Engineering Journal Chula Jobs in Grapevine Texas

Job Title : Nuclear Engineer (Naval Reactors Engineer) Category / Component : Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards.

Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation.

What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication.

Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding.

Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields.

Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements.

Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy.

Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter.

Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work.

Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities.

Specific options depend on the Sailor's status, training, and current Navy policy.

Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options.

Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance.

Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed.

Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source.

Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community.

It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes.

Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

Data Engineer (2-3 Years Experience)

Location: North Richland Hills, TX (On-site)

Salary Range: $90,000–$110,000 (based on experience)

Company: Ragle Inc.

Reports to: Data & Analytics Lead

About the Role

Ragle Inc. is expanding its Data & Analytics team and is seeking a hands-on Data Engineer with 2–3 years of industry experience to help centralize and modernize operational, accounting, and project data.

In this role, you will design and operate production-grade data pipelines that connect our in-house platform, accounting systems, telematics, scheduling, estimating tools, Smartsheet, and third-party APIs. These pipelines will power analytics used daily by Operations, Accounting, Estimating, and Executive Leadership.

What You’ll Do

• Design, build, and maintain reliable data pipelines using SQL and Python
• Ingest data from Azure SQL databases, third-party APIs, and structured file sources (CSV/Excel)
• Help establish and maintain a centralized analytics data model (fact and dimension tables)
• Partner with analysts to support Power BI semantic models and improve dataset performance
• Implement data quality checks, logging, monitoring, and alerting
• Collaborate with business stakeholders to translate workflows into robust data products
• Contribute to version control, deployment, and data engineering standards (Git, environments)
• Support migrations away from manual Excel workflows toward automated, governed datasets

Key Responsibilities

• Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data
• Optimize SQL queries, views, and table structures for analytics performance and incremental loads
• Maintain documentation for pipelines, datasets, schemas, and data contracts
• Assist with access control, governance, and data security best practices
• Troubleshoot refresh failures and performance bottlenecks across the data stack

Required Qualifications

• 2–3 years of professional experience as a Data Engineer or Analytics Engineer
• Strong SQL skills (complex joins, CTEs, window functions, performance tuning)
• Hands-on Python experience for data processing (pandas, standard libraries)
• Experience with relational databases (SQL Server / Azure SQL, Postgres, or similar)
• Experience building and maintaining production data pipelines
• Understanding of data modeling concepts (star schema, keys, SCD basics)
• Familiarity with Power BI or similar BI tools
• Comfortable working directly with business stakeholders

Preferred Qualifications

• Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines)
• REST API ingestion experience
• ERP or operational systems integration exposure
• Git-based workflows and basic CI/CD
• Construction or asset-heavy industry experience
• Desire to grow into Senior Data Engineer or Analytics Lead roles

What Success Looks Like

• Stable, documented, and trusted data pipelines
• Reusable datasets replacing manual Excel workflows
• Analytics relied upon for daily decision-making
• Smooth onboarding of new systems and data sources
• A scalable data platform supporting company growth

Why Join Ragle Inc.

• Real operational data with direct business impact
• High ownership and production responsibility
• Small team with leadership visibility
• Professional development and certification support

Compensation & Benefits

Competitive salary ($90,000–$110,000 based on experience), plus health, dental, and vision insurance, paid time off and holidays, and professional development support.

Additional Information

Ragle Inc. conducts professional reference checks as part of our standard hiring process.

Ragle Inc. is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status in accordance with applicable laws.

Job Title: Engineer - Product Engineer L2

Employment Type: Permanent Employee

Start: January 2026

Workplace Type: Onsite

Location: Grapevine, TX

** Please note this position requires US Citizenship or GC status. Visa sponsorship is unavailable at this time.

Summary:

The Engineer will provide technical support to production to overcome daily challenges. Engineer will also use procedures and instructions to initiate the analysis process when product failure occurs. Investigations and researched for root causes with analysis documented, recorded, and communicated internally and provide solution. Engineer may contact Client Company for any quality escalations. Responsible for first level failure analysis on Customer Products.

Essential Duties and Responsibilities include the following. Other Duties not listed may be assigned.

Responsibilities Include but not limited:

• Have appropriate knowledge with the various systems including but not limited to Windows, Android, CMD and Linux tools, and procedures used in Production for Repair and failure analysis.
• Help Team to setup repair line including Tools and ESD grounding.
• Skilled in communication, problem solving, and applying experience and expertise.
• Identify optimum analytical approaches critical to problems.
• Requires communication with local and overseas team via emails and conference calls.
• Prepare parts and components for Factory team second level failure analysis.
• Work inside customer lab.
• Other duties as assigned.

Team Leadership 10% of Job

• Responsible for maintaining a positive work environment while supporting the companys culture.
• Responsible for fostering a healthy and safe work environment, focusing on the well-being of all associates.
• Maintains and strengthens internal, external customer, and supplier relationships. Communicates and works well with all business partners.
• Ensures inventory management and merchandise allocation flows product through the warehouse in the most cost efficient and productive manner.

Qualifications:

Education and/or Experience

• Minimum Associate degree in product design, mechanical, electronic or computer engineering or 3+ years of equivalent experience as FA engineer for computing devices.
• Hands on Experience in hardware assembly and disassembly on computing devices

Essential Skills but not Limited:

• Requires excellent written and oral communication skills.
• Must have strong Office suite knowledge (excel, word etc.).
• Requires moderate knowledge of UEFI, WINPE, CMD, Batch files, SDK, ADK, Configuration files such as ini.
• Effectively communicate concepts and solutions with various levels of the organization.
• Effectively liaison between Company and Client.
• Must be able to work cross-functionally with minimal supervision.
• Requires strong analytical and statistical skills.
• Requires flexibility to work overtime for special projects or business supports.

Competencies:

• Shows determination to achieve excellent results
• Finds better ways
• Demands top performance
• Inspires commitment

Working Conditions

Must be able to tolerate moderate to high noise levels in a warehouse environment. Office and outside environmental conditions found in the warehouse, hot in the summer, cold in the winter. Individuals may need to walk for an extensive period of time while working and walking the facilities; to reach over shoulder heights; bend or stoop below the waist; repetitive wrist, hand, or finger movement. Requires the physical ability to lift 25 pounds.

Title: DLP Platform Consultant

Duration: Long term

Location: Irving , TX

(ONLY W2)

Job Description:

This is a high-visibility individual contributor role where you will serve as the organization’s subject matter expert on DLP platform architecture, policy engineering, data classification, and sensitive data discovery.

You’ll be responsible for protecting critical business and customer data at massive scale spanning thousands of endpoints, cloud workloads, and SaaS applications while keeping false positives low and signal quality high. If you’re passionate about data protection, enjoy the challenge of tuning complex policy frameworks, this role was built for you.

Key Responsibilities

DLP Platform Engineering & Administration

• Own the end-to-end engineering, configuration, and operational health of Microsoft Purview DLP and other DLP platforms across endpoint, network, and cloud channels.

• Design, deploy, and maintain DLP policies that protect sensitive data including payment card information, employee PII, financial records, and proprietary business data.

• Continuously monitor, tune, and optimize DLP policies to maximize detection accuracy while aggressively reducing false positives.

• Manage platform upgrades, feature rollouts, and capacity planning to ensure the DLP infrastructure scales with business growth.

• Develop and maintain platform documentation, runbooks, and standard operating procedures.

Data Classification & Sensitive Data Discovery

• Lead sensitive data discovery initiatives using Microsoft Purview’s classification and content inspection capabilities to identify where sensitive data resides across the enterprise.

• Design and refine sensitive information types (SITs), trainable classifiers, and labeling policies tailored to the organization’s data landscape.

• Partner with data governance, privacy, and compliance teams to ensure classification taxonomies align with regulatory requirements and business needs.

• Conduct ongoing data discovery assessments to identify emerging data risk and ensure newly created repositories and workflows are covered by DLP controls.

Integration & Collaboration

• Integrate Microsoft Purview DLP with Microsoft Defender for Endpoint to extend data protection controls to managed devices across the enterprise.

• Ensure DLP alerts and events flow into the organization’s SIEM platform for centralized visibility, correlation, and incident investigation.

• Leverage ServiceNow for incident tracking, workflow automation, and integration with the broader security operations and IT service management ecosystem.

• Collaborate with Security Operations, Incident Response, and Insider Threat teams to investigate and respond to DLP-triggered events.

• Partner with cloud engineering, endpoint management, and application teams to ensure DLP coverage extends to new technologies and business initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, or a related discipline is required; alternatively, four years of cybersecurity experience along with an active CISSP or CISM certification will also be considered.

• 5+ years of progressive experience in data loss prevention, data protection, or a closely related security engineering discipline.

• Hands-on experience engineering and administering Microsoft Purview DLP (or legacy Microsoft 365 DLP / Microsoft Information Protection).

• Strong expertise in DLP policy design, tuning, and false positive reduction across endpoint, network, and cloud DLP channels.

• Practical experience with data classification frameworks, sensitive information types, and automated labeling in a Microsoft 365 environment.

• Experience integrating DLP platforms with SIEM solutions and ITSM tools such as ServiceNow.

• Excellent analytical and troubleshooting skills with the ability to diagnose complex policy behavior and platform issues.

• Strong communication skills with the ability to translate data protection concepts for technical and non-technical stakeholders.

Preferred Qualifications

• CDPSE (Certified Data Privacy Solutions Engineer), Microsoft SC-400 (Information Protection Administrator Associate) certification, AZ-500 (Azure Security Engineer).

• Experience in large-scale retail, convenience store, fuel, or payment processing environments.

• Familiarity with PCI DSS, state privacy regulations, or other data protection compliance frameworks.

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.

This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.

Responsibilities

Data Architecture Leadership

• Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
• Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
• Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
• Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

• RAG pipelines
• Vector search
• Metadata-driven orchestration
• Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

• Finance, Pricing, and Supply Chain Data Products
• FIA
• ContractIQ
• Specialty Leakage Agents
• Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
• Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
• Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
• Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

• Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
• Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

• Data models
• Entity relationship diagrams (ERDs)
• Data flow diagrams
• System interface schemas
• Comprehensive data dictionaries and metadata documentation
• Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
• Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.

Minimum Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Required Skills

• 7+ years designing enterprise data architecture across large, complex organizations.
• Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
• Large-scale integration across heterogeneous systems
• Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
• Designing intuitive architectural patterns to simplify complex data landscapes.
• Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

• Ownership-driven leader with a track record of guiding engineering teams through delivery.
• Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

• Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

• Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.

Principle duties and responsibilities

Provide content strategy to ensure relevant content is delivered contextually

• Collaborate on a content roadmap and conduct content audits
• Establish and maintain operational processes and procedures for managing content requests and delivery
• Lead content governance and implementation of best practices at an enterprise level
• Work with product stakeholders and bring them along as you provide content to ensure messaging is optimized and successful
• Coach and mentor others on content strategy best practices
• Create documentation based on user groups to understand the tone and voice -
• Artifacts you will deliver scripts content strategy knowledge base articles and content embedded within the product All youll need for success

Minimum qualifications -education and prior job experience

• Bachelors degree in English journalism technical writing or equivalent experience / training
• 5 years creating and executing digital content strategy across multiple channels
• Extensive experience planning for and developing useful usable content including instructional text error and confirmation message taxonomy and SEO

Preferred qualifications - education and prior job experience

• Masters degree in English journalism or technical writing
• Experience using a content management or knowledge management system and agent-facing applications
• Experience with technical projects involving AI / machine learning
• Travel industry experience

Skills licenses and certifications

Superior writing editing and proofreading skills:

• You understand the importance of clearly and concisely communicating for digital channels.
• A proven track record of collaboration across product and UX teams:
• You can translate complex concepts into easy-to-understand interactive experiences.
• A passion for creating great digital user experiences with actionable knowledge of the digital landscape:
• Keeping up with industry and user trends emerging technologies and best practices and trends is fun for you.
• You're able to influence decision makers.
• A passionate advocacy for effective user-friendly communication
• You can talk about the importance of consistent messaging across multiple channels and make a case for a strategic approach to content delivery.
• Collaborate with multiple stake holder groups to gain alignment and input related to content needs.

Lead Engineer – POS Foundation

Hybrid role in Irving/TX that requires 3 days in the office

We’re seeking a Lead Engineer with deep technical experience in Oracle Xstore (POS & Back Office) and a passion for creating robust, maintainable, scalable retail store foundations. In this role, you will lead the design and modernization of our POS platform - driving Xstore version upgrades, enhancing configuration frameworks, improving observability and operational excellence, ensuring global compliance, and strengthening system resilience.

You’ll serve as a technical leader, partnering with Architecture, Security, Infrastructure, Operations, Field Support, and Vendor teams to deliver high‑impact foundational improvements that reduce downtime, improve performance, and create a long-term, sustainable POS ecosystem. This position is ideal for engineers who thrive in fast‑paced retail environments, enjoy solving complex technical challenges, and can deliver high‑quality solutions that support thousands of store associates and customers.

Responsibilities

Core Platform Engineering & Modernization

• Lead Oracle Xstore development, enhancements, and lifecycle management—focusing on stability, maintainability, and scalability.
• Drive major version upgrades, patching cycles, dependency modernization, and technical debt reduction with structured rollout plans.
• Expand and optimize configuration management: store-specific overrides, tenancy handling, global/local variance, and dynamic configuration models.
• Architect and implement core services, frameworks, and extension points that other teams can build on.

Compliance, Reliability & Global Expansion

• Implement country‑specific compliance requirements—fiscalization, tax rules, receipt specifications, privacy mandates, and transaction standards.
• Work cross-functionally to ensure adherence to local regulations, certification requirements, and retail compliance frameworks.
• Improve platform-level resiliency, startup health, and recovery processes

Observability & Operational Excellence

• Enhance and standardize observability across the entire POS landscape—logs, metrics, traces, health checks, dashboards, and alerting.
• Champion operational efficiency by designing better troubleshooting tools, diagnostics, self-healing mechanisms, and automated monitoring.
• Lead incident response and postmortems, reducing MTTR and improving fleet-wide reliability.

Collaboration & Leadership

• Provide technical leadership and mentorship for engineers across POS teams.
• Drive architectural discussions, propose foundational improvements, and establish engineering best practices.
• Guide cross-team initiatives and represent the POS Foundation in design reviews, rollout planning, and vendor interactions.

Minimum Requirements:

• 7+ years of engineering experience with a strong emphasis on Oracle Xstore (POS and Back Office), including customizations and environment management.
• Proven experience performing Xstore upgrades, patching, platform migrations, and architectural modernization.
• Deep understanding of retail store POS operations, system flows, configuration frameworks, and store-level constraints.
• Strong proficiency in Java (Xstore), RESTful services, integrations, and patterns for large-scale distributed retail systems.
• Experience building or evolving observability: logging pipelines, telemetry standards, dashboards, alerting, and health checks.
• Demonstrated ability to lead large technical initiatives with multiple stakeholders.
• Excellent communication skills and an ability to work cross-functionally with Ops, Security, Infrastructure, and Field teams.

Preferred Requirements:

• Experience supporting international POS deployments involving fiscalization, tax rules, receipt formats, and local compliance frameworks.
• Strong understanding of store networking fundamentals, deployment patterns, and offline/failover strategies.
• Exposure to performance tuning, startup optimization, service orchestration, and large-scale rollout management.
• Experience with automation (PowerShell, Bash, Python) for builds, deployments, and diagnostics.
• Previous work modernizing legacy retail platforms or designing foundational frameworks.

EEO Statement:

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Benefits & Perks:

Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer:

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

We are seeking a highly skilled Senior Splunk Enterprise Security Engineer to join our dynamic Security Engineering & Architecture team in Irving, TX. This is an exciting opportunity to lead the deployment, optimization, and administration of our Splunk Enterprise Security (ES) platform within a cloud-based environment. The ideal candidate will have extensive hands-on experience with Splunk ES, cloud security platforms, and a deep understanding of SIEM operations at an enterprise scale. This role offers a chance to work in a complex, high-volume environment and make a significant impact on the organization’s security infrastructure.

Job Title: Senior Splunk Security Engineer

Job Location: Irving, TX 75063

Job Duration: 12 Months with possible extension

Comments: The candidate must have hands-on Splunk expertise, with a minimum of 5+ years specific to Splunk Enterprise Security.

Additional Skills: Splunk Enterprise Security Administrator, Splunk Cloud Administrator.

Job Description:

We are seeking a Senior Splunk Enterprise Security Engineer to join our Security Engineering & Architecture team in Irving, TX. In this high-impact individual contributor role, you will own the deployment, optimization, and day-to-day administration of our Splunk Enterprise Security (ES) platform across a cloud-based environment supporting one of the largest retail operations in the country.

You will be the go-to subject matter expert for Splunk ES, partnering with SOC analysts, threat intelligence teams, compliance stakeholders, and IT leadership to ensure our security monitoring platform delivers maximum visibility, reliability, and value. This is a hands-on, technically deep role for someone who thrives in complex, high-volume environments and takes pride in building resilient security infrastructure.

Responsibilities:

• Lead the end-to-end administration of Splunk Enterprise Security across a cloud-hosted (AWS/Azure/GCP) deployment, including architecture decisions, capacity planning, performance tuning, and version upgrades.
• Design, implement, and maintain ES frameworks including notable event configurations, risk-based alerting, asset and identity correlation, and threat intelligence integrations.
• Develop and optimize correlation searches, dashboards, and investigation workflows to reduce alert fatigue and accelerate analyst response times.
• Drive data source onboarding and ensure CIM (Common Information Model) compliance for new and existing log sources across the enterprise.
• Partner with compliance teams to ensure Splunk ES configurations directly support PCI DSS, SOX, and NIST CSF audit and reporting requirements.
• Establish and maintain health monitoring for the Splunk environment, including search performance, indexing throughput, forwarder connectivity, and license utilization.
• Create and maintain operational documentation, runbooks, and knowledge base articles for Splunk ES administration and troubleshooting.
• Serve as the escalation point for complex Splunk issues and participate in incident response efforts during critical security events as needed.
• Evaluate and recommend new Splunk apps, add-ons, and integrations that strengthen the organization’s security posture.
• Collaborate with Security Architecture peers to align Splunk ES capabilities with the broader security tooling ecosystem and long-term technology roadmap.

Required Skills:

• 5+ years of hands-on experience with Splunk platform administration, with significant depth in Splunk Enterprise Security.
• Active Splunk certifications required: Splunk Enterprise Certified Admin and/or Splunk ES Certified Admin.
• Proven experience managing Splunk deployments in cloud environments (AWS, Azure, or GCP).
• Deep understanding of security monitoring, log management, SIEM operations, and event correlation at enterprise scale.
• Working knowledge of PCI DSS, SOX, and NIST CSF compliance frameworks and how they translate into SIEM use cases and reporting requirements.
• Strong SPL (Search Processing Language) proficiency, including complex statistical commands, lookups, macros, and data models.
• Experience with Splunk infrastructure components: indexers, search heads, heavy/universal forwarders, deployment servers, and cluster management.
• Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Desired Skills:

• Experience in large-scale retail or similarly complex, high-transaction-volume environments.
• Familiarity with Splunk SOAR (formerly Phantom) and security automation/orchestration workflows.
• Background in detection engineering, threat hunting, or SOC operations.
• Additional certifications such as CISSP, GIAC (GCIA, GCIH), or cloud security credentials (AWS Security Specialty, AZ-500).
• Experience with Infrastructure as Code (Terraform, Ansible) for Splunk deployment management.
• Scripting proficiency in Python, Bash, or PowerShell for automation and custom integrations.