Java Technical Architect

Tredence; Bengaluru; Hybrid; INR 4,000,000 - 6,500,000; Full time

Job summary

Tredence in Bengaluru seeks a Senior/Lead Software Engineer specialized in Java, Spring Boot, and distributed systems to design, build, and optimize high-performance data-driven applications.

The role combines backend expertise with distributed computing, cloud-native architectures, and modern data platforms. You will work on scalable systems, ensure reliability, and collaborate with cross-functional teams to deliver impactful business outcomes.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, or related field.
• 5+ years of professional software development experience.
• Strong proficiency in Java and OO design.
• Hands-on with Java, Spring Boot, Spring Data, SQL, and Apache Kafka.
• Experience designing, developing, and deploying microservices-based applications.
• Strong understanding of distributed systems concepts: scalability, fault tolerance, high availability, distributed transactions.
• Experience with Redis and distributed caching.
• Proficiency with Git, CI/CD, Kubernetes, Docker.
• Strong problem-solving and collaboration in Agile environments.

Responsibilities

• Design, develop, test, deploy, document, and maintain scalable backend apps.
• Architect and enhance microservices for scalability, reliability, and maintainability.
• Build distributed systems for high-throughput, low-latency workloads.
• Design event-driven architectures using Apache Kafka and streaming technologies.
• Implement caching strategies using Redis to improve performance.
• Analyze and optimize JVM behavior, memory utilization, and throughput.
• Solve complex multithreading and concurrency challenges in large-scale distributed environments.
• Develop large-scale data processing pipelines and analytics solutions using Big Data technologies.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions to power AI-driven chatbot experiences.
• Collaborate with product managers, architects, and cross-functional teams to deliver business outcomes.
• Participate in architecture reviews, technical design discussions, and code reviews.
• Troubleshoot production issues and drive long-term reliability and operational improvements.
• Champion engineering best practices, automation, testing, observability, and operational excellence.

Skills

Java

Spring Boot

Microservices

Distributed Systems

Big Data

Kafka

Redis

JVM Internals

Multithreading

REST APIs

Kubernetes

Docker

Git

CI/CD

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Kafka

Redis

Kubernetes

Docker

Git

CI/CD

Job description

Senior / Lead Software Engineer Java, Distributed Systems

9-12yrs

Bangalore

About the Role

We are seeking a highly skilled Senior/Lead Software Engineer with strong expertise in Java, Spring Boot, Microservices, Distributed Systems, and Big Data technologies. In this role, you will design, develop, and optimize scalable, resilient, and high-performance applications that process large volumes of data and support mission-critical business functions.

The ideal candidate combines deep backend engineering expertise with hands-on experience in distributed computing, performance optimization, cloud-native architectures, and modern data platforms.

Key Responsibilities

• Design, develop, test, deploy, document, and maintain scalable full-stack and backend applications.
• Architect and enhance microservices-based solutions with a focus on scalability, reliability, and maintainability.
• Build and optimize distributed systems capable of handling high-throughput, low-latency workloads.
• Design and implement event-driven architectures using Apache Kafka and streaming technologies.
• Implement caching strategies using Redis and similar technologies to improve application performance.
• Analyze and optimize application performance, memory utilization, JVM behavior, and system throughput.
• Solve complex multithreading and concurrency challenges in large-scale distributed environments.
• Develop large-scale data processing pipelines and analytics solutions using Big Data technologies.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions to power AI-driven chatbot experiences.
• Collaborate closely with product managers, architects, and cross-functional teams to deliver business outcomes.
• Participate in architecture reviews, technical design discussions, and code reviews.
• Troubleshoot production issues and drive long-term reliability and operational improvements.
• Champion engineering best practices, automation, testing, observability, and operational excellence.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of professional software development experience.
• Strong proficiency in Java and object-oriented design principles.
• Hands-on experience with Java, Spring Boot, Spring Data, SQL, and Apache Kafka.
• Experience designing, developing, and deploying microservices-based applications.
• Strong understanding of distributed systems concepts, including:
• Scalability
• Consistency models
• Fault tolerance
• High availability
• Distributed transactions
• Experience with Redis or similar distributed caching technologies.
• Strong expertise in Apache Kafka and event-driven architectures.
• Deep understanding of multithreading, concurrency, and JVM internals.
• Experience with performance tuning, profiling, and application optimization.
• Strong knowledge of RESTful APIs and service integration patterns.
• Experience with relational and NoSQL databases.
• Proficiency with Git, CI/CD pipelines, and modern software engineering practices.
• Experience with Kubernetes, Docker, and container orchestration platforms.
• Strong problem-solving, communication, and collaboration skills.
• Ability to thrive in an Agile development environment.

Good to Have Qualifications

• Experience with Big Data technologies such as Scala, Apache Spark, Google BigQuery, Google Dataproc, DBT, and AtScale.
• Exposure to observability platforms and monitoring tools such as Prometheus and Grafana.