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Elastic Engineer Jobs in Georgia (NOW HIRING)

Rockwell Automation

$114K - $172K/yr

The Elastic Observability Engineer is an important member of our Cloud Operations team, building a world-class Application Performance Monitoring solution to support observability-driven development.

Tech Tammina LLC

ELK Engineer

Alpharetta, GA · On-site

... Elastic clusters focusing on logging use cases. 2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots and searchable snapshots for efficient data storage. 3. Design and ...

ACI Infotech

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

SQL databases, SQL servers, Azure Synapse Analytics, Azure SQL, Dedicated SQL Pools, SQL Elastic Pools, etc., • Experience using Azure DevOps: Repos, CI/CD Pipelines, Test Plans, • Strong ...

The Swift Group, LLC

DevOps Engineer

Augusta, GA · On-site

$41.50 - $57/hr

... Engineer to work hands-on with cloud infrastructure, containerized platforms, and automation ... on Elastic Kubernetes Service (EKS) • Deploy and manage containerized applications using ...

ClifyX

Cloud Infrastructure Engineer AWS

Alpharetta, GA · On-site

$53 - $70.75/hr

... Docker, Elastic Search Preferred : • Experience working in enterprisescale environments ... DevOps or platform engineering roles with a strong focus on AWS services and automation • ...

OneTrust

Senior Dev Ops Engineer

Atlanta, GA · On-site

$125K - $160K/yr

The Challenge We are hiring a DevOps Engineer who will collaborate between our Engineering and ... Knowledge in collecting distributed logs/events and automating triggers based on events (Elastic ...

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Elastic Engineer information

See Georgia salary details

$32.1K

$97.8K

$161.7K

How much do elastic engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for elastic engineer in Georgia is $97,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,100.00 and $127,900.00 per year, depending on experience, location, and employer.

What does an Elastic Engineer do?

An Elastic Engineer specializes in designing, implementing, and optimizing solutions using Elasticsearch and the Elastic Stack. They manage cluster configurations, indexing strategies, and query performance to ensure efficient data retrieval and search functionality. They also monitor system health, troubleshoot issues, and integrate Elastic solutions with other technologies. Additionally, they may work on security, scalability, and automation to enhance performance and reliability.

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

To thrive as an Elastic Engineer, you need a strong background in managing and optimizing Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) deployments, typically supported by experience in system administration, scripting, and cloud platforms. Familiarity with monitoring tools, containerization (Docker, Kubernetes), and Elastic Certified Engineer credentials are often highly valued. Strong problem-solving abilities, collaboration skills, and clear communication enable success within multidisciplinary tech teams. These competencies ensure effective data ingestion, search, and analytics solutions, which are essential to maintaining robust infrastructure and business insights.

What challenges do Elastic Engineers face in their day-to-day work?

As an Elastic Engineer, you may encounter challenges around optimizing Elasticsearch clusters for performance, managing large-scale data ingestion, and troubleshooting complex indexing or query issues. Balancing scalability, security, and cost-efficiency can also be demanding, especially as data and user requirements grow. You'll often collaborate with DevOps, data engineering, and security teams to ensure systems run smoothly and securely. Proactively monitoring for issues and fine-tuning configurations are key parts of maintaining a stable and high-performing Elastic Stack environment.

How much do elastic engineers make?

Elastic engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and skill level. Professionals with expertise in Elasticsearch, distributed systems, and cloud environments may have higher earning potential.

What is the salary of elastic engineer?

The salary of an Elastic Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced engineers with skills in Elasticsearch, Kibana, and related tools can earn higher salaries.

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

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

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

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

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

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

Elastic Engineer jobs near you
Infographic showing various Elastic Engineer job openings in Georgia as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $97,834 per year, or $47 per hour.

Elastic Stack Engineer/ Elastic Stack Data Engineer

Amicis Global

Alpharetta, GA • On-site

$80 - $90/hr

Contractor

Re-posted 28 days ago

Job description

Title: Elastic Stack Engineer/ Elastic Stack Data Engineer
Location: Alpharetta, GA 30005
Duration: 12 Months
Pay: $80-$90/hr on W2 
 
Qualifications -
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:
1. Build, maintain, and optimize Elastic clusters focusing on logging use cases.
2. Implement and manage Index Lifecycle Management (ILM) policies, snapshots,s and searchable snapshots for efficient data storage.
3. Design and implement Hot-Warm- Cold architecture for scalable and cost-effective data management.
4. Configure index templates to ensure consistency and best practices across all indices.
5. Architect and size Elasticsearch clusters based on business requirements and performance needs.
6. Automate deployment and configuration management using Ansible.
7. Write shell scripts to automate routine tasks and optimize operations.
8. Utilize GIT for version control and collaborative configuration management.
9. Plan and execute Elastic Stack version upgrades and patching with minimal downtime.
10. Configure Grafana dashboards for monitoring and visualization of Elasticsearch data.
11. Set up and manage alerting systems to monitor cluster health and performance.
12. Integrate Logstash, Kafka and Beats for data ingestion and log forwarding.
13. Troubleshoot, diagnose, and resolve issues related to Elasticsearch, Logstash, Kibana, and related components.
14. Collaborate with cross-functional teams to gather requirements and designan elastic stack solution tailored to specific use cases.