Summary:
We are seeking a highly skilled and experienced AWS DevOps Engineer with at least 8 years of hands-on experience in designing, deploying, and managing modern cloud infrastructures. This role will work closely with the AWS Architect to ensure that all infrastructure and development pipelines are robust, scalable, cost-efficient, and aligned with industry best practices.
The ideal candidate will have strong expertise in observability, logging, CI/CD pipelines, infrastructure as code (IaC), and cost optimization strategies. Additionally, they will be proficient in emerging technologies such as Amazon Q, AI/ML services, and Kiro, with a proactive and solution-oriented mindset.
Key Responsibilities
- Collaboration & Architecture Alignment: Partner closely with the AWS Architect to translate architecture designs into operational, secure, and cost-effective infrastructure. Provide infrastructure feedback during solution design to ensure feasibility, scalability, and maintainability. Participate in architecture reviews, infrastructure planning, and technical decision-making processes.
- Infrastructure Management & Optimization: Build, deploy, and maintain AWS cloud infrastructure using Infrastructure as Code (Terraform, AWS CDK, or CloudFormation). Implement cost monitoring and optimization strategies to ensure resource efficiency. Manage and automate infrastructure scaling, backup, disaster recovery, and high availability solutions.
- Observability & Logging: Establish robust monitoring, alerting, and logging frameworks (CloudWatch, AWS X-Ray, OpenTelemetry, Datadog, etc.). Implement full-stack observability for applications, APIs, and infrastructure components. Ensure incident detection and resolution processes are efficient and well-documented.
- CI/CD & DevOps Best Practices: Design, implement, and manage CI/CD pipelines for multiple environments (Dev, QA, Staging, Production). Integrate automated testing, security scans, and compliance checks into the release process. Support blue/green and canary deployments, ensuring minimal downtime and rollback capabilities.
- AI & Emerging Technologies: Leverage AWS AI/ML services and tools like Amazon Q, SageMaker, Kiro, and other emerging AI platforms to improve DevOps workflows and infrastructure intelligence. Explore automation opportunities using AI-powered infrastructure insights and recommendations.
- Security & Compliance: Implement and maintain IAM best practices, secrets management, and least privilege principles. Ensure compliance with industry standards such as SOC 2, PCI DSS, and ISO 27001. Perform security audits and apply proactive remediations.
Required Skills & Qualifications
- Experience: 8+ years of experience in DevOps, Cloud Engineering, or AWS Infrastructure roles.
- AWS Services: Deep expertise in AWS Services (EC2, S3, RDS, Lambda, ECS/EKS, CloudFront, VPC, Route53, etc.).
- Infrastructure as Code: Strong proficiency in Infrastructure as Code (Terraform, AWS CDK, CloudFormation).
- CI/CD: Proven experience with CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins, GitLab CI).
- Observability: Expertise in observability tools (CloudWatch, X-Ray, Datadog, Prometheus, ELK Stack).
- Cost Optimization: Strong knowledge of cost optimization strategies in AWS.
- AI/ML: Familiarity with AI/ML tools such as Amazon Q, SageMaker, Kiro, and related platforms.
- Containerization: Solid understanding of containerization and orchestration (Docker, Kubernetes, ECS, EKS).
- Scripting: Strong scripting and automation skills (Python, Bash, PowerShell).
- Communication: Excellent communication skills and the ability to work effectively with cross-functional teams.
- Mindset: Proactive, solution-oriented, and adaptable mindset with strong problem-solving skills.
Preferred Qualification
- Certifications: AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect – Professional.
- AWS Governance: Experience in multi-account AWS governance (AWS Organizations, Control Tower, SCPs).
- Architectures: Experience with event-driven architectures and messaging systems (SNS, SQS, EventBridge, Kafka).
- FinOps: Knowledge of FinOps principles and tooling.
- Serverless: Exposure to serverless architectures and event-based workflows.
Key Attributes
- Collaborative: Works hand-in-hand with Architects, Developers, and Security teams.
- Analytical: Can foresee infrastructure issues and resolve them proactively.
- Innovative: Explores emerging AWS and AI technologies for better performance and efficiency.
- Reliable: Ensures infrastructure uptime, security, and performance at all times.
- Cost-conscious: Always seeking ways to reduce operational costs without compromising quality.
Work Requirements
- Working Hours* Remote full-time availability, 5-day work week (Mon-Fri in Eastern Time 09:00 AM to 06:00 PM ET) with 1 hour of break.
- Bring Your Own Device:** Use your own computer, internet and headphone for daily operations.
What’s in it for you
- Base Salary: US$ 2,500 to 3,000/month.
- Paid Time Off & Health Coverage.
- Permanent full-time position in a well-established company.
- Stable projects with modern infrastructure and high standards.
- Friendly, international team that values collaboration and performance.
- Remote-first culture with flexible working arrangements.
