Senior Lead Software Engineer
About The Position
Execute creative software solutions, design, development, and technical troubleshooting for virtualized cluster lifecycle automation. Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using Platform APIs. 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. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability. Lead production-grade deployments, own technical solutions, diagnose issues using structure troubleshooting methods. Work with large-scale infrastructure projects. Document design decisions to enhance auditability. Mentor engineers through design reviews, code reviews, and technical guidance that elevates engineering standards. Collaborate, influence, and partner with peers across global teams. Responsible for supporting production reliability through SRE practices, operational excellence, and timely user support, including incident response, troubleshooting, and continuous improvement.
Requirements
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Strong fundamentals in system design: API design, data modeling, testing strategy, and operational stability.
- Proficiency in Go and Java building scalable server-side services.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment.
- 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.
- Experience coaching senior engineers/leads on compliant usage patterns and controls.
- Solid experience in ESX infrastructure development, including provisioning, automation, orchestration, and lifecycle management for virtualized environments.
- Hands-on experience automating OpenShift or Kubernetes cluster lifecycle and Day-2 operations (upgrades, configuration management, policy/compliance alignment).
- Experience developing and maintaining automated workflows in complex distributed environments.
- Strong troubleshooting skills.
- Experience with workflow orchestration at scale (Temporal strongly preferred; similar orchestration acceptable).
Nice To Haves
- Hands-on experience with virtualization automation (VM lifecycle and resource concepts: CPU, memory, storage, networking).
- Demonstrated track record mentoring engineers and raising engineering standards.
- Familiarity with hypervisor environments (VMware ESXi, OpenShift, KVM).
- Cloud-native experience (containers, CI/CD, observability, reliability engineering).
- Passion for innovation, AI, and continuous improvement.
Responsibilities
- Execute creative software solutions, design, development, and technical troubleshooting for virtualized cluster lifecycle automation.
- Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using Platform APIs.
- Drive team adoption of enterprise-authorized AI-assisted engineering practices.
- Establish consistent validation standards (secure coding, peer review, automated testing) and promote reuse of effective patterns.
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability.
- Lead production-grade deployments, own technical solutions, and diagnose issues using structured troubleshooting methods.
- Work with large-scale infrastructure projects.
- Document design decisions to enhance auditability.
- Mentor engineers through design reviews, code reviews, and technical guidance.
- Collaborate, influence, and partner with peers across global teams.
- Support production reliability through SRE practices, operational excellence, and timely user support, including incident response, troubleshooting, and continuous improvement.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
