Job Description
We are seeking a highly skilled and experienced Senior Infrastructure Engineer to join our dynamic team. The ideal candidate will be passionate about building and maintaining complex systems, with a holistic approach to architecture. You will play a key role in designing, implementing, and managing cloud infrastructure, ensuring scalability, availability, security, and optimal performance. You will also provide mentorship to other engineers, and engage with clients to understand their needs and deliver effective solutions.
Responsibilities:
· Design, architect, and implement scalable, highly available, and secure infrastructure solutions, primarily on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).
· Develop and maintain Infrastructure as Code (IaC) using Terraform for enterprise-scale maintainability and repeatability.
· Utilize Kubernetes deployment tools such as Helm/Kustomize in combination with GitOps tools such as ArgoCD for container orchestration and management.
· Design and implement CI/CD pipelines using platforms like GitHub, GitLab, Bitbucket, Cloud Build, Harness, etc., with a focus on rolling deployments, canaries, and blue/green deployments.
· Ensure auditability and observability of pipeline states.
· Implement security best practices, audit, and compliance requirements within the infrastructure.
· Provide technical mentorship, and training to engineering staff.
· Engage with clients to understand their technical and business requirements, and provide tailored solutions.
· Troubleshoot and resolve complex infrastructure issues.
Qualifications:
· 5+ years of experience in Infrastructure Engineering or similar role.
· Extensive experience with Google Cloud Platform (GCP) and/or Amazon Web Services (AWS).
· Proven ability to architect for scale, availability, and high-performance workloads.
· Deep knowledge of Infrastructure as Code (IaC) with Terraform.
· Strong experience with Kubernetes and related tools (Helm, Kustomize, ArgoCD).
· Solid understanding of git, branching models, CI/CD pipelines and deployment strategies.
· Experience with security, audit, and compliance best practices.
· Excellent problem-solving and analytical skills.
· Strong communication and interpersonal skills, with the ability to engage with both technical and non-technical stakeholders.
· Experience in technical mentoring, team-forming and fostering self-organization and ownership.
· Experience with client relationship management and project planning.
Certifications:
· Relevant certifications (e.g., Kubernetes Certified Administrator, Google Cloud Certified Professional Cloud Architect, etc.).
· Software development experience (e.g., Terraform, Python).
· Experience/Exposure with machine learning infrastructure.
Education:
· Bachelor's degree in Computer Science, a related field, or equivalent experience.
