Host360
Company:
https://www.linkedin.com/company/host360i
Seniority: Entry level
Industries: IT Services and IT Consulting
Job details:
đź“ŤHost360 | Platform Engineering Team
For engineers who love understanding how modern infrastructure actually works - not just using it.
Job Title: Platform Engineer – Kubernetes
Company: Host360
Location: Remote
Type: Full Time
Experience: Upto 6 years
CTC: Upto 15 LPA
Role Description
Host360 is seeking exceptional Platform Engineers to join our Platform Engineering team. This is a unique opportunity to shape the future of cloud infrastructure by exploring emerging technologies, validating innovative ideas through hands-on experimentation, and transforming technical concepts into market-ready products.
You will operate at the intersection of engineering excellence, platform architecture, and product innovation. This role is ideal for technologists who thrive on discovery, experimentation, and translating cutting-edge technical possibilities into real-world solutions that drive business value.
##WHAT YOU'LL DO
1. Technology Discovery & Innovation
- Research and evaluate emerging technologies across cloud infrastructure, Kubernetes ecosystem, storage, networking, virtualization, DevOps, and SRE tooling
- Track industry trends, open-source innovations, and hyperscaler advancements to identify opportunities for competitive differentiation
- Assess technologies for scalability, security, cost-efficiency, and operational impact before recommending adoption
- Stay ahead of the curve on cloud-native architectures, automation frameworks, and infrastructure-as-code best practices
- Design, deploy, and manage GPU-enabled Kubernetes platforms while ensuring high availability, performance optimization, and operational excellence for AI/ML workloads.
- Research, evaluate, and prototype new cloud-native, AI infrastructure, and Kubernetes ecosystem products and technologies, providing recommendations for platform adoption.
- Create Product Requirement Documents (PRDs), architecture proposals, and technical documentation in Confluence, and drive execution by tracking implementation through Jira.
2. Proof of Concept (POC) Development & Prototyping
- Design and implement rapid POCs to validate new ideas and technical hypotheses
- Build reference architectures, experimental labs, and prototype environments
- Benchmark performance, reliability, cost, and operational complexity
- Identify technical risks, limitations, and operational considerations early in the innovation cycle
- Document findings with detailed analysis, trade-offs, and actionable recommendations
3. Product Ideation & Requirements Definition
- Convert validated technical concepts into structured product ideas
- Define target users, customer use cases, and clear value propositions
- Create comprehensive Product Requirement Documents (PRDs) including problem statements, objectives, functional/non-functional requirements, architecture overviews, security considerations, and dependency mapping
- Translate technical innovation into business outcomes and customer benefits
- Develop go-to-market readiness documentation for new platform capabilities
4. Cloud Infrastructure Management & Operations
- Monitor cloud infrastructure for availability, performance, and operational health across multi-cloud environments
- Perform proactive capacity planning to support scalability and business growth objectives
- Provision, configure, and manage cloud compute resources with a focus on automation and repeatability
- Administer cloud storage systems ensuring performance, redundancy, and cost efficiency
- Manage virtual networking components including VPCs/VNets, subnets, routing tables, load balancers, and gateways
- Implement and maintain cloud-native monitoring, alerting, and observability tools
- Optimize resource utilization to control cloud spend and eliminate waste through FinOps best practices
- Support backup, disaster recovery, and business continuity solutions for cloud workloads
- Conduct routine infrastructure health checks and preventive maintenance
- Troubleshoot infrastructure-related alerts, service disruptions, and performance degradation
- Maintain comprehensive documentation of cloud architecture, configurations, and resource inventory
- Provide incident support and root cause analysis for cloud infrastructure issues
- Collaborate with security teams to identify and remediate cloud infrastructure vulnerabilities
- Design, deploy, and manage production-grade Kubernetes clusters optimized for GPU workloads, including NVIDIA GPU Operators, device plugins, drivers, and CUDA runtimes.
- Configure and optimize GPU scheduling, Nvidia device plugin, GPU operator, resource allocation (including MIG), autoscaling, monitoring, and high availability to maximize cluster performance and utilization.
- Troubleshoot Kubernetes, GPU, networking, and storage issues while automating cluster lifecycle management using Infrastructure as Code (Terraform/Ansible) and GitOps practices.
5. Cross-Functional Collaboration & Enablement
- Partner with Platform Engineering, Infrastructure Engineering, Security, Compliance, Customer Success, and Pre-Sales teams
- Support internal knowledge sharing through technical workshops, lunch-and-learns, and documentation
- Provide technical input during go-to-market planning and customer-facing engagements
- Act as a technical advisor and subject matter expert for emerging cloud technologies
6. Documentation & Thought Leadership
- Create technical documentation, architecture decision records (ADRs), design notes, and internal proposals
- Maintain up-to-date architecture diagrams, system designs, and technology evaluation frameworks
- Present findings, recommendations, and technology roadmaps to leadership and stakeholders
- Contribute to technical blogs, whitepapers, or open-source projects (encouraged)
##WHAT WE'RE LOOKING FOR
1. Technical Excellence (Good to have)
- Cloud Platform Expertise: Hands-on experience with AWS, Azure, GCP, or private cloud platforms (OpenStack, VMware, Nutanix)
- Infrastructure Fundamentals: Deep understanding of virtualization, bare-metal infrastructure, Kubernetes, container orchestration, networking (VPCs, routing, load balancing), and storage systems (block, object, distributed)
- Automation & IaC: Proficiency with infrastructure-as-code tools (Terraform, Ansible, CloudFormation)
- Experimental Mindset: Proven track record of building POCs, labs, test environments, and experimental architectures
- Cloud-Native Ecosystem: Experience with CNCF projects (Kubernetes, Prometheus, Helm, Istio, Argo, etc.)
2. AI/ML Skills (Good to have)
- Foundational understanding of AI/ML concepts including NLP, LLMs, prompt engineering, RAG, intent detection, Agentic AI, and feature engineering.
- Familiarity with ML lifecycle practices such as Basic ML, data pipelines, Intent detection, CI/CD for ML, model monitoring, drift detection, and performance metrics.
3. Product & Architecture Thinking
- Ability to translate complex technical concepts into structured product requirements and customer value propositions
- Experience writing or contributing to PRDs, design documents, RFCs, or technical specifications
- Strong system design and architectural thinking with focus on scalability, reliability, and security
- Understanding of security principles, compliance frameworks, and operational best practices
- Ability to evaluate trade-offs between innovation, risk, cost, and time-to-market
4. Professional Skills
- Curiosity & Initiative: Self-driven learner with genuine passion for emerging technologies and continuous improvement
- Communication: Exceptional written and verbal communication skills; ability to explain complex technical concepts to non-technical stakeholders
- Independence: Comfortable working autonomously with minimal supervision; proactive problem-solver
- Influence & Collaboration: Ability to influence without direct authority and build consensus across teams
- Pragmatism: Balance innovation with practical delivery; understand when 'good enough' beats 'perfect'
This role is designed as a Product Engineering track.
#Successful candidates will grow into:
- Platform Product Managers
- Product Engineers
- Principal Product roles over time
If you’re looking for a role where thinking matters more than titles, we want to talk.
#How We Evaluate You
- How you think, not where you worked
- How you write, not what tools you list
- How you reason through complexity
đź“© Apply only if you enjoy deep products and hard problems.
Click on Apply to know more.