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Leidos

Search Engineer

Leidos is seeking a Search Engineer to support, enhance, and modernize our enterprise search platform for a Federal customer. This role is responsible for both software development and operations ...

GoodApple

Search Strategist

Manhattan, NY · On-site

$80K/yr

About the Role A Paid Search Strategist has mastered the fundamentals of Search and is beginning to develop their own point of view on tools, campaign structure, and the evolving Search landscape.

Good Apple

Search Strategist

Manhattan, NY · On-site

About the Role A Paid Search Strategist has mastered the fundamentals of Search and is beginning to develop their own point of view on tools, campaign structure, and the evolving Search landscape.

Perfect Search Media

SEO Analyst

Chicago, IL · On-site +1

The SEO Analyst will work with our existing SEO team to provide strategic SEO services for our clients. You will manage day-to-day SEO strategy creation and execution for an assignment of SEO ...

Perfect Search Media

SEO Analyst

Chicago, IL

The SEO Analyst will work with our existing SEO team to provide strategic SEO services for our clients. You will manage day-to-day SEO strategy creation and execution for an assignment of SEO ...

OMNI HR Solutions

Search Consultant

Overland Park, KS · On-site

We're seeking a Search Consultant (Part-Time) to join our Executive Search Practice. This is a flexible, project-based role for an experienced recruiter who thrives in a fast-paced, relationship ...

OMNI HR Solutions

Search Consultant

Overland Park, KS · On-site

We're seeking a Search Consultant (Part-Time) to join our Executive Search Practice. This is a flexible, project-based role for an experienced recruiter who thrives in a fast-paced, relationship ...

Dore Partnership

Search Coordinator

Manhattan, NY · Hybrid

Search Coordinators act as project managers, seamlessly managing responsibilities across client, candidate, and internal facets of each search process . You will collaborate closely with internal ...

Robert Half

Search Coordinator

Reno, NV

$50K - $55K/yr

JOB REQUISITION Search Coordinator LOCATION RENO Job Summary Robert Half is seeking a Search Assistant to support a dynamic, results-oriented, executive search/consulting team, specializing in ...

Genuine Parts Company

Search Engineer

Birmingham, AL · On-site

Search Engineer (Software Engineer III) Must be Authorized to work in the U.S. without sponsorship. ABOUT THE ROLE We're building intelligent product search that understands intent, learns from ...

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How much do search jobs pay per year?

As of Jun 1, 2026, the average yearly pay for search in the United States is $75,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $91,500.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Job in Search?

The qualifications required to get a job in search depend on the responsibilities and duties of your particular position. SEO analysts and evaluators must have strong technical skills, including a variety of methods by which you can scrape the internet for important data relevant to your research. You should also have a firm grasp of marketing and copywriting skills, and some experience with experiment design, which helps in determining which of your products is most effective in getting search engine results for your clients. Good verbal and written communication skills are also essential.

What are the key skills and qualifications needed to thrive as a Search Engine Optimization (SEO) Specialist, and why are they important?

To thrive as a Search Engine Optimization (SEO) Specialist, you need a strong understanding of search engine algorithms, keyword research, and content optimization, generally supported by experience in digital marketing. Proficiency with tools like Google Analytics, SEMrush, Ahrefs, and certifications such as Google Analytics Individual Qualification are typically required. Analytical thinking, creativity, and strong communication skills help you develop effective strategies and collaborate with content and web development teams. These skills are crucial for improving website visibility, driving organic traffic, and achieving business growth in a competitive digital landscape.

What are some common challenges faced by professionals in search-related roles, and how can they be addressed?

Professionals in search roles, such as search engine optimization (SEO) specialists or search engineers, often face challenges like keeping up with constantly evolving algorithms, balancing user experience with technical requirements, and analyzing large sets of data to improve search relevance. To address these, staying updated with industry trends, regularly testing and refining strategies, and collaborating closely with content creators and developers are essential. Open communication within multidisciplinary teams also helps ensure that both technical and business goals are met effectively.

What are Search jobs?

Search jobs typically refer to roles focused on improving, managing, or analyzing search engines or search functionalities within websites and applications. Professionals in this field may work as search engine optimization (SEO) specialists, search engineers, or search analysts. Their main responsibilities include optimizing content for better visibility in search engine results, enhancing user search experience, and analyzing search data to improve performance. These roles are crucial in helping users find relevant information efficiently and driving traffic to websites.

What is the difference between Search vs Recruiter?

AspectSearchRecruiter
CredentialsVaries; often requires marketing, sales, or business backgroundTypically requires HR, business, or related certifications
Work EnvironmentOften in consulting firms, executive search firms, or corporate HRPrimarily in staffing agencies, corporate HR, or recruitment firms
Industry UsageUsed in executive search, consulting, and corporate hiringCommon in staffing, HR departments, and recruitment agencies
Search & Comparison IntentPeople looking for specialized executive or niche talent searchIndividuals seeking employment opportunities or recruitment services

Search professionals focus on identifying and attracting top talent for specific roles, often at executive levels, using specialized search techniques. Recruiters handle the end-to-end hiring process, including sourcing, screening, and placing candidates. While both roles involve talent acquisition, Search is more strategic and targeted, whereas Recruiters manage broader hiring processes across various levels.

More about Search jobs
What cities are hiring for Search jobs? Cities with the most Search job openings:
What are the most commonly searched types of Search jobs? The most popular types of Search jobs are:
What states have the most Search jobs? States with the most job openings for Search jobs include:
What job categories do people searching Search jobs look for? The top searched job categories for Search jobs are:
Search jobs near you
Infographic showing various Search job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $75,500 per year, or $36.3 per hour.
Search Engineer

Search Engineer

Leidos

Remote

Full-time

Posted 11 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

57th of 425 rated business services

Job description

Leidos is seeking a Search Engineer to support, enhance, and modernize our enterprise search platform for a Federal customer. This role is responsible for both software development and operations & maintenance of search applications and indexing pipelines built on Apache Solr, Flume, Spark, Linux, Microsoft SQL Server, and AWS OpenSearch.
The engineer will ensure day-to-day reliability of indexing and retrieval services by addressing indexing failures, data issues, search syntax and relevance problems, performance degradation, vulnerability remediation, patching, and recurring maintenance activities. This role also supports bulk indexing operations, synonym refreshes, name normalization, data purges, and SLA restoration for search and retrieval services.
In addition to supporting the existing environment, this role will help evolve the platform toward modern search capabilities using AWS OpenSearch, semantic search, vector embedding, hybrid retrieval, and Retrieval-Augmented Generation (RAG). The ideal candidate combines strong hands-on troubleshooting and operational ownership with practical experience in search engineering, data pipelines, and cloud-based modernization.
Key Responsibilities
  • Maintain, support, and enhance enterprise search applications and indexing pipelines running on Solr, Spark, Flume, AWS OpenSearch, and Linux-based infrastructure.
  • Perform operations and maintenance activities including patching, vulnerability management, system administration, monitoring, configuration management, and routine platform support.
  • Troubleshoot and resolve indexing failures, data issues, query syntax problems, relevance issues, and search performance degradation.
  • Monitor indexing jobs and platform health to ensure indexing SLAs and search/retrieval SLAs are consistently met.
  • Fine-tune search configurations, analyzers, synonyms, ranking logic, and index structures to optimize search relevance, indexing throughput, and retrieval performance.
  • Perform scheduled maintenance activities including weekly, monthly, and biannual data purges, index cleanup, retention-related tasks, and storage optimization.
  • Support quarterly bulk indexing operations, including large-scale reloads, synonym refreshes, name normalization, and post-load validation.
  • Work with source data stored in Microsoft SQL Server to investigate ingestion issues, validate upstream data quality, analyze indexing results, and review operational or search-related metrics captured after indexing.
  • Use SQL to query source and operational data, investigate discrepancies, support troubleshooting, and validate indexing outcomes and SLA-related metrics.
  • Use Azure Log Analytics and related monitoring tools to analyze logs, investigate failures, identify operational trends, and support root cause analysis for indexing, search, and data-processing issues.
  • Maintain awareness of Java-based source-to-target data comparison and validation tools, review their findings regularly, and address data quality, synchronization, and accuracy issues between source systems and indexed search platforms.
  • Investigate and resolve data ingestion, transformation, indexing, and retrieval issues across upstream and downstream systems.
  • Build and improve automation, scripts, and support tooling that increases reliability, reduce operational overhead, and improve observability.
  • Support modernization of legacy search capabilities toward AWS OpenSearch, semantic search, vector search, hybrid retrieval, and RAG-enabled solutions.
  • Document procedures, runbooks, support processes, recurring maintenance activities, and operational findings, and collaborate with cross-functional teams to improve search quality and system stability.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.
  • 5+ years of experience in software engineering, enterprise search, search platform support, information retrieval, or large-scale data systems.
  • Hands-on experience supporting and enhancing enterprise search platforms such as Apache Solr, OpenSearch, Elasticsearch, Lucene, or similar technologies.
  • Experience working in Linux production environments, including troubleshooting, configuration updates, and routine system support.
  • Strong experience with indexing, schema design, mappings, analyzers, query processing, search relevance tuning, and performance optimization.
  • Experience supporting batch or large-scale data ingestion and processing pipelines using Spark and related technologies.
  • Strong programming skills in Java and/or Python.
  • Working knowledge of Microsoft SQL Server, including the ability to query source data, validate data flows, investigate discrepancies, and analyze indexing or operational metrics.
  • Experience using log monitoring and observability tools to investigate failures and support operational troubleshooting; exposure to Azure Log Analytics strongly preferred.
  • Experience troubleshooting distributed systems, indexing pipelines, data synchronization issues, and production search clusters.
  • Experience supporting SLA-driven operational environments with accountability for service restoration, recurring maintenance, and issue resolution.
  • Ability to understand and work with validation, comparison, and support tools used to verify data accuracy between source and target systems.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills, including the ability to work across engineering, operations, and stakeholder teams.
  • Work in US eastern time zone, and available to travel to Washington, DC area once a year.
  • Ability to clear Public Trust Clearance.

Preferred Qualifications
  • Experience administering and tuning AWS OpenSearch in production environments.
  • Experience modernizing legacy search platforms and migrating workloads from Solr to OpenSearch or similar cloud-native search technologies.
  • Experience with semantic search, vector search, embeddings, hybrid retrieval, and AI-assisted search solutions.
  • Experience supporting or implementing Retrieval-Augmented Generation (RAG) retrieval pipelines. Any exposure in integrating knowledge graph with RAG pipeline is preferred.
  • Familiarity with chunking strategies, metadata enrichment, synonym management, reranking, and retrieval optimization.
  • Experience measuring and improving search quality using metrics such as precision, recall, MRR, NDCG, and latency.
  • Experience with Apache Flume, Kafka, or similar ingestion and streaming technologies.
  • Experience building automation for maintenance operations, data validation, bulk indexing, and support workflows.
  • Experience in utilizing GenAI in optimizing the O&M processes, continuous improvements and/or driving innovations.
  • Experience working in regulated, security-sensitive, or government environments.
  • Experience supporting enterprise document retrieval, knowledge discovery, or content search use cases.

Desired Technical Skills
  • Apache Solr
  • AWS OpenSearch
  • Apache Spark
  • Apache Flume
  • Linux system support and administration
  • Microsoft SQL Server, T-SQL
  • Java
  • Python
  • REST API development
  • Search relevance tuning
  • Data validation and reconciliation
  • Performance tuning
  • Monitoring and observability
  • Semantic search
  • Vector embeddings
  • Hybrid retrieval
  • RAG retrieval pipelines
  • AWS cloud services

What Success Looks Like
In this role, you will:
  • Keep existing search applications stable, supportable, and performant.
  • Ensure indexing operations run reliably and indexing SLAs are met.
  • Restore and maintain retrieval SLAs through troubleshooting, tuning, and operational discipline.
  • Identify and resolve data issues across source, ingestion, indexing, and target search layers.
  • Execute recurring maintenance activities such as patching, vulnerability remediation, data purges, bulk indexing, synonym refreshes, and post-load validation with minimal disruption.
  • Improve observability, support processes, and operational efficiency across the search platform.
  • Help define and implement a practical modernization path from legacy Solr-based search to AWS OpenSearch and AI-enabled retrieval capabilities.
  • Should demonstrate strong ownership mindset to complete tasks independently, communicate effectively with across teams in achieving desired accomplishments.

Nice-to-Have Domain Experience
  • Enterprise search
  • Knowledge management systems
  • Document and content retrieval
  • Search operations and maintenance
  • Data quality validation and reconciliation
  • AI-assisted search and retrieval systems
  • GenAI innovations
  • Public sector or regulated environments

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
April 21, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $87,100.00 - $157,450.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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