Architect and maintain cloud-native infrastructure on AWS (Lambda, AppSync, DynamoDB, RDS, S3) and GCP (GKE, Cloud Run) using AWS CDK and Terraform, emphasizing multi-region setups for scalability, resiliency, and performance.
Design and implement CI/CD pipelines with GitHub Actions and AWS CodePipeline for efficient, reliable deployments. Build serverless and containerized solutions to support scalable, cost-effective systems.
Optimize multi-region configurations to balance high availability, fault tolerance, and cost efficiency while meeting compliance (e.g., SOC 2, PCI DSS).
Implement and manage monitoring and log management solutions using tools like Datadog, Cloudwatch Logs, ensure observability and rapid issue resolution.
Collaborate with developers to integrate DevOps practices, including automated testing, monitoring, and observability.
Collaborate with engineering and security teams to ensure robust infrastructure security and compliance.
Troubleshoot and resolve infrastructure and application issues across production and non-production environments.
Drive cloud cost optimization strategies and adopt best practices for performance, resiliency, and log management.
Qualification
5+ years in DevOps or SRE rolesExpertise in AWS (LambdaKnowledge of cloud securityScripting skills (PythonAWS or GCP certifications (e
Required
5+ years in DevOps or SRE roles, ideally in SaaS or fintech.
Expertise in AWS (Lambda, DynamoDB, RDS, S3) and working knowledge of GCP (GKE).
Proficiency with AWS CDK (TypeScript/Python) and Terraform for Infrastructure-as-Code.
Strong experience with CI/CD tools (GitHub Actions, AWS CodePipeline).
Deep understanding of cloud-native architectures and multi-region configurations for scalability, resiliency, performance, and cost optimization.
Hands-on experience with serverless architectures and container orchestration (GKE).
Proficiency in monitoring and log management tools, including Datadog, Cloudwatch Logs.
Knowledge of cloud security, networking, and compliance standards.
Scripting skills (Python, Bash, Powershell) for automation.
Bachelor’s degree in Computer Science or equivalent experience.
Preferred
SaaS experience with regulatory knowledge (SOC2, PCI DSS).
Expertise in SRE principles and experience managing highly available systems.
AWS or GCP certifications (e.g., AWS DevOps Engineer, Solutions Architect)
Active GitHub profile or open-source contributions.
