Site Reliability Engineer

TekClap is seeking a Site Reliability Engineer – OpenSearch to ensure the highest levels of availability, performance, scalability, and Quality of Service for mission-critical cloud services. The role focuses on the reliability, operations, automation, and continuous improvement of distributed search and analytics platforms built on OpenSearch.

Responsibilities:

• Provision, build, deploy, monitor, operate, and support cloud services in a globally distributed team environment
• Architect, build, deploy, and maintain high-performance OpenSearch clusters and platforms from the ground up
• Administer and optimize OpenSearch environments for high availability, resiliency, scalability, security, and performance
• Monitor and troubleshoot cluster health, node performance, indexing throughput, search latency, shard allocation, replication, and storage utilization
• Analyze and resolve operational issues, platform instability, and production incidents across infrastructure, platform, and application layers
• Conduct incident response, root cause analysis, and post-incident remediation to drive continuous improvement
• Maintain the integrity and security of servers, systems, and OpenSearch platform infrastructure
• Support platform lifecycle activities including installation, configuration, upgrades, patching, hotfixes, backup, restore, and disaster recovery
• Develop and maintain monitoring policies, alerting standards, operational runbooks, and support procedures
• Automate testing, deployment, scaling, recovery, and operational workflows for OpenSearch and related cloud services
• Ensure proper resource allocation and capacity planning across compute, memory, storage, and network resources
• Partner with product development and engineering teams to design and enhance service reliability and operational readiness
• Develop and implement testing strategies and document results for platform changes and operational improvements
• Support log ingestion, index management, retention policies, lifecycle management, and search performance tuning
• Work in a diverse environment and cross-train with other global team members
• Participate in an on-call rotation and support weekend or after-hours operational needs as required

Requirements:

• Expert with Kubernetes, including troubleshooting, operations, management, and configuration of complex Kubernetes services
• Proven hands-on expertise designing, building, deploying, supporting, and maintaining OpenSearch clusters and platforms from scratch in production environments
• Strong experience with OpenSearch administration, cluster architecture, performance tuning, scaling, upgrades, and troubleshooting
• Experience with index design, shard and replica strategy, cluster sizing, node management, snapshot/restore, backup, and disaster recovery
• Strong understanding of distributed systems, search platforms, indexing pipelines, query optimization, and high-availability architectures
• Expertise with Git
• Expertise with Concourse, including setup, management, and troubleshooting of new pipelines
• Expertise with Linux, specifically SUSE and Ubuntu
• Expertise with Kafka, Zookeeper, and Big Data technologies
• Expert in development of automation for testing, deployment, scalability, and management of cloud services
• Expertise with building, implementing, and/or supporting cloud monitoring tools
• Expert knowledge of cloud computing, infrastructure operations, and databases
• Expert understanding of web services, networking, virtualization, and internet protocols
• Ability to multitask and handle various projects, deadlines, and changing priorities
• Excellent communication and prioritization skills
• Expertise with security fundamentals as they pertain to SaaS multi-tenant application systems
• Strong interpersonal, presentation, and customer service skills
• Experience with AWS services including Route 53, EC2, S3, CloudWatch, DynamoDB, RDS, IAM, ACM, KMS, and VPC
• Experience deploying and operating OpenSearch in AWS-based environments
• Experience with Cloud Foundry-based environments
• Experience with Jenkins, Chef, and/or Terraform
• Exposure to and understanding of troubleshooting IP networks and application stacks
• Experience with observability tools such as Prometheus and Grafana
• Experience with log ingestion pipelines, index lifecycle management, retention strategies, and search platform security controls
• Familiarity with capacity forecasting, performance benchmarking, and resilience testing for distributed search platforms