Location : Bengaluru, India · Full time
About Disseqt
Disseqt is the assurance layer for enterprise AI governance - helping organizations test, protect, and deploy responsible AI at scale. We're building the infrastructure that makes AI governance real, not shelfware. As we scale rapidly, we're looking for a hands-on engineering leader to own the foundation we are building on.
The Role
You'll own everything that keeps Disseqt running, scaling, and shipping quick. Infrastructure, platform tooling, delivery pipelines, ML infra, data infrastructure, cloud costs and the ability to scale all of it as we grow. This is a player-coach role: you'll lead a lean team but stay deeply hands-on.
What You'll Own
Cloud Infrastructure - Design, build, and operate our cloud environment (AWS/GCP). Reliability, scalability, and cost efficiency are your north star
ML & AI Infrastructure - Model serving, inference optimization, vector databases, GPU resource management, and MLOps pipelines
Data Infrastructure - Own the data platform layer: pipelines, storage, lakehouse architecture,



real-time streaming, and data reliability. Ensure data flows cleanly across our AI and product stack
Platform Engineering - Internal developer platform, Kubernetes, CI/CD tooling, and developer experience
Delivery Pipelines - Enterprise-grade release pipelines, deployment automation, and workplace management
DevSecOps - Security embedded into every pipeline and infrastructure layer not bolted on
Scale & Reliability - Design for scale from day one. SLO definitions, SRE practices, incident response, and the ability to go from startup to enterprise-grade without rebuilding everything
Cost Engineering - Cloud spend ownership, FinOps practices, resource optimization

What We're Looking For
10+ years in infrastructure, platform, or DevOps engineering - with at least 2–3 years in a leadership role
Deep hands-on experience with Kubernetes, Terraform, and major cloud platforms (AWS/GCP)
Built or

📌 Head Of Infrastructure Bengaluru
🏢 Disseqt AI
📍 Bengaluru