11+ Sonar Jobs in Bangalore (Bengaluru) | Sonar Job openings in Bangalore (Bengaluru)

Strong written/verbal communication skills

·       Minimum 5+ Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Fork joins pool and other threading concepts)

·       Good knowledge of the JVM with an understanding of performance and memory optimization.

·       Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·       Excellent knowledge on collections like, Array List, Vector, LinkedList, HashMap, Hash Table, HashSet is mandate.

·       Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·       Expert level understanding of Object-Oriented Concepts and Data Structures

·       Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non-clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

About us

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

About the Role

We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building or supporting Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI integration, requiring not just system design skills, but also creativity in prompt engineering and working with data-rich environments.

You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade automation and decision-making systems.

Key Responsibilities

• Develop robust, scalable Java-based backend systems that enable the orchestration of Agentic AI workflows.
• Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
• Work closely with AI/ML teams to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
• Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
• Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
• Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
• Monitor and optimize service performance, reliability, and scalability in production environments.
• Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.

Required Qualifications

• 4+ years of experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
• Practical knowledge of Python, particularly for scripting, API consumption, or integration with AI frameworks.
• Exposure to Agentic AI systems using tools such as LangGraph, Crew AI, AutoGen, or similar.
• Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
• Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
• Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
• Strong grasp of object-oriented design, data structures, and algorithms.

Preferred Qualifications

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
• Background in building microservices or backend systems for data-rich AI/ML platforms.
• Experience with vector databases, embedding services, or semantic search integration.
• Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
• Prior involvement in developing LLM-powered agents, copilots, or task bots is a strong plus.

What We Offer

• Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
• A flexible hybrid work model in our Bangalore office.
• Competitive compensation with performance-based rewards.
• A culture that promotes engineering excellence, experimentation, and growth.
• Access to learning platforms, technical workshops, and industry-leading AI research.

Why Join Reltio?

• Support for home office setup:Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal

Health & Wellness:

• Comprehensive Group medical insurance including your parents with additional top-up options.Accidental Insurance
• Life insurance
• Free online unlimited doctor consultations
• An Employee Assistance Program (EAP)

Work-Life Balance

• 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
• 26 weeks of maternity leave, 15 days of paternity leave
• Very unique to Reltio - 01 week of additional off as recharge week every year globally

Work Location: Bangalore

Job Type: Full-time

Experience Level: 5-10 years

Job Description:

We are looking for a talented Java Developer with a strong background in multithreading, microservices , Spring Boot, data structures and algorithms, and SQL, specifically within the banking sector. The ideal candidate will be responsible for designing and implementing high-performance applications that cater to our financial services.

Key Responsibilities:

• Develop and maintain robust, scalable Java applications using Spring Boot.
• Implement multithreading concepts to enhance application performance and responsiveness.
• Design and optimize data structures and algorithms for efficient data processing.
• Collaborate with business analysts and stakeholders to understand requirements and translate them into technical solutions.
• Write complex SQL queries and optimize database interactions to ensure high performance.
• Conduct code reviews and contribute to team best practices and standards.
• Troubleshoot and resolve issues in a timely manner, ensuring minimal impact on business operations.
• Stay updated with the latest trends in Java development and banking technology.

Required Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Proven experience as a Java Developer, added advantage in the banking or financial services domain.
• Strong proficiency in Java, with a deep understanding of multithreading concepts.
• Hands-on experience with the Spring Boot framework and Microservices
• Solid understanding of data structures and algorithms and their application in solving complex problems.
• Proficient in SQL and experience with relational database management systems (e.g., Oracle, MySQL).
• Strong analytical and problem-solving skills, with the ability to work under pressure.
• Excellent communication skills and the ability to work

If interested, Kindly drop cv in linkedIn: linkedin.com/in/ranjini-c-n-36b674131

Required Skills:

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

Product Responsibilities:

As an Engineering Manager, you will be responsible for the end-to-end delivery of one or more products and solutions.

10+ years of relevant industry experience.

Be technically strong and deliver product excellence.

Collaborate with your team and cross-functional partners to define and influence strategy.

Drive roadmap creation and execution.

Collaborate with various functions, drive engineering initiatives, and have an impact at an organizational level.

Participate in technical design. You will be the owner of the technical direction of the products.

Define clear OKRs and measure the impact of your team and individual members.

Evangelize your products across various teams and also to external customers.

Work with the GTM team to deliver success for the products.

Collaborate with the Recruitment/HR team to hire exceptional talent for your own team and also for other teams.

Minimum Qualifications:

Bachelor degree preferably in Computer Science from a reputed engineering college.

10+ years of proven experience, with 2+ years of leading a team.

Very strong in hands-on coding.

8+ years of combined experience in JVM languages(Java, Scala, Kotlin, etc), any scripting language like python, relational and non-relational databases.

Very strong in system design. You should have designed and implemented large-scale Web applications or data systems.

Strong verbal and written communication skills.

Demonstrated experience recruiting and managing technical teams, including performance management.

Good to have:

Don't worry, we'll ramp you up, but experience in any of these areas will help you hit the ground running:

Familiarity with technologies such as Apache Spark, Apache Hadoop ecosystem, and modern warehouses like Snowflake, AWS Redshift, etc.

Experience working with public cloud systems such as AWS, GCP, or Azure.

Experience with containerization and technologies such as Kubernetes and Docker.

 Knowledge of large-scale, data-heavy distributed systems.