Lead DevOps Engineer

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At Sales Ai
, we’re revolutionizing the way companies sell and serve with cutting‑edge, AI‑driven technology. Our rapidly growing SaaS platform helps businesses seamlessly integrate AI into sales and support workflows—making operations smarter, faster, and more effective. We’ve grown to over $6M in ARR in under nine months
, thanks to a world‑class team that thrives on innovation, collaboration, and a drive to shape the future of AI. We believe AI should be simple, powerful, and accessible, and we’re building the tools to make that a reality. Join us to shape the future of AI solutions that are human‑centered, scalable, and transformative.

We are seeking a skilled and experienced Lead Dev Ops Engineer to lead our efforts in scaling our systems and accelerating feature delivery. In this pivotal role, you will champion our Dev Ops practices, oversee the entire CI/CD pipeline, drive infrastructure‑as‑code (IaC) adoption, and set high standards for system reliability, security, and observability. You will also lead a team of Dev Ops/SRE engineers and ensure their automation, monitoring, and tooling initiatives are effectively aligned with overall product and business goals.

This is a key opportunity for someone passionate about fostering a collaborative, blameless, and high‑performing engineering culture focused on operational excellence across all environments.

• Collaborate:
  Bridge the gap between development and operations teams to drive rapid, reliable, and secure software delivery.
• Incident and Crisis Management:
  Be the calm, empathetic voice in the storm while driving decisive leadership to ensure fast, quality resolution. Develop and manage incident response processes.
• Monitoring and Observability:
  Ensure we have the appropriate abilities to oversee and leverage monitoring, tracing, and logging tools to quickly diagnose root cause while maintaining continuous insight into overall operations and risk.
• Pipeline Operations:
  Ensure automated builds, tests, and deployments run successfully. Troubleshoot failed deployments or builds and direct the team on fixes. Continuously track and improve the developer’s experience and ensure the best strategic fit for our overall pipeline.
• Cost Management:
  Monitor cloud usage and resources to optimize infrastructure costs without compromising performance or reliability.
• Key Performance Measurement:
  Establish KPIs such as deployment frequency, lead time for changes, change failure rate, and mean time to recovery (MTTR); plan continuous improvement initiatives based on the data. Create and maintain metrics and reporting dashboards, logs, and monitoring alerts to proactively identify and address issues related to system reliability, scalability, and security.
• Incident Avoidance:
  Enable blameless post mortems (PIRs) and focus on root causes and continuous improvements, translating lessons learned into concrete, prioritized engineering work to improve the overall operating environment and architecture.

• Proven experience as a Lead Dev Ops Engineer, ideally in a fast‑paced startup or growth company environment with experience creating Dev Ops from the ground up.
• Strong hands‑on experience with:
  • Git Hub (version control)
  • Git Hub Actions (CI orchestration)
  • Data Dog (Logging, alerting, and instrumentation)
  • Google Cloud Build (build orchestration and image management)
  • Docker (containerization)
  • Nx Cloud (Artifact caching and build orchestration)
  • Code Cov, Jest, Jacoco, Junit, Playwright (Code coverage and testing frameworks)
  • Google Cloud Platform
    • Cloud Tasks
    • Container Registry
    • Cloud Run Services
    • Cloud Sql / Cloud Spanner
• Strong understanding of Dev Ops architecture, design patterns, and best practices.
• Expertise in Dev Ops processes, experience creating and maintaining these processes, and experience with Kaizen, Six Sigma, ITIL or other quality systems and frameworks is a plus.
• Cross‑Functional Collaboration and Communication:
  Ability to break down silos and foster a culture of open communication and shared responsibility between development, operations, QA, and security teams.
• T…