Kubernetes
Amazon Web Services (AWS)
PythonAbout 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Gruve
About
Gruve was founded on the premise that new technologies in Machine Learning, Data Sciences, Artificial Intelligence, and Software Development are transforming Enterprise Services. Our goal is to harness these advancements to deliver services with superior efficiency and tangible outcomes.
Our Team
Our team is built with a strong background in Software and Services, united by a shared sense of Purpose: to achieve the best outcomes for our clients. We value all our stakeholders, recognizing that People are our most important assets. We adopt a Process framework that ensures the delivery of high-quality results every time.
What Sets Us Apart
Our differentiation is straightforward: we genuinely care, we innovate, we disrupt, and we work hard.
Our Core Values:
Customer Success: Putting customers first.
Positive Feedback Loop: Embracing continuous improvement.
Pursuit & Persevere: Staying resilient and ambitious.
Integrity and Ethics: Acting with honesty and ethics.
Team & Trust: Collaborating with trust and respect.
Giving Back: Committing to community and responsibility.
Gruve is Norwegian for "To Mine or Mining Activity"
Company social profiles
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*******************
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***********************
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon