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Our agentic process automation platform helps enterprises automate complex, decision-heavy processes that traditional automation can’t handle and GenAI can’t be trusted with. We enable organizations to scale operations, resist hallucinations, and bring end-to-end visibility and control to your most complex processes. Powered by a new kind of computing platform, Maisa combines AI-driven problem solving with programmatic execution, so every action is reliable, auditable, and built for enterprise scale.
Job Responsibility:
Build APIs and backend services using Go (our primary language), implementing hexagonal architecture patterns
Design and optimize event-driven architectures with Apache Kafka as the microservices communication backbone
Work across PostgreSQL, MongoDB, and DocumentDB to ensure data consistency and performance
Contribute to our Docker and Kubernetes orchestrated microservices ecosystem
Implement gRPC, HTTP, and WebSocket protocols for service communication
Collaborate with AI teams to integrate LLM capabilities and reasoning engines
Work with GitHub Actions CI/CD pipelines and monitoring tools (Grafana, Prometheus)
Optimize systems for high-concurrency, auto-scaling, and enterprise reliability
Requirements:
Strong demonstrable commercial experience in backend development in modern cloud applications
Strong proficiency in Go or Python
Hands-on experience with Apache Kafka and event-driven architectures
Solid understanding of SQL/NoSQL databases and data consistency patterns
Experience with Docker and Kubernetes orchestration
Knowledge of microservices architecture and distributed systems
Experience with CI/CD pipelines and modern development workflows