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Elk Stack Jobs in Texas (NOW HIRING)

.NET with ELK

Austin, TX · On-site

$52.25 - $71.50/hr

We are looking for strong Software Engineers with hands-on experience in ELK Stack, enterprise logging frameworks, .NET application ecosystems, and AI-assisted development practices to support a ...

Sr. Full Stack Java Developer Backend 70%

Irving, TX · On-site

$50.50 - $65/hr

... using the ELK stack and other observability tools Review code quality, mentor junior developers, and enforce best practices across the team Collaborate with cross-functional teams including ...

Java Full Stack Lead

Austin, TX · On-site

$52 - $67.25/hr

... ELK Stack for logging, debugging, and error tracing . • Conduct testing with JUnit5, Mockito, Apache JMeter, and Postman . Additional Responsibilities: * Lead the strategy, design, and delivery of ...

... ELK stack • Experience supporting enterprise IAM solution delivery projects • Knowledge of troubleshooting processes and standards for IGA or PAM Qualifications : Required : • Experience ...

Devops Engineer - Only W2(Local)

Plano, TX · On-site

$50.50 - $69.25/hr

Experience with monitoring and logging tools (e.g., AWS CloudWatch, ELK Stack). * Excellent communication and collaboration skills to work effectively with cross-functional teams. * Understanding of ...

Data Analysis, including applying statistical/mathematical models Usage of ELK stack (Elastic Search, Logstash, Kibana) Usage of JSON and understanding of underlying JAVA code Understanding of Big ...

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Elk Stack information

What is the ELK Stack?

The ELK Stack is a collection of three open-source tools—Elasticsearch, Logstash, and Kibana—commonly used for searching, analyzing, and visualizing large volumes of log data in real time. Elasticsearch is a powerful search and analytics engine, Logstash is a data processing pipeline that ingests and transforms data, and Kibana provides visualization capabilities on top of the data stored in Elasticsearch. Together, they help organizations monitor applications, troubleshoot issues, and gain insights from their data.

What are some typical challenges faced when managing and scaling an ELK Stack deployment in a production environment?

One common challenge is ensuring the ELK Stack remains performant as log volume and query complexity increase, which often requires careful resource planning and tuning of Elasticsearch indices. Another challenge is maintaining data security and compliance, as logs can contain sensitive information that must be protected. Additionally, team members often need to collaborate closely with DevOps, security, and development teams to tailor dashboards and alerts to business needs, which can demand strong communication and coordination skills. Proactive monitoring, regular updates, and automation can help address these challenges and ensure reliable log management.

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

To thrive as an ELK Stack Engineer, you need a solid understanding of Elasticsearch, Logstash, and Kibana, as well as experience with data indexing, search, and visualization, typically supported by a degree in computer science or related field. Familiarity with tools like Beats, scripting languages (such as Python or Bash), and certifications like Elastic Certified Engineer are commonly valuable. Strong problem-solving, analytical thinking, and effective communication skills help you interpret data requirements and collaborate with teams. These competencies are crucial to designing, implementing, and maintaining scalable log management and analytics solutions that support business operations.
What job categories do people searching Elk Stack jobs in Texas look for? The top searched job categories for Elk Stack jobs in Texas are:
What cities in Texas are hiring for Elk Stack jobs? Cities in Texas with the most Elk Stack job openings:
Infographic showing various Elk Stack job openings in Texas as of June 2026, with employment types broken down into 36% Full Time, 23% Part Time, and 41% Contract. Highlights an 100% In-person job distribution.
.NET with ELK

$52.25 - $71.50/hr

Other

Posted 28 days ago


Job description

Role: .NET with ELK
Location: Austin, TX
Role Overview:
We are looking for strong Software Engineers with hands-on experience in ELK Stack, enterprise logging frameworks, .NET application ecosystems, and AI-assisted development practices to support a strategic logging modernization initiative. The team will work on consolidating and migrating multiple application logging frameworks into a unified ELK-based observability platform. Most applications are built on .NET, Angular, and AWS-based architectures. The role requires expertise in scalable logging architectures, Kibana dashboards, log ingestion pipelines, and modern Agentic AI-driven development practices.
Key Responsibilities:
· Design, develop, and migrate enterprise logging frameworks into a centralized ELK (Elasticsearch, Logstash, Kibana) platform
· Implement observability and logging standards across .NET, Angular, and AWS-based applications
· Build scalable log ingestion, parsing, indexing, and visualization pipelines
· Standardize structured logging patterns across distributed systems and microservices
· Integrate application logs, infrastructure logs, and cloud-native monitoring into a unified platform
· Develop dashboards, alerts, and monitoring capabilities using Kibana
· Optimize Elasticsearch clusters for performance, scalability, and reliability
· Enable operational intelligence through centralized logging, analytics, and observability
· Collaborate with platform engineering, DevOps, SRE, and cloud teams for rollout and adoption
· Leverage AI-assisted / Agentic development approaches for automation, code generation, debugging, and operational productivity
· Support CI/CD integration and automation for observability deployment workflows
Required Skills:
· Strong hands-on experience with Elasticsearch, Logstash, Kibana, Beats / Fluentd / Fluent Bit
· Experience implementing logging solutions for .NET / .NET Core and Angular applications
· Strong understanding of distributed systems and microservices architectures
· Experience with structured logging frameworks such as Serilog, NLog, Log4Net
· Strong understanding of .NET application architecture and troubleshooting
· Experience with REST APIs and log ingestion pipelines
· Hands-on AWS experience including CloudWatch, ECS/EKS, Lambda, API Gateway, and S3
· Kubernetes and containerized platform experience
· Experience using AI-assisted engineering tools (OpenAI/Copilot/GenAI-based developer tools)
· Ability to leverage Agentic development approaches for automation and operational productivity
Preferred Qualifications:
· Experience in enterprise observability or logging modernization programs
· Experience migrating legacy/on-prem logging systems to cloud-native ELK platforms
· Exposure to OpenTelemetry and distributed tracing
· Experience in platform engineering or SRE environments preferred
· Knowledge of AIOps and observability analytics is a plus
Soft Skills:
· Strong analytical and troubleshooting abilities
· Excellent collaboration and communication skills
· Ability to work in fast-paced engineering transformation programs
· Proactive mindset focused on automation and continuous improvement