Bengaluru, Karnataka, India · On-site
$4000k–$7000k/yr
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 infrastructu…
Skills: Kubernetes, Terraform, AWS, GCP, MLOps
Bengaluru, Karnataka, India · Remote OK
$20k–$65k/yr
AI Research Scientist Location: Bengaluru/Ireland About Disseqt The assurance layer for enterprise AI governance Ops. Test before deployment, protect at runtime, monitor after go-live covering jailbreaks, bias, hallucina…
Skills: Machine Learning, AI Safety, Adversarial ML, LLM Red Teaming, Python
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Lead the design and operation of cloud, ML, and data infrastructure to ensure reliability and scalability for AI governance. Manage internal developer platforms, delivery pipelines, and cloud cost optimization in a player-coach capacity.
Requires over 10 years of experience in infrastructure or DevOps with a proven track record of scaling systems from early-stage to production. Must have deep hands-on expertise with Kubernetes, Terraform, and ML infrastructure.
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.
You'll own everything that keeps Disseqt running, scaling, and shipping fast. 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.
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 environment 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
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 operated ML infrastructure - model serving, MLOps pipelines, GPU infra
Experience building and operating data infrastructure at scale - pipelines, streaming (Kafka/Flink), data lakes, or warehouse tooling
Strong CI/CD and delivery pipeline experience at scale
Proven track record of scaling systems - you've taken infrastructure from early-stage to high-throughput production
Security-first mindset - DevSecOps is second nature
Cloud cost management - you've owned a budget and optimized it
Startup experience preferred - comfortable with ambiguity and building from scratch
Excellent communicator - can translate infra complexity to product and business stakeholders
Experience with AI governance, compliance, or regulated enterprise environments
Familiarity with LLMOps and agentic AI deployment patterns
FinOps certification or equivalent hands-on cost engineering experience
Greenfield infra - build it right from the start
AI-era problems - GPU clusters, inference pipelines, agent deployment, data at scale
Lean team, high ownership
Backed by a mission: Ship Responsible AI
AI Assurance Layer for Lean Agentic Enterprises
At Disseqt AI, we are building the assurance layer for lean agentic enterprises. Our mission is to empower builders with full-stack AI Governance platform. Using our platform IT teams have augmented governance in their agentic applications with 80% more productivity and at 70% lesser cost. Disseqt is backed by top VCs and is part of 500 Global , Global Launch Program - Silicon Valley
Offices: Dublin, IE
AI Assurance Layer for Lean Agentic Enterprises
At Disseqt AI, we are building the assurance layer for lean agentic enterprises. Our mission is to empower builders with full-stack AI Governance platform. Using our platform IT teams have augmented governance in their agentic applications with 80% more productivity and at 70% lesser cost. Disseqt is backed by top VCs and is part of 500 Global , Global Launch Program - Silicon Valley
Offices: Dublin, IE
