Kandji is looking for a Staff Software Engineer to shape the architecture, tools, and development processes for one of its product lines, focusing on reliability, scalability, security, and AI-powered capabilities.
Requirements
- 8+ years of professional software engineering experience.
- Strong proficiency in backend programming languages (e.g., Python, Go, Java, or similar).
- Experience with event-driven architectures and message brokers (e.g., Kafka, Kinesis, RabbitMQ).
- Deep understanding of service-oriented architecture and microservices best practices.
- Proficiency with cloud platforms such as AWS or GCP.
- Hands-on experience with CI/CD pipelines, infrastructure automation, and deployment strategies.
- Experience with Docker and container orchestration platforms such as Kubernetes or ECS.
Responsibilities
- Architect and implement reliable, scalable backend services to support the application, including services that power AI/LLM-driven functionality.
- Partner with the infrastructure team to evolve CI/CD pipelines, service deployment patterns, and AI model/service integration pipelines.
- Lead technical development with knowledge of up-to-date best practices, and guide other engineers through code reviews, architectural discussions, and technical decision-making.
- Build systems that handle growth gracefully and are resilient to failure across distributed environments, including AI-inference workloads.
- Contribute to the adoption and evolution of event-driven architectures and asynchronous service communication using tools like Kafka or similar.
- Ensure our tooling provides developers with the best environment to develop locally, test, and ship their code, including local AI testing workflows.
- Proactively identify bottlenecks and technical debt, leading efforts to improve platform stability, AI performance, and user experience
Other
- Required to work on-site in our Coral Gables office Monday - Friday.
- Prior experience in a fast-paced startup environment.
- Ability to identify problems/opportunities, break them down into critical parts, and design scalable solutions.
- Strong knowledge of RESTful APIs and/or gRPC.
- Experience writing unit and integration tests to ensure high-quality software.
