Pick the Spring Boot problem. See who we would send.
Meera PillaiSenior Java Engineer94/ 100
Vlad ConstantinStaff Engineer91/ 100
Marek NovákBackend Engineer86/ 10025,000 applied. 1,000 got in.
Five scored stages, all finished before a profile reaches you. Nobody skips a stage to hit a deadline.
From £15 an hour. That is the whole pricing page.
One hourly rate with our margin printed on every invoice, billed monthly. No placement fee and no notice period beyond two weeks.
£8,314/ monthEquivalent to £48 an hourWhat a Spring Boot engineer does
Spring Boot engineers build and operate Java services that expose APIs, process events, integrate with databases, and run reliably in cloud environments. In a modern stack, Spring Boot usually sits behind web or mobile clients, connects to PostgreSQL/MySQL, Kafka or RabbitMQ, Redis, and third-party APIs, and runs in Docker/Kubernetes with Actuator, Micrometer, and OpenTelemetry for operations. In 2026, strong candidates should be comfortable with Spring Boot 3.5 and 4.x-era applications, Java 21 or 25 LTS, Spring Framework 6/7, Spring Security, Spring Data, Testcontainers, and migration issues such as javax-to-jakarta and security configuration changes. A mid-level engineer can implement endpoints, repositories, and tests from a clear design. A senior engineer makes architectural tradeoffs: transaction boundaries, API versioning, idempotency, observability, performance, schema migration, async messaging, and production failure modes. They also know when not to use framework magic and how to keep Spring applications understandable over time.
Typical responsibilities
- Design, build, and maintain Spring Boot REST, GraphQL, scheduled, and event-driven services using Java 21+ and current Spring conventions.
- Model persistence with Spring Data JPA, JDBC, or jOOQ; manage schema changes with Flyway or Liquibase; prevent N+1 queries and unsafe transaction boundaries.
- Implement authentication and authorization with Spring Security, OAuth2/OIDC, JWT, method security, and clear tenant or role boundaries.
- Build reliable integrations with Kafka, RabbitMQ, Redis, external APIs, and internal services using retries, timeouts, idempotency, and backpressure-aware patterns.
- Create automated tests with JUnit 5, Mockito, Spring Boot Test, Testcontainers, contract tests, and realistic database/message-broker fixtures.
- Operate services in production using Actuator health checks, Micrometer metrics, structured logging, OpenTelemetry tracing, Docker, Kubernetes, and CI/CD pipelines.
Must-have skills
- Strong Java 21+ skills, including records, sealed classes where useful, CompletableFuture, virtual threads tradeoffs, collections, concurrency, and JVM diagnostics.
- Hands-on Spring Boot 3.x/4.x experience with auto-configuration, configuration properties, profiles, starters, Actuator, validation, and graceful shutdown.
- Deep Spring Web knowledge: REST API design, error handling with Problem Details, OpenAPI documentation, pagination, versioning, and request/response validation.
- Spring Security experience with OAuth2/OIDC, JWT resource servers, CSRF/CORS decisions, passwordless or external identity providers, and method-level authorization.
- Persistence expertise with Spring Data JPA/JDBC, Hibernate behavior, transaction propagation, locking, lazy loading, query tuning, and migration tools such as Flyway or Liquibase.
- Testing discipline using JUnit 5, Spring Boot Test slices, Testcontainers, mocks only where appropriate, and repeatable integration tests in CI.
- Production readiness: Docker, Kubernetes basics, Actuator, Micrometer, OpenTelemetry, log correlation, connection pool sizing, timeouts, retries, and incident debugging.
Nice to have
- Experience migrating Spring Boot 2.x or early 3.x systems to current Spring Boot 3.5/4.x, including javax-to-jakarta, Spring Security changes, and dependency upgrades.
- Event-driven architecture with Kafka, Spring for Apache Kafka, outbox/inbox patterns, schema evolution, dead-letter topics, and exactly-once expectations handled realistically.
- Reactive experience with WebFlux and Reactor, plus the judgment to avoid mixing blocking JPA calls into reactive request paths.
- Native image and AOT experience with GraalVM, Spring AOT, startup tuning, memory profiling, and reflection/configuration constraints.
- Modular monolith or microservice design experience using domain boundaries, clear package structure, API contracts, and evolutionary architecture practices.
8 Spring Boot interview questions that reveal real depth
These are the kinds of questions our engineers use in technical interviews. Each comes with what a strong answer sounds like.
Full set: 25 Spring Boot questions by level, with red flags- Q1
How do you decide between Spring MVC, WebFlux, and virtual threads for a new service?
Strong answer: A strong candidate separates workload from fashion. Spring MVC is the default for most CRUD and integration-heavy services, especially with JDBC/JPA. WebFlux fits high-concurrency non-blocking I/O when the whole stack is reactive. Virtual threads can simplify blocking-style code and improve concurrency, but still require limits around database pools, downstream calls, and CPU-bound work.
- Q2
Walk me through how you would design transaction boundaries in a Spring Boot order service.
Strong answer: They should place transactions around business use cases, not controllers or every repository method. They mention @Transactional proxy behavior, self-invocation pitfalls, propagation choices, optimistic locking, and keeping external HTTP calls outside transactions. For events, they should discuss outbox or after-commit publishing instead of sending Kafka messages before the database commit is durable.
- Q3
What Spring Boot auto-configuration problems have you debugged, and how did you debug them?
Strong answer: A good answer shows they understand conditions, classpath-driven behavior, and property binding. They may mention using the condition evaluation report, Actuator configprops/env, debug logging, dependency tree inspection, and custom auto-configuration ordering. They should be wary of overriding beans blindly and should prefer explicit configuration when behavior affects security, persistence, or production reliability.
- Q4
How do you test a Spring Boot service without making the test suite slow and brittle?
Strong answer: Strong candidates use a testing pyramid adapted for Spring: fast unit tests for domain logic, slice tests for MVC/JPA/security, and targeted integration tests with Testcontainers for the real database or broker. They avoid loading the full application context everywhere, control test data, make tests deterministic, and verify contracts and migrations in CI.
- Q5
How would you secure a Spring Boot API used by multiple client applications?
Strong answer: They should discuss delegating identity to an OIDC provider, validating JWTs as a resource server, mapping claims to authorities, enforcing authorization at both route and method/domain levels, and handling CORS deliberately. A strong answer includes token expiry, audience/issuer validation, key rotation, audit logging, least privilege, and avoiding business authorization only in controllers.
- Q6
A Spring Boot endpoint becomes slow in production. How do you investigate?
Strong answer: A senior answer starts with evidence: latency percentiles, traces, logs with correlation IDs, metrics, and recent changes. They check database query plans, N+1 queries, pool saturation, GC, downstream timeouts, thread dumps, and connection leaks. They use Actuator, Micrometer, OpenTelemetry, and profiling, then fix the bottleneck rather than adding threads blindly.
- Q7
What are common JPA/Hibernate pitfalls in Spring Boot applications?
Strong answer: Look for concrete examples: N+1 selects, lazy loading outside transactions, Open Session in View hiding design issues, accidental cascade deletes, large persistence contexts, equals/hashCode mistakes, inefficient pagination with joins, and missing indexes. They should know when JPA is productive and when JDBC, jOOQ, projections, or hand-tuned SQL is more appropriate.
- Q8
How do you make a Spring Boot service reliable when consuming Kafka messages?
Strong answer: A strong answer covers idempotent consumers, explicit offset/ack strategy, retries with limits, dead-letter topics, poison message handling, observability, schema compatibility, and partition ordering. They should not promise exactly-once business behavior casually. They should connect message processing to database transactions using outbox/inbox patterns or careful deduplication keys.
Senior Spring Boot engineer job description
A ready-to-paste template. Or skip the posting entirely: send it to us as your brief and get a scored shortlist in 48 hours.
About the role We are hiring a Senior Spring Boot Engineer to build and operate production Java services for a remote engineering team. You will work on APIs, database-backed workflows, and service integrations using modern Spring Boot and Java. What you'll do Design and implement Spring Boot services using Java 21+. Build secure REST APIs with Spring Web and Spring Security. Model persistence with Spring Data, Hibernate, SQL, and Flyway or Liquibase. Integrate with message brokers, internal services, and third-party APIs. Write automated tests with JUnit 5, Spring Boot Test, and Testcontainers. Improve observability with Actuator, Micrometer, logs, traces, and dashboards. Review designs, mentor engineers, and reduce production risk. What you'll bring Strong experience with Spring Boot 3.x or 4.x applications. Deep knowledge of transactions, security, persistence, and API design. Practical production experience with Docker, Kubernetes, CI/CD, and cloud environments. Good judgment about framework defaults, performance, and maintainability. Clear remote communication and the ability to own work from design through release.
What you get with Spring Boot
Pre-Vetted Expertise
Every Spring Boot developer on OctogleHire passes a rigorous vetting process covering technical skills, communication, and problem-solving ability.
Start in Days, Not Months
Skip the lengthy recruitment cycle. Our Spring Boot engineers are ready to integrate with your team and start delivering within days.
Up to 60% Cost Savings
Access world-class Spring Boot talent at a fraction of the cost of local hires, without compromising on quality or experience.
Risk-Free Trial Period
Every Spring Boot engagement starts with a trial period. If you're not completely satisfied, you pay nothing.
The engagement, as a spec sheet
How OctogleHire compares
Vetting
Resume screening only
Self-reported skills
5-stage technical vetting (1 in 25 pass rate)
Time to Hire
6–12 weeks
Weeks of filtering
48 hours to first match
Cost
$20K–$40K placement fees
Low rates, variable quality
40–60% less, no placement fee
Compliance
You manage it
You manage it
Fully managed (30+ countries)
Replacement
30–90 days (if any)
None
14–30 day replacement guarantee
Support
Account rep (9-5)
Ticket system
Dedicated account manager
“We in need of a handful of developers for our internal CRM build after speaking with multiple agencies and receiving some quotations we sat down with Yaseen from Octogle and we were pleasantly surprised to see what was available for us within their talent pool. we took on three developers saving upwards of circa £6000 per month and developing the software in record time exactly how we wanted it. Highly suggest anyone to use octogle hire if you’re looking for a cost-effective high-quality software development solution.”
Questions engineering leaders ask
Yes, when the team values mature tooling, long-term maintainability, and a large Java ecosystem. Spring Boot fits API services, internal platforms, enterprise workflows, and event-driven systems. It may be heavier than some alternatives for small edge functions, but it gives strong support for security, persistence, testing, observability, and operations when the service will live for years.
Test more than endpoint creation. Look for Spring Security, transaction design, database performance, testing with Testcontainers, observability, and production debugging. Ask candidates to explain auto-configuration, @Transactional pitfalls, JPA behavior, and how they handle retries and timeouts. A practical design exercise usually reveals more than trivia about annotations.
A mid-level engineer can implement a service from a clear ticket. A senior engineer shapes the design and understands failure modes. They define transaction boundaries, choose between MVC, WebFlux, and messaging, protect the database, design for observability, and make migration decisions. They also simplify Spring complexity for the rest of the team.
Use a freelance engineer for a defined migration, integration, feature build, or short-term capacity gap with clear ownership boundaries. Choose full-time when the person will own a domain, participate in architecture, carry production context, and mentor others. Spring Boot systems often benefit from continuity because persistence, security, and operational decisions compound over time.
It depends on the codebase, domain complexity, and onboarding quality. An experienced engineer can usually contribute small fixes quickly if the project builds cleanly, tests run locally, and documentation covers environments and release flow. Deeper productivity requires understanding data models, security rules, operational dashboards, failure patterns, and team conventions.
Spring Boot is strongest when you need a mature Java ecosystem, complex domain logic, robust security, and established database patterns. Node.js can move quickly for JavaScript-heavy teams. Go is attractive for small, efficient services. .NET is comparable in many enterprise contexts. The best choice depends on your existing stack, hiring market, operational model, and long-term ownership.
Yes, if the team keeps build, test, and run workflows consistent. Good remote Spring Boot teams use clear pull request standards, local Docker Compose or Testcontainers setups, documented profiles, reproducible migrations, and visible observability. Because Spring applications can hide behavior in configuration, remote teams should be explicit about architecture decisions and production runbooks.
Look for experience moving from Spring Boot 2.x to 3.x or newer, especially javax-to-jakarta package changes, Spring Security configuration updates, Hibernate behavior changes, dependency compatibility, and test fixes. Strong candidates plan migrations incrementally, use dependency reports, update observability and deployment settings, and verify behavior with integration tests rather than relying only on compilation.
You'll receive 3–5 vetted candidate profiles within 48 hours of your demo call. Most companies go from first intro to signed contract in under 5 business days — compared to 6–12 weeks with traditional agencies.
Every developer passes a 5-stage process: application screening, stack-specific technical assessment, live system design interview, soft-skills evaluation, and reference checks. From over 25,000 applicants reviewed, only 1,000 have been accepted into our network.
OctogleHire engineers start at £15/hr (about $19), with senior engineers at about £24/hr. That is roughly 50–65% less than the loaded cost of an equivalent in-house hire in the UK, US or Australia — a senior UK hire costs about £48/hr once employer costs are included. There are no upfront fees or placement commissions; you pay one published hourly rate once your engineer starts.
Every placement includes a risk-free replacement guarantee — 14 days on our On-Demand plan and 30 days on our Marketplace plan. If a developer doesn't meet your expectations, we'll find a replacement at no additional cost and manage the transition for you. Our replacement rate is under 6%.
Send the brief. Meet Spring Boot engineers on Thursday.
Twenty minutes with an Octogle engineer, then three to five scored profiles inside 48 hours. Free to post, with a replacement guarantee on every placement.