Staff Devops Engineer - Moveworks

Responsibilities

• Closely work with platform, machine learning, search, data, and frontend teams, understand their DevOps and infrastructure needs, influence DevOps roadmap, and lead as well as execute on various projects
• Design, build, and manage the Moveworks multi-tenant AWS cloud infrastructure ensuring scalability, performance, observability, resilience, and cost optimization
• Own all Kubernetes clusters and service deployments
• Improve observability and reliability of Moveworks systems by managing monitoring and alerting infrastructure (Prometheus, Grafana, PagerDuty, etc.)
• Build and manage CI/CD pipelines with infrastructure as code and full automation to provision and manage Moveworks application stack across different environments
• Design and manage networking infrastructure with best in class security practices at multiple Moveworks office sites
• Work with Moveworks' security team on enhancing the privacy and security posture of the Moveworks infrastructure
• To be successful in this role you have
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• 8+ years of experience in DevOps engineering and administration
• Strong technical expertise in designing and building AWS cloud infrastructure with extensive experience in managing AWS security groups, IAM roles, Elastic Load Balancers, Cloud Formation, and other AWS services
• Strong knowledge of VPN, AWS VPC, DNS, etc. and experience in troubleshooting network issues
• Strong coding discipline for DevOps - builds clean, testable, maintainable, extensible automation in Python (not ad-hoc scripts), focused on DevOps-owned self-serve frameworks and tools.
• Production experience operating and scaling search infrastructure (OpenSearch/Elasticsearch), including cluster sizing and performance tuning, shard/replica strategy, backup/restore, and reliability/latency optimization for customer-facing search workloads.
• Experience with deploying and managing Kubernetes clusters, Vault, Istio, etc.
• Working knowledge of disaster recovery process and security areas such as data backup and recovery, replication, AWS KMS, certificate management, encryption, penetration testing, vulnerability scanning, security tools, etc.
• Comfortability with tools such as Jenkins, Terraform, Ansible, Helm, etc.
• An appetite for working at a startup pace on challenging problems with a high degree of ownership
• Work Personas
• Equal Opportunity Employer
• Accommodations
• Export Control Regulations
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