Technical Consultant

Join Zafin, a leading SaaS provider in the financial services industry. As a Technical Consultant, you will play a key role in enabling successful client adoption of Zafin solutions. You will leverage modern cloud, integration, automation, and AI technologies to accelerate project delivery and drive operational excellence. You will act as the primary technical consultant for SaaS onboarding and implementation projects, design and implement scalable integration architectures, and contribute to product enhancements. This is a hybrid position with flexible work arrangements and meaningful recognition for your contributions.

• Act as the primary technical consultant for SaaS onboarding and implementation projects, designing and implementing scalable integration architectures.
• Leverage AI-assisted development and productivity tools to accelerate solution delivery, troubleshooting, documentation, and testing activities.
• Lead the identification, isolation, resolution, and communication of technical issues within client environments, supporting performance tuning and operational best practices.
• Knowledge of integration frameworks commonly used by SaaS applications
• Strong understanding of network protocols, security architectures, and integration technologies
• Strong knowledge of application, data, and cloud integration patterns
• Deep understanding of API-first architectures and API-based integrations
• Experience delivering at least one end-to-end SaaS implementation project
• Experience creating architecture and solution designs using modeling tools
• Experience designing scalable end-to-end integration architectures
• Experience with Kubernetes, Docker, PostgreSQL, and distributed application architectures
• Strong working knowledge of Azure, AWS, and/or GCP cloud platforms and integration services
• Experience with clustering, scalability, and high-availability configurations
• Microsoft Azure Fundamentals certification or equivalent cloud knowledge
• Java
• PostgreSQL
• 5+ years of application and data integration experience
• Experience working in Agile delivery environments
• Spring Boot
• Self-starter with an ownership mindset and passion for continuous improvement
• Kubernetes
• Hands-on development experience with:
• Strong problem-solving and analytical skills
• Docker
• Ability to communicate complex technical concepts to technical and non-technical stakeholders
• Ability to identify opportunities for intelligent automation and AI-enabled process improvements
• Experience using AI-assisted development, testing, documentation, or productivity tools (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, or similar)
• Familiarity with AI governance, security, and responsible AI principles
• Understanding of AI/LLM capabilities, limitations, and practical applications within software delivery and consulting
• Degree in Computer Science, Engineering, or equivalent practical experience
• Exposure to Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or enterprise AI platforms
• Experience with AI-powered software development and DevOps workflows
• Experience building integrations involving AI services and APIs
• Application development experience in large enterprise IT environments
• Automation testing experience (JUnit or similar frameworks)
• Experience with Test-Driven Development (TDD) and Behavior-Driven Development (BDD)
• Experience with observability and monitoring platforms
• Cloud certifications (Azure, AWS, or GCP)
• Experience working in financial services or enterprise SaaS environments