AWS DevOps Engineer

This role will partner closely with development, quality assurance, product, and infrastructure teams to improve deployment processes, system reliability, operational efficiency, and overall platform performance., Kubernetes and Container Orchestration

• Design, deploy, manage, and optimize Kubernetes clusters supporting scalable and highly available workloads.
• Implement container orchestration standards, security controls, resource management, and deployment best practices.
• Integrate Kubernetes environments with automated build, testing, and deployment pipelines.
• Troubleshoot cluster, application, networking, and performance-related issues.

AWS Cloud Infrastructure

• Architect, implement, and manage cloud infrastructure using AWS services, including EC2, S3, VPC, RDS, Lambda, IAM, CloudWatch, and related technologies.
• Design cloud-native solutions focused on scalability, availability, security, cost efficiency, and operational resilience.
• Use AWS CDK and Terraform to automate infrastructure provisioning and configuration.
• Maintain consistent infrastructure standards across development, testing, and production environments.

CI/CD and Automation

• Develop and maintain CI/CD pipelines using AWS CodePipeline, Jenkins, or similar tools.
• Automate build, testing, deployment, and infrastructure management processes.
• Monitor and troubleshoot pipeline failures, performance issues, and deployment risks.
• Develop automation and operational tooling using Python, Bash, or similar scripting languages.

Monitoring, Reliability, and Optimization

• Implement and maintain monitoring, alerting, logging, and incident-management solutions using Prometheus, Grafana, Dynatrace, CloudWatch, or similar platforms.
• Improve system performance, scalability, availability, and fault tolerance.
• Participate in incident response, root-cause analysis, and the implementation of preventive actions.
• Identify opportunities to improve infrastructure costs, operational processes, and system reliability.

AI-Enabled Engineering

• Use Claude and other approved AI tools to accelerate troubleshooting, scripting, documentation, infrastructure design, and operational analysis.
• Apply AI responsibly to enhance technical capabilities, improve delivery efficiency, and increase the quality and consistency of engineering work.

We are seeking an experienced Senior DevOps Engineer to design, implement, and maintain scalable, reliable, and secure cloud infrastructure solutions. The ideal candidate is proactive, detail-oriented, and highly skilled in Kubernetes, AWS, Infrastructure as Code, and modern CI/CD practices., * Strong hands-on experience with Kubernetes administration, deployment, and container orchestration.

• In-depth knowledge of AWS services, cloud infrastructure, and cloud-native architecture.
• Experience with Infrastructure as Code using AWS CDK and Terraform.
• Strong experience developing and maintaining CI/CD pipelines using AWS CodePipeline, Jenkins, or comparable platforms.
• Working knowledge of Apache Kafka or similar distributed messaging technologies.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Dynatrace, or CloudWatch.
• Proficiency in scripting and automation using Python, Bash, or similar languages.
• Strong understanding of Git workflows, branching strategies, and version-control practices.
• Knowledge of cloud security, networking, identity and access management, and infrastructure reliability principles.
• Strong troubleshooting, communication, collaboration, and problem-solving skills.

Preferred Qualifications:

• AWS, Kubernetes, or DevOps-related certifications.
• Experience supporting enterprise-scale, highly available production environments.
• Familiarity with GitOps, Helm, service mesh technologies, and container security.
• Experience with incident management, disaster recovery, and business continuity practices.
• Demonstrated ability to evaluate and adopt emerging technologies, including AI-assisted engineering tools.