
Role & Responsibilities
We are seeking a seasoned Solution Architect to design and lead AI infrastructure and private cloud initiatives. This role focuses on building scalable, high-performance environments to support AI/ML workloads, data platforms, and enterprise applications. The ideal candidate will have deep expertise in private cloud architectures, GPU-based computing, and modern data center technologies, along with the ability to align infrastructure strategy with business and AI innovation goals.
Key Responsibilities-
- Architect and design AI-ready infrastructure platforms, including GPU clusters, high-performance computing (HPC), and storage systems
- Define and implement private cloud solutions using technologies such as OpenStack and VMware
- Design scalable environments for AI/ML workloads, including training and inference pipelines
- Collaborate with data scientists, platform engineers, and infrastructure teams to translate AI requirements into infrastructure solutions
- Drive infrastructure modernization initiatives, including containerization and orchestration using Kubernetes
- Ensure high availability, performance, scalability, and security of AI platforms
- Design storage solutions optimized for AI workloads (e.g., distributed file systems, object storage)
- Implement networking architectures for high-throughput, low-latency data transfer
- Define automation strategies using Infrastructure as Code (IaC) and configuration management tools
- Establish governance, standards, and best practices for AI infrastructure and private cloud environments
- Evaluate emerging technologies and recommend solutions aligned with enterprise strategy
- Provide technical leadership and guidance across architecture, design, and implementation phases
Ideal Candidate
- Strong Solution Architect – AI Infrastructure & Private Cloud profiles
- Mandatory (Experience 1) – Must have 8+years of experience in IT infrastructure, cloud, or data center architecture roles
- Mandatory (Experience 2) – Must have strong expertise in private cloud and virtualization (OpenStack, VMware vSphere) along with solid knowledge of Linux, networking, and storage architectures.
- Mandatory (Experience 3) – Must have hands-on experience designing AI/ML infrastructure, including GPU-based systems (e.g., NVIDIA platforms), HPC, and AI-optimized storage
- Mandatory (Experience 4) – Must have strong experience with containerization and orchestration (Docker, Kubernetes) and IaC/automation tools (Terraform, Ansible)
- Mandatory (Experience 5) – Must have experience designing scalable AI/ML environments for training/inference pipelines, with high-throughput, low-latency networking and distributed storage
- Mandatory (Experience 6) – Must have familiarity with hybrid cloud integration (AWS, Azure, or GCP) and proven ability to lead architecture design with strong stakeholder management.
- Mandatory (Skill) – Must have familiarity with hybrid cloud integration involving AWS, Azure, or GCP.
- Preferred (Skill 1) – Certifications in cloud (AWS/Azure/GCP), Kubernetes, or VMware/OpenStack, along with experience in MLOps platforms and AI lifecycle management
- Preferred (Skill 2) – Knowledge of high-performance networking (InfiniBand, RDMA) and exposure to data lake architectures and big data platforms
- Preferred (Skill 3) – Experience in large-scale enterprise or hyperscale environments.

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Experience: 4+ Years
Location: Bangalore, India
Elocity is a clean tech start-up striving to make the world a better place through technology innovations. We are
building a global infrastructure for making the transition to electric vehicles viable, affordable, and sustainable by
working closely with the utilities, governments, and public.
Head quartered out of Canada, we are a team of highly specialised domain experts and problem solvers enabling
utilities, public and private sector entities to successfully manage the demands of electric vehicle charging and its
infrastructure needs to pave the way for electro mobility in future.
To know more visit https://elocitytech.com/
Job Description
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Type, Location
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Desired Experience
3+ years
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Bonus if you…
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- Contributions to open-source projects
Who are you?
- Passionate about making an impact
- Self-driven & eager to learn new technologies
- Intellectually curious, interested to build complex systems
- Thrive in a highly independent, remote-first environment
- Keen to work with a globally diverse team
What you can expect from us
- Hybrid Work Option - Step out when you “want to” not when you “have to”
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- Reimbursements for medical support
- Career ladder: the freedom to design your own path
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>> Qualification
- Tech /B.E. / MCA /M. Tech from a reputed institute.
Experience of Data Management, Data Modelling, Ingestion for more than 4 years. Total experience of 8-10 Years
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**APIs making integration
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Backend Developer
Key Programming Skills
- NET Core /MVC
- Web API Framework
- Windows Azure PaaS
Job Description
Are you looking to make a real difference in Zibew’s Mission to empower pharmacy chains, hospitals, and healthcare institutions with innovative software that significantly improves patient experience? Do you want to work on cutting edge cloud technologies and build highly scalable software?
Zibew, a Singapore based Start-up, with Engineering headquarters in Hyderabad, India is looking for talented individuals to contribute to the next generation of our products, which incorporate features such as Artificial Intelligence and Natural Language Processing. Zibew has a customer base in ASEAN countries and now looking to onboard customers in the AMERICAS region. We are a fun team that likes to get things done (we ship as frequently as every week!), where engineers are empowered to innovate. If you are an engineer who has a keen eye for scale, performance, and reliability, this is a great opportunity for you.
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- As a Backend Developer, you would be working on building the core platform of our products such as the Online Pharmacy Platform.
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- As a Backend Developer, you would be working alongside our Data Sciences Team and Product Managers to build cutting edge Artificial Intelligence-based systems for healthcare
Qualifications
- Minimum of 2 years of experience in C# Programming
- Should have experience in ASP.NET Core and Web APIs
- Must have proven positive attitude towards taking challenges
- Experience in AI technologies such as TensorFlow, Deep Learning is preferred but not mandatory.
- Must have proven the ability to learn fast and deliver results under pressure.
Work Culture at Zibew
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