What are the responsibilities and job description for the AWS Devops Engineer position at Blankfactor?
Overview:
At Blankfactor, we’re looking for a skilled and proactive AWS DevOps Engineer to join our growing team. In this role, you’ll be responsible for building and maintaining cloud infrastructure, automation pipelines, and deployment strategies to support high-performance applications. You’ll work closely with engineering teams to streamline development workflows and ensure system reliability, scalability, and security.
Key Responsibilities:
- Design, implement, and manage scalable AWS infrastructure using Infrastructure as Code (IaC) tools like Terraform or CloudFormation
- Build and maintain CI/CD pipelines to enable efficient, reliable software delivery
- Monitor systems and troubleshoot issues in production and development environments
- Implement and enforce security best practices, including identity and access management, encryption, and network protection
- Automate operational tasks and deployments to improve speed and efficiency
- Collaborate with developers, architects, and QA to ensure seamless integration and delivery
- Support disaster recovery planning, cost optimization, and performance tuning
Qualifications:
- 4 years of experience in DevOps or cloud engineering roles
- Strong hands-on experience with AWS services (EC2, ECS, EKS, Lambda, S3, RDS, etc.)
- Proficiency in Infrastructure as Code tools, preferably Terraform
- Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI
- Scripting skills with Python, Bash, or similar
- Solid understanding of networking, security principles, and monitoring tools (e.g., CloudWatch, Prometheus, Grafana)
- Experience with Docker and container orchestration tools like Kubernetes is a plus
- Excellent communication and collaboration skills
- English level: B2 or higher
Nice to Have:
- AWS Certifications (e.g., AWS Certified DevOps Engineer – Professional)
- Experience in regulated environments (e.g., fintech, healthcare)
- Familiarity with observability stacks and logging tools (ELK, Datadog, etc.)