Lead Software Engineer - Python/Automation

Job responsibilities: Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Design and deliver solutionsthat address complex business and technical challenges across the storage product domain Builds secure, high-quality production softwarein Python, applying best practices in testing, code review, observability, and performance tuning Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and partner with cross-functional stakeholders (engineering, product, operations, risk/security) to refine requirements, propose architectures, and deliver outcomes aligned to customer needs and business goals Debug and troubleshootcomplex issues in distributed systems with leading root-cause analysis and drive long-term fixes Mentors junior engineers through coaching, pairing, reviews, and knowledge sharing—raising engineering standards across the team. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Demonstrated strength insystem design, application development, testing strategies, andproduction operations/stability Advanced in one or more programming language(s) and framework(s) (e.g., Python, Java, Fast API, Django, Rest API design, Containers, etc.) Experience withdistributed systems and messaging, such asRabbitMQ(or equivalent) Experience with modern data stores such asCockroach DB(or equivalent distributed SQL/NoSQL systems). Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations with experience coaching engineers on safe, compliant and adoption within delivery practices Proficient in all aspects of the Software Development Life Cycle from requitements and design through production support and continuous enhancement Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, including automation (testing, deployment practices, secure coding, least privilege, incident response, SLOs/SLIs) Practicalcloud-native experience(e.g., containerization, infrastructure-as-code concepts, managed services), including exposure toAWS Preferred qualifications, capabilities, and skillsExperience withstorage systems, infrastructure technologies, or platform engineering domains Exposure tomodern and emerging technologies(e.g., event-driven architectures, service mesh, zero trust patterns, AI-assisted engineering) Experience modernizing legacy systems and improving reliability at scale