Getinz

Backend Engineer

• Design & Development: Develop backend services and microservices using Java, Spring Boot, and RESTful APIs.
• Build and optimize serverless applications using AWS Lambda.
• Integrate AWS services (EC2, S3, Connect) into application workflows.
• Work with Kafka and SQL databases for data streaming and persistence.
• Collaboration & Delivery: Partner with architects, business analysts, and QA teams to deliver robust solutions.
• Translate business requirements into high-performance, scalable, and secure applications.
• Participate in Agile ceremonies (daily standups, sprint planning, retrospectives).
• Support deployments and ensure CI/CD best practices are followed.
• Innovation & Optimization: Identify opportunities to optimize cloud costs, performance, and scalability.
• Recommend adoption of modern cloud-native tools and technologies.
• Troubleshoot and resolve technical issues during development and production.

Java, AWS

• Design, develop, and maintain scalable backend applications using Java and Spring Boot
• Build and deploy microservices for high-performance, distributed systems
• Implement event-driven architectures and real-time data pipelines using Apache Kafka
• Design and integrate secure, efficient RESTful APIs and Java-based APIs
• Collaborate with front-end teams (Angular/React) to deliver seamless user experiences
• Write clean, testable, and maintainable code following best practices
• Participate in code reviews, debugging, and performance optimization
• Contribute to architecture discussions and propose innovative solutions
• Work with DevOps teams to ensure smooth CI/CD pipelines and deployment

Java Backend Developer

• Designing, building, and managing backend APIs and systems at scale.
• Leading data engineering projects: transforming messy, unstructured data from multiple sources into structured, reliable systems.
• Profiling and optimizing slow database queries and API endpoints.
• Developing media and streaming integrations with tools like Zoom, Slack, and Discord to support immersive learning.
• Building internal tools that enhance productivity for non-engineering teams (e.g., marketing, product).
• Contributing to open-source projects — starting small and growing your contributions over time.

Full-stack Engineer

• Lead design and development of next-generation data pipelines enabling near real-time ingestion and processing of massive datasets.
• Architect and build scalable, fault-tolerant, low-latency data pipelines for real-time/near real-time processing.
• Partner with cross-functional teams to design innovative solutions for complex data and security problems.
• Evaluate, adopt, and contribute to open-source technologies that enhance the data platform ecosystem.
• Influence product and engineering teams by providing guidance on architecture and platform best practices.
• Act as a thought leader, driving technical direction and innovation within the data engineering domain.
• Collaborate with global teams and strengthen technical and architectural depth.

Java, AWS

Java Backend Developer

Backend Engineer

Principal Engineer, Data Platform