4 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Define and evolve the end-to-end architecture for core AI-native platform services and distributed systems.
- Own architectural decisions involving service orchestration, data flows, platform extensibility, scalability, reliability, security, privacy, and operational excellence.
- Drive architectural reviews, RFCs, long-term technical planning, and cross-system workflow design across teams.
- Set technical direction for cloud-native compute, storage, networking, deployment, containerization, orchestration, and Infrastructure-as-Code.
- Design and build foundational APIs, frameworks, abstractions, platform contracts, and reusable developer-enablement components.
- Own production readiness for mission-critical components, including availability, latency, scalability, fault isolation, observability, alerting, and incident response.
- Define and enforce SLAs, SLOs, reliability standards, and operational maturity practices.
- Mentor Staff and Senior engineers and influence technical strategy across the organization through hands-on execution.
Requirements
- 12+ years of experience designing, building, and operating large-scale, production-grade software systems.
- Proven ownership of complex distributed systems or platform architectures.
- Deep expertise in cloud-native systems, service-oriented design, and distributed architectures.
- Strong hands-on experience with Docker, Kubernetes, and modern cloud platforms.
- Expert understanding of software design principles, clean code practices, and system-level trade-offs.
- Strong proficiency in Python and deep experience with at least one of Java, Go, or JavaScript.
- Demonstrated ownership across design, implementation, testing, deployment, and operations.
- Experience with Terraform, CloudFormation, or equivalent Infrastructure-as-Code tools.
- Strong understanding of observability, metrics, logging, and distributed tracing.
- Experience with event-driven systems, streaming platforms such as Kafka, and SQL and NoSQL databases.
- Familiarity with enterprise security, access control, compliance considerations, and cross-system workflows.
- Hands-on experience with BPMN-based or workflow-driven systems.
- Experience supporting AI/ML or data-intensive workloads, MLOps, AI service deployment, or production integration of LLMs, agents, retrieval, or evaluation pipelines is strongly preferred.
Benefits
- Opportunity to build a foundational enterprise AI platform and production-grade AI systems.
- Company is headquartered in Los Altos, California; no remote or hybrid arrangement is stated.
About JazzX AI
JazzX AI builds AI-native digital workers that execute governed, explainable workflows for enterprises, starting with lending and due-diligence processes. The company offers enterprise software and AI infrastructure to capture expert judgment, automate decisions, and run complex, regulated operations at scale. Founded in 2024 and privately held, it is based in California and backed by SAI Group.