Platform Engineer 4

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.

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.

Relevant Bachelor’s degree or equivalent experience in Computer Science or a related field is required. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash