Senior Manager, DevOps
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Job Description
Senior Manager, DevOps leading infrastructure and platform engineering efforts at TrueML. Focus on cloud architecture and CI/CD standards for machine learning-driven products.
Responsibilities:
- Define and execute the long-term strategic vision for Infrastructure as Code (IaC), CI/CD evolution, and cloud-native architecture to support TrueML’s scaling needs.
- Lead the design and implementation of self-service internal platforms to reduce developer cognitive load, enabling feature teams to deploy and manage services with minimal friction at increased velocity.
- Act as the primary stakeholder for cloud spend (AWS); drive cost-optimization initiatives and lead contract negotiations for the DevOps toolstack and third-party vendors.
- Ensure the infrastructure architecture supports strict High Availability (HA) requirements and robust Disaster Recovery (DR) protocols, maintaining system integrity across multiple regions.
- Oversee the implementation and evolution of comprehensive monitoring, logging, and distributed tracing systems, leveraging AIOps to move from reactive to predictive system maintenance.
- Champion security by design by integrating automated vulnerability scanning, secret management, and compliance checks directly into the automated build pipelines.
- Serve as the ultimate escalation point for major production outages, facilitating blameless post-mortem reviews that focus on systemic improvements rather than individual error.
- Maintain deep technical currency in container orchestration (Kubernetes), serverless patterns, and modern automation frameworks to provide meaningful mentorship and architectural guidance to senior engineering staff.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 10+ years of experience in DevOps, Site Reliability Engineering (SRE), or Software Engineering; 5+ years of experience managing engineers
- Expert-level mastery with AWS and experience managing multi-region, high-availability deployments
- Advanced experience with Kubernetes (K8s) and Docker, including cluster management, networking, and scaling in a production environment.
- Proficiency in Terraform to drive consistency and automation across all infrastructure layers. Experience with Atlantis is a plus.
- Deep experience designing and maintaining complex pipelines (GitHub Actions, GitLab CI, or Jenkins) and mastery of scripting languages like Python, Go, or Bash.
- Hands-on experience with modern monitoring, observability, and tracing stacks (Datadog, Observe) and a firm grasp of SRE principles (SLIs/SLOs/Error Budgets).
- Experience acting as an Incident Commander for high-severity outages and fostering a "blameless" post-mortem culture.
- Demonstrated ability to influence executive leadership and collaborate cross-functionally with Product, Engineering, and Security teams.
- Experience integrating AI-assisted productivity tools (Cline, GitHub Copilot) into the engineering workflow to accelerate delivery.
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