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Last updated: March 2025
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Last updated: March 2025
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What recruiters look for, keywords that get past ATS, and what skills to highlight in 2026.
Upload your resume and get an instant ATS score against a real Spring Boot Developer job description.
Generate bullets for my Spring Boot Developer resume →A Spring Boot Developer typically starts the day reviewing CI/CD pipeline build results and triaging any failing integration tests before joining a stand-up where they discuss ongoing microservice feature work and API contract changes with the team. Mid-day is spent designing or refactoring RESTful endpoints, writing unit and integration tests with JUnit 5 and Testcontainers, and reviewing pull requests focused on performance bottlenecks in database query layers or caching strategies. The afternoon often involves collaborative work with DevOps engineers to tune Kubernetes deployment configs, update Actuator health checks, or instrument services with Micrometer metrics for Prometheus/Grafana dashboards.
Recruiters and hiring software scan for these — make sure they appear naturally in your resume.
Strong bullet points use action verbs, specific context, and measurable outcomes. Adapt these for your own experience.
Industry-standard tools hiring managers expect to see for this role.
Skills becoming highly valued in the next 2–3 years — early adoption signals forward-thinking candidates.
What is the difference between Spring MVC and Spring WebFlux, and when should I use each?
Spring MVC uses a traditional thread-per-request blocking I/O model backed by a servlet container like Tomcat, making it straightforward for CRUD-heavy applications with relational databases. Spring WebFlux uses a non-blocking, event-loop model (via Project Reactor) suited for high-concurrency scenarios with I/O-bound operations like calling multiple downstream services in parallel. With the introduction of Virtual Threads in JDK 21 and Spring Boot 3.2+, the gap narrows — many teams now prefer Virtual Threads on MVC rather than adopting the reactive programming model's steeper learning curve.
How should Spring Boot microservices handle distributed transactions?
Traditional two-phase commit (2PC) is avoided in microservices due to tight coupling and availability trade-offs. The preferred patterns are the Saga pattern — either choreography-based (services emit and react to domain events via Kafka) or orchestration-based (a central saga orchestrator manages workflow steps) — and the Outbox Pattern to guarantee at-least-once event delivery by writing events to a database outbox table in the same local transaction, then relaying them via Debezium CDC to Kafka.
What security best practices are critical for a Spring Boot backend developer to know?
Key areas include configuring Spring Security with stateless JWT or OAuth 2.0 / OpenID Connect flows (using Spring Authorization Server or integrating with Keycloak), enforcing method-level security with @PreAuthorize, preventing SQL injection through parameterized queries via JPA/Hibernate, setting secure HTTP headers (HSTS, CSP) through Spring Security's header configuration, managing secrets via environment variables or a vault integration (HashiCorp Vault Spring Cloud Vault), and regularly scanning dependencies for CVEs using tools like OWASP Dependency-Check in the CI pipeline.
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