Senior Platform & SRE Engineer (On-Prem & AI Systems)
Location: Bengaluru / Hybrid

Team: Platform Engineering & Infrastructure
We are building lean, agentic AI systems and enterprise-grade developer platforms designed for IT and DevOps teams who need reliable, secure, and cost-effective AI deployments. Our products run in cloud, hybrid, and fully on-prem environments, enabling enterprises to streamline testing, monitoring, compliance, and operational efficiency.
As a Senior Platform & SRE Engineer (On-Prem & AI Systems), you will own the infrastructure layer that powers all our AI services. You will design scalable, secure, and fault-tolerant settings, orchestrate on-prem deployments for enterprise customers, and ensure platform reliability across cloud + customer VPC setups. This role sits at the intersection of infrastructure engineering, DevOps, SRE, and AI system deployment.
You will define the platform architecture, build automation, improve observability, optimize performance, and work closely with product and ML teams to enable rapid,



reliable delivery of our AI-driven features.
This role is for engineers who think in systems, automate everything, and thrive in environments where reliability, security, and efficiency are non-negotiable.

What You’ll Own
End-to-end infrastructure architecture for cloud and on-prem deployments
Scalable, reproducible deployments of AI, ML, and microservice workloads
SRE responsibilities: uptime, SLO/SLA definitions, incident response, postmortems
Build and manage CI/CD pipelines, GitOps workflows, automated release processes
Implement observability stacks (OpenTelemetry, Prometheus, Grafana, ELK)
Optimize platform performance, CPU-based model serving, cost efficiency
Security-first infrastructure design: secrets, IAM, isolation, least-privilege access
Create reusable Terraform/Helm/Ansible modules
Collaborate with backend, ML, and product teams on platform-level decisions
Drive operational excellence acro

📌 Senior Platform Bengaluru
🏢 Disseqt AI
📍 Bengaluru