Job Description : Cloud & DevOps Engineer

Location : Madhapur, Hyderabad

Employment Type : Contract role for 1 year

Department : Engineering - Infrastructure

Role Overview

We are seeking a Cloud & DevOps Engineer to design, deploy, and maintain the infrastructure that powers HoloMe's next-generation AI avatar and kiosk systems. You will ensure our AWS- and Kubernetes-based environment is secure, scalable, and highly available, while working cross-functionally with backend engineers, AI/ML specialists, QA, and product teams to deliver seamless, real-time interactive experiences.

Key Responsibilities

Infrastructure & Deployment :

Manage and optimize AWS infrastructure (EC2, RDS PostgreSQL + pgvector, DynamoDB, Redis, RabbitMQ).
Deploy and maintain Kubernetes clusters for scaling, health checks, and rolling updates.
Build and maintain Docker images for Django, Daphne, Redis, RabbitMQ, Celery, and supporting services.
Oversee ingress routing via Cloudflare - NGINX - Application EC2.

Automation & CI/CD

Implement and optimize CI/CD pipelines for rapid and reliable deployments.
Automate environment provisioning using Terraform or equivalent IaC tools.
Maintain consistent build and deployment practices across staging, testing, and production.

Monitoring & Observability

Configure and maintain Grafana dashboards (grafana.holome.ai) with Prometheus and Redis/Postgres exporters.
Define and refine alerts for CPU/memory, Redis usage, RabbitMQ queue health, Celery task backlog, and 5xx error rates.
Provide observability tools and insights to engineering and QA teams.

Security & Compliance

Maintain Cloudflare WAF, TLS/SSL termination, and DDoS protections.
Manage EC2 Security Groups, IAM roles, and least-privilege policies.
Support middleware security (SQL injection detection, IP blocking, request throttling).
Ensure compliance-readiness for GDPR/CCPA/PDPL, including logging, encryption, and data isolation

Collaboration & Support

Work with AI/ML engineers to optimize GPU clusters or cloud inference nodes.
Partner with QA engineers to integrate automated load/resilience testing.
Support operations teams with documentation, playbooks, and incident response.

Qualifications

Must-Have Skills :

Proven experience with AWS (EC2, RDS, DynamoDB, IAM, CloudWatch, KMS).
Strong background with Docker & Kubernetes in production.
CI/CD pipeline design (GitHub Actions, GitLab CI, or Jenkins).
Infrastructure-as-Code (Terraform, CloudFormation, or Ansible).
Monitoring and observability (Grafana, Prometheus, ELK stack).
Linux system administration and networking expertise.

Nice-to-Have Skills

Experience with Redis, RabbitMQ, and Celery in production.
Familiarity with Django/ASGI-based apps (Daphne, NGINX).
Understanding of compliance frameworks (GDPR, PDPL, CCPA).
Security testing, WAF tuning, and penetration testing exposure.
Experience with AI/ML infrastructure (GPU clusters, inference optimization).

Soft Skills

Strong problem-solving and debugging mindset.
Clear communicator, able to document and share knowledge effectively.
Comfortable in cross-functional teams spanning product, AI, backend, and QA.
Ownership mentality with a focus on uptime, reliability, and resilience.

What We Offer

Opportunity to work on cutting-edge holographic avatar technology.
Collaborative and innovative environment with cross-functional exposure.
Flexible work arrangements in Kuala Lumpur HQ with hybrid options.
Growth opportunities in AI, cloud, and real-time rendering domains.

(ref:hirist.tech)

Lavu Tech Solutions Sdn Bhd

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