Lead Cloud Infrastructure Engineer (Kubernetes)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Cloud Infrastructure Engineer (Kubernetes) in United States. This role is designed for an experienced engineer passionate about cloud-native infrastructure and automation. You will take ownership of designing, building, and scaling multi-cloud environments while ensuring reliability, performance, and security. The position involves deep collaboration with engineering, DevOps, and product teams to implement highly available, self-healing systems that support millions of users. You will develop Kubernetes operators, controllers, and platform automation, champion infrastructure-as-code practices, and drive continuous improvement in governance, cost optimization, and observability. This role offers a high-impact opportunity to shape the cloud infrastructure strategy while working in a flexible, collaborative, and innovative environment. Accountabilities: • Design, implement, and scale multi-cloud infrastructure across AWS and Oracle Cloud Infrastructure (OCI). • Develop and maintain Kubernetes operators, custom controllers, and automation tooling using Go. • Build and maintain internal infrastructure services, including provisioning, configuration, observability, and policy enforcement. • Collaborate with DevOps and product engineering teams to enhance reliability, scalability, and developer experience. • Champion infrastructure-as-code (IaC) using tools such as Terraform and Helm, and optimize CI/CD pipelines. • Contribute to cloud governance, cost optimization, and security frameworks while promoting best practices. • Troubleshoot, debug, and architect high-availability, self-healing systems to support large-scale real-time workloads. • 5+ years of experience in software or infrastructure engineering roles. • Proficiency in Go (Golang) for distributed and concurrent system development. • Deep understanding of Kubernetes internals, including controllers, CRDs, and operators. • Hands-on experience with cloud platforms such as AWS and/or OCI, including IAM, networking, and service deployment. • Experience with containerization, Helm, and CI/CD pipelines (e.g., GitHub Actions, Jenkins). • Familiarity with observability and monitoring tools such as Prometheus, Grafana, and OpenTelemetry. • Strong problem-solving, debugging, and systems-level design skills. • Excellent collaboration, communication, and cross-functional teamwork abilities. • Competitive US-based salary range: $124,000 – $271,200, with additional bonus and equity opportunities. • Fully flexible remote work environment. • Comprehensive health benefits, including medical, dental, and vision coverage. • Retirement savings plans with company matching. • Wellness programs, employee assistance, and resources to support physical, mental, and financial health. • Paid time off and opportunities for professional development and career growth. • Collaborative, inclusive, and innovative work culture. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the role’s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match for the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps, including interviews or additional assessments, are then managed by their internal hiring team. Thank you for your interest! #LI-CL1 Apply tot his job