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KubernetesAbout the Company:
Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Why Gruve:
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Position summary:
We are looking for a Senior Software Development Engineer with 5-8 years of experience specializing in infrastructure deployment automation and VMware workload migration. The ideal candidate will have expertise in Infrastructure-as-Code (IaC), VMware vSphere, vMotion, HCX, Terraform, Kubernetes, and AI POD managed services. You will be responsible for automating infrastructure provisioning, migrating workloads from VMware environments to cloud and hybrid infrastructures, and optimizing AI/ML deployments.
Key Roles & Responsibilities
- Automate infrastructure deployment using Terraform, Ansible, and Helm for VMware and cloud environments.
- Develop and implement VMware workload migration strategies, including vMotion, HCX, SRM (Site Recovery Manager), and lift-and-shift migrations.
- Migrate VMware-based workloads to public cloud (AWS, Azure, GCP) or hybrid cloud environments.
- Optimize and manage AI POD workloads on VMware and Kubernetes-based environments.
- Leverage VMware HCX for live and bulk workload migrations, ensuring minimal downtime and optimal performance.
- Automate virtual machine provisioning and lifecycle management using VMware vSphere APIs, PowerCLI, or vRealize Automation.
- Integrate VMware workloads with Kubernetes for containerized AI/ML workflows.
- Ensure workload high availability and disaster recovery post-migration using VMware SRM, vSAN, and backup strategies.
- Monitor and troubleshoot migration performance using vRealize Operations, Prometheus, Grafana, and ELK.
- Develop and optimize CI/CD pipelines to automate workload migration, deployment, and validation.
- Ensure security and compliance for workloads before, during, and after migration.
- Collaborate with cloud architects to design hybrid cloud solutions supporting AI/ML workloads.
Basic Qualifications
- 5–8 years of experience in infrastructure automation, VMware workload migration, and cloud integration.
- Expertise in VMware vSphere, ESXi, vMotion, HCX, SRM, vSAN, and NSX-T.
- Hands-on experience with workload migration tools such as VMware HCX, CloudEndure, AWS Application Migration Service, and Azure Migrate.
- Proficiency in Infrastructure-as-Code using Terraform, Ansible, PowerCLI, and vRealize Automation.
- Strong experience with Kubernetes (EKS, AKS, GKE) and containerized AI/ML workloads.
- Experience in public cloud migration (AWS, Azure, GCP) for VMware-based workloads.
- Hands-on knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, ArgoCD, and Tekton.
- Strong scripting and automation skills in Python, Bash, or PowerShell.
- Familiarity with disaster recovery, backup, and business continuity planning in VMware environments.
- Experience in performance tuning and troubleshooting for VMware-based workloads.
Preferred Qualifications
- Experience with NVIDIA GPU orchestration (e.g., KubeFlow, Triton, RAPIDS).
- Familiarity with Packer for automated VM image creation.
- Exposure to Edge AI deployments, federated learning, and AI inferencing at scale.
- Contributions to open-source infrastructure automation projects.
DockerKubernetes● Research, propose and evaluate with a 5-year vision, the architecture, design, technologies,
processes and profiles related to Telco Cloud.
● Participate in the creation of a realistic technical-strategic roadmap of the network to transform
it to Telco Cloud and be prepared for 5G.
● Using your deep technical expertise, you will provide detailed feedback to Product Management
and Engineering, as well as contribute directly to the platform code base to enhance both the
Customer experience of the service, as well as the SRE quality of life.
● The individual must be aware of trends in network infrastructure as well as within the network
engineering and OSS community. What technologies are being developed or launched?
● The individual should stay current with infrastructure trends in the telco network cloud domain.
● Be responsible for the Engineering of Lab and Production Telco Cloud environments, including
patches, upgrades, and reliability and performance improvements.
Required Minimum Qualifications: (Education and Technical Skills/Knowledge)
● Software Engineering degree, MS in Computer Science or equivalent experience
● Years of experiences as an SRE, DevOps, Development and/or Support related role
● 0-5 years of professional experience for a junior position
● At least 8 years of professional experience for a senior position
● Unix server administration and tuning : Linux / RedHat / CentOS / Ubuntu
● You have deep knowledge in Networking Layers 1-4
● Cloud / Virtualization (at least two): Helm, Docker, Kubernetes, AWS, Azure, Google Cloud,
OpenStack, OpenShift, VMware vSphere / Tanzu
● You have in-depth knowledge of cloud storage solutions on top of AWS, GCP, Azure and/or
on-prem private cloud, such as Ceph, CephFS, GlusterFS
● DevOps: Jenkins, Git, Azure DevOps, Ansible, Terraform
● Backend Knowledge Bash, Python, Go (other knowledge of Scripting Language is a plus).
● PaaS Level solutions such as Keycloak for IAM, Prometheus, Grafana, ELK, DBaaS (such as MySQL,
Cassandra)
About the Organisation:
The team at Coredge.io is a combination of experienced and young professionals alike having
many years of experience in working with Edge computing, Telecom application development
and Kubernetes. The company has continuously collaborated with the open source community,
universities and major industry players in furthering its goal of providing the industry with an
indispensable tool to offer improved services to its customers. Coredge.io has a global market
presence with its offices in US and New Delhi, India.
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