Senior AWS DevOps Engineer

This is a fully remote position, open to applicants in Pakistan.

📋 Description

• Design, construct, and sustain AWS infrastructure, enhancing scalability, resilience, and cost-effectiveness across various environments.

• Develop and oversee Infrastructure-as-Code utilizing Terraform, ensuring deployments are modular, reusable, and consistent.

• Design and execute CI/CD pipelines (preferably using GitLab) across application, data, and infrastructure layers.

• Build and manage Kubernetes (EKS) workloads, including deployments, scaling, and troubleshooting in production.

• Work with a diverse array of AWS services, including compute (EC2, ECS, EKS, Lambda), networking (VPCs, subnets, security groups), and event-driven systems (API Gateway, EventBridge, SQS/SNS, Step Functions).

• Manage and optimize data services like RDS (PostgreSQL) and ClickHouse.

• Automate the setup of infrastructure and environments using tools such as Packer and Ansible for AMI creation and configuration.

• Implement and enhance observability through CloudWatch, Grafana, Prometheus, and centralized logging tools (e.g., Splunk, Datadog, ELK).

• Collaborate with developers and data engineers to enhance deployment workflows, system reliability, and platform usability.

• Apply security best practices across infrastructure, including IAM, KMS, and Secrets Manager.

• Support incident response, troubleshooting, and the continuous improvement of production systems.

⛳️ Requirements

• A minimum of 5 years of experience in DevOps, Cloud Engineering, or SRE roles.

• Strong practical experience with AWS in the areas of compute, networking, and serverless services.

• Demonstrated experience in building and maintaining CI/CD pipelines (GitLab preferred).

• Proficient in Terraform and Infrastructure-as-Code methodologies.

• Hands-on experience with Kubernetes in production settings (EKS preferred).

• Solid grasp of containerization and orchestration principles.

• Experience in implementing monitoring, logging, and alerting within production systems.

• Familiarity with centralized observability platforms (e.g., Splunk, Datadog, ELK, or equivalents).

• Strong understanding of system reliability, scalability, and operational practices in production.

• Experience working in both Linux and Windows environments.

• Practical experience in building AMIs using Packer and configuration tools like Ansible.

• Proficiency in scripting languages (e.g., Bash, Python, or PowerShell).

• Ability to design and implement systems in hands-on production environments.

• A strong ownership mindset with the capacity to thrive in a small, agile team.

🏝️ Benefits

• Valued and empowered.

• Part of a culture that celebrates integrity, excellence, and ambition.