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Software Engineer Data Infrastructure Opensearch Jobs

HubSpot

Principal Software Engineer - Data Infrastructure

$138K - $185K/yr

The Principal Software Engineer in Data Infrastructure will help determine how those building blocks are designed, how they scale, and how engineers across HubSpot use them to create the next ...

Statsig

Software Engineer- Data(FUTURE ROLES)

Bellevue, WA · On-site

$129K - $155K/yr

Software Engineer-Data Platforms Statsig is on a mission to fundamentally change how software is ... The product we offer is based on the growth infrastructure powering big tech companies like Meta ...

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How much do software engineer data infrastructure opensearch jobs pay per year?

As of Jun 6, 2026, the average yearly pay for software engineer data infrastructure opensearch in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Software Engineer working on Data Infrastructure with OpenSearch?

Software Engineers in Data Infrastructure roles focusing on OpenSearch often encounter challenges such as optimizing search performance at scale, ensuring high availability and fault tolerance, and managing data ingestion pipelines. They must also address issues related to data consistency, security, and fine-tuning cluster configurations for specific workloads. Collaboration with DevOps, data engineers, and application developers is key to maintaining seamless integration and reliable operation of search capabilities across the organization.

What does a Software Engineer Data Infrastructure Opensearch do?

A Software Engineer Data Infrastructure specializing in Opensearch is responsible for designing, building, and maintaining scalable data systems that leverage Opensearch for search, analytics, and data indexing. They work on optimizing data pipelines, ensuring high availability, and improving the performance of large-scale distributed systems. Their role typically includes collaborating with data engineers, DevOps teams, and software developers to integrate Opensearch into company infrastructure, manage cluster operations, and implement best practices for data security and reliability.

What are the key skills and qualifications needed to thrive as a Software Engineer Data Infrastructure Opensearch, and why are they important?

To thrive as a Software Engineer Data Infrastructure Opensearch, you need a deep understanding of distributed systems, data indexing, and search algorithms, typically supported by a degree in computer science or a related field. Experience with Opensearch or Elasticsearch, as well as proficiency in languages like Java or Python and familiarity with cloud platforms, are commonly required, along with knowledge of CI/CD tools. Strong problem-solving abilities, effective teamwork, and clear communication set outstanding candidates apart. These skills ensure reliable, scalable data infrastructure and enable efficient handling of large-scale search and analytics workloads.
What job categories do people searching Software Engineer Data Infrastructure Opensearch jobs look for? The top searched job categories for Software Engineer Data Infrastructure Opensearch jobs are:
Software Engineer Data Infrastructure Opensearch jobs near you
Infographic showing various Software Engineer Data Infrastructure Opensearch job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 93% Full Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Software Engineer, Data Infrastructure

Senior Software Engineer, Data Infrastructure

Roberts Recruiting

Cambridge, MA • On-site

$125K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Infrastructure Engineer

The Data Infrastructure teams are responsible for building and maintaining data storage technologies across the product. Teams work with a variety of open source technologies like MySQL, Vitess, Hadoop HBase, Kafka, Spark, and Elastic Search all running on AWS.

One of the primary objectives is to automate the deployments, configuration, and recoverability of data stores to efficiently scale storage systems. Teams also take on projects to improve the client-side interaction with the data stores with analysis tools and wrapper client interfaces. A number of our teams are active contributors to the Open Source projects that they work on.

We're operationally responsible for a huge volume of traffic to and from these data stores. Our HBase clusters serve over 3 million requests/second across 220+ tables, while our ElasticSearch clusters serve over 20k searches/second and 50k indexes/second to 90+ billion documents.

Streaming that data to and from applications amounts to more than 3 GB/sec of data through our Kafka clusters, with hundreds of producers and consumers.

What We're Looking For

We're looking for talented software engineers to help us build the vision of making our database access simple, intuitive, highly performant and highly reliable to our customers and application developers.

The goal of the team is to implement a comprehensive set of intelligent features that will drive the productivity of using any of our data stores at scale and with the highest possible reliability.

Bonus points for being:

  • Someone with experience developing automation or is a power user of one or more of the above-mentioned data storage technologies.
  • Willingness and ability to work with the user base, in this case, other developers, to define and build tools that make the lives of application developers easier and their code less error-prone through automation.
  • Interested in working with and supporting infrastructure at scale.
  • Someone who has shown that they can solve complicated technical problems and analyze tradeoffs with empathy for the developers, yet building creative solutions.
  • Able to demonstrate pragmatic decision making and problem-solving abilities.

About Us

We help millions of organizations grow better, and we'd love to grow better with you. Our business builds the software and systems that power the world's small to medium-sized businesses. Our company culture builds connections, careers, and employee growth. How? By creating a workplace that values flexibility, autonomy, and transparency. If that sounds like something you'd like to be part of, we'd love to hear from you.

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