Staff Devops Engineer - Moveworks

What You Will Do

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

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