Senior Site Reliability Engineer
Hard Rock Digital, LLC5 months ago
Remote, PolandSenior
Responsibilities
- Maintain the availability, reliability, scalability, and performance of high-traffic Java applications in distributed production environments.
- Troubleshoot application and infrastructure issues, perform JVM tuning, and support performance testing and optimization.
- Deploy and manage Grafana, Prometheus, Loki, Mimir, and Alloy for monitoring, logging, alerting, and telemetry.
- Create dashboards, alerts, log queries, and observability strategies for application and infrastructure health.
- Design and operate AI agents and agentic workflows for alert triage, root-cause analysis, runbook execution, incident response, and incident summarization.
- Integrate LLM agents with Kubernetes, Grafana, Jira, Slack, PagerDuty, and other infrastructure APIs using tool calling and human approval workflows.
- Build and maintain MCP servers and integrations that expose internal systems to AI agents.
- Evaluate and operationalize agentic frameworks and workflow platforms, and implement guardrails, evaluation harnesses, and feedback loops.
- Participate in incident response, post-mortems, root-cause analysis, and continuous improvement initiatives.
- Build self-service tools and chatbot interfaces for querying system status, retrieving logs, and executing standard operating procedures.
- Measure operational toil reduction and collaborate with developers, architects, data and ML engineers, DevOps teams, and NOC teams.
Requirements
- A degree in Computer Science or a related field, or equivalent professional experience.
- At least 5 years of experience in SRE, DevOps, or similar infrastructure roles managing large-scale, high-availability production systems.
- At least 3 years of hands-on experience managing production Kubernetes clusters, including architecture, networking, storage, security, autoscaling, upgrades, and multi-cluster management.
- Proficiency with kubectl, Helm, Kubernetes operators, container troubleshooting, Grafana, PromQL, Loki, and Grafana Alloy.
- Hands-on experience managing Java applications in distributed environments, including JVM tuning and optimization.
- Expertise with AWS preferred, with GCP or Azure also valued.
- Familiarity with Terraform, Terragrunt, Ansible, and ArgoCD, plus scripting in Python, Bash, or Go and experience with CI/CD and deployment automation.
- Experience with on-call rotations, incident response, and root-cause analysis.
- At least 1 year of practical experience building or operating AI/LLM-powered tools, agents, or workflows in production or production-adjacent environments.
- Experience with tool calling, RAG, multi-step reasoning, LLM APIs, agentic orchestration frameworks, prompt engineering, MCP servers, and AI-assisted coding tools.
- Understanding of AI safety, hallucination mitigation, human-in-the-loop design, and operational safeguards.
- Preferred qualifications include vector database experience, LLM evaluation frameworks, open-source AI/ML or SRE contributions, and data engineering or ML pipeline experience.
- Strong communication, problem-solving, mentoring, automation, and continuous-improvement abilities.
Benefits
- Fully remote work from Poland only.
- Full-time B2B engagement.
- Autonomy to experiment with AI tools and leadership support for deploying them in production.
Tech Stack
Categories
AI ApplicationsSite Reliability
About Hard Rock Digital, LLC
Hard Rock Digital builds and operates the Hard Rock brand’s online sportsbook, real-money casino, and social casino products for U.S. customers, including the Hard Rock Bet app. The company develops an in-house odds and pricing platform and other backend systems that power live wagering. Founded in 2020 and headquartered in Hollywood, Florida, it serves regulated U.S. markets and is aligned with Hard Rock International and the Seminole Tribe of Florida.