Staff Engineer, Devops
- Design and build next-generation CI/CD pipelines leveraging GitLab, Argo CD, and native automation tools and Define standards for branching, code review, testing, and deployment automation.
- Establish internal tooling and developer workflows to enhance productivity and reduce friction andImplement observability and feedback loops to continuously improve engineering velocity and reliability.
- Architect and manage cloud-native infrastructure across AWS (or GCP) including EKS / GKE, EC2, Cloud Run, Lambda, and Cloud Functions and Implement and manage Docker containers, Kubernetes clusters, and associated configurations like ConfigMaps, Secrets, and Ingress rules.
- Configure and maintain Artifactory, API Gateways, and message bus systems (Kafka / PubSub / SQS).Own Infrastructure as Code (IaC) using tools like Terraform or Pulumi to enable reproducible and scalable environments.
- Develop robust data pipeline infrastructure leveraging managed Airflow (MWAA / Cloud Composer).
- Drive best practices around data schema versioning, metadata management, and data lineage tracking, Partner with data engineers and ML practitioners to productionize models and orchestrate model deployment workflows.
- Integrate security-by-design principles across the SDLC and Automate vulnerability scanning, dependency checks, and container image security using modern AI-assisted tools.
- Ensure compliance, secrets management, and secure configuration baselines across cloud and on-prem systems and be the advocate to implement policy-as-code frameworks to maintain guardrails while enabling agility.
- 7+ years of DevOps / Platform / Infrastructure experience, with at least 3+ years in a staff or principal-level role.
- Deep expertise in GitLab CI/CD, Kubernetes, Docker, and Argo CD.
- Proven experience managing infrastructure in AWS /or GCP cloud environments.
- Hands-on experience with Terraform, Helm, and container orchestration at scale.
- Solid understanding of networking, security, observability, and secrets management.
- Familiarity with managed Airflow, data pipelines, and schema versioning best practices.
- Passion for automation, developer empowerment, and building systems that scale.
- Experience implementing DevSecOps frameworks and integrating AI-driven security tools.
- Exposure to machine learning infrastructure, model registry tools, and MLOps workflows.
- Excellent communication skills and the ability to lead cross-functional initiatives independently.
- Prior experience as a founding or early engineer in a fast-paced startup environment.
- Robust health coverage. Excellent health, dental and vision insurance covered up to 100% by ALSO with FSA & HSA options.
- One Medical membership and dedicated insurance advocates.
- Rich fertility and family building benefits with Progyny.
- Flexible time off.
- 401(k) match.
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