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 withEC2, ECS (Fargate/EC2), Lambda, S3, DynamoDB, RDS, API Gateway, CloudFront, SNS/SQS, Kinesis Firehose, Glue, Athena, and other AWS services.
- Implement secure and efficientCI/CD pipelinesusing GitHub Actions.
- Automate deployments and environment setups usingTerraform(IaC).
- Manage containerization workflows usingDockerand orchestrate deployments on ECS.
- Set up monitoring, logging, and observability usingCloudWatch, 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):
- 35 years of experience inAWS cloud engineering or DevOps roles.
- Strong understanding of AWS architecture and services (Compute, Networking, Storage, Databases, Serverless).
- Hands-on experience with:
- EC2/ECS
- Lambda
- API Gateway
- DynamoDB / RDS
- S3
- SNS/SQS
- Kinesis / Firehose
- VPC, Subnets, Security Groups
- Strong proficiency inTerraform(IaC) including modules, state management, policy as code.
- Experience withDocker& microservices deployments.
- Good understanding ofCI/CD(GitHub Actions preferred).
- Hands-on experience with monitoring tools (CloudWatch, Logs Insights).
- Ability to troubleshoot networking, deployment, and performance issues.
Bonus Skills (Good to Have):
- Experience with event-driven architectures & streaming systems (Kafka/Kinesis).
- Prior exposure to AI/ML workflows on cloud (Bedrock, SageMaker, or custom models).
- Experience with multi-region or multi-account AWS setups.
- Basic understanding of backend languages (Node.js or Python).
- Familiarity with security best practices (IAM, policies, secret management).
Soft Skills
- Strong ownership mindset and ability to operate independently.
- Excellent communication and collaboration skills.
- High adaptability to shifting priorities in a startup environment.
- Structured problem-solving and attention to detail.
- Ability to work across teams (AI/ML, Backend, Product).
Benefits
Competitive salary based on experience.
Hybrid work flexibility (remote + on-site collaboration in India).
Opportunity to pioneer strategies in emerging Answer Engine Optimization.
