Senior Software Engineer
R
ResilincSupply chain risk management
Listing location: India; Workplace type: RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5-8+ years of professional software development experience; 3+ years of hands-on work with complex SQL queries and related database work.
- Required Skills
- DockerPostgreSQLSQLJavaKubernetesSpring BootAzureRESTful APIsMicroservices
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 5-8+ years of professional software development experience with hands-on Java, Spring Boot, and backend engineering expertise.
- Experience designing REST APIs, microservices, and distributed applications.
- Knowledge of object-oriented design, SOLID principles, and common design patterns.
- Strong RDBMS and PostgreSQL experience, including 3+ years working with complex SQL, schema design, and query optimization.
- Hands-on experience with JPA/Hibernate, Git, and Maven or Gradle.
- Experience with automated testing frameworks such as JUnit and Mockito.
- Experience with Azure, Docker, Kubernetes, and CI/CD pipelines.
- Strong debugging, analytical, problem-solving, and performance-tuning skills, with an understanding of secure backend development.
- Experience working in Agile/Scrum teams and collaborating across functions.
- Kafka or other messaging and event-streaming platforms are desirable.
- Additional relevant experience may include Redis, Spark, OAuth 2.0, JWT, observability tools, performance testing, infrastructure as code, Domain-Driven Design, Angular, or React.
Responsibilities
- Design, develop, test, deploy, and maintain scalable backend services using Java and Spring Boot.
- Build reusable production code and contribute to technical design and architecture decisions.
- Design RESTful APIs and microservices, including secure service-to-service integrations and API security.
- Design database schemas and data-access solutions, and write and optimize complex SQL.
- Deploy, manage, and scale cloud-native applications in Azure using CI/CD practices.
- Use Docker and Kubernetes for containerized application deployment and orchestration.
- Apply distributed-systems, concurrency, caching, resilience, retry, and fault-tolerance patterns.
- Develop unit and integration tests and participate in code reviews.
- Diagnose production issues, perform root-cause analysis, and implement durable fixes.
- Collaborate with product managers, architects, QA, DevOps, and engineers; mentor junior and mid-level engineers.
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