85 Cloud Engineers jobs in Jaipur

RONIN International is a B2B market research company specialising in business, healthcare and tech studies.

We are seeking professionals who manage cloud computing products/services or security solutions.

Our study aims to understand your perceptions and professional experiences with cloud computing products and services or security solutions.

The paid consultancy session will be conducted as an online questionnaire, lasting 20 minutes.

You will be compensated USD 20 for 20 minutes of your time.

• We're looking for professionals with purchase influence for or manage cloud computing products & services OR security solutions.

Requirements: Professionals with experience in managing cloud computing products/services or security solutions. We also need individuals who have a significant impact on purchasing decisions related to these technologies.

What to Expect: A 20-minute online questionnaire that provides valuable insights into the field of cloud computing.

• Understanding the basics of cloud computing (IaaS, PaaS, SaaS).
• Introduction to major cloud platforms like AWS, Azure, or Google Cloud.
• Learning about virtual machines, containers, and serverless computing.
• Grasping fundamental networking concepts in a cloud context.
• Exploring cloud storage solutions and database services.
• Understanding cloud security best practices.
• Basic scripting and automation techniques.
• Participating in team projects to deploy and manage simple cloud applications.
• Learning to troubleshoot common cloud infrastructure issues.
• Developing professional communication and collaboration skills in a remote team environment.

• A strong desire to learn and a passion for technology.
• Excellent problem-solving skills and a logical approach to challenges.
• Good communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Basic computer literacy and familiarity with operating systems.
• A proactive attitude and willingness to ask questions and seek help.
• High school diploma or equivalent required; some college coursework in a technical field is a plus.
• Must have reliable internet access and a suitable remote work environment.
• Candidates located in or near **Jaipur, Rajasthan, IN** are encouraged to apply, but this role is open to any qualifying remote applicant.

• Assist in the setup and configuration of cloud environments.
• Monitor cloud resources and performance metrics.
• Perform basic troubleshooting of cloud-related issues.
• Support the documentation of cloud processes and procedures.
• Learn and apply best practices for cloud security and resource management.
• Collaborate with the cloud engineering team on assigned tasks.
• Gain practical experience with cloud platforms like AWS, Azure, or GCP.
• Participate in team meetings and knowledge-sharing sessions.
• Contribute to small projects under the guidance of senior engineers.
• Develop foundational skills in cloud computing and IT infrastructure.

• Currently pursuing or recently completed a Bachelor's degree in Computer Science, IT, or a related field.
• Basic understanding of computer science fundamentals and operating systems.
• Familiarity with programming concepts is a plus.
• Eagerness to learn about cloud computing technologies.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and manage time effectively in a remote setting.

Shape the Future of Cloud Computing

We are looking for a highly motivated and talented individual to join our engineering team. As a key member, you will play a crucial role in developing critical components of our Virtual FPGA technology's static shell.

• You will be responsible for architecting high-performance cybersecurity applications that push the boundaries of our platform.
• Collaborate on system design, performance analysis, and integration in a constantly evolving codebase.
• Embrace the full development lifecycle from concept to real-world deployment.

• Develop sophisticated networking and cybersecurity applications using FPGA virtualization and Dynamic Function eXchange (DFX).
• Collaborate with industry veterans in hardware and cloud computing to gain practical knowledge and expertise.
• Contribute to tangible impact at a fast-growing tech startup.
• Expertise in collaborating within a distributed international team using agile methodologies.

• Currently pursuing a Master's or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field.
• Experience in FPGA system development, particularly with AMD/Xilinx FPGAs.
• Proficiency in Verilog and/or SystemVerilog.
• Strong understanding of network protocols (e.g., Ethernet, TCP/IP, UDP).
• Programming skills in C/C++.
• Familiarity with software/hardware development in a Linux environment and Git for version control.
• A background in FPGA-based networking application development or performance analysis.

• A self-starter mindset thriving in a fast-paced environment.
• Experience with AMD/Xilinx Versal devices.
• Experience with Dynamic Function eXchange (DFX).
• A keen interest in cybersecurity application development.
• Familiarity with cloud-native technologies like Kubernetes.
• Experience with High-Level Synthesis (HLS).
• Experience with advanced networking technologies (RDMA, DPDK).

THIS IS A LONG TERM CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER.

Client's R&D team is looking for a talented and highly passionate individual to join its product development team and develop world class cloud-based software products and solutions to solve interesting problems in the construction industry. If you are a software developer who is proficient in web-based technologies, possess strong design and coding skills, passionate about critical thinking while solving problems, we would love to hear from you You will be part of an agile team of smart and highly motivated engineers building highly scalable, secure and cloud-based products/services. You will work in a global team and collaborate with local and remote colleagues from various disciplines like business, engineering, operations, support etc. You will work with latest technologies in a flexible environment.

Minimum Qualifications:

• 5+ years of overall experience with good knowledge of data structures, algorithms, object-oriented programming.
• Solid understanding of typical web architecture (data, application, web tiers etc.).
• Proficient in Python based technologies like Conceptual understanding of Web and RESTful APIs.
• Experience in networking related services – like VPC, Subnet etc., in AWS.
• Monitoring tool experience like Splunk / Cloudwatch.
• Ability to work with a team in an Agile environment.

Responsibilities:

• Involved with all aspects of software development.
• Design and develop highly scalable, reliable and fault tolerant systems with minimal guidance.
• Ensure the best possible performance, quality, and responsiveness of the applications.
• Identify bottlenecks and bugs, and devise solutions to these problems.
• Should help maintain code quality, organization, and automation.
• Should have the ability to span to full stack development whenever necessary.
• Write and maintain code with high attention to details, perform peer code-reviews, and participate in technical design discussions.

Build & Release Automation:

• Provide solution to implement Continuous integration & continuous deployment solutions for medium sized project.
• Manage Medium to large sized projects.
• Guide the team to solve build & deployment automation issues.
• Design/Implement release orchestration solutions for medium or large sized projects.
• Participates in the discovery phase of large sized projects to come up with high level design.

Infrastructure Automation:

• Develop playbooks/cookbooks for configuration management for medium to large sized projects.
• Install and optimizing tools on cloud infrastructure.
• Design/Implement solution for infrastructure automation over cloud infrastructure.
• Implement optimized complex networking configurations.
• Implement optimized complex storage setup.
• Develop Terraform script for deploying AWS resources.
• Develop Python script for automating DevOps task.
• Develop shell script for Infrastructure automation .

Must Have Skills:

- AWS Cloud and DevOps.

- Jenkins CI/CD.

- Git.

- Docker containerization and administration.

- Linux administration.

- Python.

Our large, Fortune Technology client is ranked as one of the best companies to work with, in the world. As a global leader in 3D design, engineering, and entertainment software, they foster progressive culture, creativity, and a flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader.

We're looking for a highly skilled and experienced Cloud AI Engineer to join our dynamic team. In this role, you'll be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions leveraging the full suite of Google Cloud Platform (GCP) services.

Objectives of this role

• Lead the end-to-end development cycle of AI applications, from conceptualization and prototyping to deployment and optimization, with a core focus on LLM-driven solutions.
• Architect and implement highly performant and scalable AI services, effectively integrating with GCP's comprehensive AI/ML ecosystem.
• Collaborate closely with product managers, data scientists, and MLOps engineers to translate complex business requirements into tangible, AI-powered features.
• Continuously research and apply the latest advancements in LLM technology, prompt engineering, and AI frameworks to enhance application capabilities and performance.

# Responsibilities

• Develop and deploy production-grade AI applications and microservices primarily using Python and FastAPI, ensuring robust API design, security, and scalability.
• Design and implement end-to-end LLM pipelines, encompassing data ingestion, processing, model inference, and output generation.
• Utilize Google Cloud Platform (GCP) services extensively, including Vertex AI (Generative AI, Model Garden, Workbench), Cloud Functions, Cloud Run, Cloud Storage, and BigQuery, to build, train, and deploy LLMs and AI models.
• Expertly apply prompt engineering techniques and strategies to optimize LLM responses, manage context windows, and reduce hallucinations.
• Implement and manage embeddings and vector stores for efficient information retrieval and Retrieval-Augmented Generation (RAG) patterns.
• Work with advanced LLM orchestration frameworks such as LangChain, LangGraph, Google ADK, and CrewAI to build sophisticated multi-agent systems and complex AI workflows.
• Integrate AI solutions with other enterprise systems and databases, ensuring seamless data flow and interoperability.
• Participate in code reviews, establish best practices for AI application development, and contribute to a culture of technical excellence.
• Keep abreast of the latest advancements in GCP AI/ML services and broader AI/ML technologies, evaluating and recommending new tools and approaches.

# Required skills and qualifications

• Two or more years of hands-on experience as an AI Engineer with a focus on building and deploying AI applications, particularly those involving Large Language Models (LLMs).
• Strong programming proficiency in Python, with significant experience in developing web APIs using FastAPI.
• Demonstrable expertise with Google Cloud Platform (GCP), specifically with services like Vertex AI (Generative AI, AI Platform), Cloud Run/Functions, and Cloud Storage.
• Proven experience in prompt engineering, including advanced techniques like few-shot learning, chain-of-thought prompting, and instruction tuning.
• Practical knowledge and application of embeddings and vector stores for semantic search and RAG architectures.
• Hands-on experience with at least one major LLM orchestration framework (e.g., LangChain, LangGraph, CrewAI).
• Solid understanding of software engineering principles, including API design, data structures, algorithms, and testing methodologies.
• Experience with version control systems (Git) and CI/CD pipelines.

Preferred skills and qualifications

Bachelor's or Master's degree in Computer Science

Good to have:

Experience with MLOps practices for deploying, monitoring, and maintaining AI models in production.

Understanding of distributed computing and data processing technologies.

Contributions to open-source AI projects or a strong portfolio showcasing relevant AI/LLM applications.

Excellent analytical and problem-solving skills with a keen attention to detail.

Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders

We are looking for a Mid-level Cloud Engineer with hands-on expertise in designing, automating, and operating production-grade cloud infrastructure. This role requires a strong background in AWS services, DevOps/DevSecOps practices, Infrastructure as Code, monitoring, and container orchestration. The engineer will be responsible for building resilient, secure, and scalable systems across multi-region environments.

Roles and Responsibilities:

• Design, deploy, and manage infrastructure using a broad set of AWS services including VPC, IAM, RDS, EC2, ECS, S3, Bedrock, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB.
• Operate and scale multi-region, production-facing applications, ensuring high availability, fault tolerance, and DR readiness.
• Implement DevOps & DevSecOps practices with automation-first approaches for deployments, security, compliance, and monitoring.
• Manage Infrastructure as Code (IaC) using Terraform and Ansible.
• Leverage containerization & orchestration tools such as Docker, Docker Compose, and Kubernetes.
• Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
• Build and maintain CI/CD pipelines with GitHub Actions (preferred) or Jenkins.
• Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
• Implement and manage network configurations including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
• Leverage monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions (New Relic, Datadog – nice to have).
• Work with Airflow for workflow orchestration and data pipeline automation.
• Ensure compliance with SOC2 standards and manage cloud DR/backup strategies.
• Collaborate with cross-functional teams, providing technical guidance, troubleshooting, and performance optimization.
• Explore AI-assisted engineering tools (Codex, Cursor, GitHub Copilot) to improve development and automation efficiency.

Required Skills & Qualifications:

• 1-3 years of experience in DevOps, Cloud Engineering, or related fields.
• Proven track record of managing AWS services at scale in production environments.
• Expertise in Terraform, Ansible, and IaC practices.
• Strong Linux administration skills (Ubuntu/Debian preferred).
• Hands-on experience with Docker, Docker Compose, and Kubernetes for container orchestration.
• Proficiency in scripting languages (Python, Bash, Shell).
• Experience with CI/CD pipelines (GitHub Actions preferred).
• Knowledge of networking fundamentals (LAN, WAN, IPv4, IPv6, VPNs, Firewalls).
• Experience operating multi-node Elasticsearch & Kibana clusters.
• Strong problem-solving and troubleshooting abilities.
• Excellent communication and collaboration skills.

Nice to Have:

• Exposure to AI/ML-based productivity tools for DevOps workflows.
• Hands-on experience with APM tools such as New Relic or Sentry.
• Experience managing on-premise rack servers in hybrid environments.