2+ years of hands-on experience as a Cloud Engineer Experience monitoring a 24/7 SaaS with IP management proper understanding. Basic Scripting experience to troubleshoot. Deep understanding of manual data analysis, reporting. Deep understanding of monitoring tools to troubleshoot and find root cause, experience with Datadog. Good knowledge of at least one operating system: Linux, Unix, Solaris, Ubuntu, Windows. Preference is any LINUX flavored operating system (eg: Ubuntu or Red Hat).. Basic understanding of networking: TCP/IP, IP addresses, HTTP, DNS, VPN. Especially cloud networking. Good understanding of container technology (Docker) and Container orchestration technology (Kubernetes) to do basic troubleshooting. Experience in Debugging production level disruptions using traces, metrics and dumps. Good hands-on experience in Incident and problem management process and tools around it like Jira, Mattermost, Confluence etc. Very good communication skills Requirements What we are looking for : Monitor APM and infra for the whole system in a 24/7 model. Develop automation to generate reports. Provide first level analysis using debugging traces and dumps present in APM tools like datadog Monitor quality of IP with proper guidance and work in collaboration of DevOps teams Prepare and present reports around performance metrics. Lead meetings for Incident and problem management Analyse historical data and provide insight to do problem clustering.

8+ years of hands-on experience as a DevOps & Cloud A person who has experience in assisting/helping to architect, design and develop Cloud & DevOps practices on one or more cloud platforms (AWS, Azure, GCP) Must be an expert in implementing CI & CD pipeline with various DevOps tool sets. Should be able to evaluate, implement, and streamline the DevOps practices for the clients thereby speeding up the software development and deployment process Hands-on experience with CI & CD tools(like Jenkins, SonarQube, Artifactory/Nexus), Source Control (like Git- Bitbucket, Github, Gitlab/SVN etc.). Experience in creating continuous delivery practices by using Terraform/ARM Templates/Cloud Formation. Must possess excellent knowledge of infrastructure configuration & automation tools (like Ansible) in both development and production environments Should possess the experience in designing & building applications using container & serverless technologies. Kubernetes expertise is a must have and knowledge on Service Mesh, Tracing, Helm Charts etc would be an added advantage. Must have strong expertise in operating Linux environments and scripting languages like Shell. Good presentation and communications skills. Be willing to be challenged and learn new skills. Finally, and most importantly to lead and grow your team by example

Job Information Number of Positions 1 Industry IT Services Date Opened 06/03/2025 Job Type Permanent Work Experience 1-3 years Required Skills lead generation Database generation +2 City Bangalore State/Province Karnataka Country India Zip/Postal Code 560066 Location Bangalore About Us CloudifyOps is a company with DevOps and Cloud in our DNA. CloudifyOps enables businesses to become more agile and innovative through a comprehensive portfolio of services that addresses hybrid IT transformation, Cloud transformation, and end-to-end DevOps Workflows. We are a proud Advance Partner of Amazon Web Services and have deep expertise in Microsoft Azure and Google Cloud Platform solutions. We are passionate about what we do. The novelty and the excitement of helping our customers accomplish their goals drives us to become excellent at what we do. Job Description About the role: You must be a passionate individual with Sales experience in Cloud Platforms, DevOps technologies. You will be working alongside a technically competent team that services enterprises and startups for their Cloud & DevOps requirements. What you will do : Lead Generation: Identify and source new sales opportunities through outbound calls, inbound lead follow-up, and emails. Develop sales opportunities by researching and identifying potential customers Perform necessary research on prospect companies, contacts as much context as necessary to have a targeted conversation Coordination of sales process in lead generation and lead qualification Responsible for prospecting and qualifying new sale opportunities through outbound cold calling Responsible for generating and researching their own leads that they will use to prospect , new clients Customer Acquisition: Convert inquiries into customers on call Revenue Generation: Create sales of services with the goal of creating income and enhancing revenue generation for CloudifyOps, responsible for building sales pipeline for meeting and exceeding targets. Requirements Requirements: Requirements Desired Skill sets: 1-3 years experience and 1-2 years relevant experience of IT sales. Basic Knowledge of Cloud Services and Cloud Managed Services (AWS is preferable). Self - motivated with the ability to work in a fast moving environment. Candidates should have experience in end to end Sales life cycle. International calls with clients, Cold Calling, Client Coordination experience is a must. Excellent verbal and written communications skills Strong listening and presentation skills. Benefits Equal opportunity employer: CloudifyOps is proud to be an equal opportunity employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category.

Y ou must be a passionate individual with Sales/PreSales experience in Cloud Platforms, DevOps technologies. You will be working alongside a technically competent team that services enterprises and startups for their Cloud & DevOps requirements. A strong technical background is required. This can be acquired through education or hands-on work as well as a great business understanding of b oth sides of the table. What you will do: Assisting with the complete sales process: Identify, Qualify, Sell deals working closely with a larger sales team. Lead Generation: Identify and source new sales opportunities through outbound calls, inbound lead follow-up, and emails. Develop sales opportunities by researching and identifying potential customers; engaging with new partners in the geography. Perform necessary research on prospect companies, contacts as much context as necessary to have a targeted conversation Coordination of end to end sales process from lead generation, lead qualification Responsible for prospecting and qualifying new sale opportunities through outbound cold calling Responsible for generating and researching your own leads that will be used to prospect , new clients Customer Acquisition: Convert enquiries into customers on call Work with engineering team to translate customer requirements into technical proposal and present the same to the customer Manage sales leads and prospects into CRM in a timely manner Complete contract paperwork and manage renewals of contracts Revenue Generation: Create sales of services with the goal of creating income and enhancing revenue generation for CloudifyOps , responsible for building sales pipeline for meeting and exceeding targets. Reporting: Monitor active deals, forecast revenue, and track conversion rates Ensure timely follow-ups and track client interactions. Maintain accurate CRM and internal records. Assess individual and team performance against targets. Track competitors and industry trends to refine strategies. Requirements: Requirements Desired Skill sets: 2-4 years experience Basic Knowledge of Cloud Services and Cloud Managed Services (AWS is preferable) . Self - motivated with the ability to work in a fast moving environment . Candidates should have experience in end to end Sales lifecycle. International calls with clients, Cold Calling, Client Coordination experience is a must. Excellent verbal and written communications skills Strong listening and presentation skills .

Y ou must be a passionate individual with Sales experience in Cloud Platforms, DevOps technologies. You will be working alongside a technically competent team that services enterprises and startups for their Cloud & DevOps requirements. What you will do : Lead Generation: Identify and source new sales opportunities through outbound calls, inbound lead follow-up, and emails. Develop sales opportunities by researching and identifying potential customers Perform necessary research on prospect companies, contacts as much context as necessary to have a targeted conversation Coordination of sales process in lead generation and lead qualification Responsible for prospecting and qualifying new sale opportunities through outbound cold calling Responsible for generating and researching their own leads that they will use to prospect , new clients Customer Acquisition: Convert inquiries into customers on call Revenue Generation: Create sales of services with the goal of creating income and enhancing revenue generation for CloudifyOps , responsible for building sales pipeline for meeting and exceeding targets. Requirements Requirements: Requirements Desired Skill sets: 1-3 years experience and 1-2 years relevant experience of IT sales. Basic Knowledge of Cloud Services and Cloud Managed Services (AWS is preferable) . Self - motivated with the ability to work in a fast moving environment . Candidates should have experience in end to end Sales life cycle. International calls with clients, Cold Calling, Client Coordination experience is a must. Excellent verbal and written communications skills Strong listening and presentation skills . \u200b

Job Information Number of Positions 1 Industry Engineering Date Opened 06/09/2025 Job Type Permanent Work Experience 2-3 years City Bangalore State/Province Karnataka Country India Zip/Postal Code 560037 Location Bangalore About Us CloudifyOps is a company with DevOps and Cloud in our DNA. CloudifyOps enables businesses to become more agile and innovative through a comprehensive portfolio of services that addresses hybrid IT transformation, Cloud transformation, and end-to-end DevOps Workflows. We are a proud Advance Partner of Amazon Web Services and have deep expertise in Microsoft Azure and Google Cloud Platform solutions. We are passionate about what we do. The novelty and the excitement of helping our customers accomplish their goals drives us to become excellent at what we do. Job Description Culture at CloudifyOps : Working at CloudifyOps is a rewarding experience! Great people, a work environment that thrives on creativity, and the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. About the Role: We are seeking a proactive and technically skilled AI/ML Engineer with 2–3 years of experience to join our growing technology team. The ideal candidate will have hands-on expertise in AWS-based machine learning, Agentic AI, and Generative AI tools, especially within the Amazon AI ecosystem. You will play a key role in building intelligent, scalable solutions that address complex business challenges. Key Responsibilities: 1. AWS-Based Machine Learning Develop, train, and fine-tune ML models on AWS SageMaker, Bedrock, and EC2. Implement serverless ML workflows using Lambda, Step Functions, and EventBridge. Optimize models for cost/performance using AWS Inferentia/Trainium. 2. MLOps & Productionization Build CI/CD pipelines for ML using AWS SageMaker Pipelines, MLflow, or Kubeflow. Containerize models with Docker and deploy via AWS EKS/ECS/Fargate. Monitor models in production using AWS CloudWatch, SageMaker Model Monitor. 3. Agentic AI Development Design autonomous agent systems (e.g., AutoGPT, BabyAGI) for task automation. Integrate multi-agent frameworks (LangChain, AutoGen) with AWS services. Implement RAG (Retrieval-Augmented Generation) for agent knowledge enhancement. 4. Generative AI & LLMs Fine-tune and deploy LLMs (GPT-4, Claude, Llama 2/3) using LoRA/QLoRA. Build Generative AI apps (chatbots, content generators) with LangChain, LlamaIndex. Optimize prompts and evaluate LLM performance using AWS Bedrock/Amazon Titan. 5. Collaboration & Innovation Work with cross-functional teams to translate business needs into AI solutions. Collaborate with DevOps and Cloud Engineering teams to develop scalable, production-ready AI systems. Stay updated with cutting-edge AI research (arXiv, NeurIPS, ICML). 5. Governance & Documentation Implement model governance frameworks to ensure ethical AI/ML deployments. Design reproducible ML pipelines following MLOps best practices (versioning, testing, monitoring). Maintain detailed documentation for models, APIs, and workflows (Markdown, Sphinx, ReadTheDocs). Create runbooks for model deployment, troubleshooting, and scaling. Technical Skills Programming: Python (PyTorch, TensorFlow, Hugging Face Transformers). AWS: SageMaker, Lambda, ECS/EKS, Bedrock, S3, IAM. MLOps: MLflow, Kubeflow, Docker, GitHub Actions/GitLab CI. Generative AI: Prompt engineering, LLM fine-tuning, RAG, LangChain. Agentic AI: AutoGPT, BabyAGI, multi-agent orchestration. Data Engineering: SQL, PySpark, AWS Glue/EMR. Soft Skills Strong problem-solving and analytical thinking. Ability to explain complex AI concepts to non-technical stakeholders. What We’re Looking For Bachelor’s/Master’s in CS, AI, Data Science, or related field. 2-3 years of industry experience in AI/ML engineering. Portfolio of deployed ML/AI projects (GitHub, blog, case studies). Good to have an AWS Certified Machine Learning Specialty certification. Why Join Us? Innovative Projects: Work on cutting-edge AI applications that push the boundaries of technology. Collaborative Environment: Join a team of passionate engineers and researchers committed to excellence. Career Growth: Opportunities for professional development and advancement in the rapidly evolving field of AI. Equal opportunity employer CloudifyOps is proud to be an equal opportunity employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, color, sex, religion, national origin, disability, pregnancy, marital status, sexual orientation, gender reassignment, veteran status, or other protected category.

We are looking for AWS DevOps Engineers who will be able exhibit their technology skills & influence team members to increase the overall productivity & effectiveness by sharing your in-depth knowledge on Cloud & DevOps. You will be leading and contributing to the define the industry standard best practices of Cloud & DevOps to the team to follow. This would be an outstanding opportunity for you to apply and enhance your both technical and people management skills, thereby adding value to the business and operations of CloudifyOps What will you do : Own the quality of Cloud and DevOps architecture, design, and delivery of the client engagement You would be designing the automation of the Cloud & DevOps operations/process with proper tools. Advise on implementing Cloud & DevOps best practices and provide architectural and design support to the team. Functionally split the complex issues or problems into much simpler and straightforward solutions for the engineers in the team to execute. To assist in the technical and design meetings with clients to help them in adoption of Cloud & DevOps tools and technologies practices. Take ownership of the end-to-end development & implementation quality of the team by managing dependencies and focusing on technology best practices. What we are looking for : 4+ years of hands-on experience as a DevOps & Cloud A person who has experience in assisting/helping to architect, design and develop Cloud & DevOps practices on AWS cloud platform Must be an expert in implementing CI & CD pipeline with various DevOps tool sets. Should be able to evaluate, implement, and streamline the DevOps practices for the clients thereby speeding up the software development and deployment process Hands-on experience with CI & CD tools(like Jenkins, SonarQube, Artifactory/Nexus), Source Control (like Git- Bitbucket, Github, Gitlab/SVN etc.) Experience in creating continuous delivery practices by using Terraform/ARM Templates/Cloud Formation. Must possess excellent knowledge of infrastructure configuration & automation tools (like Ansible) in both development and production environments Should possess the experience in designing & building applications using container & serverless technologies. Kubernetes expertise is a must have and knowledge on Service Mesh, Tracing, Helm Charts etc would be an added advantage. Must have strong expertise in operating Linux environments and scripting languages like Shell. Good presentation and communications skills. Be willing to be challenged and learn new skills. Finally, and most importantly to lead and grow your team by example