Software Engineer Manager – Cloud Platform Products

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead teams in the development of cloud platform products that facilitate and support agentic workloads.

• Take ownership of the entire process from roadmap and design to release and ongoing operations.

• Collaborate effectively with product management, UX, architecture, engineering, and non-engineering teams.

• Define Service Level Objectives (SLOs), observability, alerting, runbooks, and on-call readiness in partnership with Platform Reliability Engineering.

• Ensure adherence to quality, security, and change-control standards.

• Guide the design and development of services on Google Cloud and GKE utilizing infrastructure as code and CI/CD methodologies.

• Drive platform adoption through comprehensive documentation, self-service workflows, and tailored guardrails for different audiences.

• Establish security, governance, and cost control measures for non-engineering teams.

• Write code or scripts to automate infrastructure management, monitoring, and testing; engage in design and code reviews.

• Lead review board sessions to promote consistency across the enterprise.

• Address platform-related inquiries and serve as a technical escalation point.

• Participate in incident response efforts and conduct post-incident reviews.

• Monitor platform adoption and user feedback, using insights to implement product enhancements.

• Provide production application support as needed.

• Lead, mentor, coach, attract, retain, and develop a team of Software Engineers.

• Conduct annual and mid-year performance reviews.

• Manage team capacity, priorities, and workload across multiple products.

• Foster collaboration and create opportunities for engineers' career development.

• Advocate for modern software development practices, including AI-assisted development.

• Engage in communities of practice.

• Stay updated on new technologies and best practices related to cloud platforms, agentic AI, and platform engineering.

• Build relationships with technology leaders to gain insights into best practices.

⛳️ Requirements

• Must be at least eighteen years old.

• Must be legally authorized to work in the United States.

• Proficient in an object-oriented programming language, with a preference for Go.

• Experienced with Google Cloud Platform and Kubernetes (GKE) in a production setting.

• Bachelor's degree or equivalent in a related field.

• Minimum of 5 years of professional experience.

• 5-7 years of relevant work experience, including leadership or management of engineers.

• Demonstrated leadership experience and a strong technology-oriented mindset.

• Expertise in Golang for developing cloud-native services, APIs, and tooling.

• Deep knowledge of Google Cloud services, including GKE, IAM, networking, Cloud Run, Pub/Sub, and Cloud Storage.

• Proficient in infrastructure as code and GitOps practices such as Terraform, Helm, and Argo CD.

• Mastery of modern CI/CD and progressive delivery pipelines.

• Experience in building platforms or products that enable agentic and AI workloads.

• Skilled in designing platforms, APIs, and self-service workflows with exceptional documentation and user experience.

• Proficient in observability practices, including metrics, logging, tracing, SLOs, and alerting.

• Experienced in production support, incident management, and reliability engineering.

• Solid understanding of cloud security fundamentals, including identity management, secrets management, and network policy.

• Proficient in troubleshooting and resolving issues.

• Experience mentoring junior team members in Software Engineering fundamentals.

• Experienced in managing and developing team members.

• Capable of balancing workloads across teams and managing multiple products simultaneously.

• Adept at translating high-level strategies into actionable plans.

• AI-driven thinking, including the application of AI and agentic workflows to enhance engineering processes.

• Proficient in supporting a 24x7 retail operation.

• Must be able to operate effectively in a professional environment.

• Google Cloud Professional certifications are advantageous.

🏝️ Benefits

• Typically requires overnight travel 5% to 20% of the time.

• Offers a remote/virtual work arrangement.