Senior Site Reliability Engineer

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world, rooted in the Seminole Tribe of Florida and bringing a well-known entertainment brand to the digital space.

Core SRE & Infrastructure:

• Degree in Computer Science or equivalent experience.
• 5+ years in SRE, DevOps, or similar roles managing large-scale production systems.
• 3+ years managing Kubernetes clusters including architecture, networking, storage, security.
• Experience with cluster autoscaling (Karpenter), upgrades, multi-cluster management.
• Proficiency with kubectl, Helm, Kubernetes operators.
• Advanced expertise with Grafana stack, PromQL, and Loki.
• Hands-on experience with Java applications and JVM tuning.
• Cloud platform expertise (AWS preferred; GCP or Azure valued).
• Familiar with Terraform/Terragrunt or Ansible.
• Proficiency with ArgoCD and scripting (Python, Bash, Go).
• Experience with on-call, incident response, and root cause analysis.

AI, Automation & Agentic Systems:

• 1+ years practical experience building/operating AI/LLM-powered tools or workflows.
• Ability to design tool calling or multi-step reasoning agentic systems.
• Experience integrating LLM APIs (Anthropic Claude, OpenAI, etc.).
• Familiarity with agentic orchestration frameworks (LangChain, LangGraph, CrewAI, etc.).
• Understanding of prompt engineering best practices.
• Familiar with AI-assisted coding tools.
• Experience with MCP servers.
• Awareness of AI safety and human-in-the-loop design.

Preferred / Bonus:

• Experience with vector databases (Pinecone, Weaviate, pgvector).
• Experience with LLM evaluation frameworks (Galileo, LangSmith).
• Contributions to open-source AI/ML or SRE tooling.
• Background in data engineering or ML pipelines.

Soft Skills:

• Strong communication skills for diverse audiences.
• Proactive problem-solving and automation focus.
• Ability to mentor juniors in SRE and AI-driven approaches.
• Positive attitude and openness to feedback.

Application Reliability & Performance:

• Ensure availability, reliability, and performance of high-traffic Java-based applications in distributed environments.
• Troubleshoot and resolve complex issues in production and non-production.
• Participate in performance testing and monitoring.
• Optimize Java application performance focusing on JVM tuning and scaling.

Monitoring, Observability & AIOps:

• Deploy and manage the Grafana stack including Prometheus and Loki.
• Implement observability strategies.
• Create and maintain dashboards, alerts, and log queries.
• Integrate AI/ML models for anomaly detection and alerting.

AI & Agentic Workflow Engineering:

• Design and operate AI workflows automating alert triage, root cause analysis, and incident summarization.
• Develop LLM agents interacting with APIs like Kubernetes, Grafana, Jira, Slack, PagerDuty.
• Build and maintain MCP servers for AI tool exposure.
• Evaluate and operationalize LLM frameworks and orchestration platforms.
• Implement safety guardrails and feedback loops for AI outputs.
• Promote AI-assisted development and operations.

Incident Management & Root Cause Analysis:

• Support incident response and conduct post-mortems.
• Use AI tools to accelerate incident handling and pattern detection.
• Document and share lessons learned.

Automation & Toil Reduction:

• Identify and automate repetitive operational workflows.
• Build self-service tools and chatbots for system queries and procedures.
• Measure and report toil reduction.

Collaboration & Cross-functional Support:

• Collaborate with developers, architects, and ML engineers.
• Work with DevOps and NOC teams.
• Communicate SRE and AI capabilities to stakeholders.
• Provide feedback on application performance and observability.

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