies and best practices.
- Develop and maintain system documentation and technical specifications.
- Optimize application performance, scalability, and reliability.
- Ensure security best practices are integrated into the software development lifecycle.
- Contribute to the development of APIs and system integrations.
- Participate in on-call rotation for production support as needed.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of professional software development experience, with a focus on cloud-native applications.
- Deep understanding of cloud computing principles and experience with at least one major cloud provider (AWS, Azure, GCP).
- Proficiency in one or more programming languages (e.g., Java, Python, Go, Node.js).
- Experience with containerization technologies (Docker, Kubernetes).
- Strong knowledge of microservices architecture and distributed systems.
- Experience with CI/CD tools and methodologies (e.g., Jenkins, GitLab CI, CircleCI).
- Familiarity with database technologies (SQL and NoSQL).
- Excellent problem-solving skills and the ability to work effectively in a remote, collaborative environment.
- Strong communication and interpersonal skills.
- Experience with infrastructure as code (e.g., Terraform, CloudFormation) is a plus.
- Understanding of software development best practices, including testing, version control, and agile methodologies.
Lead AI/ML Engineer - Cloud Platforms
Posted 5 days ago
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Job Description
Key Responsibilities:
- Lead the end-to-end development lifecycle of machine learning models, from data preprocessing and feature engineering to model training, evaluation, and deployment.
- Design and implement scalable and efficient data pipelines for machine learning workflows.
- Develop and integrate AI/ML models using Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Optimize model performance for deployment on cloud platforms (e.g., AWS, Azure, GCP).
- Collaborate with data scientists and domain experts to understand business requirements and translate them into technical solutions.
- Mentor and guide junior AI/ML engineers, fostering a culture of learning and continuous improvement.
- Conduct code reviews, performance testing, and ensure the reliability and maintainability of ML systems.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research and apply them to solve real-world problems.
- Contribute to architectural decisions related to AI/ML infrastructure and tooling.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying machine learning models in production environments.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Proven experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Solid understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work effectively in a hybrid team environment.
- Experience with MLOps principles and tools is highly desirable.
Senior Software Development Engineer - Cloud Platforms
Posted 13 days ago
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Job Description
The Senior Software Development Engineer will be responsible for designing, developing, testing, and deploying scalable and robust software applications for cloud platforms. You will contribute to the entire software development lifecycle, from requirements gathering and architecture design to coding, debugging, and maintenance. This position requires deep expertise in cloud technologies (AWS, Azure, GCP), proficiency in multiple programming languages, and a strong understanding of microservices architecture and DevOps practices.
Key Responsibilities:
- Design, develop, and maintain high-quality, scalable, and performant software solutions for cloud environments.
- Collaborate with product managers and architects to define software requirements and technical designs.
- Write clean, efficient, and well-documented code in languages such as Java, Python, or Go.
- Develop and implement automated tests (unit, integration, end-to-end) to ensure software quality and reliability.
- Participate in code reviews, providing constructive feedback to peers.
- Troubleshoot and resolve complex software defects and performance issues.
- Implement and manage CI/CD pipelines and DevOps practices.
- Contribute to architectural decisions and technology selection for cloud-based applications.
- Mentor junior engineers and promote best practices in software development.
- Stay up-to-date with the latest cloud technologies, frameworks, and industry trends.
- Ensure the security and compliance of deployed applications.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 7 years of professional software development experience, with a strong focus on cloud platforms.
- Proven experience with at least one major cloud provider (AWS, Azure, or GCP).
- Proficiency in one or more backend programming languages (e.g., Java, Python, Go, Node.js).
- Strong understanding of microservices architecture, RESTful APIs, and distributed systems.
- Experience with containerization technologies (Docker, Kubernetes) is highly desirable.
- Familiarity with DevOps tools and practices (e.g., Jenkins, Git, Ansible).
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and teamwork abilities.
- Experience working in an Agile development environment.
This is a premier opportunity for a seasoned software engineer to work on cutting-edge cloud technologies and contribute to impactful projects.
Senior Remote Backend Software Engineer - Cloud Platforms
Posted 10 days ago
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Job Description
Key Responsibilities:
- Design, develop, and maintain scalable and resilient backend services and APIs.
- Build and optimize data-intensive applications and microservices architectures.
- Write high-quality, well-tested, and maintainable code in one or more backend languages (e.g., Java, Python, Go, Node.js).
- Collaborate with cross-functional teams including product management, frontend, and DevOps.
- Implement and manage CI/CD pipelines for automated testing and deployment.
- Troubleshoot, debug, and resolve complex production issues promptly.
- Optimize application performance, scalability, and resource utilization in cloud environments.
- Contribute to architectural discussions and drive technical decision-making.
- Mentor junior engineers and promote best practices in software development.
- Ensure security best practices are implemented throughout the development lifecycle.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5+ years of professional experience in backend software development.
- Proven experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, Node.js).
- Extensive experience designing and building RESTful APIs and microservices.
- Solid understanding of database technologies (SQL and NoSQL).
- Experience with messaging queues (e.g., Kafka, RabbitMQ) and caching mechanisms.
- Familiarity with CI/CD tools and practices.
- Excellent problem-solving, debugging, and analytical skills.
- Strong communication and collaboration skills for a remote team environment.
Google Cloud Developer
Posted today
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Job Description
deliver demos related to user stories assigned to them and participate fully in Agile practices as determined by the team and leadership.
assigned work during program increment planning and sprint planning and must be prepared to develop infrastructure as code as it pertains to either AWS, Azure, or Google Cloud platform.
be prepared for sharing experience and guidance to a cross-functional team on how to integrate existing business and technology processes into a cloud platform.
part of a team that plans, designs, and implements the configurations needed and the connections needed from our on-prem systems to various cloud platforms.
translate user stories into technical tasks and estimate velocity.
Candidate should have:
Experience with DevOps or automation in a cloud environment
Experience integrating on-prem systems with cloud systems
Experience accomplishing goals through cross-team collaboration
Experience with identity and access management in a complex enterprise environment
Exceptional interpersonal skills with the ability to work in a diverse environment
SAFe or Agile experience or certifications
Bachelor’s degree and 5+ years of relevant experience or a comparable combination of education, training, and experience
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Machine Learning, Google Cloud
Posted today
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Job Description
• Experience with building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
• Ability to quickly learn, understand and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Experience architecting and developing software or infrastructure for scalable, distributed systems.