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Splunk Developer Jobs in Austin, TX (NOW HIRING)

cyberThink, Inc.

Java Gen AI Developer

Austin, TX · On-site

$50.50 - $65.50/hr

Working experience with Kafka, IBM MQ or equivalent messaging platforms, Splunk or equivalent ... AI-Enabled Engineering Qualifications: * Demonstrated hands-on experience using GenAI coding ...

Hirekeyz Inc

Site Reliability Engineer (SRE)

Austin, TX · On-site

$56.50 - $75/hr

Site Reliability Engineer (SRE) Location: Austin, TX Job Type: Full Time Technical Skills: * 6+ ... Strong experience in using industry standard monitoring tools e.g., AppDynamics, Dynatrace, Splunk ...

Esolvit Inc

Developer Analyst

Austin, TX

... Splunk, vROPS, Datadog, etc.) Familiarity with Continuous Integration/Deployment tools A software development or DevOps automation background is a big plus Experience working on a team delivering a ...

Career Opportunities

DevOps Lead

Austin, TX · On-site

$52.25 - $71.50/hr

Essential Functions * DevOps Leadership: Own and evolve the DevOps function, including CI/CD ... Splunk) * Experience owning cloud infrastructure budgets and driving cost optimization * Proven ...

Judge Group, Inc.

Senior .NET AI Developer

Austin, TX · On-site

$63 - $68/hr

Strong background in performance engineering, reliability testing, observability patterns (e.g., Splunk), and the Twelve-Factor App methodology. Proficiency in generating comprehensive architecture ...

Apex Systems

Senior .NET AI Developer

Austin, TX · On-site

$54 - $71.25/hr

NET AI Developer || Onsite work schedule in Austin or Southlake, TX Opportunity We are seeking a ... Experience with Kafka, IBM MQ, Splunk, JSON/XML, caching, performance tuning, observability, and ...

Judge Group, Inc.

Senior Java AI Developer

Austin, TX · On-site

$70 - $75/hr

Bachelor's degree in Computer Science, Software Engineering, a related technical field, or ... Splunk). Experience in an Agile working environment utilizing the Atlassian tool stack (Jira ...

Scigon Solutions

SIEM Engineer II

Austin, TX · On-site

$149K - $166K/yr

SIEM Engineer II Salary: $149,000-$166,000 What You ll Do Are you a hands-on security engineer ... SecOps), Splunk, Exabeam, Microsoft Sentinel). * Cribl Development - Support the design and ...

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All JobsSplunk Developer JobsSplunk Developer Jobs in Austin, TX

Splunk Developer information

See Austin, TX salary details

$40

$59

$75

How much do splunk developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for splunk developer in Austin, TX is $59.63, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $65.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Splunk developer?

To thrive as a Splunk Developer, you need expertise in data analysis, scripting (such as Python or Shell), and a solid understanding of Splunk's architecture, often supported by a degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Search Processing Language (SPL), and certifications like Splunk Core Certified Power User or Splunk Certified Developer are commonly required. Strong problem-solving skills, attention to detail, and effective communication set outstanding Splunk Developers apart. These competencies are crucial for designing efficient data solutions, troubleshooting issues, and ensuring valuable insights are delivered to the organization.

What is the difference between Splunk Developer vs Splunk Administrator?

AspectSplunk DeveloperSplunk Administrator
Primary FocusDevelops and customizes Splunk apps, dashboards, and data visualizationsMaintains, configures, and manages Splunk infrastructure and data ingestion
Required SkillsSplunk SPL, scripting, data analysis, app developmentSplunk configuration, system management, troubleshooting
CertificationsSplunk Core Certified Power User, Certified DeveloperSplunk Core Certified Power User, Certified Admin
Work EnvironmentDevelopment teams, data analysis projectsIT operations, system administration

While both roles work with Splunk, developers focus on creating custom apps and dashboards, whereas administrators handle system setup, maintenance, and data management. Understanding these differences helps organizations assign the right skills to each role for effective Splunk deployment.

What are some common challenges Splunk developers face when integrating data from diverse sources?

Splunk Developers often encounter challenges when integrating data from various sources, such as inconsistent data formats, incomplete logging, and differing time zones or encoding standards. Addressing these issues requires careful data normalization, crafting custom parsers, and collaborating closely with system administrators and application owners. Proactive communication and thorough documentation can help minimize integration hurdles and ensure accurate, actionable insights from the aggregated data.

What is a Splunk developer?

A Splunk developer uses the Splunk developer tools to design new software or business solutions. To fulfill their job duties, they must be familiar with all aspects of the Splunk tools, such as the extension for Visual Studio, Splunk data libraries, or plug-ins to code an application with Java or other programming languages easily. Qualifications for this career include a bachelor’s degree in computer science, work experience, and programming skills in languages supported by Splunk developer tools.

More about Splunk Developer jobs

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For Splunk Developer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Splunk Developer jobs in Austin, TX look for?

The top searched job categories for Splunk Developer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Splunk Developer jobs?

Cities near Austin, TX with the most Splunk Developer job openings:

Splunk Developer jobs near you
Infographic showing various Splunk Developer job openings in Austin, TX as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,030 per year, or $59.6 per hour.

Java Gen AI Developer

cyberThink, Inc.

Austin, TX • On-site

$50.50 - $65.50/hr

Other

Posted 11 days ago

Job description

**Onsite schedule in Austin or Southlake. TX**

Job Description:

As a Senior Java AI Developer, this role will lead AI-focused workflows across the System Development Life Cycle. You will work at the intersection of Java engineering, event-driven architectures, cloud-native platforms, and Generative AI-assisted delivery to build intelligent, reliable systems that support Client clients and business capabilities.

Required Qualifications:

Core Technical Qualifications:

  • Demonstrated experience leading the design and implementation of highly scalable, resilient, and event-driven applications using Java, Spring Boot, Kafka, and cloud-native architectures.
  • Strong knowledge of distributed systems, stream processing, performance optimization, resiliency patterns, observability patterns, and high-availability application design.
  • Experience designing and implementing RESTful services, microservices, asynchronous message flows, and integration patterns for high-volume enterprise platforms.
  • Working experience with Kafka, IBM MQ or equivalent messaging platforms, Splunk or equivalent observability tools, JSON/XML, caching, performance analysis, profiling, and production troubleshooting.
  • Experience being a technical lead for a team and/or project, including solution design, engineering standards, code review practices, and technical delivery ownership.

AI-Enabled Engineering Qualifications:

  • Demonstrated hands-on experience using GenAI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while maintaining ownership for correctness, quality, and engineering validation.
  • Practical familiarity with tools such as GitHub Copilot and/or Claude Code in IDE or CLI-based workflows, with the ability to apply AI assistance to reduce context switching and accelerate delivery beyond code generation.
  • Working knowledge of agentic workflows, spec-driven development, custom instructions, and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.
  • Ability to apply AI-assisted approaches responsibly for code generation, test generation, technical documentation, root cause analysis support, modernization analysis, and development workflow optimization.

Education and Experience:

  • Bachelor s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
  • 7+ years of professional software engineering experience developing scalable, high-performance Java, cloud-based, and web services applications that support high-volume transactions in highly available environments.
  • 6+ years of experience building and deploying cloud-native applications using Google Cloud Platform, Docker, Kubernetes, microservices, and CI/CD practices.
  • Experience with cloud platforms and deployment environments such as PCF, AWS, or Google Cloud Platform.
  • 2+ years of experience working with databases such as MongoDB, Aerospike, PostgreSQL, Oracle, or comparable relational and NoSQL platforms.
  • 2+ years prior experience in IT transformation and system modernization initiatives from legacy platforms to distributed Java, cloud-native, and event-driven architectures.
  • 2+ years of hands-on experience with AI/ML implementation, AI-assisted engineering practices, or production deployment of AI-enabled solutions.
  • Hands-on experience or practical exposure to Large Language Models such as GPT, Claude, Gemini, or comparable enterprise AI platforms.
  • Knowledge of Agile methodology and experience in an Agile working environment.
  • Experience with Atlassian tool stack such as Jira and Confluence.
  • Domain / Industry: Understands broker-dealer domain capabilities and operations, with preferred experience in the financial services industry.
  • Communication: Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment.
  • Execution Focus: Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, product owners, and adjacent teams to drive outcomes.

Preferred Qualifications:

  • Master s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or related degree, or equivalent practical experience.
  • Experience in Test Driven Development, Behavior Driven Development, QA automation, and quality engineering mindset and behaviors.
  • Experience with Spring Cloud, Spring Security, reactive programming, API gateways, service mesh, or comparable Java ecosystem capabilities.
  • Experience with performance engineering, reliability testing, resiliency testing, and operational readiness practices for high-volume distributed platforms.
  • Proficient in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and production/test environment documentation.
  • Familiarity with Retrieval-Augmented Generation, vector databases, AI orchestration patterns, agent-based workflows, or enterprise AI platform integration is a plus.

Key Responsibilities:

  • Lead design and development of Java-based, cloud-native, event-driven applications that are scalable, resilient, observable, and performant.
  • Build and modernize services using Java, Spring Boot, Kafka, REST APIs, CI/CD pipelines, container platforms, and distributed system patterns.
  • Partner with architects, developers, product owners, and cross-functional teams to translate business capabilities into high-quality technical solutions.
  • Use GenAI-assisted development tools to accelerate implementation, refactoring, unit testing, documentation, troubleshooting, modernization analysis, and engineering workflow improvements.
  • Establish responsible AI-assisted development practices, including reusable prompts, custom instructions, review expectations, validation standards, and team-level adoption patterns.
  • Drive engineering quality through code reviews, automated testing, observability, resiliency validation, performance tuning, and production readiness practices.
  • Mentor engineers on Java engineering standards, distributed architecture, cloud-native design, event streaming, and AI-augmented SDLC practices.
  • Contribute to modernization initiatives by moving legacy capabilities toward distributed Java services, event-driven platforms, and cloud-native operating models.

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