---
title: 'Senior Security Consultant (Red Hat) at Gruve'
canonical: 'https://feeny.ai/job/senior-security-consultant-red-hat-gruve-pune-jgphm1f0vf12'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Security Consultant (Red Hat) at Gruve

- **Company:** Gruve
- **Location:** Pune, India
- **Posted:** 2026-03-02
- **Last confirmed live:** 2026-09-09
- **Apply:** https://gruve.ai/careers/?gh_jid=5135526008

## Job description

## About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). 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.

Position Summary:

We are seeking a highly experienced Senior AI Cloud & Security (Multi-Cloud) to serve as the Architectural Deployment Lead for our high-stakes AI Professional Services delivery. The role involves leading the end-to-end deployment strategy for complex AI stacks across Multi-Cloud (AWS, GCP), Hybrid, and strictly On-Prem environments. You will act as the Security & Compliance Authority, enforcing hardening standards, Zero-Trust network access, and global compliance frameworks (GDPR, HIPAA, SOC2) for our AI deliveries. As a technical leader, you will bridge the gap between AI development and customer environment integration, overseeing critical implementations such as AI SOC, OpenShift AI, and Cybersecurity AI Agents.

Key Responsibilities:

- Architectural Leadership: Lead the deployment strategy and execution for Enterprise AI Infrastructure, including AI SOC, OpenShift AI, and AI-based Cybersecurity Log Optimization services.
- Security & Compliance: Define and enforce security hardening standards and Zero-Trust architectures for all AI deliveries, ensuring full compliance with GDPR, HIPAA, and SOC2 frameworks.
- Process Automation: Develop standardized deployment blueprints and "Infrastructure as Code" (IaC) templates to ensure repeatable, error-free customer rollouts and minimize manual intervention.
- Complex Implementation: Manage complex tenant isolation, Software Defined Networking (SDN), and storage integration for Managed AI Service Providers (MSSPs) and Model Context Protocol (MCP) servers.
- Production Support: Act as the highest technical point of contact for troubleshooting critical deployment failures, performance bottlenecks, and network connectivity issues in production environments.
- Mentorship: Mentor junior deployment engineers and provide technical guidance to ensure best practices in AI stack deployment and security.
- Service Enablement: Drive the implementation of specialized services including Cybersecurity AI Agents and MCP Security Implementation.
- Manage and optimize GPU resource allocation within OpenShift/Kubernetes (e.g., NVIDIA GPU Operator, MIG - Multi-Instance GPU) to ensure high utilization and cost-efficiency for large-scale inference workloads.
- Architect 'Sovereign Cloud' patterns for strictly regulated regions, ensuring AI model training data and inference logs never cross geopolitical or organizational boundaries.
- Implement cloud cost-governance guardrails specifically for AI services (e.g., managing high-cost GPU instances, Bedrock/Azure OpenAI token usage monitoring) to prevent 'bill shock' during scaling.
- Establish CI/CD/CD (Continuous Deployment & Continuous Diligence) pipelines for Cybersecurity AI Agents, ensuring model updates don't break security hardening or network routing.

Basic Qualifications:

- Bachelor’s or master’s degree in computer science, Engineering, or a related field
- 8 - 12 years of experience in Cloud Architecture, DevOps, or Network Security, with a focus on large-scale infrastructure deployment.
- Multi-Cloud & On-Prem Expertise: Deep hands-on experience deploying complex stacks across AWS, Azure, GCP, and strictly air-gapped On-Prem environments.
- Container Orchestration: Expert-level knowledge of Red Hat OpenShift and Kubernetes, specifically for AI workloads and complex storage/networking integrations.
- Proven experience with Zero-Trust Network Access (ZTNA), security hardening, and compliance implementation (SOC2, GDPR).
- Automation Skills: Advanced proficiency in "Infrastructure as Code" (IaC) using Terraform, Ansible, or similar tools to automate deployments.
- Networking Knowledge: Strong understanding of SDN, complex routing, tenant isolation, and secure network architecture for MSSPs.
- Problem Solving: Exceptional ability to troubleshoot high-stakes production issues and performance bottlenecks in AI infrastructure.
- Hands-on experience with Service Mesh (Istio/Linkerd) for mTLS-based communication between AI microservices and vector databases.
- Experience deploying and securing vector databases (e.g., Pinecone, Milvus, Weaviate) in high availability, clustered configurations.
- Proficiency in setting up observability stacks (Prometheus, Grafana, OpenTelemetry) to monitor not just system health, but also model latency and inference drift.
- Familiarity with securing MCP servers against prompt injection and unauthorized tool execution at the infrastructure level.
- Compliance Experience: Direct experience auditing or implementing HIPAA/SOC2 controls in a technical environment.
- Certifications: AWS/GCP Solution Architect, HashiCorp Certified: Terraform Associate, AWS/GCP Certified DevOps Engineer.

Preferred Qualifications:

- Certifications: Certified Kubernetes Administrator (CKA), AWS Certified AI Practitioner.
- AI Infrastructure: Experience with AI SOC rollouts, Model Context Protocol (MCP) servers, or AI-based security agents.

## 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.

## About Gruve

## Company Overview
- **One-liner**: Gruve provides AI-native cybersecurity, infrastructure, and data services that help enterprises deploy and secure AI at scale.
- **Entity Type**: Private (Series A, Seed stage)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2024
- **Founders**: Tarun Raisoni (CEO, Co-Founder)

## Core Business
- **Industry**: IT Services and IT Consulting; AI Security & Infrastructure
- **Target Customers**: Large enterprises (B2B), including those in regulated industries requiring private AI deployment and advanced security operations.
- **Mission / Purpose**: Enable scalable, secure, and measurable AI execution in production by delivering an AI-native approach to enterprise services.

## Products & Services
- **PulseAI**: A private AI infrastructure platform that enables enterprises to deploy generative AI on-premises, in the cloud, or in hybrid environments – production-ready in under two weeks. (SaaS/infrastructure)
- **AI SOC**: An AI-driven Security Operations Center that combines AI detection, automated investigation, and intelligent response to improve security team efficiency and reduce risk. (Managed service/SaaS)
- **Digital Forensics & Incident Response**: Structured methodologies for preserving evidence, investigating incidents, and accelerating recovery. (Service)
- **Enterprise AI Transformation Services**: Consulting and implementation services including data science, Kubernetes SRE, forward deployment engineering, and AI solution architecture. (Professional services)

## Market Standing
- **Valuation**: Not disclosed
- **Total Funding**: USD $57.5 million (across Seed and Series A rounds)
- **Key Investors**: Mayfield Fund (lead in Series A), Xora Innovation (lead in prior round)
- **Notable Acquisitions**: SecurView (July 2024), NetServ (September 2024), Lumos (October 2024)
- **Growth Signals**: 120.3% YoY employee growth (from ~134 to 413 employees); operations across 9 countries; featured in Cybersecurity Insiders on AI agent governance.

## Competitive Advantages
- **AI-Native Architecture**: Unlike legacy stacks built for static software, Gruve designs for dynamic AI workloads (probabilistic decisions, context retrieval, autonomous actions).
- **Speed to Scale**: Claims 500MW+ of distributed edge AI inference capacity and a 30% cost advantage over alternatives.
- **Integrated Security & AI**: Combines private AI infrastructure (PulseAI) with an AI-powered SOC, covering the entire lifecycle from deployment to defense.
- **Talent & Expertise**: Team draws from top firms (Cisco, IBM, Infosys) and includes deep Kubernetes, data science, and cybersecurity specialists.

## Strategic Focus
- **Private AI Deployment**: Helping enterprises keep AI workloads on their own infrastructure to maintain data ownership, governance, and security.
- **AI Security Governance**: Developing solutions to govern AI agents as a new attack surface, as highlighted in their recent thought leadership.
- **Global Expansion**: Operating in 9 countries (US, India, South Korea, UAE, Singapore, Japan, Saudi Arabia, Germany, Canada) with plans to scale further.
- **Partner Ecosystem**: Working closely with hyperscalers (noted VP of Hyperscaler Solutions) and achieving Red Hat advanced tier partner status.

## Why Work Here
- **High Growth Environment**: Headcount more than doubled in the past year, offering rapid career progression and the chance to shape a young company.
- **Culture of Trust**: Core values include giving trust from day one, constructive feedback, and a championship mindset.  
- **Global & Remote-Friendly**: Offices in 4 countries (US, India, Singapore, UAE) and remote roles posted; a distributed team with cultural diversity.
- **Learning & Impact**: Mentorship programs, opportunities to lead innovative projects in AI and security, and the ability to work on cutting-edge infrastructure.
- **Notable Perks**: Focus on career development, knowledge sharing, and a "people-first" approach.

## Sources
1. [gruve.ai – Company homepage](https://gruve.ai/)
2. [gruve.ai – About Us](https://gruve.ai/about-us/)
3. [gruve.ai – Life at Gruve](https://gruve.ai/life-at-gruve/)
4. [linkedin.com/company/gruveai – LinkedIn Company Page](https://www.linkedin.com/company/gruveai)
5. [job-boards.greenhouse.io/gruve – Careers Page](https://job-boards.greenhouse.io/gruve)

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