1

Elasticsearch Engineer Jobs in Georgia (NOW HIRING)

Elasticsearch Engineer Location: Alpharetta, GA - Only local to GA Rate- 85hr C2C- flex for a right match USC/GC Only Morgan Stanley Location: Must work on site in Alpharetta, GA Interview Process: 1 ...

Elasticsearch Engineer Location: Alpharetta, GA - Only local to GA Rate- 85hr C2C- flex for a right match USC/GC Only Morgan Stanley Location: Must work on site in Alpharetta, GA Interview Process: 1 ...

ELK Engineer (Onsite - Alpharetta, GA) ELK Engineer, Alpharetta, GA Locals, "7+ years of experience with ELK Stack: (Elasticsearch, Logstash, Kibana and beats), Ruby and/or Python, GIT and Unix Shell ...

The ideal candidate will work closely with Elasticsearch vendors and contribute to the design, engineering, and operational aspects of ELK implementations. Responsibilities : • Design, engineer ...

Senior Data Engineer

Atlanta, GA · Hybrid

$100K - $136K/yr

Data Engineer Location: Atlanta, Georgia (Hybrid Remote- 2 days onsite/ 3 days remote) Job Type ... Deploy and maintain Elasticsearch clusters in multi-cloud or on-premises environments. * Integrate ...

Senior AWS Platform Engineer

Alpharetta, GA · On-site

$102K - $140K/yr

Senior AWS Platform Engineer JOB SUMMARY Seeking multiple Senior AWS Cloud Engineers to support an ... Implement and support OpenSearch and Elasticsearch environments. Build and integrate streaming and ...

Senior AWS Platform Engineer

Alpharetta, GA · On-site

$102K - $140K/yr

This is a hands-on engineering role focused on cloud security, disaster recovery, platform ... OpenSearch and Elasticsearch environments. • Build and integrate streaming and messaging ...

Data Storage solutions such as Elasticsearch \n * Agile Methodologies \n * Strong CI\/CD experience \n \n \n \n \n \n

$80K - $90K/yr

Experience with search and indexing technologies such as Elasticsearch. - Experience in React, Next ... GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ...

next page

Showing results 1-20

Elasticsearch Engineer information

See Georgia salary details

$35

$51

$70

How much do elasticsearch engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for elasticsearch engineer in Georgia is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $42.83 and $61.53 per hour, depending on experience, location, and employer.

What is an Elasticsearch Engineer?

An Elasticsearch Engineer is responsible for designing, implementing, and managing search and analytics solutions using Elasticsearch. They optimize search performance, ensure data indexing efficiency, and maintain cluster health and scalability. Additionally, they integrate Elasticsearch with various applications, troubleshoot issues, and enhance system security. Their role often involves working with data processing pipelines, query optimization, and infrastructure management.

What does an Elasticsearch Engineer do?

A typical day for an Elasticsearch Engineer often involves designing and optimizing search architectures, developing custom queries or plugins, and ensuring the performance, security, and reliability of Elasticsearch clusters. You'll regularly collaborate with development teams to integrate Elasticsearch with various applications and may also monitor metrics, troubleshoot issues, and make improvements based on system usage data. Participation in code reviews and technical discussions is common, along with continuous learning to stay updated on new features and best practices. This hands-on and collaborative work environment helps ensure that large amounts of data are searchable and accessible to both technical and non-technical stakeholders.

What skills and qualifications are needed to be an Elasticsearch Engineer?

To thrive as an Elasticsearch Engineer, you need strong programming skills (particularly in Java, Python, or similar languages), in-depth knowledge of search algorithms and data indexing, and experience managing distributed systems. Familiarity with Elasticsearch, Kibana, Logstash (the ELK stack), cloud infrastructure (such as AWS or GCP), and relevant certifications like Elastic Certified Engineer are often required. Analytical problem-solving, attention to detail, and effective communication are key soft skills for success in this role. These abilities are crucial to design, implement, and optimize robust search solutions that efficiently meet business and user needs.

What are the most commonly searched types of Elasticsearch Engineer jobs in Georgia?

The most popular types of Elasticsearch Engineer jobs in Georgia are:

What are popular job titles related to Elasticsearch Engineer jobs in Georgia?

For Elasticsearch Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Elasticsearch Engineer jobs in Georgia look for?

The top searched job categories for Elasticsearch Engineer jobs in Georgia are:

Infographic showing various Elasticsearch Engineer job openings in Georgia as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $108,150 per year, or $52 per hour.

Elasticsearch Engineer

3B Staffing LLC

Alpharetta, GA • On-site

Full-time

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


Job description

Job title: Elasticsearch Engineer
Location: Alpharetta, GA - Only local to GA

Rate- 85hr C2C- flex for a right match

USC/GC Only

Morgan Stanley

Location: Must work on site in Alpharetta, GA

Interview Process: 1 Video interview and 1 in-person interview to meet team

Most candidates will have DevOps title and working on the ELK stack (ElasticSearch, LogStash, Kibana)

In this case, you want a SRE or subject matter expert with ElasticSearch.

Summary:

7 + years of experience with ELK Stack: Elasticsearch, Logstash, Kibana and beats. Good to have Ruby and/or Python, GIT and Unix Shell scripting knowledge .

Responsibilities include:

  • Build, maintain and optimize Elastic clusters focusing on logging use cases.
  • Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage.
  • Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
  • Configure index templates to ensure consistency and best practices across all indices.
  • Architect and size Elasticsearch clusters based on business requirements and performance needs.
  • Automate deployment and configuration management using Ansible.
  • Write shell scripts to automate routine task and optimize operations.
  • Utilize GIT for version control and collaborative configuration management.
  • Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
  • Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
  • Set up and manage alerting systems to monitor cluster health and performance.
  • Integrate Logstash, Kafka and Beats for data ingestion and log forwarding.
  • Troubleshoot, diagnose and resolve issues related to Elasticsearch, Logstash, Kibana and related components.
  • Collaborate with cross functional teams to gather requirements and design elastic stack solution tailored to specific use cases.