Cloud Engineer

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.