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Ripik.AI is seeking a DevOps Engineer in Noida to own the availability, reliability, and security of production infrastructure on AWS. You will manage CI/CD pipelines, monitor performance, and lead RCA-driven incident responses.
Expertise with Linux, Python, Bash, and AWS tooling is required to optimize costs and ensure disaster recovery readiness while collaborating with cross-functional teams. Office-based role in Noida Sector-16.
Ripik.ai is an Accel-backed Applied AI company building computer vision and process optimization agents for the world's largest industrial enterprises across steel, cement, aluminum, chemicals, pharma, and power. Our Vision AI platform acts as an automated pair of eyes on the shop floor — monitoring materials, equipment, and processes 24/7 with 95%+ accuracy, eliminating human error, and delivering measurable gains in throughput, yield, energy efficiency, and safety.
Ripik.ai is an Accel-backed Applied AI company building computer vision and process optimization agents for the world's largest industrial enterprises across steel, cement, aluminum, chemicals, pharma, and power. Our Vision AI platform acts as an automated pair of eyes on the shop floor — monitoring materials, equipment, and processes 24/7 with 95%+ accuracy, eliminating human error, and delivering measurable gains in throughput, yield, energy efficiency, and safety.
We work with marquee customers including Tata Steel, JSW, ArcelorMittal, Vedanta, Godrej & Boyce, Grasim, Holcim, and Jindal Steel, and are scaling globally across India, the Middle East, Europe, and North America. As we move into our next phase of growth, we are building the operating backbone that will take Ripik from a high-velocity scale-up to a category-defining global industrial AI company.
We are looking for a DevOps Engineer to own the availability, reliability, and security of Ripik's production infrastructure. You will manage our AWS environment end-to-end, build and maintain CI/CD pipelines that reduce manual deployment effort, keep a close eye on infrastructure performance and cost, and be the first responder when production incidents occur — diagnosing root cause and driving fixes. This role suits someone equally comfortable deep in an AWS console, writing a deployment script, and running a structured RCA after an incident.