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Splunk Jobs in Remote, OR (NOW HIRING)

Atos

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

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 ...

Atos

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

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 ...

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How much do splunk jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for splunk in Remote, OR is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $66.30 per hour, depending on experience, location, and employer.

Is Splunk in high demand?

Splunk professionals are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Skills in data visualization, scripting, and certifications like Splunk Certified User can enhance job prospects in this field.

What are the key skills and qualifications needed to thrive in the Splunk position, and why are they important?

To thrive in a Splunk role, you should possess strong analytical skills, experience with data analysis and security monitoring, and a solid understanding of IT infrastructures. Familiarity with the Splunk platform, related modules (such as Enterprise Security or IT Service Intelligence), and certifications like Splunk Core Certified User are highly valued. Problem-solving, attention to detail, and effective communication are key soft skills, especially when collaborating across technical and business teams. These skills are vital for efficiently transforming raw data into actionable insights and supporting organizational security and operational goals.

Is it hard to get hired at Splunk?

Getting hired for a Splunk-related role can be competitive, as the company seeks candidates with strong technical skills in data analysis, cybersecurity, or software development. Relevant certifications, such as Splunk Certified User or Power User, and experience with data tools can improve chances, but the hiring process typically involves technical interviews and assessments. Overall, preparation and relevant skills are key factors in securing a position.

What is a Splunk job?

A Splunk job typically involves managing and analyzing machine-generated data using the Splunk platform. Roles may include data analysis, system monitoring, and security investigation, often requiring knowledge of scripting, data visualization, and certifications like Splunk Certified User or Power User.

What are the main day-to-day responsibilities of someone working in a Splunk role?

In a Splunk position, your primary responsibilities typically include designing and maintaining Splunk dashboards, creating and optimizing searches, and setting up alerts for various IT operations and security events. You'll often collaborate with network, security, and operations teams to analyze system logs and investigate incidents or anomalies. Regular tasks may also involve onboarding data sources, fine-tuning system performance, and documenting configurations and processes. This role offers the opportunity to develop your technical skills while playing a key part in your organization's cybersecurity and data-driven decision-making.

Is Splunk a good career?

A career involving Splunk typically involves roles such as Splunk administrator, engineer, or analyst, focusing on data analysis, security, and IT operations. These roles often require knowledge of data indexing, scripting, and certifications like Splunk Certified User or Power User. The field offers growth opportunities in cybersecurity, data analytics, and IT management, with demand for skilled professionals increasing across various industries.

What is a Splunk job?

A Splunk job typically involves monitoring, analyzing, and visualizing machine-generated data using Splunk software. Professionals in this role manage data ingestion, create dashboards, write queries using SPL (Search Processing Language), and optimize system performance. They may also troubleshoot issues, set up alerts, and ensure security compliance. Splunk jobs are common in IT operations, cybersecurity, and data analytics across various industries.

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Apps AI Solution Architect AMS

Atos

OR • On-site, Remote

$59 - $77.75/hr

Full-time

Posted 8 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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