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 :

1-3 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.