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Software Engineer (Golang + Agentic AI)

Infoblox

Bengaluru

3-4 years

1 day ago

$24.1K–24.1K/yr

Full time

Hybrid

Skills Required

Agentic AI

AI-driven frameworks

AI-assisted development tools

APIs

C

C++

Docker

Go

Java

Apache Kafka

Kubernetes

NoSQL databases

Performance engineering

Relational databases

SaaS platforms

Description

Infoblox is seeking a Software Engineer to join their Universal Asset Insights team in Bangalore. The role involves developing scalable, reliable software for cloud-hosted data pipelines and asset discovery integrated with network services.

Company: Infoblox

Role: Software Engineer

Location: Bangalore

Experience

- 3 years of experience in software development using Golang/Go, Java, C++, or C
- Experience leveraging microservices-based Docker, Kubernetes, Kafka
- Experience designing and building large-scale SaaS platforms including network management, asset management, ETL, and data pipelines
- Experience with performance engineering in large-scale pipelines and resolving production incidents

Qualification

- Bachelor’s degree in computer science, computer engineering, or electrical engineering
- Master’s degree preferred

Responsibilities

- Develop cloud-hosted data pipelines for ingestion, transformation, and normalization
- Build extensible framework for low-code/no-code integrations
- Collaborate with cross-functional and global engineering teams to design reusable software components
- Drive productivity and innovation through adoption of agentic/AI platforms in SDLC
- Integrate agentic infrastructure into core product capabilities including MCP servers, agents, sub-agents, and reusable AI




- Shape product architecture and software design for scalability, extensibility, and reliability
- Stay updated on trends in asset insights, no-code/low-code remediation, data transformation, ETL, and agentic AI

Additional Responsibilities

- Work closely with Product Management and Engineering leadership to execute product roadmap and engineering goals
- Participate in code and design reviews
- Drive improvements in integration extensibility, scalability, and developer productivity
- Collaborate effectively with cross-functional teams across global time zones
- Use AI-assisted development tools to support development, code optimization, debugging, testing, and process improvement

Nice To Have

- Master’s degree in computer science, computer engineering, or electrical engineering

More Skills Golang/Go, Microservices, Data modeling, System architecture and design, Time-series databases, Graph databases, Agentic and AI-driven frameworks, Networking technologies, DNS, DHCP, IPAM, CTEM, CAASM, ITSM

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