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Role description

Senior DevOps Engineer (SRE)

MightyBot logoMightyBot
TypeFull-time
WorkplaceRemote
SenioritySenior
LocationUnited States
Posted3/13/2026
Engineering

Join our team as a Senior DevOps Engineer, where we're focused on graduating AI from interesting demos to indispensable products. You will build and own the robust, scalable infrastructure that makes this possible, ensuring our platform is reliable enough to be trusted with critical business decisions.

Key Responsibilities

  • Build and Own Our Infrastructure: Design, build, and maintain our core cloud infrastructure using Infrastructure as Code (IaC) principles to ensure it is scalable, secure, and resilient.
  • Champion Site Reliability: Drive SRE best practices across the engineering team. Define SLOs/SLIs, establish error budgets, and promote a culture of reliability.
  • Automate Everything: Develop and manage our CI/CD pipelines to automate the building, testing, and deployment of our applications, enabling rapid and safe releases.
  • Implement Observability: Build and manage a comprehensive monitoring, logging, and alerting stack to provide deep insights into system health.

Qualifications

  • 5+ years of experience in a DevOps, SRE, or Infrastructure Engineering role.
  • Deep expertise with Kubernetes (K8s) and Docker.
  • Strong proficiency with Terraform or Ansible.
  • Hands-on experience building and managing CI/CD pipelines.
  • A strong sense of ownership and urgency.

Our Team

We are a rapidly growing startup with a high-performance engineering culture that emphasizes personal accountability, autonomy, learning, and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!

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Company info

MightyBot logo

MightyBot

MightyBot is redefining enterprise productivity with AI-enabled teamwork. Our mission: supercharge productivity via personalized AI agents that bring teams closer together. These agents, integrated seamlessly into employee workflows, transform data into actionable insights through a continuous agent learning framework, ensuring tasks are efficiently executed. With an emphasis on data security, data training rights, and user access permissions, our technology leverages advanced LLM tools and offers an embedded experience across platforms, from browsers to mobile apps. As these agents improve with feedback, they turn company data into strategic business assets. MightyBot delivers the future of AI-enhanced collaboration and employee productivity.

HQPalo Alto, US
Size14 employees
IndustrySoftware Development
Unlock human wisdom
ThesisTermsPrivacy
Tech stack
langgraph, prometheus, transformers, golang, amazon-web-services, kubernetes, fastapi, faiss, google-cloud-platform, grpc

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