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Elasticsearch Observability Engineer Jobs in Spring, TX

Request Technology, LLC

Senior DevSecOps Engineer

Houston, TX · On-site

$109K - $149K/yr

... Observability: Track system health and performance using monitoring and alerting platforms to ... Experience with platforms such as Dynatrace, Prometheus, Grafana, ELK Stack (Elasticsearch ...

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Elasticsearch Observability Engineer information

How does an Elasticsearch Observability Engineer typically collaborate with development and operations teams?

As an Elasticsearch Observability Engineer, you frequently partner with both development and operations teams to design and implement monitoring solutions using the Elastic Stack. You'll help developers instrument applications for better traceability and support operations in troubleshooting and optimizing system performance. Regular communication is key, as you'll often lead workshops, create dashboards, and respond to incidents collaboratively. This cross-functional teamwork ensures observability solutions align with organizational goals and provide actionable insights.

What does an Elasticsearch Observability Engineer do?

An Elasticsearch Observability Engineer is responsible for designing, implementing, and maintaining observability solutions using the Elasticsearch stack (Elasticsearch, Logstash, Kibana, and Beats). Their primary role is to ensure that systems are monitored effectively, logs and metrics are collected and analyzed, and issues are detected and diagnosed quickly. They collaborate with development and operations teams to build dashboards, set up alerts, and optimize performance for monitoring infrastructure and applications. These engineers play a key role in improving system reliability and supporting incident response.

What are the key skills and qualifications needed to thrive as an Elasticsearch Observability Engineer, and why are they important?

To thrive as an Elasticsearch Observability Engineer, you need expertise in Elasticsearch, log management, and data analysis, often supported by a degree in computer science or a related field. Familiarity with observability tools such as Kibana, Logstash, Beats, and experience with cloud platforms and scripting languages like Python or Bash are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in this role. These competencies are vital for ensuring system reliability, quickly detecting issues, and delivering actionable insights for continuous improvement.

What is the difference between Elasticsearch Observability Engineer vs Elasticsearch Developer?

AspectElasticsearch Observability EngineerElasticsearch Developer
Primary FocusMonitoring, logging, and observability of Elasticsearch clusters and related systemsDeveloping, customizing, and optimizing Elasticsearch applications and integrations
Skills & CertificationsKnowledge of Elasticsearch, Prometheus, Grafana, scripting, and monitoring toolsProficiency in Elasticsearch APIs, Java, REST, and development frameworks
Work EnvironmentOperations teams, DevOps, SREs, cloud environmentsDevelopment teams, software engineers, backend developers

While both roles require expertise in Elasticsearch, the Elasticsearch Observability Engineer focuses on system monitoring and ensuring Elasticsearch health, whereas the Elasticsearch Developer concentrates on building and customizing Elasticsearch-based applications. Their skills and daily tasks differ, but both are essential in Elasticsearch-centric environments.

What are popular job titles related to Elasticsearch Observability Engineer jobs in Spring, TX? For Elasticsearch Observability Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Elasticsearch Observability Engineer jobs in Spring, TX look for? The top searched job categories for Elasticsearch Observability Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Elasticsearch Observability Engineer jobs? Cities near Spring, TX with the most Elasticsearch Observability Engineer job openings:
Elasticsearch Observability Engineer jobs near you
Senior DevOps Engineer

Senior DevOps Engineer

Request Technology, LLC

Houston, TX • On-site

$150K - $180K/yr

Other

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Job description

Senior DevOps Engineer

Salary: $150k-$180k

Location: Chicago, IL or Houston, TX

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

  • Bachelor s degree
    8+ years in DevOps, Cloud Engineering, Systems Engineering, or DevSecOps, including 5+ years integrating security into CI/CD pipelines.
    Deep experience with CI/CD platforms (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab) and embedding security controls throughout development workflows.
    Strong experience with cloud platforms (especially Microsoft Azure and/or AWS) and Infrastructure as Code practices.
    Hands-on experience with Docker and Kubernetes, including security best practices.
    Solid understanding of application security concepts, secrets management, authentication protocols, and policy enforcement tools (e.g., Azure Policy, Open Policy Agent (OPA), Sentinel).
    Proficiency in scripting languages such as PowerShell, Python, or Bash to drive automation and efficiency.
    Strong foundation in operating systems, networking, APIs, and distributed systems.
    Experience with platforms such as Dynatrace, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, or Azure Monitor.

Responsibilities

  • Secure CI/CD Enablement: Design, build, and maintain secure continuous integration/continuous delivery (CI/CD) pipelines that streamline application build, testing, and deployment.
    Security Integration: Embed security tooling into the software development lifecycle, including Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Software Composition Analysis (SCA), secrets scanning, and infrastructure security scanning.
    Infrastructure as Code (IaC): Develop and manage infrastructure using code with tools such as Terraform, Bicep, Azure Resource Manager (ARM), or CloudFormation.
    Cloud Security Management: Administer and secure cloud environments, primarily within Microsoft Azure, ensuring compliance and operational integrity.
    Container & Kubernetes Security: Implement and manage container and orchestration security, including image scanning, role-based access control (RBAC), and runtime protections.
    Standards & Governance: Establish and enforce secure coding, deployment, and access management standards across teams.
    Identity & Secrets Management: Secure and manage certificates, secrets, and identity/access controls using enterprise tools and best practices.
    Monitoring & Observability: Track system health and performance using monitoring and alerting platforms to proactively identify and resolve issues.
    Vulnerability Management: Coordinate remediation efforts and support compliance and regulatory initiatives.

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