
Cloud Engineer
3 weeks ago
We are looking for a Mid-level Cloud Engineer with hands-on expertise in designing, automating, and operating production-grade cloud infrastructure. This role requires a strong background in AWS services, DevOps/DevSecOps practices, Infrastructure as Code, monitoring, and container orchestration. The engineer will be responsible for building resilient, secure, and scalable systems across multi-region environments.
Roles and Responsibilities:
- Design, deploy, and manage infrastructure using a broad set of AWS services including VPC, IAM, RDS, EC2, ECS, S3, Bedrock, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB.
- Operate and scale multi-region, production-facing applications, ensuring high availability, fault tolerance, and DR readiness.
- Implement DevOps & DevSecOps practices with automation-first approaches for deployments, security, compliance, and monitoring.
- Manage Infrastructure as Code (IaC) using Terraform and Ansible.
- Leverage containerization & orchestration tools such as Docker, Docker Compose, and Kubernetes.
- Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
- Build and maintain CI/CD pipelines with GitHub Actions (preferred) or Jenkins.
- Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
- Implement and manage network configurations including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
- Leverage monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions (New Relic, Datadog – nice to have).
- Work with Airflow for workflow orchestration and data pipeline automation.
- Ensure compliance with SOC2 standards and manage cloud DR/backup strategies.
- Collaborate with cross-functional teams, providing technical guidance, troubleshooting, and performance optimization.
- Explore AI-assisted engineering tools (Codex, Cursor, GitHub Copilot) to improve development and automation efficiency.
Required Skills & Qualifications:
- 2-3 years of experience in DevOps, Cloud Engineering, or related fields.
- Proven track record of managing AWS services at scale in production environments.
- Expertise in Terraform, Ansible, and IaC practices.
- Strong Linux administration skills (Ubuntu/Debian preferred).
- Hands-on experience with Docker, Docker Compose, and Kubernetes for container orchestration.
- Proficiency in scripting languages (Python, Bash, Shell).
- Experience with CI/CD pipelines (GitHub Actions preferred).
- Knowledge of networking fundamentals (LAN, WAN, IPv4, IPv6, VPNs, Firewalls).
- Experience operating multi-node Elasticsearch & Kibana clusters.
- Strong problem-solving and troubleshooting abilities.
- Excellent communication and collaboration skills.
Nice to Have:
- Exposure to AI/ML-based productivity tools for DevOps workflows.
- Hands-on experience with APM tools such as New Relic or Sentry.
- Experience managing on-premise rack servers in hybrid environments.
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