Senior Infrastructure Engineer (OpenSearch)

4 Months ago • 7 Years +
Devops

Job Description

The Senior Infrastructure Engineer will be responsible for building a high-performance queuing/storage engine, working in a polyglot environment. They will design and develop high-volume, low-latency applications, contribute to all phases of the development life cycle, write efficient code, and evaluate system improvements. They will also maintain and evolve cloud infrastructure (AWS) and Kubernetes clusters. Expertise in OpenSearch is required, including scaling clusters, implementing sharding strategies, performance tuning, designing disaster recovery solutions, and optimizing vector search capabilities. The role requires hands-on experience deploying and managing self-hosted OpenSearch clusters in Kubernetes environments and monitoring performance metrics.
Good To Have:
  • Contributions to open source projects is a plus
Must Have:
  • 7+ years of industry experience
  • Experience with public cloud infrastructure providers (AWS/Azure/Google Cloud)
  • Experience with Terraform and Docker
  • Good understanding of Linux networking and security
  • Exceptional understanding of Kubernetes concepts
  • Experience with Golang/Python/Java/Ruby and databases such as PostgreSQL

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About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. 

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. 

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an “enterprise startup to bet your career on”

  • Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

We are looking for an exceptional Senior Infrastructure Engineer with experience in building high-performing, scalable, enterprise-grade applications. to join our growing team. In this role, you will be responsible for building a high-performance queuing/storage engine. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team. You will also be responsible for:

Software Engineering

  • Design and develop high-volume, low-latency applications for mission-critical systems and deliver high availability and performance

  • Contribute to all phases of the development life cycle

  • Write well-designed, testable, efficient code

  • Evaluate and propose improvements to existing system

  • Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

Infrastructure Engineering

  • Maintain and evolve application cloud infrastructure (AWS)

  • Maintain and evolve Kubernetes clusters

  • Infrastructure hardening according to compliance and security requirements

  • Maintenance and development of monitoring, logging, tracing, alerting solutions

OpenSearch Expertise

  • Experience scaling OpenSearch clusters to handle heavy query and indexing workloads, including optimizing bulk indexing operations and query throughput

  • Proficiency in implementing and managing effective sharding strategies to balance performance, storage, and recovery needs

  • Advanced knowledge of OpenSearch performance tuning, including JVM settings, field mappings, and cache optimization

  • Expertise in designing robust disaster recovery solutions with cross-cluster replication, snapshots, and restoration procedures

  • Experience implementing and optimizing vector search capabilities for ML applications, including k-NN algorithms and approximate nearest neighbor (ANN) search

  • Knowledge of custom OpenSearch plugin development for specialized indexing or query requirements

  • Hands-on experience deploying and managing self-hosted OpenSearch clusters in Kubernetes environments

  • Familiarity with monitoring OpenSearch performance metrics and implementing automated scaling solutions

Requirements

Qualifications / Experience / Technical Skills

  • BS/MS degree in Computer Science, Engineering or a related subject

  • 7+ years of industry experience

  • Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)

  • Experience with Terraform, Docker

  • A hands-on approach to implementing solutions

  • Good understanding of Linux networking and security

  • Exceptional understanding of Kubernetes concepts

  • Experience with Golang/Python/Java/Ruby (any) and databases such as PostgreSQL

  • Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

  • Communicate in English with  colleagues and customers

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