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Splunk Power User Jobs in Oregon (NOW HIRING)

Atos

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

... powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE ... Lead the design of UI/UX flows, user-facing AI interactions, conversational interfaces, and AI ...

Atos

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

... powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE ... Lead the design of UI/UX flows, user-facing AI interactions, conversational interfaces, and AI ...

Clari + Salesloft

OR · On-site

... confident decisions powered by AI and real signals. By combining our scale, insights, and AI ... user base * Produce high-quality results by leading large cross-functional projects that have a ...

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Splunk Power User information

See Oregon salary details

$30.7K

$123.7K

$167.6K

How much do splunk power user jobs pay per year?

As of May 30, 2026, the average yearly pay for splunk power user in Oregon is $123,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $141,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Splunk Power User, and why are they important?

To thrive as a Splunk Power User, you need a solid understanding of data analysis, search processing language (SPL), and system monitoring, typically supported by experience with IT operations or cybersecurity. Familiarity with the Splunk platform, dashboards, reports, and ideally a Splunk Power User certification are important technical assets. Strong problem-solving, attention to detail, and effective communication skills help users interpret data insights and collaborate with technical teams. These skills and qualities enable efficient use of Splunk for identifying issues, optimizing performance, and supporting organizational security and compliance.

How does a Splunk Power User typically collaborate with IT and security teams within an organization?

A Splunk Power User frequently acts as a bridge between raw data and actionable insights for both IT and security teams. They work closely with team members to create meaningful dashboards, alerts, and reports tailored to each department's needs. This role often involves translating technical requirements into Splunk searches and visualizations, facilitating faster troubleshooting and incident response. Regular collaboration ensures that data sources are properly onboarded and that the organization leverages Splunk's full potential for monitoring, compliance, and security.

What are Splunk Power Users?

Splunk Power Users are individuals who have advanced knowledge and skills in using Splunk for searching, analyzing, and visualizing machine data. They are proficient in creating complex searches, dashboards, alerts, and reports, and often help organizations derive insights from large volumes of data. Power Users typically have access to more features than standard users, such as creating knowledge objects and managing data models, but less access than Splunk administrators. They play a crucial role in maximizing the value of Splunk within an organization by building efficient queries and sharing actionable insights with teams.

What is the difference between Splunk Power User vs Splunk Administrator?

AspectSplunk Power UserSplunk Administrator
CredentialsBasic Splunk certifications, familiarity with Splunk queriesAdvanced certifications, deeper knowledge of Splunk architecture
Work EnvironmentEnd-users, analysts, and reporting rolesSystem management, deployment, and maintenance
Industry UsageData analysis, troubleshooting, and reportingSystem setup, configuration, and health monitoring

Splunk Power Users focus on analyzing data and creating reports using Splunk, while Splunk Administrators handle system setup, configuration, and maintenance. Both roles require familiarity with Splunk but differ in technical depth and responsibilities.

What are popular job titles related to Splunk Power User jobs in Oregon? For Splunk Power User jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Splunk Power User jobs in Oregon look for? The top searched job categories for Splunk Power User jobs in Oregon are:
Splunk Power User jobs near you

Apps AI Solution Architect AMS

Atos

Remote

$59 - $77.75/hr

Other

Posted 5 days ago

Job description

About Atos Group

Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. 8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.

The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

Apps AI Architect 539988

Location: North America (Remote)

Role Summary

The Apps AI Architect will play a pivotal role in transforming how we design, build, and manage enterprise applications in the GenAI era. This role blends deep application architecture expertise - spanning UI/UX, front-end, back-end, integration, data, and cloud - with hands-on AI engineering skills to infuse Artificial Intelligence (including Generative and Agentic AI) across the full application lifecycle - from design and development to modernization and ongoing operations. The Architect will drive innovation, develop reusable AI patterns, and deliver proof-of-value (PoV) initiatives that convert emerging technology possibilities into tangible business impact.

Key Responsibilities

  • Architect AI-Native Applications: Design and implement architectures that integrate AI models (LLMs, predictive, and agentic systems) into application workflows to enable reasoning, automation, and contextual decision-making.
  • End-to-End Application Design: Lead the design of UI/UX flows, user-facing AI interactions, conversational interfaces, and AI-augmented user journeys across web and mobile applications.
  • Drive Modernization Through AI: Reimagine legacy and digital applications by embedding AI capabilities that enable modernization, optimization, and transformation across app portfolios. Design modernization frameworks leveraging AI for architecture discovery, business-rules extraction, and application rationalization. Embed intelligence in re-platformed or refactored applications to create truly AI-native modernization.
  • Legacy-to-Modern Mapping: Architect solutions that transform legacy applications into modern Java, .NET, microservices, or cloud-native platforms while preserving core business rules and logic.
  • Infuse AI Across Dev & Ops: Partner with delivery and support teams to embed AI in software engineering, testing, incident management, and observability - driving efficiency, resilience, and proactive operations.
  • Tooling & Frameworks: Evaluate, integrate, and optimize AI-assisted tools (e.g., code translators, test generators, documentation bots) within modernization pipelines to accelerate delivery.
  • Integration & Ecosystem: Define strategies to integrate modernized applications into enterprise ecosystems, including APIs, event-driven architectures, and cloud environments.
  • Lead Proofs of Value (PoVs): Design and execute AI-centric PoVs to validate new technologies, tools, and architectures for clients.
  • Collaborate & Evangelize: Partner with pre-sales, delivery, and client stakeholders to identify AI opportunities, shape proposals, and articulate the business value of AI-native transformation.
  • Develop Reusable Assets: Create frameworks, accelerators, and reference architectures to scale adoption of GenAI and LLM-enabled solutions across multiple accounts.

Required Skills & Experience

  • 10-15 years of experience in Application Architecture, Engineering, or Digital Transformation, with at least 2-3 years in AI/ML or GenAI implementation.
  • Strong experience with Azure OpenAI, OpenAI APIs, Vertex AI, AWS Bedrock, LangChain, LlamaIndex, or similar LLM platforms.
  • Deep understanding of modern UI/UX architecture, responsive front-end design, and frameworks such as React, Angular, Vue, or equivalent.
  • Proficiency in Python, Node.js, or Java, with exposure to LLM integration, prompt engineering, and API orchestration.
  • Experience with leading AI-assisted productivity tools such as Claude, Gemini Code Assist, and GitHub Copilot.
  • Familiarity with observability and AIOps platforms including DataDog, Dynatrace, Moogsoft, Splunk AIOps, and ServiceNow AIOps.
  • Hands-on exposure to LLM-based ITSM agents and RAG (Retrieval-Augmented Generation) frameworks.
  • Experience with MLOps/GenAIOps for continuous model improvement within modernization initiatives.
  • Strong background in application modernization (re-platforming, containerization, microservices, and cloud-native design).
  • Solid understanding of legacy technologies such as Mainframe, Java, and .NET.
  • Knowledge of PromptOps, model observability, AI lifecycle management, and related operational frameworks.
  • Excellent communication, stakeholder management, and customer-facing engagement skills.

Preferred Qualifications

  • Certifications in AI Engineering (Azure, AWS, or Google) or equivalent credentials.
  • Prior experience working in Application Services, AMS, or ADM environments.
  • Exposure to agentic workflows, AI observability, or RAG (retrieval-augmented generation) frameworks.
  • The role requires active engagement across the full lifecycle - from pre-sales solution shaping through design, development, implementation, and ongoing evolution of AI-native applications.
  • Given the evolving nature of AI-native architectures, we welcome candidates who may not meet every requirement but demonstrate strong foundational skills and the ability to grow into the role.

Why This Role Matters

This role is central to our AI-Native Application Services transformation. The Apps AI Architect will directly shape how enterprise applications evolve - blending the power of AI, data, and cloud to create intelligent, adaptive, and self-improving systems that redefine how our clients build, run, and scale their businesses.

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