Platform Engineer 4

About this role

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.

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