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5451 Cloud Network Solutions Architect jobs in Chicago,IL

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Cloud Architect

CultureFit

Chicago, IL 60290

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Solution Architect

Aramco

Chicago, IL 60290

Onsite

Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field.
Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role.
Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds.
Cloud Infrastructure: Expert-level experience with at least one major cloud provider (AWS, Azure, or GCP) and their native data services.
Containerization: Experience with Docker and Kubernetes for deploying data services.
Data Processing: Strong proficiency in batch and stream processing.
Programming: Advanced coding skills in Python, or Java, along with expert-level SQL.
Database Systems: Extensive experience managing and querying various systems: Relational: PostgreSQL, MySQL, SQL Server, NoSQL/NewSQL: MongoDB, Cassandra, Warehousing/Lakehouses: Snowflake, Databricks, BigQuery.
Enterprise Architecture: Knowledge of enterprise architecture principles, including business architecture, information architecture, and technology architecture.

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.Net Solutions Architect

Signature IT World

Chicago, IL 60629

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Senior Cloud Security Engineer

BMO Financial

Chicago, IL 60604

OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

A university degree in Engineering, Computer Science, Information Technology, or a related field
7-10 years of experience developing and implementing security architectures and/or engineering, with demonstrated breadth across cloud, data, and/or AI security domains
Security certifications such as CISSP, CCSP, CCSK , or any Cloud Security Specialty certification (e.g., AWS Certified Security Specialty, Microsoft Certified: Azure Security Engineer Associate)
Demonstrated knowledge of cloud architecture, cloud operations, cloud-based identity and access management, security automation, and orchestration
Extensive experience with cloud-native security solutions and tools (e.g., AWS Security Hub, AWS GuardDuty, Microsoft Defender for Cloud, Azure Sentinel)
Knowledge of technical security control environments and compliance frameworks including CSA CCM, ISO 27001, ISO 27017, and NIST CSF
Working knowledge of AI/ML development frameworks and platforms (e.g., TensorFlow, PyTorch, SageMaker, Azure ML) and associated security risks
Familiarity with the OWASP Top 10 for LLMs , MITRE ATLAS , and NIST AI Risk Management Framework (AI RMF)
Understanding of MLOps pipeline security , including securing model registries, feature stores, training environments, and inference endpoints
Knowledge of Generative AI security risks , including prompt injection, jailbreaking, data leakage via LLMs, and supply chain risks in AI model dependencies
Experience implementing data loss prevention (DLP) , data classification , and data access governance solutions in enterprise environments
Knowledge of DSPM tools and practices
Understanding of data encryption at rest and in transit , tokenization, and key management for large-scale data environments
Familiarity with data privacy regulations (e.g., PIPEDA, GDPR, CCPA) and their technical implementation requirements
Experience securing cloud-based data platforms such as Snowflake, Databricks, AWS Redshift, Azure Synapse, or equivalent
Firm grasp of networking protocols and operations ; comfortable with packet analysis tools such as Wireshark, Burp Suite, nmap, Nessus, and Metasploit
Knowledge of the theoretical and applied cryptography , key management, and cryptographic algorithms (RSA, AES, TLS, PKI, etc.)
Knowledge of Identity and Access Management (IAM) concepts including SSO, SAML, federated identity, RBAC, and OAuth/OIDC
Strong scripting and programming skills with experience in Python, PowerShell, Bash, Node.js , and API/webhook development
Experience with Infrastructure as Code (IaC) security scanning tools (e.g., Checkov, tfsec, Prisma Cloud)
Demonstrable internal and external relationship-building skills with the ability to clearly articulate complex security concepts across a diverse corporate culture
Ability to lead in-depth workshops across a broad range of topics including cloud compliance, AI risk, and data governance
Strong ability to influence decision-making at senior leadership levels
Strong interpersonal, communication, and leadership skills
A critical thinker with strong research, analytical, and problem-solving skills
Self-motivated with a positive attitude and an ability to work independently and within a team
Ability to communicate complex technical concepts to a broad range of internal and external stakeholders, including business, legal, compliance, and technology leaders
Strong time management skills with the ability to manage multiple workstreams and mentor less experienced team members