Senior Software Engineer - IT Infrastructure

About the role

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Automation, and AI-driven Reliability Platform.

This role involves developing and implement innovative architecture and software for large-scale storage and backup services, ensuring continuous availability, performance, and self-service for all key services supporting our AI/ML, Software and engineering teams. This position offers a rare chance to contribute to revenue-driving initiatives and the foundation of our engineering services.

What you'll be doing:

- Develop and manage enterprise-scale platforms that unify storage infrastructure and services, integrating enterprise appliances, networks, and open-source technologies.

- Develop and scale REST APIs in Python/Go, enabling thousands of engineers to seamlessly run on-demand storage workflows.

- Automate storage operations — provisioning, monitoring, metrics, telemetry, and solving — ensuring high reliability and performance.

- Integrate intelligent observability and tracing into workflows to improve accuracy, reduce latency, and optimize efficiency across infrastructure services.

- Implement agentic workflows that empower self-healing, proactive remediation, and automation to decrease operational overhead.

- Build proof-of-concept integrations between infrastructure services and emerging agentic AI frameworks, laying the foundation for intelligent infrastructure platforms.

- Document practices and procedures, evaluate new technologies, and drive adoption of next-gen automation in enterprise storage services.

What we need to see:

- BS in Computer Science (or equivalent experience) with 12+ years of relevant experience, MS with 10+ years, or Ph.D. with 8+ years.

- Extensive expertise building large-scale, multi-threaded, distributed backend systems.

- Experience designing and building RESTful APIs using Python or Go.

- Familiarity with containerization & orchestration (Docker, Kubernetes).

- Exposure to cloud platforms (AWS, Azure, GCP).

- Experience with telemetry stacks (Prometheus, Grafana, Alert manager, ELK/Kibana).

- Ability to collaborate across teams and communicate technical solutions effectively.

- Growth mindset to quickly adopt new frameworks in observability, AI automation, and infrastructure management.

Ways to stand out from the crowd:

- Contributions to open-source projects (infrastructure, storage, or Python-based libraries).

- Strong background in Linux storage systems and solving at enterprise scale.

- Experience with Enterprise NAS (NetApp, Pure Storage), distributed filesystems (Lustre, GPFS, Ceph), or S3-compatible object storage.

- Experience with GenAI/agentic application frameworks (LangChain, LlamaIndex, AutoGen) or observability platforms (LangSmith, Arize Phoenix, W&B Weave).