Fullstack Engineer

We are looking for a highly skilled and motivated full-stack engineer to join our engineering team. In this role, you will be responsible for designing, developing, and maintaining large-scale, high-traffic applications and distributed systems. You will collaborate with geographically distributed teams across multiple countries, contribute to architecture decisions, and champion engineering best practices. A keen interest in AI-powered tooling and LLMs is a strong plus.

Responsibilities:

• Design, develop, and maintain scalable full-stack applications using Java (Spring Boot) on the backend and ReactJS on the frontend.
• Build and operate high-traffic, large-scale distributed systems with a focus on reliability, performance, and fault tolerance.
• Architect and manage containerised microservices on Kubernetes, ensuring smooth CI/CD pipelines and production deployments.
• Implement and optimise caching strategies using Redis to improve application throughput and latency.
• Design and manage relational database schemas and queries in MySQL, ensuring data integrity and query performance.
• Participate in system design discussions, code reviews, and architectural planning sessions to continuously raise the engineering bar.
• Collaborate closely with product managers, designers, QA engineers, and globally distributed engineering teams across time zones.
• Leverage AI-assisted development tools (e. g., Cursor, Claude) to accelerate delivery and improve code quality.
• Build, prototype, or contribute to AI-powered features, internal tools, or proof-of-concept (PoC) solutions using LLM capabilities.
• Mentor junior engineers; provide technical guidance and constructive feedback.
• Proactively identify and resolve production incidents, performance bottlenecks, and technical debt.

Requirements:

• Java and Spring Boot: 3 to 5 years of hands-on experience building production-grade REST APIs and microservices.
• ReactJS: Solid proficiency in building responsive, component-driven front-end applications.
• Kubernetes: Production experience deploying, scaling, and managing containerised workloads.
• Redis: Experience with caching, rate limiting, and session management patterns.
• MySQL: Strong command of schema design, query optimisation, indexing, and replication.
• Distributed Systems: Proven track record building and supporting large-scale, high-traffic applications.
• Communication: Excellent written and verbal communication skills; able to convey complex technical concepts clearly.
• Global Collaboration: Demonstrated experience working with geographically distributed teams across multiple countries and Eastern time zones.
• AI Tooling: Hands-on experience leveraging AI tools such as Cursor and Claude in day-to-day development workflows.
• AI/LLM Applications: Experience building AI-powered applications, solutions, or PoCs that leverage LLM capabilities.

Good to Have:

• GCP: Familiarity with Google Cloud Platform services such as GCS, GKE, IAM, Cloud Run, BigQuery, Dataproc.
• GoLang: Experience writing performant backend services or CLI tools in Go.
• LLMs and Generative AI: Deeper knowledge of LLM orchestration frameworks (LangChain, LlamaIndex), prompt engineering, RAG pipelines, or fine-tuning workflows.
• Observability: Experience with monitoring and alerting using tools such as Prometheus, Grafana, Datadog, or Cloud Monitoring.
• Event-Driven Architecture: Familiarity with Pub/Sub or similar messaging systems.