1 Adobe Computer Scientist 2 Job

Full stack development and API utilization.
We help test, implement, and support secure end-user security technologies that provide security services to all of Adobe.
We integrate our tools with various other tools, including directories, clouds and security backends.
We Engineer secure identity solutions in containers and cloud environments.
We are a team of Security Engineers that handle incoming requests, respond to issues, solve reported problems, and develop solutions.
We meet with teams to get security requirements, understand workflows, and devise solutions.

Requirements:
Bachelors or Master s Degree in Computer Science, Cybersecurity, or Engineering related field or a Minimum of 9-12 years in an IT Security position.
Comfortable working on different projects with many teams at one time
Proficient in automation and testing.
In-depth understanding of Windows, Mac UNIX/Linux-based systems, permissions, and interoperability.
Solid understanding of machine-to-machine and application-to-machine connections using MFA, certificates, tokens, and other methods.
Strong understanding of the identity lifecycle, secure by design, least privileged and zero trust.
An in-depth knowledge and understanding of Privileged Identity and Access Management principles and best practices in common best-in-class products.
Strong understanding and experience in DevSecOps principles, building and supporting containerized systems.
Strong written and verbal communication
Ability to detail Use Cases, Requirements, Test Cases, and Workflow Diagrams in a technical environment
Experience in effectively leading projects
Strong troubleshooting and problem-solving skills.
Able to work independently and as a team member
Experience with cloud computing environments and management technologies such as AWS (Amazon Web Services), Azure, Kubernetes, Ansible, Jenkins, Chef, Docker, Git, etc.

Preferred:
Understanding of Desktop operating systems including Windows, Linux and Mac
Experience or knowledge of Encryption Key Lifecycle Management
Strong skillset with programming languages such as Java, JavaScript, Node, Go, Python, PowerShell etc.
Experience and Knowledge of dashboarding and log correlation engines such as Grafana, Telegraph, Splunk, Databricks etc.

The Person Should:
Have strong social skills, ability to win people over and be a great teammate
Be able to communicate, influence and mentor across business and executive leadership as well as partners and to explain the benefits and sell the solutions
Be neutral toward technology, vendor and product choices; more interested in results than in personal preferences
Have the ability to think creatively and to solve complex tasks and problems with minimal direction.