Senior Site Reliability Engineer

This is a fully remote position, open to applicants in Florida.

📋 Description

• Ensure the availability, reliability, and performance of high-traffic Java applications within distributed environments.

• Diagnose and resolve intricate issues across both production and non-production settings.

• Carry out performance testing and monitoring before and after deployments.

• Enhance Java application performance through JVM tuning, effective resource management, and horizontal scaling.

• Deploy and oversee Grafana, Prometheus, Loki, Mimir, and Alloy for monitoring, logging, and alerting purposes.

• Develop and implement observability strategies, dashboards, alerts, and log queries.

• Integrate AI/ML models for anomaly detection, predictive alerting, intelligent alert correlation, and noise reduction.

• Design, construct, and manage agentic AI workflows for alert triage, root cause analysis, runbook execution, and incident summarization.

• Create tool-calling LLM agents that integrate with Kubernetes, Grafana, Jira, Slack, and PagerDuty.

• Build and sustain MCP servers and integrations that expose internal systems to AI agents.

• Assess and operationalize LLM frameworks and orchestration platforms for production agentic systems.

• Establish guardrails, evaluation harnesses, and feedback loops to ensure safe and improving AI outputs.

• Advocate for AI-assisted development and operational practices throughout the engineering team.

• Assist in incident response, perform post-mortems, identify root causes, and document lessons learned.

• Create AI-augmented automation, self-service tools, and chatbot interfaces for operational workflows.

• Measure and report on toil-reduction metrics.

• Collaborate with developers, architects, data/ML engineers, DevOps, and NOC teams.

• Relay SRE practices, AI capabilities, and operational insights to both technical and non-technical stakeholders.

⛳️ Requirements

• A degree in Computer Science or a related field, or equivalent professional experience.

• Over 5 years of experience in SRE, DevOps, or similar infrastructure roles, managing large-scale, high-availability production systems.

• More than 3 years of hands-on experience managing production Kubernetes clusters, with a deep understanding of architecture, networking, storage, and security.

• Experience with cluster autoscaling (Karpenter), upgrades, and multi-cluster management.

• Proficient with kubectl, Helm, Kubernetes operators, and container orchestration troubleshooting.

• Advanced expertise in the Grafana observability stack, including dashboards, alerting, visualization, and Grafana Alloy.

• Proficient in PromQL and experienced with Loki for log aggregation and analysis.

• Hands-on experience managing Java applications in distributed environments, including JVM tuning and optimization.

• Expertise in cloud platforms; AWS preferred, with GCP or Azure also considered valuable.

• Familiarity with Infrastructure as Code tools such as Terraform/Terragrunt or Ansible.

• Proficiency in ArgoCD for GitOps workflows and continuous deployment.

• Strong scripting skills in Python, Bash, or Go, with experience in building CI/CD pipelines and deployment automation.

• A proven track record in on-call rotations, incident response, and root cause analysis.

• At least 1 year of practical experience in building or operating AI/LLM-powered tools, agents, or workflows in a production or production-adjacent context.

• Capability to design agentic systems using tool calling, retrieval-augmented generation (RAG), or multi-step reasoning.

• Experience integrating LLM APIs such as Anthropic Claude, OpenAI, or open-source models into backend services or automation pipelines.

• Familiarity with at least one agentic orchestration framework or workflow engine, such as LangChain, LangGraph, CrewAI, n8n, Temporal, or equivalent.

• Understanding of prompt engineering best practices, including structured outputs, system prompts, and few-shot examples.

• Familiarity with AI-assisted coding tools such as Claude Code, Codex, or Cursor.

• Experience in building or using MCP (Model Context Protocol) servers.

• Awareness of AI safety, hallucination mitigation, and human-in-the-loop design patterns.

• Strong written and verbal communication skills.

• Ability to mentor junior team members on traditional SRE practices and AI-driven methodologies.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Flexible vacation policy.

• A hybrid or remote working environment.

• Startup culture supported by a secure, global brand.