Haystack
← Back to Jobs
Remote
Technology

Site Reliability Engineer

TechWishUnited States🇺🇸United StatesPosted 10 Aug 2026

Why This Role Stands Out

This remote Site Reliability Engineer role at TechWish offers an exciting opportunity to build and optimize critical cloud services, focusing on high-performance OpenSearch platforms. You'll thrive here if you possess deep expertise in SRE and distributed systems, and are eager to contribute to a globally distributed team dedicated to ensuring exceptional service availability and performance.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Hello,

Role: Site Reliability Engineer

Location: 100% Remote

Job Description:

Site Reliability Engineer OpenSearch to help ensure the highest levels of availability, performance, scalability, and Quality of Service (QoS) for mission-critical cloud services. This role will focus on the reliability, operations, automation, and continuous improvement of distributed search and analytics platforms built on OpenSearch, while working in a diverse, globally distributed team environment.

The ideal candidate brings deep experience in site reliability engineering, DevOps, cloud operations, automation, observability, and distributed systems, with proven hands-on expertise architecting, building, deploying, operating, and optimizing high-performance OpenSearch clusters and platforms from the ground up in production environments.

General 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

Desired Qualifications

  • 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

Education

  • BS/BA degree in Computer Science, Management Information Systems, or related IT discipline preferred
  • Allowable substitution: An additional four (4) years of experience may be substituted for a BS/BA degree
  • 8+ years of experience

Additional Requirements

  • Participation in an on-call rotation for handling P1 incidents is required
  • Flexible schedule which may include weekend or after-hours work
  • Ability to work effectively in a diverse, collaborative, and globally distributed team environment

Skills

DynamoDB
AWS
Chef
Git
Grafana
Jenkins
Kafka
Kubernetes
Prometheus
Terraform

Similar jobs