GFT Technologies is a global leader in driving the digital transformation of the world’s foremost financial institutions. Our expertise extends to other sectors such as industry and insurance, where we leverage our robust consulting and implementation skills across pioneering technologies, including cloud engineering, artificial intelligence, the Internet of Things for Industry 4.0, and blockchain. With our deep technological expertise, strong partnerships, and scalable IT solutions, GFT enhances productivity in software development, providing clients with faster access to new IT applications and innovative business models while mitigating risk.

Since 2001, we have been pioneers of near-shore delivery, now boasting an international team spanning 16 countries and a global workforce of over 9000 professionals. GFT is recognized by industry analysts such as Everest Group as a leader among global mid-sized Service Integrators and ranks in the Top 20 for leading global Service Integrators in exponential technologies like Open Banking, Blockchain, Digital Banking, and App Services.

Role Summary

We are looking for experienced and talented (Senior) Java Backend Engineer to join our global engineering teams and developing and operating our flagship product (Digital Bank platform). In our modern development environment, AI assistants are integral to the Software Development Lifecycle. Engineers leverage AI tools for code generation, test creation, and refactoring, while focusing their expertise on architecture, code verification, quality assurance, and strategic technical decisions. 

This is a hybrid role where you'll function as part Business Analyst, part QA Engineer, and Full-time Developer. You'll need to understand business processes deeply, communicate technical designs confidently with Product Owners and BA, and ensure quality throughout the development cycle. 

Key Responsibilities 

• Design system architecture and guide AI-assisted implementation of Springboot/kotlin applications 

• Review, verify, and refine AI-generated code to ensure quality, security, and maintainability 

• Collaborate with Product Owners and BA to understand requirements and business processes. 

• Collaborate with AI tools to translate user stories into working solutions efficiently 

• Communicate technical designs, trade-offs, and solutions confidently to non-technical stakeholders 

• Challenge and clarify requirements with curiosity dig deep into the "why" behind business needs 

• Validate AI-generated test suites and ensure comprehensive coverage using TDD and DDD principles 

• Own quality assurance by designing test strategies and verifying implementation correctness 

• Design and architect RESTful APIs and microservice patterns, directing Al implementation 

• Provide technical oversight and architectural decisions for AI-assisted development 

• Conduct thorough code reviews of both human and AI-generated code 

• Work with distributed teams across multiple time zones 

Requirements: 

Technical Qualifications: 

• Minimum 6+ years of relevant experience in software engineering. 

• Java/Kotlin (Kotlin strongly preferred), SpringBoot, JPA, Kafka, Rest APIs. 

• Hands on experience with various Java Web technologies and frameworks Spring (Security, MVC, SpringBoot) JPA, REST API, Maven, Junit test, Mockito, Kafka. 

• Good practical knowledge of design of RDBMS and SQL 

• Understanding of Agile methodologies 

AI-Augmented Development Skills: 

• Experience with AI-assisted development tools (GitHub Copilot, Claude Code, or similar) 

• Ability to write effective prompts and context for AI code generation 

• Strong code review and verification skills for AI-generated implementations 

• Critical thinking to assess AI suggestions and identify potential issues 

• Expertise in validating AI-generated tests for completeness and edge case coverage 

• Understanding of AI limitations and when to override or refine AI outputs 

• Ability to architect solutions that AI can effectively implement 

Specific Qualifications 

• Excellent communication and written skills. Be able to work in a team 

• Strong analytical and problem-solving abilities to guide AI assistance 

• Understanding of financial instruments 

• Adaptability and willingness to learn new AI tools and workflows 

• Judgment and discernment in accepting, modifying, or rejecting AI-generated code 

Essential Skillset 

• Automated unit and integration testing. (jUnit, mockito etc.) 

• Gradle build systems 

• Data structures and algorithms - dictionary, list, set, trees, graphs 

• Control-flow patterns and microservice architecture design 

• Database fundamentals: joins, indexes, foreign keys, primary keys, query optimization 

• Relational DB, NoSQL, graph DB, and ACID properties 

• System design and architectural patterns 

• Protocols & standards (OpenAPI, AVRO, Protobuf) 

• SOLID principles and event-driven architecture 

• DevOps and infrastructure fundamentals 

• Messaging queues, Docker/Compose 

• Kubernetes (pods, ConfigMaps, deployments, services) 

• Git workflows (GitHub), CI/CD pipelines, code quality tools (Sonar) 

• Security fundamentals and secure coding practices 

• Ability to verify security vulnerabilities in AI-generated code 

Nice to have 

• Advanced AI tool proficiency (Claude Code etc.) 

• Experience integrating AI tools into team workflows 

• Cloud platforms (AWS) 

• Log management tools (Splunk, SumoLogic, ELK) 

• Infrastructure architecture (DNS, load balancers, CDNs) 

• Security: SSL/MTLS, PKI, asymmetric/symmetric encryption, OAuth, JWT 

• GraphQL, Airflow, TypeScript, Python 

• Contribution to open-source projects or AI tool customization 

• Experience with prompt engineering and context optimization 

What Makes You Successful in This Role: 

• You view AI as a powerful co-pilot, not a replacement for engineering judgment 

• You excel at architectural thinking and can design systems for AI to implement 

• You have a keen eye for code quality and can quickly spot issues in generated code 

• You understand the "why" behind the code, not just the "what" 

• You're comfortable iterating with AI tools to achieve optimal solutions 

• You can mentor others in effective AI-assisted development practices 

• You maintain high standards for code quality regardless of its source 

Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding.