We'are looking for Senior Platform Engineer who has a hands-on cloud engineer responsible for building and operating the core

AWS platform that powers internal systems and data infrastructure. This role spans operations,

infrastructure-as-code, container platforms (ECS/EKS), internal platform APIs, and data processing fundamentals required for handling logs, inventories and automation.

Requirements

Responsibilities:

- Build AWS infrastructure from architecture diagrams.
- Update, patch, and maintain existing infrastructure.
- Develop and maintain platform-owned codebases (Lambda/Python-based APIs and internal tools).
- Convert architectures into Terraform modules and configurations.
- Build end-to-end AWS stacks including Networking, Compute, RDS, Lambda, API Gateway, ECS/EKS workloads, Load Balancing.
- Implement best practices in HA, IAM, observability, and cost optimization.
- Debug logs and trace issues across multiple AWS services.
- Troubleshoot end-to-end system flows across AWS services.
- Handle and process platform-generated datasets such as logs, inventories, and telemetry.

Skills Required

1. Cloud & AWS

- Solid practical experience in AWS across compute, storage, networking, IAM, and serverless services.
- Hands-on experience with Lambda, API Gateway, S3, DynamoDB, CloudWatch, and SQS.

Infrastructure-as-Code (Terraform)





- Strong ability to write reusable Terraform modules and multi-environment configurations.
- Can independently translate architecture into well-structured IaC.

2. Containers

- Solid experience with ECS (task definitions, services, autoscaling, IAM for tasks)
- Working knowledge of EKS (pods, manifests, node groups, basic Karpenter usage)

3. Programming

• Proficiency in Python for internal APIs, Lambda functions, and tooling automation

- Good understanding of clean code, error handling, and integration best practices

4.

Data Analysis

Fundamentals

- Familiarity with Athena (CTAS, queries, partition projections).
- Basic SQL for querying logs, telemetry, and operational datasets.

5. Troubleshooting & Platform Operations

- Strong debugging skills across distributed AWS systems

Soft Skills

- Strong communication and documentation skills
- Ability to collaborate across product, data science, and engineering teams

6. Mindset

- Self-driven engineer who operates with minimal supervision.
- Hands-on, ownership-driven, and comfortable working in a small team.
- Ability to switch between infrastructure, code, and operations seamlessly.
- Problem-solving mindset with curiosity to go deep into issues.

📌 Senior Platform Engineer (Kolkata)
🏢 WeRemoteDevs
📍 Kolkata