ZipRecruiter

Log In

1

Software Engineer Data Infrastructure Opensearch Jobs

SentiLink

Senior Software Engineer, Data Platform

$125K - $165K/yr

As a Senior Software Engineer on the Data Platform team, you will own the data infrastructure ... NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient ...

next page

Showing results 1-20

All JobsSoftware Engineer Data Infrastructure Opensearch Jobs

Software Engineer Data Infrastructure Opensearch information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 21, 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 July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% 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

Atoms

Austin, TX • On-site

$121K - $160K/yr

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Atoms is a company focused on transforming the physical world through robotics and AI. They are seeking a Senior Software Engineer for their data infrastructure team to build and maintain software tools that help extract insights from data and support product teams in achieving business requirements.
Responsibilities:
• Work on a data intelligence infrastructure team, which is focused on gaining intelligence from the mass amount of data that has been collected over the years serving restaurants across the world.
• Build and maintain software and tools that enable data scientists, ML engineers, analysts and engineers to extract insights, sell market intelligence to merchants and make data driven decisions for the company
• Help product teams to build real-time and batch processing pipelines to achieve business requirements
• Research latest technologies in the open source communities and bring back insights to apply within the team
Qualifications:
Required:
• 3+ years of experience as a software engineer, and the ability to work independently in a fast-paced, dynamic environment, taking initiative to drive results.
• Enthusiastic about learning new codebases, and making changes in large complex systems safely and efficiently.
• Proficiency in Java or GoLang programming languages. We’re looking for engineers who are comfortable with either language and have experience building high-performance systems.
• Familiarity with Azure and GCP cloud environments, and deployment tools such as Docker and Kubernetes.
Preferred:
• Background in infrastructure or platform development is preferred.
• Experience in real estate, food technology, or related industries is a bonus, though not required. A passion for solving complex problems in these sectors is key.
Company:
Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate tasks across various industries. Founded in 2026, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply