Site Reliability Engineer

Job Description

SAP NS2 is seeking a 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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

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  8+ years of hands-on experience in SRE or similar DevOps role

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  Experience deploying, and operating OpenSearch in a Kubernetes-based environment

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  Experience with Elasticsearch (as back up)

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  Expertise with Git

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  Strong background as a Backend SRE / Platform Engineer supporting large-scale distributed systems

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  Ability to build and scale OpenSearch infrastructure from initial deployment through production operations ("0 to 100")

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  Experience with Kubernetes administration, containerized workloads, and cloud-native architectures

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  Experience infrastructure automation, CI/CD, and SRE best practices

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