Description

 Responsibilities

• · Design AWS architecture - Build scalable, highly available solutions using EC2, S3, RDS, VPC, ELB/ALB, EKS, and other AWS-native services; plan for disaster recovery and resilience.
• · Provision and manage infrastructure - Deploy and maintain compute, storage, networking, and database resources via the AWS Console, CLI, and infrastructure-as-code.
• · Automate with IaC - Develop and maintain provisioning and deployment workflows using Terraform and AWS CloudFormation.
• · Secure cloud environments - Apply IAM, encryption (at rest and in transit), network segmentation, logging, and compliance controls aligned with organizational and regulatory requirements.
• · Monitor and optimize - Track performance, availability, and cost; use AWS monitoring and alerting tools; proactively troubleshoot and resolve incidents.
• · Enable CI/CD - Integrate infrastructure with pipelines for streamlined builds and deployments using GitHub Actions and related practices.
• · Support containerized workloads - Manage application deployments with Docker and Kubernetes (EKS); minimize downtime during releases.
• · Collaborate with development - Partner with engineering teams to translate application needs into secure, efficient AWS solutions.
• · AI-assisted DevOps - Use AI coding and operations assistants (e.g., GitHub Copilot, Cursor, ChatGPT, or similar) to accelerate scripting, IaC, pipeline configuration, documentation, and incident analysis; critically review all AI-generated infrastructure and automation for security, correctness, and compliance.

 · Promote responsible AI use - Help define when and how the team uses AI for infrastructure, automation, and runbooks, including review standards and risk controls.

 Required Skills & Qualifications:

· Education - Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience; 5 years experience

· Experience - 5+ years in DevOps, cloud engineering, or platform engineering roles.

· AWS - Strong hands-on experience with core services: compute, storage, networking, databases, and security.

· Infrastructure as code - Production experience with Terraform and/or AWS CloudFormation.

· Scripting - Proficiency in Python, Bash, or PowerShell for automation and administration.

· Security - Solid understanding of the AWS shared responsibility model and cloud security best practices.

· Networking - Subnetting, routing, load balancing, firewall rules, and VPN connectivity.

· CI/CD - Working knowledge of continuous integration and deployment principles and tooling.

· AI-assisted development - Practical experience using AI tools for scripting, IaC, pipeline work, or operational troubleshooting; ability to validate and harden AI-generated configurations and code.

· Problem-solving - Proven ability to diagnose and resolve complex AWS and CI/CD issues.

· Communication - Clear collaboration with cross-functional development and operations stakeholders.

Qualifications

· One or more of the following certifications:

• o AWS Certified DevOps Engineer – Professional
• o AWS Certified Advanced Networking – Specialty
• · Proven experience as DevOps Engineer.
• · Hands-on experience managing containerized workloads using Docker and Kubernetes (EKS).
• · Familiarity with modern CI/CD tools and practices, including GitHub Actions

Key Skills

Education

Bachelor's degree