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Synechron

Senior Platform Engineer, AWS Cloud Engineer

Synechron

. Design, build, and migrate application workloads into AWS .

Posted 10/6/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in designing and migrating application workloads into AWS, utilizing core AWS services, and implementing DevOps practices. Proficient in Infrastructure as Code and enabling AI capabilities on cloud platforms.

Highest-signal resume keywords
AWS Cloud SolutionsInfrastructure as CodeDevOps and CI/CDAWS Associate Level+ CertificationMachine Learning and AI Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AWS EC2AWS LambdaAWS S3AWS EBSAWS VPCAWS Route53AWS RDSAWS AuroraAWS DynamoDBAWS Neptune
Tools & Technologies
TerraformCloudFormationAWS CDKDockerKubernetesGitGitHubTeamCityGitHub ActionsAWS CloudWatch
Certifications & Qualifications
AWS Associate Level+ Certification
Industry Keywords
AWS Well-Architected FrameworkCost OptimizationSecurity ManagementAI FoundationsMCPAPIs

Tech Stack

Tools & technologies
AWSCloudDockerDynamoDBEC2KubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Design, build, and migrate application workloads into AWS
  • Utilize core AWS services including EC2, Lambda, S3, EBS, VPC, Route53, RDS, Aurora, DynamoDB, and Neptune
  • Implement management, security, and cost optimization strategies using IAM, CloudWatch, and Security Groups
  • Apply the AWS Well-Architected Framework
  • Develop Infrastructure as Code using Terraform, CloudFormation, and AWS CDK
  • Leverage container services including ECS, Fargate, and EKS
  • Leverage machine learning and AI services including Amazon Textract, Amazon Bedrock, Sagemaker, and Amazon Q
  • Implement DevOps and CI/CD practices using Docker/Kubernetes, Git/GitHub, TeamCity, and GitHub Actions
  • Manage infrastructure and platform activities across OR&C, including upgrades, environment provisioning, stability, performance, security, and lifecycle management
  • Enable and operationalise AI foundations, including MCP and APIs, with security, audit, and repeatable guardrails

Requirements

What you’ll need
  • Minimum 8+ years of experience with expert level knowledge
  • Practical industry experience in AWS cloud solutions
  • Proficiency in core AWS services and concepts
  • Solid knowledge in specialized AWS services
  • Experience with Amazon Textract, Amazon Bedrock, Sagemaker, and Amazon Q
  • Experience enabling AI capabilities on a cloud platform
  • Strong programming skills in Python or another modern programming language
  • Experience with DevOps and CI/CD services and tools
  • Must have at least one current Associate Level+ certification in AWS
  • Experience with AWS infrastructure, management, security, and cost optimization
  • Experience with Terraform, CloudFormation, and AWS CDK
  • Experience with Docker/Kubernetes, Git/GitHub, TeamCity, and GitHub Actions

Benefits

Comp & perks
  • Flexible workplace arrangements
  • Mentoring
  • Internal mobility
  • Learning and development programs
  • Equal opportunity workplace
  • Affirmative action employer