Job summary
Job post source
This job is directly from Morgan Stanley
Job overview
The Cloud Security Engineer at Morgan Stanley focuses on developing and implementing security requirements for AI and ML cloud services to protect the firm's cloud infrastructure at enterprise scale.
Responsibilities and impact
The role involves conducting security research and testing on cloud services across Azure, AWS, and GCP, developing firm-wide security requirements, collaborating with engineering teams, identifying risks and proposing mitigations, documenting and presenting risks to senior stakeholders, and providing security expertise and leadership in project teams.
Compensation and benefits
The expected base pay ranges from $95,000 to $135,000 for Director level and $120,000 to $170,000 for Vice President level, with additional compensation including commissions, bonuses, and other incentive packages, alongside comprehensive employee benefits and perks.
Experience and skills
Candidates should have a bachelor's degree or equivalent experience with 5-7 years in information security, strong hands-on cloud security experience, knowledge of cloud architectures and security technologies, proficiency in at least one major cloud provider, excellent communication skills, and the ability to manage high-pressure situations and adapt to changing priorities.
Career development
Morgan Stanley offers ample opportunities for career growth and movement within the business for passionate and driven employees, supported by a culture of collaboration and empowerment.
Work environment and culture
The company values diversity, integrity, and excellence, fostering a collaborative and creative work environment with a strong commitment to employee support and inclusion.
Company information
Morgan Stanley is a leading global financial services firm with over 89 years of history, operating in more than 42 countries and providing investment banking, securities, wealth management, and investment management services.
Team overview
The candidate will join the Cloud and Platform Security team within Cyber Data Risk & Resilience, a group focused on enabling secure cloud-native services and building enterprise security tooling and automation.
Job location and travel
Morgan Stanley operates globally with offices in over 42 countries; specific location details are not provided but the role likely involves working within these global offices.
Unique job features
The role uniquely focuses on security for AI and ML cloud services, offering the opportunity to work with cutting-edge cloud technologies and collaborate with top professionals in the field.
Company overview
Morgan Stanley is a leading global financial services firm that provides investment banking, securities, wealth management, and investment management services. The company generates revenue through advisory fees, trading commissions, asset management fees, and interest income from lending activities. Founded in 1935, Morgan Stanley has a rich history marked by its role in major financial transactions and its resilience through economic cycles. The firm is known for its strong client relationships and innovative financial solutions.
How to land this job
Position your resume to showcase your deep experience in cloud security, focusing on expertise with Microsoft Azure, AWS, and GCP, and your ability to develop firm-wide security requirements for cloud services at scale.
Highlight your hands-on experience with cloud resource hardening, knowledge of IAM, DLP, security automation, and your capability to conduct security research and risk assessment in cloud environments, especially related to AI and ML services.
Apply through multiple channels such as Morgan Stanley's official careers page, LinkedIn job postings, and other trusted job boards to maximize the reach of your application.
Connect with professionals in Morgan Stanley's Cyber Data Risk & Resilience division on LinkedIn, using ice breakers like commenting on recent cloud security initiatives, asking about their experience working on AI/ML security projects, or expressing enthusiasm about the firm’s commitment to secure cloud adoption.
Optimize your resume for ATS by integrating keywords from the job description like 'cloud security engineering,' 'security requirements,' 'risk identification,' 'IAM,' 'security automation,' and 'AI/ML cloud services' to ensure your resume passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application points, and find relevant LinkedIn connections, allowing you to focus your energy on preparing for interviews and networking effectively.
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