5621 Cloud Implementation Manager jobs in Chicago,IL

Bachelor's degree
3-5+ years of project management experience
Demonstrated success in executing on project plans and/or operational improvements
Strong interpersonal skills and ability to connect with a diverse customer and employee population
Proven ability to manage projects in a fast-paced environment
Good communication skills
Client-focused, positive and professional attitude
Organized, detail oriented, accurate and responsive
Financial, banking and/or lending industry experience highly preferred
Familiar with the Atlassian products (Confluence and Jira)
Prior experience in SaaS implementation is preferred

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Principal 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 **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)**