Software Developer 2

Job Title : Java Backend Developer

Experience : 3 to 6 Years

Locations : Bangalore / Gurgaon (Hybrid – 3 Days Work From Office)

Shift Timings : 11:00 AM – 8:00 PM IST

Notice Period : Immediate to 15 Days Only

Job Description :

We are looking for experienced Java Backend Developers with strong expertise in building scalable microservices-based architectures. The ideal candidate should have hands-on experience with Spring Boot, containerized deployments, and DevOps tools.

✅ Must-Have Skills :

• Java – Strong programming skills in core Java.
• Spring Boot (2.x / 3.x) – Deep understanding of microservices architecture and patterns.
• Microservices – Design and implementation experience.
• Kubernetes – Experience deploying and managing microservices
• Jenkins & Maven – Build and CI/CD pipeline experience
• PostgreSQL – Experience with relational database management

✨ Good-to-Have Skills :

• Git – Source control management
• CI/CD Pipeline Tools – End-to-end pipeline automation
• Cloud & DevOps Knowledge – Experience with cloud-based deployments

Job Description:

We are seeking a highly motivated and skilled Full Stack Java Developer with strong experience in backend and frontend development, cloud deployment, and modern DevOps practices. The ideal candidate will have a solid background in Java/J2EE technologies, hands-on experience in developing microservices on AWS, and a good understanding of CI/CD pipelines and monitoring tools.

Key Responsibilities:

• Design, develop, test, and maintain scalable web applications and microservices.
• Implement backend logic using Core Java, J2EE, Spring Boot, Spring Batch, JPA, and REST APIs.
• Build responsive UIs using React, HTML, CSS, and integrate them with backend services.
• Develop and deploy microservices using AWS services like ECS, EC2, S3, API Gateway, Aurora, ALB, and Route 53.
• Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.
• Write unit and integration tests using JUnit and Cucumber.
• Monitor application performance using APM tools and analyze logs using Splunk or similar tools.
• Implement CI/CD pipelines using Jenkins, Maven/Gradle, and Git/Bitbucket.
• Work with containerization and orchestration tools like Docker and Kubernetes.
• Collaborate with cross-functional teams using tools like JIRA and Confluence.

Required Skills & Experience:

• Strong hands-on experience in Java/J2EE application development.
• Proficiency in Spring frameworks (Spring Boot, Batch) and RESTful services.
• Frontend development experience with React, HTML, CSS.
• Solid experience with AWS cloud technologies and deployment practices.
• Experience in writing and maintaining automated tests with JUnit and Cucumber.
• Knowledge of APM tools and log analysis tools (e.g., Splunk).
• Familiarity with CI/CD pipelines and tools (Jenkins, Maven/Gradle, Git).
• Experience with Docker and Kubernetes.
• Excellent problem-solving, debugging, and analytical skills.
• Good communication skills and ability to work in Agile teams.

Preferred Qualifications:

• AWS certification is a plus.
• Experience with Amazon Aurora and API Gateway in production environments.
• Knowledge of SOA, messaging systems (e.g., MQ), and security best practices.

• Develop, enhance, and maintain Java-based applications using Spring Boot and related frameworks.
• Design, implement, and optimize Microservices with RESTful APIs.
• Build and manage Spring Batch jobs, including scheduling, chunk processing, partitioning, and error handling.
• Apply object-oriented design (OOD) and GoF design patterns (Factory, Singleton, Strategy, Observer, etc.).
• Write clean, maintainable, and scalable code following best coding standards.
• Integrate applications with databases (SQL/NoSQL) and messaging systems (Kafka/RabbitMQ).
• Participate in code reviews, technical discussions, and architectural decisions.
• Troubleshoot production issues and ensure application performance, scalability, and reliability.
• Work in an Agile/Scrum environment and collaborate with cross-functional teams.

Technical Skills Required

• ** Core Java 8+**, OOP, Collections, Multithreading
• ** Spring Boot**, Spring MVC, Spring Data JPA
• ** Spring Batch** (Job/Step configuration, Tasklets, Readers/Writers, partitioning)
• ** Microservices** (REST, API Gateway, service discovery, resilience patterns)
• ** Design Patterns** (Factory, Singleton, Adapter, Strategy, Builder, Observer, etc.)
• ** Databases:** MySQL/PostgreSQL/Oracle, MongoDB (optional)
• ** Messaging:** Kafka / RabbitMQ (preferred)
• ** Build tools:** Maven/Gradle
• ** CI/CD:** Jenkins, GitLab CI, or similar
• ** Cloud:** AWS / Azure / GCP (optional but preferred)
• ** Testing:** JUnit, Mockito

We are looking for a Senior Backend Engineer to build and operate the core AI/ML-backed systems that power large-scale, consumer-facing products. You will work on production-grade AI runtimes, retrieval systems, and ML-adjacent backend infrastructure, making pragmatic tradeoffs across quality, latency, reliability, and cost.

This role is not an entry point into AI/ML. You are expected to already have hands-on experience shipping ML-backed backend systems in production.

At Proximity, you won’t just build APIs - you’ll own critical backend systems end-to-end, collaborate closely with Applied ML and Product teams, and help define the foundations that power intelligent experiences at scale.

Responsibilities -

• Own and deliver end-to-end backend systems for AI product runtime, including orchestration, request lifecycle management, state/session handling, and policy enforcement.
• Design and implement retrieval and memory primitives end-to-end — document ingestion, chunking strategies, embeddings generation, indexing, vector/hybrid search, re-ranking, caching, freshness, and deletion semantics.
• Productionize ML workflows and interfaces, including feature and metadata services, online/offline parity, model integration contracts, and evaluation instrumentation.
• Drive performance, reliability, and cost optimization, owning P50/P95 latency, throughput, cache hit rates, token and inference costs, and infrastructure efficiency.
• Build observability by default, including structured logs, metrics, distributed tracing, guardrail signals, failure taxonomies, and reliable fallback paths.
• Collaborate closely with Applied ML teams on model routing, prompt and tool schemas, evaluation datasets, and release safety gates.
• Write clean, testable, and maintainable backend code, contributing to design reviews, code reviews, and operational best practices.
• Take systems from design → build → deploy → operate, including on-call ownership and incident response.
• Continuously identify bottlenecks and failure modes in AI-backed systems and proactively improve system robustness.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 6–10 years of experience building backend systems in production, with 2–3+ years working on ML/AI-backed products such as search, recommendations, ranking, RAG pipelines, or AI assistants.
• Strong practical understanding of ML system fundamentals, including embeddings, vector similarity, reranking, retrieval quality, and evaluation metrics (precision/recall, nDCG, MRR).
• Proven experience implementing or operating RAG pipelines, covering ingestion, chunking, indexing, query understanding, hybrid retrieval, and rerankers.
• Solid distributed systems fundamentals, including API design, idempotency, concurrency, retries, circuit breakers, rate limiting, and multi-tenant reliability.
• Experience with common ML/AI platform components, such as feature stores, metadata systems, streaming or batch pipelines, offline evaluation jobs, and A/B measurement hooks.
• Strong proficiency in backend programming languages and frameworks (e.g., Go, Java, Python, or similar) and API development.
• Ability to work independently, take ownership of complex systems, and collaborate effectively with cross-functional teams.
• Strong problem-solving, communication, and system-design skills.

Desired Skills -

• Experience with agentic runtimes, including tool-calling or function-calling patterns, structured outputs, and production guardrails.
• Hands-on exposure to vector and hybrid retrieval stacks such as FAISS, Milvus, Pinecone, or Elasticsearch.
• Experience running systems on Kubernetes, with strong knowledge of observability stacks like OpenTelemetry, Prometheus, Grafana, and distributed tracing.
• Familiarity with privacy, security, and data governance considerations for user and model data.

Benefits

• Best in class compensation: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet engineers, designers, and product leaders — and learn from experts across domains.

Keep on learning with a world-class team: Work on real, production AI systems at scale, challenge yourself daily, and grow alongside some of the best minds in the industry.

Responsibilities:

• Design, develop, and maintain web applications using Java and React JS.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Ensure the performance, quality, and responsiveness of applications.

• Identify and correct bottlenecks and fix bugs.

• Maintain code integrity and organization.

• Build reusable components and front-end libraries for future use.

• Translate designs and wireframes into high-quality code.

• Optimize components for maximum performance across a vast array of web-capable devices and browsers.

• Participate in team meetings and discussions to understand user needs and functionalities.

• Perform code reviews and improve and maintain code quality.

• Work closely with product management and back-end developers to integrate user-facing elements with server-side logic.

• Keep up-to-date with the latest industry trends and technologies to ensure applications are current and competitive.

Requirements:

• Strong proficiency in Java.

• Familiarity with RESTful APIs and web services.

• Good project management skills.

• Strong communication and teamwork abilities.

Looking for Java Developer for Gurugram and Bangalore Location with 5+ years of experience win Java + Microservices , Multithreading , Spring boot , Kafka and any MQ Series

Title: Sr.java Developer

Location  : Pune

Exp : 7+ Years

-              Strong Java background and backend Database experience

              Must have strong exp in SQL

             Experience should include working on an Enterprise level product.

-              Should have knowledge in Apache Calcite

Position : Backend Developer – SDE3 : Java/Nodejs

As part of the engineering team, you would be expected to have deep technology expertise with a passion for building highly scalable products. This is a unique opportunity where you can impact the lives of people across 150+ countries!

Responsibilities

● Own architecture, design, development, and implementation of different modules/features of the services

● Design, develop, deploy and support web applications.

● Bring in industry best practices

● Discover opportunities for performance improvements

● Recommend ways to improve reliability, efficiency and code quality

● Focus on continuous delivery and reducing complexity

● Carry out code reviews and manage pull requests within the mobile application development team

● Build applications based on micro-services architecture

Requirements

● Overall 5+ years of experience in Backend development (Java or Nodejs).

● B.E/B.Tech in CS or equivalent streams from institute of repute (IITs, NITs, BITs, IIITs or equivalent)

● Strong object oriented design skills & knowledge of design patterns

● Experience in working with data platform & data lake pipeline building is preferred.

● Experience designing & developing distributed systems involving multiple web services, databases (both SQL and NoSQL), caches, queues, etc. taking into consideration scalability, availability, fault tolerance, consistency, etc. of the overall system

● Well-aware of and enforces development best practices: Unit Tests, Code Reviews, Integration Tests, CI/CD, Monitoring, Alerting, etc