Java Developer

Role & Responsibilities

As a Software Development Engineer - 3, Backend Engineer , you will play a critical role in architecting, designing, and delivering robust backend systems that power our platform. You will lead by example, driving technical excellence and mentoring peers while solving complex engineering problems. This position offers the opportunity to work with a highly motivated team in a fast-paced and innovative environment.

Key Responsibilities:

Technical Leadership-

• Design and develop highly scalable, fault-tolerant, and maintainable backend systems using Java and related frameworks.
• Provide technical guidance and mentorship to junior developers, fostering a culture of learning and growth.
• Review code and ensure adherence to best practices, coding standards, and security guidelines.

System Architecture and Design-

• Collaborate with cross-functional teams, including product managers and frontend engineers, to translate business requirements into efficient technical solutions.
• Own the architecture of core modules and contribute to overall platform scalability and reliability.
• Advocate for and implement microservices architecture, ensuring modularity and reusability.

Problem Solving and Optimization-

• Analyze and resolve complex system issues, ensuring high availability and performance of the platform.
• Optimize database queries and design scalable data storage solutions.
• Implement robust logging, monitoring, and alerting systems to proactively identify and mitigate issues.

Innovation and Continuous Improvement-

• Stay updated on emerging backend technologies and incorporate relevant advancements into our systems.
• Identify and drive initiatives to improve codebase quality, deployment processes, and team productivity.
• Contribute to and advocate for a DevOps culture, supporting CI/CD pipelines and automated testing.

Collaboration and Communication-

• Act as a liaison between the backend team and other technical and non-technical teams, ensuring smooth communication and alignment.
• Document system designs, APIs, and workflows to maintain clarity and knowledge transfer across the team.

Ideal Candidate

• Strong Java Backend Engineer.
• Mandatory (Experience 1): Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)
• Mandatory (Experience 2): Must have been SDE-2 for at least 2.5 years (title should be there in resume)
• Mandatory (Tech skill 1) : Hands-on experience with RESTful APIs and microservices architecture
• Mandatory (Tech skill 2): Strong understanding of distributed systems, multithreading, and async programming
• Mandatory (Tech skill 3): Experience with relational and NoSQL databases
• Mandatory (Tech skill 4) : Exposure to Kafka/RabbitMQ and Redis/Memcached
• Mandatory (Tech skill 5): Experience with AWS / GCP / Azure, Docker, and Kubernetes
• Mandatory (Tech skill 6) : Familiar with CI/CD pipelines and modern DevOps practices
• Mandatory (Tech skill 7): Must have worked on core product/platform teams rather than support or internal tooling
• Mandatory (Ownership & Impact): Candidate should demonstrate end-to-end ownership of backend systems, including architecture/design decisions (HLD/LLD), scalability improvements, or measurable production impact (resume should clearly mention metrics such as scale, throughput, latency improvements, reliability, cost optimization, or user impact)
• Mandatory (Company): Top product companies (logistics, supply chain, e-commerce, or B2B SaaS at large scale)
• Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies
• Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

•  4+ years JAVA/J2EE experience Spring Services, Spring Security and Rest Api's
• Spring Framework: Core Spring / Spring Boot / Spring MVC ,Rest Service 
•  JPA/Hibernate, JSON parsing
• Build Tool : Maven
• Apache tomcat
• Database : Any RDMS (preferably Mysql)
•  SCM: Git / Bitbucket
•  Java 8 Generics, SOLID Design Principle
•  Strong experience on Collections Framework and Threading
• Collections: Hashmaps, Concurrent Hashmaps, Treemap, Thread pool
•  SSO, PAS, JPA/Hibernate, API Integration Build, MATLAB Integration with Java, Json Conversion.
• Location : PAN India(Preferred Bangalore)
• Early joiners preferred.

• Building components for the company’s advanced health tech platform using Java, Solr, SpringBoot, DialogFlow
• Communicating effectively in a cross-functional product development team and presenting ideas and solutions effectively
• Prioritizing and managing workload and meeting critical project milestones and deadlines
• Effectively collaborating with a team as well as taking initiative and working independently to solve problems

Desired Candidate Profile

Responsibilities : 

• Design and develop scalable, high performance, and reliable API driven services/applications in Java language that operate whole day.
• Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
• Interact with both business, financial research, and technical stakeholders to deliver high quality products and services that meets/exceeds business, customer, and technical requirements.
• Own products and code from cradle to grave including production quality/performance monitoring.

Required Skills :

• Experience building and running high performance enterprise applications developed in Java language.
• Hands on experience developing Java web applications built with modern standards-based APIs including Java based REST APIs and implementations. 
• Experience in Java language APIs, Spring technologies, Hibernate, JDBC, RDBMS and NoSQL based data persistence.
• Experience developing solutions on AWS Cloud leveraging AWS Lambda, S3, DynamoDB, Cloud Formation, and other related AWS technologies. 
• Solid understanding of Domain Modeling with Relational and Non-Relational Databases.
• Excellent debugging and problem-solving skills, including ability to diagnose and fix performance and scalability issues.
• Experience working in an agile methodology-based development environment.
• Excellent written and verbal communication skills.
• BS/B.Tech/M.Tech in Computer Science or a related field.

Basic Qualifications

Candidates for this role must have:

• Bachelor’s degree in computer science or a related field
• At least three years of experience writing production code of increasing complexity
• Strong understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, problem solving, and object-oriented analysis and design
• Proficiency in at least one of the following: Java, C, C++, C#, Ruby, Scala, Python
• Experience refactoring code and evolving architectures
• Experience crafting unit, integration, functional and regression tests

 Preferred Qualifications

• Master’s degree in computer science or a related field
• Experience developing in a Linux environment
• Experience applying service-oriented architecture techniques to production use cases
• Experience in developing secure, multi-platform mobile applications