Emergys - AWS Architect

4 weeks ago


Pune, Maharashtra, India Emergys labs Full time

Key Responsibilities:

AWS Architecture & Application Development

  • Design and implement scalable, secure, and high-performing AWS-based applications.
  • Develop cloud-native applications using Amplify, AWS Lambda, API Gateway, ECS, EKS, Fargate, and Step Functions.
  • Architect and manage serverless and containerized applications.
  • Lead the modernization of legacy applications to AWS-based microservices.
  • Define best practices for CI/CD automation using AWS DevOps tools (CodePipeline, CodeBuild, CodeDeploy).

Data Management & Integration

  • Design and implement data platforms, data lakes, and data pipelines on AWS using services like Glue, EMR, Athena, Redshift, and S3.
  • Develop ETL processes and data ingestion frameworks for structured and unstructured data.
  • Optimize data storage, retrieval, and processing for performance and cost-effectiveness.
  • Evaluate data integrity, lineage, and compliance with industry regulations.

Security & Compliance

  • Implement AWS security best practices using IAM, KMS, Security Hub, GuardDuty, and WAF.
  • Ensure data protection, encryption, and access control for sensitive workloads.
  • Maintain compliance with industry standards (SOC 2, ISO 27001, HIPAA, GDPR).

Performance Optimization & Monitoring

  • Monitor and optimize AWS resources using CloudWatch, X-Ray, and AWS Cost Explorer.
  • Implement auto-scaling and high-availability strategies for AWS applications.
  • Evaluate fault tolerance, disaster recovery, and business continuity planning.

Collaboration & Stakeholder Management

  • Work closely with developers, data engineers, DevOps, and business teams to align cloud solutions with business goals.
  • Provide technical leadership and mentor junior engineers.
  • Create detailed architecture documentation and present solutions to stakeholders.

Key Requirements

Technical Skills

  • Cloud Expertise: Deep knowledge of AWS architecture, networking, and security.
  • Infrastructure as Code (IaC): Hands-on experience with Terraform, AWS CloudFormation.
  • Database Management: Experience with Amazon RDS, Aurora, DynamoDB, and NoSQL databases.
  • Big Data & Analytics: Familiarity with AWS Glue, EMR, Redshift, Kinesis.
  • DevOps & CI/CD: Experience with Git, Jenkins, AWS CodePipeline, and Docker/Kubernetes.

Soft Skills

  • Strong problem-solving and analytical abilities.
  • Excellent communication and stakeholder management skills.
  • Ability to work in an agile and collaborative environment.

Preferred Qualifications

  • AWS Certified Solutions Architect - Professional (or equivalent certification).
  • Experience with machine learning pipelines on AWS (SageMaker, Data Wrangler).
  • Knowledge of multi-cloud (Azure, GCP) and hybrid cloud architectures.


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