About the position
Join the dynamic team at Kaseya as a Staff AI Platform Engineer. Build high-performance backend systems that power intelligent AI agents, delivering low-latency, high-throughput microservices for communication, orchestration, and analytics. You’ll engineer backend infrastructure with carrier-grade reliability and scale, enabling real-time agent workflows and seamless integration across the platform. Your work will be critical to ensuring the speed, resilience, and intelligence of our next-generation AI systems.
Responsibilities
- Design, build, and maintain scalable backend microservices that support AI agent communication, orchestration, and data processing
- Develop high-throughput, low-latency APIs and services with a focus on reliability, observability, and fault tolerance
- Design and implement distributed, domain-oriented data architectures and domain-aligned data mesh framework
- Implement real-time data ingestion pipelines, streaming systems, and metadata cataloging solutions to support intelligent agent workflows
- Ensure secure, scalable, and resilient backend infrastructure using modern cloud-native technologies
- Collaborate with AI, frontend, and infrastructure teams to deliver seamless end-to-end platform capabilities
- Optimize system performance and reliability through rigorous testing, monitoring, and chaos engineering practices
Requirements
- 5-7+ years of experience in backend or platform engineering
- Mastery of Python, Java, or Go
- Experience building and scaling RESTful and gRPC APIs for high-volume traffic
- Advanced database design and optimization skills across SQL (PostgreSQL, MySQL) and NoSQL (Cassandra, MongoDB, DynamoDB, vector databases)
- Deep experience with cloud-native services (AWS, Azure, or GCP)
- Expertise in container orchestration (Docker/Kubernetes)
- Experience with real-time data streaming technologies (Kafka, Pulsar, Kinesis)
- Strong understanding of distributed systems principles (consistency, availability, partition tolerance)
- Experience implementing robust authentication/authorization (OAuth 2.0, OpenID Connect, SAML)
- Proven track record implementing domain-oriented data products and self-serve data infrastructure
- Familiarity with service mesh technologies (e.g., Istio, Linkerd)
- Bachelor's degree in Computer Science, Software Engineering, or a related field
Nice-to-haves
- Master's degree or certifications in Cloud Architecture, Distributed Systems, or Backend Engineering (e.g., AWS Certified DevOps Engineer, GCP Professional Cloud Developer)
- Expertise in building fault-tolerant and self-healing systems
- Performance optimization for ultra-large scale, low-latency systems
- Knowledge of advanced distributed consensus algorithms
- Experience with WebAssembly (WASM) for performance-critical components
- Experience building real-time collaborative features (e.g., WebSockets, CRDTs)
- Background in chaos engineering and designing for resilience
- Experience developing for multi-cloud or hybrid cloud environments
- Familiarity with high-performance database technologies (e.g., ScyllaDB, TimescaleDB)
