3 Cloud Engineers Jobs

As a Cloud Solution Architect at McCain Foods(India) P Ltd in Gurgaon, you will play a crucial role in driving the success of the IT Architecture program. Your primary responsibilities will involve utilizing your design expertise and consultative approach to collaborate with stakeholders, understand their technical requirements, and design and document tailored solutions. Your deep experience in defining Infrastructure solutions including Design, Architecture, and Solution Building blocks will be instrumental in accurately sizing work efforts and determining the necessary skills and resources for projects. In this role, you will serve as a Cloud Infrastructure Architect, working closely with various teams such as product teams, platform teams, and application teams to facilitate the successful adoption of cloud infrastructure and platform services. Your involvement in design and implementation activities will contribute to the development of new or improved cloud-related capabilities. It will be essential for you to bring your skills and expertise in areas such as cloud technical architecture, automating cloud management tasks, provisioning, configuration management, and other aspects related to optimizing cloud solutions. Your success as a cloud infrastructure architect will be measured by your ability to embrace infrastructure-as-code (IaC), DevOps, Agile ways of working, and automation approaches. You will collaborate with customer teams and work on cloud infrastructure platform capabilities that span multiple teams. Strong communication, time management, and process skills will be crucial, as you will work closely with other architects, product/platform teams, software developers, Cloud Engineers, site reliability engineers (SREs), security, and network specialists. Key responsibilities of your role will include providing expert knowledge on cloud infrastructure and platforms solutions architecture, defining cloud infrastructure landing zones, regional subscriptions, and Availability Zone, working on cloud migration projects, designing, building, delivering, and maintaining infrastructure solutions, researching and prototyping new tools and technologies, improving reliability, scalability, and efficiency, and actively participating in planning and optimization activities. Your role will also involve establishing FinOps Practices such as Cloud Cost management, Scale up/down, and Environment creation/deletion based on consumption, working closely with security specialists to design and implement security controls, and ensuring that engineering activities align with security configuration guidance. McCain Foods is committed to maintaining a diverse, antiracist, inclusive, merit-based, and equitable workplace. As an equal opportunity employer, McCain values diversity and recognizes that it drives creativity, resilience, and success. If you require any accommodations during the recruitment process, McCain is an accessible employer and is willing to work with you to meet your needs. Your privacy is important, and any personal data or information submitted will be handled in accordance with the Global Employee Privacy Policy.,

As a Cloud Engineer at our company, you will be responsible for ensuring that the Google Cloud Platform (GCP) is reliable, scalable, and secure. Your duties will include staying updated on the latest GCP technologies and trends, as well as developing and mentoring Cloud engineers and operators. You will play a key role in designing and implementing GCP services availability and performance monitoring. Monitoring the health, performance, capacity, and usage of GCP resources will be crucial in ensuring adherence to established Service Level Agreements (SLAs). Additionally, you will be expected to implement cost reduction techniques, such as rightsizing, reserved instances, spot instances, and auto-scaling, to optimize cloud spend. Providing day-to-day support for GCP services will be part of your routine, including incident management, vendor cases, GCP configurations, backup/restore, and network connectivity. You will be responsible for provisioning GCP projects and services based on approved architecture designs and patterns, as well as supporting FinOps planning, budgeting, and forecasting. To excel in this role, we recommend obtaining certifications such as Professional Cloud Architect and Professional Networking Engineer. Join our team and be part of our innovative GCP environment where you can make a real difference!,

Looking for a highly motivated and self-driven AI Experienced Leader to head the AI and Gen AI practice and solution with the objective of designing and implementing AI and Gen AI based solutions for customers" business problems. As an AI Solution Consultant, you will be responsible for understanding customer needs and proposing AI and Gen AI empowered practical in-depth solutions for solving business problems. Additionally, as an AI Practice Head, you will be required to research industry evolution in AI and Gen AI areas to identify practical differentiating solutions for solving business problems through AI and Gen AI. In the role of AI Solution Architect, you will define the architecture, design the solutions, and implement AI and Gen AI based solutions for customer programs. You will also be expected to inspire, mentor, and build a strong Data Scientist practice & delivery team to execute complex AI and Gen AI programs for various customers. Conducting architecture reviews, design workshops, and code reviews in collaboration with AI Data Scientists and Cloud Engineers will be part of your responsibilities. Furthermore, applying statistics, modeling, and machine learning to enhance the efficiency of systems and relevance algorithms across our business application products. Requirements: - Bachelor's degree or Master's degree in Computer Science / AIML / Data Sciences - 10+ years of overall experience with hands-on experience in designing and implementing Machine Learning models, Deep Learning models for solving business problems - Expertise in R, Python (NumPy, Scikit-learn + Pandas), TensorFlow, PyTorch or MLlib and LLM solutions - Excellent problem-solving and analytical skills with the ability to translate business requirements into data science solutions - Good experience in building complex and scalable Machine Learning solutions and practically using them in production - Experience with scripting in SQL for extracting large datasets and designing ETL flows - Deep interest and aptitude in data, metrics, analysis, trends, and applied knowledge of measurement, statistics, and program evaluation - Capability of translating analysis results into business recommendations - Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.,