DevOps Engineer

We're looking for a talented DevOps Engineer to join our team. As a DevOps Engineer, you will architect and operate scalable, resilient cloud environments, using advanced automation and AI-based tools to improve system health, reduce manual intervention, and optimize infrastructure costs.

Responsibilities

• Own the full lifecycle of the Coin Master platform. Ensure high availability, performance, and cost-efficiency across our multi-region AWS environment.
• Design and maintain robust, high-performance infrastructure using IaC. You will focus on building self-healing environments where AI agents continuously monitor and remediate issues in real-time.
• Embed security into the infrastructure layer. Leverage AI-assisted tooling to proactively identify and patch vulnerabilities across our Kubernetes clusters and AWS stack.
• Build tools and services that empower our engineering team to ship code faster. You are the architect of the platform, ensuring it is intuitive, scalable, and fully automated.

Requirements

• 3+ years of DevOps experience. Proven track record in managing production-ready Kubernetes clusters, AWS infrastructure, and high-traffic distributed systems.
• Experience integrating AI tools into daily workflows, including hands-on use of AI agents (Cursor, Claude Code or similar) for infrastructure automation, planning, and debugging.
• Extensive management experience of multiple AWS accounts spanning various regions, proficient in services like Lambda, CloudFront, SQS, VPC, and IAM.
• Strong understanding of cloud cost optimization at scale through architectural design and automated resource management.
• Deep proficiency with modern CI/CD platforms (GitHub Actions, Jenkins, ArgoCD).

Advantages

• Experience with LLM orchestration (LangChain, LangGraph) or building internal tools/agents that interact with cloud APIs to automate operational tasks.
• Hands-on experience with Kafka (MSK/Apache Kafka) and high-performance caching layers like Redis/Elasticache.
• Experience with CloudFlare management and complex edge-computing configurations.

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