Senior Platform Engineer

Company : Weremotedevs

Job Type : Full Time

Kolkata (On -Site), West Bengal

Number of Applicants

:

000+

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Job Description - Senior Platform Engineer

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

• Strong 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.

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