Senior Infrastructure Engineer

Overview

Accountabilities

• Design, implement, and maintain scalable cloud infrastructure across AWS, Azure, and GCP environments, ensuring reliability, security, and operational efficiency.
• Lead infrastructure architecture initiatives for internal systems and client engagements, managing projects from scoping through deployment and optimization.
• Build and maintain Infrastructure as Code solutions using tools such as Terraform, Pulumi, or CloudFormation.
• Manage Kubernetes environments and containerized workloads, including deployment automation and Helm chart maintenance.
• Develop and maintain CI/CD pipelines and automation workflows to improve deployment reliability and engineering productivity.
• Implement observability and monitoring solutions using tools such as Prometheus, Grafana, ELK/OpenSearch, and related platforms.
• Collaborate with client teams to transfer infrastructure knowledge and establish sustainable operational practices.
• Contribute to open-source projects and actively participate in technical communities related to infrastructure and cloud engineering.
• Support cloud security best practices including IAM/RBAC, secrets management, pipeline security, and infrastructure governance.
• Mentor team members and collaborate asynchronously within globally distributed engineering teams.

Requirements

• 5+ years of experience in Infrastructure Engineering, DevOps, Platform Engineering, or related fields.
• Strong experience working with at least two major cloud providers among AWS, Azure, and GCP, with familiarity across all three.
• Advanced expertise in Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation.
• Hands-on experience with Kubernetes, container orchestration, and Helm chart development.
• Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI/CD, CircleCI, or similar tools.
• Strong knowledge of observability, monitoring, and logging solutions including Prometheus, Grafana, and ELK/OpenSearch stacks.
• Proficiency in Python or another scripting/programming language for automation and tooling.
• Experience with cloud security best practices including IAM, RBAC, secrets management, and secure pipelines.
• Strong understanding of Git, GitHub workflows, and remote asynchronous collaboration practices.
• Proven experience working directly with clients, translating technical requirements into scalable infrastructure solutions.
• Active open-source contributor or maintainer experience is strongly preferred.
• Familiarity with GitOps, MLOps, AI/ML infrastructure, SQL/databases, or configuration management tools such as Ansible is considered a plus.

Benefits

• Fully remote work environment with global collaboration opportunities.
• Competitive compensation package based on experience and location.
• Performance-based bonus opportunities.
• Comprehensive health and benefits package where applicable.
• Flexible work schedules with emphasis on work-life balance.
• Generous paid time off, sick leave, and parental leave policies.
• Opportunity to contribute directly to influential open-source projects and communities.
• Access to highly collaborative, transparent, and innovation-driven engineering culture.
• Exposure to cutting-edge cloud, AI/ML, and infrastructure technologies.
• Strong focus on professional growth, learning, and technical ownership.

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