Engineering expertise
The skills your next release needs.
From backend services and automated testing to deployment pipelines, we help you bring the right engineering expertise into your team.
Java Backend Engineering
Build and evolve the services your product depends on. Our engineers work on APIs, integrations, microservices and event-driven systems, with attention to performance, maintainability and production reliability.
- Backend development with Java and Spring.
- REST APIs and third-party integrations.
- Microservices and monolith modernization.
- Kafka and asynchronous processing.
- Database optimization and transactional workflows.
- Production troubleshooting and technical improvements.
Core technologies
- Java
- Spring Boot
- Spring WebFlux
- PostgreSQL
- Redis
- Kafka
- Docker
- Kubernetes
QA Engineering & Automation
Build confidence in every release. Our QA engineers combine product understanding, practical test strategy and automation to help your team identify issues earlier and maintain meaningful coverage.
- Test automation frameworks built from scratch.
- UI, API and end-to-end testing.
- Contract and integration testing.
- Mobile testing and cross-browser validation.
- Exploratory testing and release verification.
- Automated checks and reporting integrated into CI/CD.
Core technologies
- Playwright
- TypeScript
- Selenium
- Selenide
- Cypress
- REST Assured
- TestNG
- Appium
- BrowserStack
DevOps & Delivery Infrastructure
Give your engineers a dependable path from development to deployment. We help teams automate delivery, maintain consistent environments and improve visibility into their systems.
- CI/CD pipeline implementation and optimization.
- Containerization and environment setup.
- Deployment and infrastructure automation.
- Infrastructure for automated testing.
- Kubernetes environments.
- Monitoring, logging and operational troubleshooting.
Core technologies
- Docker
- Kubernetes
- Jenkins
- GitHub Actions
- GitLab CI/CD
- AWS
- Azure DevOps
- Argo CD
Technology stack
Expertise across the team, by discipline.
The technologies listed represent expertise across our team. We match individual engineers to your project’s stack, required seniority and scope of work.
Java Backend Engineering
- Languages
- Java
- Python
- JavaScript
- Spring ecosystem
- Spring Framework
- Spring Boot
- Spring Cloud
- Spring WebFlux
- Spring Batch
- Spring Data JPA
- Spring Security
- Persistence
- Hibernate
- JDBC
- Reactive programming
- Project Reactor
- APIs & communication
- REST APIs
- GraphQL
- OpenAPI / Swagger
- WebSockets
- WebRTC
- Messaging & integration
- Apache Kafka
- RabbitMQ
- ActiveMQ
- JMS
- Databases & search
- PostgreSQL
- MySQL
- Oracle Database
- SQL Server
- MongoDB
- DynamoDB
- Neo4j
- Redis
- Elasticsearch
- Testing
- JUnit
- TestNG
- Mockito
- WireMock
- Testcontainers
- Cucumber
- Serenity BDD
- Build tools
- Maven
- Gradle
- Ant
- Authentication & authorization
- JWT
- Spring Security
QA Engineering & Automation
Application types covered
- Web applications
- Native mobile applications
- Hybrid mobile applications
- Languages
- Java
- TypeScript
- JavaScript
- Python
- Web automation
- Playwright
- Selenium WebDriver
- Selenide
- Cypress
- Test frameworks & BDD
- JUnit
- TestNG
- pytest
- Jest
- Cucumber
- Serenity BDD
- API & integration testing
- REST Assured
- Postman
- OpenAPI / Swagger
- WireMock
- Testcontainers
- Mobile testing
- Appium
- XCUITest
- Appium XCUITest Driver
- BrowserStack
- Mobile tooling
- Xcode
- Android Studio
- Android SDK
- Database validation
- PostgreSQL
- MySQL
- Oracle Database
- SQL Server
- Messaging validation
- Apache Kafka
- RabbitMQ
- Build & execution
- Maven
- Gradle
- Docker
- Jenkins
- GitHub Actions
- GitLab CI/CD
DevOps & Delivery Infrastructure
- Cloud platforms & services
- AWS
- Amazon EC2
- Amazon S3
- Amazon CloudWatch
- Containers & orchestration
- Docker
- Kubernetes
- CI/CD & GitOps
- Jenkins
- GitHub Actions
- GitLab CI/CD
- Azure DevOps
- Argo CD
- Monitoring & logging
- Amazon CloudWatch
- ELK Stack
- Code quality
- SonarQube
- Scripting
- Python
- Version control
- Git
Additional engineering experience
Beyond the three core disciplines, engineers on our team have worked with front-end and real-time media technologies. This is supporting experience, not a separate service line.
- HTML
- CSS
- JavaScript
- React
- Angular
- WebRTC
- WebSockets
- FFmpeg
AI-assisted engineering
Engineering expertise. Supported by AI.
Our engineers use Claude, Claude Code and OpenAI Codex to support development, testing and technical investigation. AI-assisted work follows the same engineering standards as any other contribution: human review, automated checks and validation against project requirements.
Tools
- Claude
- Claude Code
- OpenAI Codex
AI tools are used in line with your organization’s policies and agreed data-access rules.
- Development & Refactoring
- Support implementation, explore existing code and prepare refactoring changes with AI assistance. Engineers assess each change against the architecture, requirements and maintainability of the project.
- Test Design & Automation
- Draft test scenarios, identify edge cases and assist with UI and API automation. Engineers verify assertions, test data and coverage against actual product behavior.
- Debugging & Technical Investigation
- Use AI to help interpret errors, examine code paths and develop hypotheses. Validate proposed explanations through reproducible checks and observable results.
- Documentation & Delivery Workflows
- Assist with technical documentation, change summaries and CI/CD configuration drafts. Review the output and verify executable changes before adoption.
Engineers remain accountable for the code, tests and technical decisions delivered to your project.
Team support
More expertise within reach.
Software delivery often crosses disciplines. A backend change can affect test coverage. A failing pipeline can slow a release. An integration issue can require input from several engineers.
Depending on your engagement, your dedicated engineer can draw on colleagues across Backend, QA Automation and DevOps.
- Technical Mentoring & Code Review
- Support for implementation decisions, code quality and the development of less experienced team members.
- QA & Test Automation Support
- Input on test coverage, automation design, integration checks and release validation.
- DevOps & Pipeline Support
- Help with build pipelines, test environments, containerization and deployment workflows.
- Engineering Consultation
- Additional perspectives on technical problems that extend beyond one specialist’s discipline.
The scope and availability of supporting expertise are agreed as part of your engagement.
Contact
Tell us what your team needs next.
Looking for a Java Backend, QA Manual, QA Automation, DevOps, Front-End or AI engineer, or a small engineering team? Share your technical stack, current challenges and preferred start date. We will discuss relevant profiles and a suitable engagement model.