Target - Senior Engineer - Backend Development

Target · Bengaluru

  • Experience5–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted30 Jul 2026
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About Target

Target is hiring in Bengaluru in ecommerce retail. This role looks for around 5+ years of experience.

Skills

  • Java
  • Spring Boot
  • Spring MVC
  • Spring Data JPA
  • Microservices Architecture
  • RESTful APIs
  • GraphQL
  • Distributed Systems
  • Event-Driven Architecture
  • Apache Kafka
  • RabbitMQ
  • PostgreSQL
  • MySQL
  • Oracle
  • MongoDB
  • Cassandra
  • Redis
  • AWS
  • Google Cloud Platform
  • Microsoft Azure
  • Docker
  • Kubernetes
  • Jenkins
  • GitHub Actions
  • GitLab CI
  • Maven
  • Gradle
  • Prometheus
  • Grafana
  • Splunk
  • ELK Stack

The role

A backend engineer works in enterprise software engineering. This person designs and delivers scalable Java backend services with Spring Boot, microservices architecture, and distributed systems, building RESTful APIs and event-driven applications for large-scale business operations. Their defining skills include Java, Spring Boot, and distributed systems, alongside Apache Kafka, PostgreSQL, MongoDB, AWS, Docker, Kubernetes, CI/CD, and observability.

Full job description

Job Description :

- Design, develop, and maintain robust, scalable, and highly available backend applications aligned with enterprise architecture standards.

- Lead the design and implementation of high-performance, low-latency distributed systems capable of supporting large-scale business operations.

- Translate solution architecture into technical designs and deliver production-ready backend services using software engineering best practices.

- Conduct code reviews, design reviews, testing, debugging, and performance optimization to ensure high-quality, maintainable code.

- Drive application architecture discussions and influence technical design decisions across engineering teams.

- Evaluate emerging technologies, perform Proof of Concepts (POCs), and recommend technology adoption based on scalability, maintainability, and total cost of ownership.

- Build reusable components, frameworks, and automation capabilities to improve engineering efficiency and product reliability.

- Collaborate with cross-functional teams including Product, Engineering, QA, DevOps, and Architecture to deliver business-critical features.

- Provide technical leadership by mentoring engineers, resolving complex production issues, and eliminating recurring operational problems through root cause analysis.

- Lead lifecycle management of backend services, ensuring continuous improvements in reliability, scalability, performance, and operational excellence.

- Design and implement secure, resilient, and fault-tolerant backend systems while adhering to engineering standards and architectural best practices.

- Contribute to deployment automation, infrastructure readiness, disaster recovery planning, and production support activities.

- Ensure data quality, integrity, and governance across data acquisition, processing, storage, and operational workflows.

- Continuously improve system observability, monitoring, logging, and incident response processes to maintain high service availability.

- Promote Agile engineering practices by actively participating in sprint planning, technical discussions, backlog refinement, and continuous improvement initiatives.

- Stay current with evolving backend technologies, distributed computing paradigms, cloud-native architectures, and software development best practices to drive innovation within the engineering team.

Technical Skills & Expertise :

- Strong proficiency in Java, Object-Oriented Programming (OOP), and Core Java concepts.

- Hands-on experience with Spring Boot, Spring MVC, Spring Data JPA, and Microservices Architecture.

- Expertise in developing RESTful APIs and exposure to GraphQL.

- Experience with distributed systems, event-driven architecture, and asynchronous messaging using Apache Kafka, RabbitMQ, or similar platforms.

- Strong understanding of software design patterns, clean architecture, and system design principles.

- Experience working with relational databases such as PostgreSQL, MySQL, or Oracle.

- Hands-on knowledge of NoSQL databases including MongoDB, Cassandra, and Redis.

- Experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.

- Knowledge of containerization technologies like Docker and orchestration platforms such as Kubernetes.

- Experience with CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar tools.

- Familiarity with build tools such as Maven and Gradle.

- Strong debugging, performance tuning, monitoring, and production support experience.

- Exposure to monitoring and observability tools such as Prometheus, Grafana, Splunk, or ELK Stack.