Job Description

Minimum Required Experience : 10 years


Full Time


Skills


Kubernetes
Cloudops
Aws Eks
Aws Cloudformation
Description


Role Overview


We are seeking a seasoned AWS CloudOps Architect to lead the design, implementation, and operational excellence of our cloud infrastructure. In this role, you will bridge the gap between high-level architecture and hands-on operational management. You will be responsible for ensuring that our cloud platforms are not only highly available and scalable but also cost-optimized and secure.


The ideal candidate possesses a deep understanding of the AWS Well-Architected Framework and brings a developer-centric mindset to operations, utilizing Java and Python to automate complex workflows and enhance system reliability.


Key Responsibilities

Architectural Leadership:

Design and deploy scalable, highly available, and fault-tolerant systems on AWS, adhering to the Well-Architected Framework.

Operational Excellence:

Lead monitoring, logging, and alerting strategies to ensure proactive system health management and rapid incident response.

Automation & IaC:

Drive a "code-first" approach to infrastructure using Terraform or CloudFormation to automate resource provisioning and configuration.

CI/CD & DevOps:

Collaborate with engineering teams to build and maintain robust CI/CD pipelines, streamlining the path from development to production.

Security & Compliance:

Implement and manage IAM policies, network security (VPC, Security Groups), and compliance guardrails to protect sensitive data.

Cost Optimization:

Conduct regular architectural reviews to identify cost-saving opportunities through rightsizing, reserved instances, and serverless transitions.

Collaboration:

Act as a technical mentor to junior engineers and provide architectural guidance to application development teams.


Required Technical Skills


Strong AWS CloudOps and Cloud Architecture experience Core AWS Services: +

Compute & Containers:

Extensive experience with

EKS (Kubernetes)

,

ECS

, and

Lambda

(Serverless).
+

Messaging & Streaming:

Hands-on expertise with

SQS

,

SNS

, and

MSK (Managed Streaming for Kafka)

.
+

Databases & Storage:

Deep knowledge of

RDS

,

DynamoDB

, and

S3

lifecycle management.

Programming:

Strong proficiency in

Java

and

Python

for automation, custom tooling, and script development.

Infrastructure as Code:

Proven experience with

Terraform

or

AWS CloudFormation

.

Networking:

Deep understanding of AWS global infrastructure, including Regions, Availability Zones (AZs), Edge locations, Route 53, and CloudFront.

Observability:

Proficiency with tools such as AWS CloudWatch, CloudTrail, and third-party APM/logging solutions (e.g., ELK, Datadog, Prometheus).
Good to Have

AI/ML Integration:

Exposure to AWS AI/ML services such as

Amazon SageMaker

,

Bedrock

,

Rekognition

, or

Comprehend

.

Advanced Networking:

Experience with Transit Gateway, Direct Connect, and complex VPC peering architectures.

Disaster Recovery:

Proven track record of designing and testing multi-region DR strategies.


Qualifications


Bachelor's or Master's degree in Computer Science or related field 8+ years IT experience with 5+ years on AWS Demonstrated experience in managing large-scale, production-grade Kubernetes environments (EKS).
Certifications (Optional)


AWS Certified CloudOps Engineer - Associate


AWS Solutions Architect - Associate


AWS DevOps Engineer - Associate