---
title: 'Senior Software Engineer (Java Fullstack) at Gruve'
canonical: 'https://feeny.ai/job/senior-software-engineer-java-fullstack-gruve-pune-fv5fa14v9e6e'
type: 'job'
last_seen: '2026-10-14'
---

# Senior Software Engineer (Java Fullstack) at Gruve

- **Company:** Gruve
- **Location:** Pune, India
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-10-14
- **Apply:** https://gruve.ai/careers/?gh_jid=5407504008

## 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:

Gruve is seeking a Senior Software Engineer (Java) for the SecurityHub365 platform to work closely with the Engineering team in Pune and drive backend delivery for Gruve’s multi-tenant Security Operations (SOC) and ITSM platform. SecurityHub365 ingests and correlates security-incident data, manages the ITSM lifecycle, and integrates with SIEM/XDR and enterprise systems. It runs as an event-driven microservice platform and is actively modernising across containerisation, cloud, and stronger platform foundations. This is a hands-on build-and-lead role. The Lead Engineer will own significant parts of the backend, raise the engineering bar, mentor an early-career team, and drive delivery, while still writing and reviewing code daily. We are an AI-forward team, and using AI tooling effectively is central to how we build.

Key Roles & Responsibilities:

Design & Delivery Ownership

- Own the end-to-end design and delivery of backend services and features, within the platform’s architectural direction, from requirements and API contracts through implementation, testing, and production.
- Make design decisions within your services, set patterns, and guide the team through trade-offs.
- Contribute to and influence platform architecture alongside the platform architect.

Technical Leadership & Mentoring

- Provide day-to-day technical leadership to drive tech deliveries and solutioning and raise the engineering bar through code review and design guidance.
- Mentor junior/new engineers, grow their skills, and reduce single-points-of-failure by spreading knowledge.

Quality, Security & Reliability

- Drive testing strategy, security, resilience, and performance on a multi-tenant platform where correctness and tenant isolation matter.
- Own non-functional concerns: authentication and authorization, error handling, observability, and safe rollout.

AI-Augmented Engineering (core to this role)

- Use AI coding assistants and agentic tools (for example Claude Code, Claude, Copilot) day to day: scaffolding, refactoring, generating tests, and documentation.
- Apply strong prompt engineering and agentic, “vibe-coding” workflows: decompose work into well-scoped tasks, delegate to AI agents, steer them, and integrate the results cleanly.
- Exercise judgement on where AI helps (boilerplate, CRUD, mirrored patterns, tests, docs) versus where human rigour is required (security, authentication, correctness, and architecture). Review AI-generated code critically; never merge it blind.
- Help the team adopt AI well, setting sensible practices and review gates so speed never comes at the cost of quality.

Agile Delivery & Planning

- Drive sprint planning, backlog refinement, estimation, and breaking epics into deliverable stories.
- Produce defensible estimates grounded in the work, and sequence discovery and scope before committing timelines.

Collaboration & Stakeholders

- Partner with product and the SOC/automation teams to scope work, define boundaries, and turn requirements into buildable plans.
- Communicate clearly with stakeholders, manage expectations, and provide clear delivery status.

Basic Qualifications:

- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- 6 to 8 years building systems in Java and React/Angular, min 2 years full stack development exp. with strong fundamentals (OOP, concurrency, data structures, clean code) and depth in Spring Boot.
- Proven experience designing and running microservices and RESTful APIs (contract-first / OpenAPI a plus).
- Hands-on with event-driven architecture using Apache Kafka (topics, consumers, delivery semantics, eventual-consistency trade-offs).
- Solid experience with MongoDB (data modelling, queries, indexing); working knowledge of relational databases.
- Experience with authentication and authorization in multi-tenant systems: JWT/OAuth2 and identity integration (LDAP/AD).
- Experience with containerisation and CI/CD: Docker, Kubernetes, Jenkins (or equivalent), Git-based workflows, static analysis.
- Demonstrated technical leadership: mentoring, code review, and owning delivery for a squad.
- Fluency in Agile/Scrum and the ability to write clear user stories, acceptance criteria, and defensible estimates.
- Effective, hands-on use of AI development tools (AI assistants and agentic coding e.g. ClaudeCode) with sound judgement on review and quality.
- Strong communication skills across technical and non-technical audiences; comfortable working with distributed teams across India and the US.

## Preferred Qualifications/skills

- Familiarity with Azure cloud services and infrastructure-as-code.
- Exposure to security operations / SOC / ITSM domains, or integrations with SIEM/XDR (for example QRadar, Cisco XDR), Jira, or Cherwell.
- Experience modernising legacy systems and paying down technical debt.
- Experience mentoring or leading early-career engineers.
- Prior experience in a startup or high-growth technology environment.
- Hands-on, senior full stack engineer who combines strong system-design skills with Java & front end technologies.

## 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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