🚀Mobileum Hiring 2026: Senior Engineer – Java | Referral Opportunity | 8–12 Years | Bengaluru |

Mobileum is hiring a Senior Engineer – Java in Bengaluru, and this is a particularly interesting opportunity for experienced backend engineers who want to combine Core Java, distributed systems, telecom technology and Agentic AI/GenAI.

📍 Location: Bengaluru, Karnataka, India
💼 Position: Senior Engineer – Java
🧑‍💻 Experience: 8–12 years
🎓 Qualification: BE/B.Tech, ME/M.Tech, M.Sc. Computer Science/Electronics or MCA
🏢 Domain: Telecom, Roaming, AI & Network Intelligence

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🏢 About Mobileum

Mobileum is a telecom technology company focused on transforming network data into actionable intelligence. Its solutions cover areas including roaming, network security, fraud management, testing and assurance, customer experience, analytics and 5G enablement. Mobileum says more than 1,000 communications service providers across 180+ countries rely on its solutions.

For professionals in India, Bengaluru is an important engineering location. Mobileum lists its Bangalore office at Embassy Prime, CV Raman Nagar, and has described India as a hub for its global engineering and innovation activities.

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🤖 Why This Role Is Excellent for Experienced Engineers

This position is especially attractive because it combines two highly valuable engineering tracks: mature distributed backend engineering and emerging Agentic AI.

The role can therefore help an experienced Java engineer transition toward an AI-enabled backend/platform engineering profile without abandoning core software engineering.

You’ll potentially gain experience in:

• ☕ Core Java and distributed systems
• 🤖 LLM and Agentic AI applications
• 🔎 RAG and vector databases
• 🔧 Function/tool calling
• 🧠 LangGraph/LangChain-style orchestration
• 📨 Kafka and event-driven architecture
• 🗄️ Couchbase, PostgreSQL, Redis and ClickHouse
• ☸️ Kubernetes/OpenShift
• 📡 Telecom and roaming systems
• 🛡️ AI guardrails, evaluation and observability
• 🏗️ High-availability, carrier-grade architecture

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🧩 Skills You Should Highlight

Core: Java, OOP, Collections, Multithreading, JVM fundamentals, Spring/Spring Boot, REST APIs, Microservices, Design Patterns, System Design, Distributed Systems.

Data & Messaging: Kafka, PostgreSQL, Redis, Couchbase, ClickHouse, database design and query optimization.

Cloud & Infrastructure: Kubernetes, OpenShift, Docker, Linux, cloud-native architecture and CI/CD.

GenAI: LLM APIs, prompt engineering, RAG, embeddings, vector databases, function calling, agent workflows, LangGraph, LangChain, Python, evaluation and observability.

Telecom: Roaming, traffic steering, signaling, network operations and telecom protocols are major advantages.

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🎯 Expected Mobileum Interview Rounds

Round 1 – Recruiter/Screening: Experience, notice period, current role, compensation and relevance to Java/AI.

Round 2 – Core Java & Coding: OOP, Collections, multithreading, Java internals, debugging, coding and problem-solving. Mobileum candidate reports have specifically mentioned Java, collections, threading, design patterns and debugging.

Round 3 – System Design: Microservices, distributed systems, Kafka, caching, databases, scalability and high availability.

Round 4 – GenAI/Project Deep Dive: RAG, tool calling, agents, LLM architecture, evaluation, your production projects and technical decisions.

Round 5 – Managerial/Leadership: Ownership, ambiguity, mentoring, architecture decisions and cross-functional collaboration.

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💰 Expected Salary Range

Public salary data for Mobileum Bengaluru shows Senior Software Engineer compensation around ₹10–19 LPA, while Indeed reports an average of approximately ₹13.41 LPA for Senior Software Engineers in Karnataka.

Considering this particular position requires 8–12 years of experience plus 1–2+ years of production LLM/Agentic AI experience, a reasonable market-oriented expectation could be approximately ₹18–30+ LPA, depending heavily on current CTC, AI expertise, Java/system-design depth and negotiation.

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🔥 Preparation Tips

Don’t prepare only conventional Java interview questions.

Build a small Agentic AI backend project where an LLM receives a user request, retrieves relevant documentation through RAG, calls a controlled tool/API and requires approval before performing a sensitive action.

Then be ready to explain:

“How would you prevent an AI agent from making an incorrect configuration change on a live telecom system?”

Your answer should cover tool permissions, validation, guardrails, human approval, audit logging, rollback, observability and evaluation.

Also prepare a system-design problem such as:

“Design a highly available traffic-steering platform capable of processing real-time telecom events.”

This directly connects your preparation with the JD instead of relying on generic interview preparation.

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📄 Resume Tips for This Position

Your first half-page should immediately establish:

Senior Java Backend Engineer | Distributed Systems | GenAI/Agentic AI | Microservices | Kafka | Kubernetes

Quantify achievements wherever possible:

• “Designed Java microservices processing X million events/day.”
• “Implemented Kafka-based event processing reducing processing latency by X%.”
• “Built production RAG pipeline using LLMs and vector search.”
• “Developed tool-calling workflows with approval and audit mechanisms.”
• “Improved service availability to X% through resilient distributed architecture.”

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📩 How to Apply

📩lavanya.b@mobileum.com

The hiring post asks interested candidates to send an updated CV to lavanya.b@mobileum.com. Since this is an email-based opportunity, use a professional subject such as:

Subject: Application – Senior Engineer – Java | 8–12 Years | Bengaluru

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🚀 Final Takeaway

This is not simply another Senior Java Developer position. The combination of Core Java + distributed systems + telecom + Kafka + Kubernetes + Agentic AI + RAG + LLM tool calling makes it a strong opportunity for experienced engineers looking to move toward AI-powered backend and platform engineering.

If you already have 8–12 years of Java experience and genuine hands-on experience building LLM applications in production, this role is particularly aligned with the current direction of enterprise software engineering. 🔥

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