This is a remote position.
We are seeking a Senior DevOps Engineer (Python and Bash) to join our team. Y ou will be responsible for designing implementing and managing cloud infrastructure (primarily on AWS) infrastructureascode (Terraform or other IaC frameworks) and continuous integration/continuous deployment pipelines.
Responsibilties:
- Architect implement and maintain secure and scalable AWS environments for hosting SaaS applications.
- Use Terraform or other Infrastructure as Code (IaC) tools to automate infrastructure provisioning and management.
- Collaborate with engineering teams to design cloudnative solutions that meet performance reliability and security requirements.
- Build and maintain robust CI/CD pipelines that automate testing integration and deployment across multiple environments.
- Continuously optimize workflows for faster more reliable releases.
- Implement and manage security best practices (e.g. encryption network segmentation identity and access management).
- Work closely with compliance teams to ensure alignment with ISO 27001
- Automate security checks and compliance audits within the deployment pipeline.
- Implement comprehensive monitoring and logging solutions to track system performance and identify issues proactively.
- Configure and maintain alerting mechanisms to ensure rapid incident response and resolution.
- Conduct capacity planning and performance tuning to handle growing data and user needs.
- Build faulttolerant systems and implement disaster recovery strategies for critical services.
- Work closely with crossfunctional teams including backend frontend and data engineering to ensure seamless code integration and deployment.
- Share DevOps best practices and mentor engineers to foster a culture of continuous improvement.
- Keep uptodate with emerging DevOps tools trends and best practices.
- Evaluate recommend and implement new technologies to streamline processes and improve platform capabilities.
Requirements
- 5 years of DevOps or related engineering experience.
- Expertise in AWS services (EC2 S3 RDS Lambda IAM etc. and best practices for production environments.
- Strong proficiency with Terraform or other InfrastructureasCode tools (CloudFormation Pulumi etc..
- Proven experience with CI/CD pipelines (e.g. Jenkins GitLab CI GitHub Actions).
- Solid understanding of Linux/Unix system administration and shell scripting.
- Knowledge of security best practices (network security encryption key management) and compliance standards (ISO 27001 SOC 2 GDPR).
- Proficiency with containerization (Docker ECS EKS or Kubernetes) is highly desirable.
- Strong automation mindset with experience in scripting languages (Python Bash etc..
- Excellent communication and collaboration skills with the ability to work across teams.
- Ability to troubleshoot complex production issues and provide rootcause analysis.
Preferred Qualifications:
- Experience in startups or highgrowth SaaS companies.
- Familiarity with monitoring tools (Datadog Prometheus Grafana or similar).
- Experience with configuration management tools (Ansible Chef Puppet).
- Knowledge of AI/ML pipelines or NLPbased solutions is a plus.
- Exposure to enterprise HR tech solutions is a plus.
- Prior experience in distributed remote engineering teams.
Benefits
- Work Location: Remote
- 5 days working
5+ years of DevOps or related engineering experience. Expertise in AWS services (EC2, S3, RDS, Lambda, IAM, etc. and best practices for production environments. Strong proficiency with Terraform or other Infrastructure-as-Code tools (CloudFormation, Pulumi, etc.. Proven experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Solid understanding of Linux/Unix system administration and shell scripting. Knowledge of security best practices (network security, encryption, key management) and compliance standards (ISO 27001, SOC 2, GDPR). Proficiency with containerization (Docker, ECS, EKS, or Kubernetes) is highly desirable. Strong automation mindset with experience in scripting languages (Python, Bash, etc.. Excellent communication and collaboration skills with the ability to work across teams. Ability to troubleshoot complex production issues and provide root-cause analysis