Cloud Engineer

Company Description

KLUGSYS, founded by visionary technologists and business strategists, is dedicated to unlocking the potential of intelligent automation and immersive digital solutions for enterprises. We are transformation partners, working collaboratively to create measurable impacts for our clients. Guided by ethical innovation and a commitment to meaningful change, we deliver solutions that redefine technological boundaries. At KLUGSYS, collaboration and impact are at the core of our philosophy.

Location : Hybrid – Bengaluru, India

Employment Type : Full-Time

Role Overview

As a Cloud Engineer at Klugsys, you will be responsible for designing, building, monitoring, and optimizing the core AWS infrastructure. You will work closely with our backend, AI / ML, and DevOps teams to ensure scalability, high availability, and cost-efficient operation across multiple microservices and data pipelines.

This role is ideal for someone who has hands-on AWS experience, strong automation skills, and thrives in a fast-paced startup environment.

Key Responsibilities

• Design, deploy, and manage scalable AWS infrastructure supporting microservices, AI agents, and real-time processing.
• Work extensively with  EC2, ECS (Fargate / EC2), Lambda, S3, DynamoDB, RDS, API Gateway, CloudFront, SNS / SQS, Kinesis Firehose, Glue, Athena , and other AWS services.
• Implement secure and efficient  CI / CD pipelines  using GitHub Actions.
• Automate deployments and environment setups using  Terraform  (IaC).
• Manage containerization workflows using  Docker  and orchestrate deployments on ECS.
• Set up monitoring, logging, and observability using  CloudWatch , Grafana / Prometheus (optional), X-Ray, and AWS dashboards.
• Optimize infrastructure for performance, cost, and reliability, with a strong focus on reducing operational overhead.
• Manage IAM roles, permission boundaries, multi-account structure and secure access controls.
• Support real-time ingestion pipelines for property data, streaming APIs, and AI services.
• Troubleshoot and resolve infrastructure issues, production incidents, and performance bottlenecks.
• Collaborate with security teams to ensure systems are compliant with GDPR, PDPL, and internal security policies.
• Participate in architecture discussions and support scaling strategy for agentic AI workflows.

Required Skills & Experience

Technical Requirements (Must Have) :

Bonus Skills (Good to Have) :

Soft Skills

Benefits

Competitive salary based on experience.

Hybrid work flexibility (remote + on-site collaboration in India).

Opportunity to pioneer strategies in emerging Answer Engine Optimization.