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Elasticsearch Engineer Jobs in Michigan (NOW HIRING)

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

We partner with top companies to deliver high-quality talent in engineering, IT, and emerging ... Implement and manage Elasticsearch and Kibana for data indexing, search, and visualization * Ensure ...

Software Engineer

Wyoming, MI · On-site

$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 ...

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 ...

Advanced Software Engineer

Detroit, MI · On-site

$103K - $155K/yr

WHAT WE DO At Relativity, engineers do more than write code - they build systems that enable users ... Build and operate distributed search ingestion pipelines using Elasticsearch, including index ...

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Monitor application logs and system health using Kibana, Elasticsearch, and Logstash. * Implement ... Mentor junior engineers and contribute to technical best practices. Required Qualifications * 8+ ...

Elasticsearch Experience Required: * Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience * 5+ years of experience in AEM development, including ...

Cloud Software Engineer

Auburn Hills, MI · On-site

$56.75 - $73.75/hr

Elasticsearch / OpenSearch * Kafka / SNS / SQS * Data pipelines (Airflow or equivalent) AI/ML (Nice ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related ...

Elasticsearch Experience Required * 5+ years of experience in AEM development, including components ... Experience with DevOps tools and processes, such as Git, Jenkins, or GitHub Actions. * Experience ...

Elasticsearch Experience Required * 5+ years of experience in AEM development, including components ... Experience with DevOps tools and processes, such as Git, Jenkins, or GitHub Actions. * Experience ...

AEM Developer

Dearborn, MI · On-site

$61 - $66/hr

Elasticsearch Experience Required * 5+ years of experience in AEM development, including components ... Experience with DevOps tools and processes, such as Git, Jenkins, or GitHub Actions. * Experience ...

Stefanini is looking for AEM Developer, Dearborn, MI For quick apply, please reach out to Parul ... Experience with Elasticsearch and Retrieval-Augmented Generation (RAG)-based search models.

Elasticsearch Experience Required * 5+ years of experience in AEM development, including components ... Experience with DevOps tools and processes, such as Git, Jenkins, or GitHub Actions. * Experience ...

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Monitor application logs and system health using Kibana, Elasticsearch, and Logstash. * Implement ... Mentor junior engineers and contribute to technical best practices. Required Qualifications * 8+ ...

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Monitor application logs and system health using Kibana, Elasticsearch, and Logstash. * Implement ... Mentor junior engineers and contribute to technical best practices. Required Qualifications * 8+ ...

Cloud Software Engineer

Auburn Hills, MI

$56.75 - $73.75/hr

Elasticsearch / OpenSearch * Kafka / SNS / SQS * Data pipelines (Airflow or equivalent) AI/ML (Nice ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related ...

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Elasticsearch Engineer information

See Michigan salary details

$39

$58

$79

How much do elasticsearch engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for elasticsearch engineer in Michigan is $58.69, according to ZipRecruiter salary data. Most workers in this role earn between $48.34 and $69.45 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 Michigan?

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

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

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

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

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

Infographic showing various Elasticsearch Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $122,066 per year, or $58.7 per hour.

DevSecOps/OpenShift (Kubernetes) Engineer

PROLIM Global Corporation

Lansing, MI • On-site

$53.50 - $73.25/hr

Full-time

Re-posted 8 days ago


Job description

DevSecOps/OpenShift (Kubernetes) Engineer
Location: Lansing, MI (Hybrid - 2 days onsite per week)
Duration: 1 Year (possible extension)
Role Overview
We are seeking an experienced DevSecOps / Azure DevOps / OpenShift (Kubernetes) Engineer to join a large-scale IT program. This role functions as a lead engineer, responsible for providing technical leadership, consulting, and mentoring team members to drive DevSecOps maturity across the organization. The ideal candidate will have extensive hands-on experience with Kubernetes, OpenShift, Azure DevOps, and related DevSecOps toolchains.
Qualifications
  • Proven experience with Azure DevOps (ADO) - designing and implementing ADO Wiki, Work Item structures, Pipelines, Git repos/branches/Pull Requests, and establishing related standards and processes.
  • Hands-on expertise in CI/CD automation across environments including RedHat OpenShift (OCP), Linux, Windows, SQL Server, and Oracle.
  • Skilled in creating ADO Build and Deploy Pipelines for modern and legacy Java and .Net applications, integrating with Apache Tomcat, JBoss, SQL Server, Windows, Linux, and Oracle.
  • Strong documentation skills for process and automation workflows.
  • Deep knowledge of Red Hat OpenShift v4 with proven ability to troubleshoot applications in OCP environments.
  • Experience creating Build, Deployment, and CRD config files for applications on OpenShift.
  • Hands-on experience with Docker and S2I images, StatefulSets, and converting Docker images to S2I and vice versa.
  • Proficiency in Kubernetes/OpenShift orchestration, including Custom Helm charts and maintaining Docker image repositories such as Quay.
  • Solid expertise in Elastic Stack (Elasticsearch, Logstash, Kibana) v8.x and above, including administration, performance tuning, and capacity management.
  • Strong knowledge of Logstash pipeline configuration, grok patterns, and Elastic Beats (Filebeat, Heartbeat).
  • Experience with SonarQube, Coverity, and Black Duck - integrating into ADO Pipelines and Pull Request flows.
  • Scripting expertise in Linux shell (.ksh, bash) and Python.
  • Skilled in debugging Java errors and working with SSL, TCP/IP networking, LDAP.
  • Collaborative team player with excellent communication skills - effective in both diverse teams and independent environments.
  • Highly organized self-starter with strong planning, documentation, and time-management abilities.
Required Experience and Skills
  • 8+ years of experience with Kubernetes/OpenShift.
  • 8+ years of expertise in Linux shell scripting.
  • 5+ years as an expert in application containerization management.
  • Strong background in DevSecOps practices, infrastructure automation, and scripting/programming.
  • 5+ years of hands-on experience with:
    • OpenShift
    • Azure DevOps
    • ELK Stack (Elasticsearch, Logstash, Kibana)
    • Docker
    • SonarQube
    • Black Duck
    • Linux (bash, shell)
    • S2I (Source-to-Image)
    • Python
    • NGINX
    • WebSphere
    • LDAP

Interview Process
  • Virtual interview via MS Teams.
  • Candidate photo verification and vendor presence required at interview start.
Work Arrangement
  • Hybrid role - local candidates within 2 hours of Lansing, MI only.
  • Onsite requirement: 2 days per week.
  • No remote-only option.