Lead Software Engineer - Automation & Development

Responsibilities

• Design and deliver automation for virtualized cluster lifecycle management from provisioning through decommissioning.
• Automate configuration, patching, compliance enforcement, and operational controls through platform and infrastructure APIs.
• Lead production deployments, establish runbooks, and drive operational readiness.
• Diagnose complex distributed-system issues using structured troubleshooting, root-cause analysis, and data-driven decision-making.
• Implement durable automation to eliminate recurring operational problems and manual remediation.
• Establish validated AI-assisted engineering practices for code quality, testing, performance, security, and incident resolution.
• Define engineering standards for system design, testing strategy, and service reliability.
• Document architecture and design decisions for auditability, maintainability, and scalability.
• Collaborate with global engineering partners, influence technical direction, and mentor engineers.

Requirements

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Strong system design fundamentals, including API design, data modeling, testing strategy, and operational stability.
• Proficiency in Go, Java, or Python for building scalable server-side services.
• Experience using AI-assisted development tools with validation standards for correctness, performance, and security.
• Strong understanding of data sensitivity and secure handling in AI-assisted workflows and developer tooling.
• Hands-on experience with virtualization, virtual machine lifecycle management, and compute, memory, storage, and networking resource domains.
• Experience automating Kubernetes or Red Hat OpenShift cluster lifecycle and day-two operations, including upgrades and configuration management.
• Experience developing and maintaining automated workflows in complex distributed environments with strong troubleshooting skills.
• Experience with workflow orchestration at scale.
• Preferred: experience with Temporal or comparable workflow orchestration frameworks.
• Preferred: familiarity with VMware ESXi, Red Hat OpenShift Virtualization, or KVM.
• Preferred: experience with cloud-native services, containerization, continuous integration and delivery, and observability.
• Preferred: demonstrated mentoring, coaching, technical leadership, and engineering-standard improvement.

Benefits

• Competitive total rewards and benefits package, including health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Eligible roles may receive discretionary incentive compensation in cash and/or forfeitable equity.
• The employer provides equal-opportunity employment and reasonable accommodations.