Platform Engineer

Title: Lead Platform Engineer (SRE) (IC3)

Work Location: Evansville, IN, Baltimore, MD, Wilmington, DE, Charlotte, NC, or Irving, TX. (Hybrid role)

Duration: 12+ months

Key Responsibilities

Platform Design & Development

• Architect and deploy scalable Elasticsearch solutions for search, observability, and logs/metrics analytics’ use cases.
• Design and implement ELK/Elastic Stack (Elasticsearch, Logstash, Kibana) and complementary pipelines.
• Create and manage multi-node clusters across availability zones in cloud and/or on-prem environments.
• Translate business requirements into technical designs, including indexing strategies, shard allocation, and data modeling

Operations & Support

• Monitor, maintain, and troubleshoot ELK/Elastic environments & Elasticsearch clusters for performance, stability, and data integrity.
• Perform performance tuning namely query optimization, indexing pipelines and shard rebalancing.
• Conduct capacity planning, configuration management, and continuous improvement via metrics, alerts, and automation.
• Execute version upgrades, patching, and backward-compatible migrations with minimal downtime.

Automation & DevOps Integration

• Build and maintain Infrastructure as Code (Terraform/Ansible), CI/CD pipelines, and automation scripts (Python, Bash, etc...).
• Integrate Elasticsearch with cloud providers, cloud-native services, and other opensource observability tools.
• Enable self-service capabilities for development teams via APIs, templates, and dashboards

Collaboration & Enablement

• Partner with DevOps, Security, and AppDev teams to integrate Elasticsearch into microservices, CI/CD, and monitoring workflows.
• Provide expert guidance, code/config reviews, and lightweight scripting to accelerate feature delivery.
• Create and maintain runbooks, architecture diagrams, KPIs dashboards (Kibana), and troubleshooting guides.

Innovation & Continuous Improvement

• Evaluate and adopt new Elastic features, plugins, and ecosystem tools.
• Lead proof-of-concepts for advanced use cases (machine learning, cross-cluster replication etc…).
• Identify automation opportunities and drive platform resilience initiatives.
• Mandatory Skills:
• 3–5+ years of hands-on experience Elasticsearch administration in enterprise environments
• Proven track record designing and deploying ELK/Elastic Stack at scale
• Expert in Elasticsearch architecture: nodes, shards, replicas, indexing, search, aggregations, APIs
• Proficiency in scripting/automation: Python, Bash, Ansible; Go or Java a plus
• Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker)
• Solid grasp of distributed systems, networking, and storage (EBS, GP3, etc.)
• Experience with automation and scripting (Python, Bash, Terraform, Ansible, or similar)
• Deep knowledge of system performance tuning, incident management, and root cause analysis
• Familiarity with CI/CD pipelines (GitHub,Gitlab) and DevOps best practices
• Excellent problem-solving and communication skills.

Desired Skills

• Elastic Certified Engineer or Elastic Certified Observability Engineer
• Certifications in AWS (Solutions Architect/Developer) and/or Azure (Azure Administrator/Solutions Architect/Devops).
• Experience migrating elasticsearch cluster from on-prem to cloud [AWS/Azure/ESS]
• Knowledge of security and compliance monitoring in cloud environments
• Background in software development or SRE