Duties- Collaborate with multiple teams to build, deploy, and support large-scale containerized workload platforms in global private cloud datacenters and public cloud providers.
- Deliver highly secure and efficient solutions within comprehensive compliance regulations, balancing operational requirements and business priorities.
- Integrate various technologies to provide monitoring, alerting, reporting, and tangible improvements in performance, reliability, and cost efficiency.
- Support software development teams with onboarding and using container-based solutions, identifying requirements gaps, and recommending practical improvements.
- Work in an agile operations framework, balancing sprint-based work with daily operational needs.
- Lead extensive platform engineering efforts with little supervision, focusing on delivery, quality, operational readiness, and continuous advancement across multiple systems.
- Troubleshoot and resolve complex problems spanning multiple systems and environments, delivering root-cause analysis and build suggestions.
- Lead architecture and build reviews for container platform capabilities, influencing decisions affecting reliability, scalability, security, and maintainability.
- Own full-system builds for platform services spanning compute, networking, storage, observability, deployment automation, security controls, and operational readiness.
- Serve as a technical leader for complex platform initiatives, leading cross-team build discussions and providing recommendations to senior collaborators.
- Participate in an on-call rotation to handle issues that have been brought up.
- Partner with third-party vendors to review options, propose solutions, and improve performance, reliability, and cost efficiency.
Skills and Experience- A minimum of 5 years' experience handling environments on public cloud platforms, with a preference for Azure and AWS.
- Over 5 years of experience with Linux, including significant OS deployment and automation on a broad scale.
- More than 5 years of experience in software engineering involving various programming languages, preferably Python and Go.
- Hands-on experience with Kubernetes operations, including deployment strategies, upgrades, cluster security, fixing issues, and observability tools.
- Proficiency with software version control systems and release management, preferably Git.
- Working knowledge of CI/CD pipelines and GitOps practices for continuous deployment and infrastructure management.
- Demonstrated knowledge of security guidelines and compliance requirements for cloud-native infrastructure.
- Strong practical understanding of architectural patterns, full-system build, and tradeoff analysis.
- Ability to own programming, automation, and testing plans for significant platform solutions.
- Proficiency in profiling, optimizing, and refactoring existing services and infrastructure code.
- Demonstrated ability to lead cross-team technical discussions and influence technical direction.
- Experience using AI-assisted development, automation, or observability techniques.
- Experience with both public and private cloud platforms and hybrid cloud architectures.
- Excellent written and verbal communication skills.
- Analytical problem-solving skills, adaptability, and the ability to independently learn and apply evolving practices.
- Passionate about crafting and supporting complex IT systems.
- Ability to share knowledge through mentoring, teaching, documentation, and technical guidance.
- Ability to work effectively within a small, customer-focused team and collaborate across multi-functional groups.
- Effective time management ensuring commitments are communicated and met.
- Proven ability to turn builds, compliance, and support references/content into documentation, presentations, and training materials.
Education- Relevant Bachelor's degree or equivalent experience in Computer Science or a related field is required.
About AdobeAdobe 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 GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
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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 $139,000 - $257,550 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 $177,900 - $257,550
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 OrdinancesAdobe 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 NoticeIf 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 NoticeIt 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.
