Karnataka Platform engineer ai infrastructure Jobs – 2767 Open Jobs Today

Founding Cloud Infrastructure Engineer (AI Platform)
Valerie Group —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Master's degree
- Databases
- AWS
Quick apply
Platform Engineer - AI Infrastructure
Sarvam —Bengaluru, Karnataka
- Full-time
- Plumbing
- APIs
- AI
Quick apply
10d
Senior AI/ML Engineer
Optum —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Research
- Health insurance
Senior Platform Engineer – GPUaaS, Data Infrastructure and Agentic AI.
Veltris —Bengaluru, Karnataka
- Full-time
- Scripting
- Linux
- AI
AI Operations Engineer (Linux)
optimhire —Bengaluru, Karnataka
- ₹2,66,638.53 - ₹14,85,886.90 a year
- Full-time
- Software troubleshooting
- Master's degree
- APIs
Quick apply
3h
Senior Platform Engineer I
Booking Holdings —Bengaluru, Karnataka
- Rotational shift
- English
- Java
- AWS
Kubernetes Platform Engineer - AI Infrastructure (8+ Years)
Cisco Systems —Bengaluru, Karnataka
- Full-time
- Master's degree
- Databases
- Machine learning
Kubernetes Platform Engineer - AI Infrastructure ( Golang/Python) - (8+ Years)
Cisco Systems —Bengaluru, Karnataka
- Full-time
- Databases
- Machine learning
- Mentoring
AI Engineer – Spectra Platform
Skylark Drones —Bengaluru, Karnataka
- Full-time
- Master's degree
- AI
- Communication skills
Quick apply
AI Infra Strategy - Cloud Integrated Infrastructure Engineer III
Deloitte —Bengaluru, Karnataka
- Azure
- PMP
- Master's degree
11d
Agentic AI & Autonomous Platform Systems Engineer
Veltris —Bengaluru, Karnataka
- Full-time
- Scripting
- APIs
- AI
Physical & Spatial AI - Cloud Integrated Infrastructure Engineer II
Deloitte —Bengaluru, Karnataka
- Master's degree
- AWS
- C++
AWS Data & AI Platform Engineer
NTT Ltd —Bengaluru, Karnataka
- AWS
- Computer networking
- APIs
AI Platform FinOps Sr. Engineer
Cargill —Bengaluru, Karnataka
- Azure
- Computer Science
- Engineering
Platform Infrastructure Engineer
Atomicwork Inc —Bengaluru, Karnataka
- Hybrid work
- Java
- AWS
- Linux
- Paid time off
- Paid sick time
Quick apply
AI Infra Strategy - Cloud Integrated Infrastructure Engineer II
Deloitte —Bengaluru, Karnataka
- Azure
- PMP
- Master's degree
11d
Hiring AWS & Snowflake Platform Engineer (Cloud Infrastructure)
Haparz Pvt Ltd —Bangalore City, Bengaluru, Karnataka
- Full-time
- AWS
- AI
Quick apply
4d
Infrastructure Platform Engineer
NTT Ltd —Karnataka
- Azure
- Computer Science
- DevOps
7d
Senior Engineer, Integration Platform
Fulfil.IO Inc. —Bengaluru, Karnataka
- ₹55,00,000 - ₹80,00,000 a year
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- APIs
- Paid time off
Quick apply
Platform & Infrastructure Engineer
Ericsson —Bengaluru, Karnataka
- Linux
- Python

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Founding Cloud Infrastructure Engineer (AI Platform)

Valerie Group
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Law
Incident management
Kubernetes
Master's degree
Databases
AWS
Docker
Machine learning
Distributed systems
Terraform
Continuous integration
Redis
S3
Linux
Kafka
AI
RDS database
Communication skills
Debugging
Identity & access management
AWS CloudFormation

Full job description

About this Role

We're looking for a Founding AWS Cloud Engineer to build the infrastructure that powers Valerie's AI-native platform.This is a 0 1 opportunity. There are no legacy systems to maintain or existing architectures to work around. You'll design, build, and scale our cloud infrastructure from the ground up, making the technical decisions that shape the platform for years to come.

You'll work across cloud infrastructure, DevSecOps, distributed systems, and AI infrastructure, partnering closely with Product, AI, and Engineering teams to build secure, scalable, and reliable systems that support the next generation of AI-powered products.

You could be a great fit if...

You enjoy building cloud infrastructure from scratch rather than maintaining legacy systems.
You have deep experience with AWS and know how to design secure, scalable, and resilient architectures.
You think in systems and enjoy making technical decisions that will support long-term growth.
You're comfortable owning everything from Infrastructure as Code and CI/CD pipelines to observability and production reliability.
You enjoy working closely with engineers, AI teams, and product teams to bring new ideas into production.
You're passionate about automation and believe infrastructure should be repeatable, secure, and easy to scale.
You understand the unique challenges of AI-native applications and enjoy building the infrastructure that powers them.
You're proactive, take ownership, and don't wait for someone else to solve problems.

Requirements

Strong hands-on experience building and managing production infrastructure on AWS.
Deep knowledge of core AWS services, including EC2, ECS, VPC, IAM, S3, RDS, Route 53, CloudFront, CloudWatch, and Load Balancers.
Experience with Infrastructure as Code using Terraform (preferred) or AWS CloudFormation.
Strong experience with Docker, containerized environments, and CI/CD pipelines.
Solid understanding of Linux, networking, monitoring, debugging, and production incident management.
Experience designing secure cloud environments, IAM policies, secrets management, and infrastructure security best practices.
Experience building scalable distributed systems and event-driven architectures.
Experience supporting AI or machine learning infrastructure, including LLM workloads, vector databases, or retrieval-based systems.
Strong communication skills and the ability to explain technical trade-offs to both technical and non-technical stakeholders.

Bonus Points

Experience with Kubernetes, Amazon ECS, or large-scale container orchestration.
Familiarity with serverless technologies such as Lambda, EventBridge, or Step Functions.
Experience with Redis, Kafka, SQS, or other messaging and caching systems.
Experience with AI infrastructure frameworks such as LangChain, LangGraph, or LlamaIndex.
Experience with vector databases such as Pinecone, Weaviate, Qdrant, or pgvector.
Experience with GPU infrastructure, MLOps, or AI inference systems.
Experience working in an early-stage startup or building products from zero to one.

You probably shouldn't apply if...

You prefer maintaining existing infrastructure over designing new systems.
You rely on predefined architecture rather than making technical decisions independently.
You're uncomfortable working in fast-moving environments where priorities evolve.
You prefer narrowly defined responsibilities over end-to-end ownership.
You're looking for a role focused primarily on operations rather than architecture, automation, and platform engineering.

The best time to join Valerie was yesterday. The next best time is now

Our Hiring Process

We want interviews to be valuable for both sides. Throughout the process, you'll meet the people you'll work with, learn more about the role, and get a chance to understand how we think and operate.

Our process typically includes:

Introductory conversation with our Talent team <> 30 mins
Hiring Manager interview <> 30-45 mins
Role-specific assessment or practical exercise (where applicable)
Cross-functional or stakeholder interviews <> 30-45 mins
Final conversation with leadership <> 30-45 mins

We'll always let you know what to expect before each stage.

What You Can Expect

Meaningful work with visible impact
High ownership from day one
Collaboration with experienced founders, operators, and specialists
A team that values curiosity, initiative, and continuous improvement
Competitive compensation and the tools you need to do your best work
Opportunities to grow as Valerie grows

Valerie is committed to building an inclusive workplace where people from different backgrounds, experiences, and perspectives can thrive. We hire based on skills, potential, and the ability to contribute to our team.

Quick apply

Refine Your Search

platform engineer ai infrastructure jobs in karnataka

Founding Cloud Infrastructure Engineer (AI Platform)

Platform Engineer - AI Infrastructure

Senior AI/ML Engineer

Senior Platform Engineer – GPUaaS, Data Infrastructure and Agentic AI.

AI Operations Engineer (Linux)

Senior Platform Engineer I

Kubernetes Platform Engineer - AI Infrastructure (8+ Years)

Kubernetes Platform Engineer - AI Infrastructure ( Golang/Python) - (8+ Years)

AI Engineer – Spectra Platform

AI Infra Strategy - Cloud Integrated Infrastructure Engineer III

Agentic AI & Autonomous Platform Systems Engineer

Physical & Spatial AI - Cloud Integrated Infrastructure Engineer II

AWS Data & AI Platform Engineer

AI Platform FinOps Sr. Engineer

Platform Infrastructure Engineer

AI Infra Strategy - Cloud Integrated Infrastructure Engineer II

Hiring AWS & Snowflake Platform Engineer (Cloud Infrastructure)

Infrastructure Platform Engineer

Senior Engineer, Integration Platform

Platform & Infrastructure Engineer

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Valerie is committed to building an inclusive workplace where people from different backgrounds, experiences, and perspectives can thrive. We hire based on skills, potential, and the ability to contribute to our team.

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