Certified Cloud Architect

Hybrid in Madison, WI, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Able to Sponsor
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Amazon Web Services
  • Apache Velocity
  • Cloud Computing
  • Continuous Integration
  • Application Service Management
  • Microsoft Azure
  • Performance Monitoring
  • Security Operations
  • Threat Analysis
  • Tier 2
  • Generative Artificial Intelligence (AI)
  • DevSecOps
  • Artificial Intelligence
  • Continuous Delivery

Summary

On of our clients is looking for Certified Cloud Architect based  on following skills:

 

The State of Wisconsin is looking for one (1) Certified Cloud Architect (no certification is required for this role)

Objective: To build long-term internal capabilities while operationalizing and enforcing the State’s newly updated Flaw Remediation (SI-2) Standard. This initiative transitions the State from reactive, manual vulnerability management to an AI-accelerated, continuous authorization, and automated DevSecOps posture.

 

 

Top Required Skills & Years of Experience:

Must be able to demonstrate prior experience doing the following in a large/complex environment:

·         Proven experience serving as a trusted technical advisor to CISOs, CIOs, or senior executive leaders within public sector or heavily federated enterprise environments.

·         Documented success as a technical mentor, trainer, or engineering lead focused on pair-engineering and technical upskilling of infrastructure and security operations staff.

·         Comprehensive expertise operationalizing security controls, including tiering models, compensating control validation, and time bound risk governance structures.

·         Enterprise cyber stack Google Threat Intel or VirusTotal, Google SecOps, Mandiant ASM, Tenable.io, Microsoft Azure Arc, GitHub, GitHub Advanced Security, Ansible Tower, and Gemini/Anthropic AI security frameworks.

·         -Cloud Architecture & DevSecOps Engineering

 

Nice to have Skills:

·         Federated/Government environment

·         Tech Stack to include: Google, Microsoft, AWS, Splunk

 

Onsite or Remote: Candidate MUST be a WI resident or willing to relocate to WI prior to starting the role at their own expense. This position can work 100% remote with occasional onsite visits 1-2 times required throughout the duration of the contract.

 

Request for Services (RFS

Cybersecurity AI Implementation for Accelerated Exposure Reduction

Time & Materials (One-Time Initiative) ~1,800 Hours over 12 Months

1. Purpose and Objective

The State of Wisconsin, Department of Administration (DOA), Division of Enterprise Technology (DET), Bureau of Security (BOS) requires an expert senior technical leader and engineer to serve as a strategic advisor to the CISO and drive the statewide implementation of the Accelerated Exposure Reduction Plan.

This role balances high-level strategic advisory with hands on engineering, operating on a "teach-by-doing" knowledge transfer model. The primary objective is to build long-term internal capabilities while operationalizing and enforcing the State''s newly updated Flaw Remediation (SI-2) Standard. This initiative transitions the State from reactive, manual vulnerability management to an AI-accelerated, continuous authorization, and automated DevSecOps posture.

2. Scope

The consultant shall perform hands-on engineering, deliver strategic CISO advisory, and provide direct mentoring across the following core operational pillars:

2.1 CISO Strategic Advisory and Engineering

  • Act as a direct technical advisor to the CISO, translating federal mandates, emerging AI threat models, and architectural gaps into actionable enterprise security directives.
  • Execute a hands-on knowledge transfer model, co-engineering data pipelines and security automation alongside internal DET staff to institutionalize elite technical skills.
  • Deliver real time training and co-develop automation playbooks within the security operations (SecOps) using live demonstration approach.

2.2 Flaw Remediation (SI-2) Standard Operationalization

  • Tier Optimization & Enforcement: Architect automated tracking, logging, and validation mechanisms to implement compliance with the State’s updated SI-2 timeframes:
  • Tier 1 (Highest Urgency): Ensure all public-facing vulnerabilities, CISA KEV listings, active exploits, and identity/privileged system flaws implement approved mitigations or compensating controls within 24 hours, with full remediation closed inside 7 calendar days.
  • Tier 2 (High-Risk/Internal): Configure alerting and metric reporting to validate mitigation within 48 hours and full remediation within 15 calendar days.
  • Tier 3 (Moderate/Low): Establish repeatable monthly scheduling to ensure remediation within 30 calendar days.
  • Clean Deployment Architectures: Partner with agency development teams to pivot away from manual, in-place patching. Author and implement automated templates for clean deployments using virtualized system images, containers, and cloud-native configurations.
  • DevSecOps Integration: Embed secure builds, automated software testing, code scanning, and dependency updates natively into agency deployment pipelines.

2.3 AI Capability Deployment & Toolchain Integration

  • Operationalize Gemini Government and Google Codemender or equivalent directly inside active workflows, showing security analysts and application developers how to leverage generative AI to automate log parsing, threat hunting, and source-code remediation.
  • Engineer automated data pipelines to feed the centralized enterprise platform (incorporating telemetry from Tenable.io, Google Mandiant ASM, Microsoft Azure Arc, Splunk, and Google SecOps) to maintain a single, authoritative pane of glass.
  • Ensure all AI-assisted capabilities comply strictly with State privacy, data classification, and logging safeguards, preventing non-public vulnerability metrics from leaking into unvetted environments.

2.4 Governance Safeguards & Escalation Automation

  • Build automated low-code workflows to manage the SI-2 time-bound exception lifecycle, ensuring every granted exception maps back to a named owner, specific compensating controls, and an explicit financial tiedown capturing technical debt.
  • Configure automated alert thresholds and workflow routing for significant business risks that exceed normal management tolerance, ensuring rapid escalation in line with the SI-2 update.

3. Project Timeline

Project

Description

Target Schedule

1: SI-2 Baseline & Architecture Alignment

Mapping of all automated data feeds (Tenable, Mandiant, Azure Arc) into the single authoritative platform, aligned to track Tier 1, 2, and 3 findings.

Day 30

2: Co-Engineered AI Playbooks

Delivery of production-ready LLM and Frontier Cyber model runbooks and prompt libraries, co-developed with internal staff via hands-on mentoring.

Day 45

3: Automated Exception & Escalation Engine

Implementation of automated workflow paths for time-bound exceptions, financial tiedowns, and high-risk executive escalation paths.

Day 60

4: DevSecOps Clean Deployment Framework

Standardization of approved repository templates and CI/CD security gate controls to enforce clean deployment preferences.

Day 75

5: Knowledge Transfer & Sustainment Hand-off

Final technical transition briefing, configuration documentation, and validation logs proving internal staff autonomy in sustaining the SI-2 operational baseline.

Day 90–365 (Ongoing)

4. Minimum Qualifications and Core Competencies

The designated expert must demonstrate a unique blend of strategic advisory presence and deep, practical engineering capability:

  • Executive Advisory: Proven experience serving as a trusted technical advisor to CISOs, CIOs, or senior executive leaders within public sector or heavily federated enterprise environments.
  • Teach-by-Doing Expertise: Documented success as a technical mentor, trainer, or engineering lead focused on pair-engineering and technical upskilling of infrastructure and security operations staff.
  • Security Control Mastery (SI-2): Comprehensive expertise operationalizing security controls, including tiering models, compensating control validation, and time bound risk governance structures.
  • Advanced Tooling Fluency: enterprise cyber stack Google Threat Intel or VirusTotal, Google SecOps, Mandiant ASM, Tenable.io, Microsoft Azure Arc, GitHub, GitHub Advanced Security, Ansible Tower,  and Gemini/Anthropic AI security frameworks.
  • Cloud Architecture & DevSecOps Engineering

5. Performance Monitoring & Safeguards

  • Knowledge Transfer Auditing: Progress will be measured not only by technical deployment velocity but also by the documented proficiency gains of internal DET staff who assume ownership of the deployed tools.
  • Data Isolation Guardrails: The consultant is strictly forbidden from utilizing public or unvetted commercial AI models for analyzing State code, logs, or asset data. All engineering must occur exclusively within authorized, state-managed enterprise security instances.

 

 

 

 

Swati Bhardwaj

Digitek Software, Inc.

650 Radio Drive

Lewis Center, OH 43035

Work: x 3135

Fax:

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: digitek
  • Position Id: SB0729202602
  • Posted 6 hours ago
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