招聘
必备技能
Python
Terraform
As a Senior Security Engineer specializing in Identity Architecture & Solutions, you will craft, build, and operationalize scalable identity and SaaS security capabilities across the enterprise. This role is a technical leader within the Enterprise Security organization, and they should be passionate about Identity & SaaS Security functions and identity architecture strategy. As an organization, we collaborate on driving measurable reductions of identity-centric risk. This role is critical to delivering on that vision.
The Challenge
- Engineer Zero‑Trust access controls across workforce and service identities: implement pipelines using RBAC+ABAC standards, device and posture checks, and risk‑adaptive policies for critical services and high-risk scenarios.
- Harden privileged access: migrate administrators to right‑size entitlements and eliminate long‑lived elevated access across prioritized platforms (e.g., Entra ID, Privileged Access Management).
- Stand up SaaS security posture monitoring: participate in tool POCs and deployments; define baselines for M365/Slack/GitHub/Workday/Google; build remediation runbooks and posture success measurements.
- Instrument identity metrics collection and tracking: standardize log schemas for authentication (AuthN)/authorization (AuthZ) and entitlement changes; publish dashboards for privilege drift, misconfigurations, and access sprawl; coordinate risky events to security alert procedures.
- Contribute and drive architecture & standards: author implementation guides and reference architecture that supports a multi‑year strategy passionate about measuring risk reduction over time. Inclusive of new technologies and risks.
What is needed to succeed
- Depth of experience with enterprise identity controls and solutions, including delivering outcomes that use Entra ID/AD, Okta, and Sail Point (or equivalents)
- Strong understanding of core Zero Trust principles, the least privilege and continuous verification models, and Identity governance and administration (IGA)
- SaaS posture skills for securing large SaaS tenants (M365, Slack, GitHub, Workday, Google), including security Authn and Authz for all identities accessing SaaS tenants
- Influence & collaboration with key partners in IT and other security teams and organizations
- Excellent written and verbal communication skills, including communicating complex problems and solutions to business leaders and technical specialists
Preferred
- Engineering experience with secure access control solutions (e.g. Teleport, Vault), secrets management, and CI/CD solutions and their customers.
- Scripting/automation knowledge (e.g., Python, PowerShell) and infrastructure‑as‑code (e.g., Terraform) for policy and pipeline automation.
- Exposure to service identity frameworks (e.g., SPIFFE/SPIRE) and workload identity patterns.
- Experience/Education requirements ~10+ years relevant experience; Bachelor’s required, Masters preferred or equivalent experience.
- Technical lead experience in enterprise environments
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together:
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $168,200 -- $310,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $214,100 - $310,100
In Washington, the pay range for this position is $194,000 - $281,000
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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关于Adobe

Adobe
PublicAdobe Inc., formerly Adobe Systems Incorporated, is an American multinational computer software company based in San Jose, California.
10,001+
员工数
San Jose
总部位置
$126B
企业估值
评价
2.9
2条评价
工作生活平衡
3.0
薪酬
3.2
企业文化
2.5
职业发展
2.3
管理层
2.5
25%
推荐给朋友
优点
Competitive base salary for new graduates
Good entry-level compensation in major markets
Established company with financial stability
缺点
Limited skill transferability to other tech stacks
Unclear compensation competitiveness
Negative reviews and limited information about AEM
薪资范围
751个数据点
L2
L3
L4
L5
L6
L2 · Cybersecurity Analyst L2
0份报告
$97,523
年薪总额
基本工资
$39,009
股票
$48,762
奖金
$9,752
$68,266
$126,780
面试经验
3次面试
难度
3.3
/ 5
面试流程
1
Application Review
2
Online Assessment (HackerRank)
3
Technical Interview
4
Coding Rounds
5
System Design Interview
6
Behavioral Interview
7
Team Matching
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
GenAI/ML Concepts
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