What you’ll do
Design and develop cloud hosted Data ingestion, transformation, normalization pipeline built to scale, perform and reliable
Design and build extensible framework that enables low-code/no-code integrations, allowing customers and partners to build new asset sources
Lead cross functional & global engineering teams to collaborate on building re-usable software components that can be delivered as a platform
Drive productivity & innovation through adoption of Agentic/AI Platforms in SDLC including Design, Development, QA, Automation, Deployment, Observability, Maintenance & troubleshooting
Drive Product innovation through adoption of Agentic infrastructure into Product core capabilities including building & productizing MCP Servers, Building Agents, sub-agents, skills etc.
Provide technical leadership to steer product architecture and software design, ensuring the delivery of a scalable, extensible, and reliable system
Collaborate cross-functionally with Product Management and Marketing on roadmap, documentation, and other collateral
Stay up to date on key trends in asset insights, no-code/low-code approaches for remediation, data transformation, ETL, agentic AI, etc.
What you’ll bring
8+ years of experience in software development using Golang/Go, Java, C++, or C, leveraging microservices-based Docker, Kubernetes, Kafka
8+ years of experience building large scale SaaS-based Network Management, ETL, asset management, data pipelines with ingestion, transformation & persistence, projection, API & presentation layers
Excellent working knowledge of Data Modeling, APIs, System Architecture & design
Excellent understanding of relational, time-series, NoSQL, Graph databases
Strong hands-on expertise applying agentic and AI‑driven frameworks to elevate engineering productivity, optimize performance, and strengthen system reliability including building Agents, Sub-agents, MCP Servers, Skills etc.
Strong hands-on experience with performance engineering in large scale pipelines and active participation in resolving production incidents
Good understanding of networking like switching, Routing, Security and preferably DNS, DHCP, IPAM, CTEM, CAASM, ITSM
Excellent communication and collaboration skills to work effectively with cross-functional teams across different time zones
Bachelor’s degree in computer science, computer engineering, or electrical engineering required; master’s degree preferred
