DevOps Engineer

# We’re Hiring: DevOps Engineer – Remote, India

GalaxiQ

DevOps Engineer

AI agents

About GalaxiQ

GalaxiQ is at the forefront of agentic AI

Our mission:

We operate at the cutting edge of:

• Agentic frameworks

   (LangGraph, CrewAI, AutoGen, LiteLLM)

• LLM infrastructure

   (Amazon Bedrock, SageMaker, OpenAI, Anthropic)

• AI observability & evaluation

   (Langfuse, HoneyHive)

• Cloud-native orchestration

   on 

  AWS ECS, Lambda and Kubernetes

You’ll help us turn these frameworks into scalable, production-grade systems.

Your Role

You’ll build and maintain the cloud infrastructure that powers our intelligent agent pipelines, ensuring every model, flow and inference runs securely and efficiently.

Key Responsibilities:

• Architect and manage AWS infrastructure (ECS, EKS, Lambda, Bedrock, SageMaker, S3).
• Build automated CI/CD pipelines for model training and multi-agent deployments.
• Deploy and manage containers using Docker and Kubernetes.
• Implement Infrastructure as Code (Terraform/CloudFormation).
• Set up observability with Langfuse, HoneyHive, Prometheus and Grafana.
• Automate scaling, versioning and rollbacks for LLM micro-services.
• Collaborate with AI and backend teams to integrate agents, RAG and vector stores.
• Secure APIs, manage IAM and secrets and optimise cost and performance.

What You Bring

• 3–6 years of experience as a 

  DevOps / Cloud / Infrastructure Engineer.

• Deep understanding of AWS Cloud

  , 

  containerisation

   and 

  CI/CD pipelines.

• Proficiency in Python / Bash scripting

   for automation.
• Experience with 

  Docker

  , 

  Kubernetes

  , 

  ECS

  , 

  GitHub Actions

   or 

  Jenkins.

• Familiarity with IaC tools

   (Terraform, AWS CDK, CloudFormation).
• Comfort working with 

  remote, distributed engineering teams.

Preferred (Agentic Edge)

• Experience deploying 

  AI / ML pipelines

   (SageMaker, Bedrock, Hugging Face, etc.)
• Knowledge of 

  agentic frameworks

   (LangGraph, AutoGen, CrewAI or custom orchestration layers).
• Familiarity with 

  RAG systems

  , 

  vector databases

   (FAISS, Pinecone, Bedrock Knowledge Base).
• Understanding of 

  AI evaluation, prompt routing and inference scaling.

• Hands-on experience integrating observability and event tracing

   into AI systems.
• Curiosity about 

  self-healing pipelines

  , 

  AI-driven monitoring

   and 

  autonomous DevOps.

Why Join GalaxiQ

• Work on 

  real agentic frameworks

   and deploy 

  AI systems that think and act

  .
• 100% remote work with high ownership and creative freedom.
• Collaborate with 

  top-tier AI engineers, data scientists and product innovators.

• Build systems that push the frontier of AI infrastructure, autonomy and observability.

• Competitive salary as per industry standards + performance-based growth.

How to Apply

If you’re passionate about automating the future of intelligence, send your résumé + GitHub / portfolio

Immediate joiners will be prioritised.

Let’s build the backbone of autonomous intelligence — together.

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