MongoDB
Senior Site Reliability Engineer, Fleet Management
Rol remoto de Site Reliability Engineering con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles3 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
CanadáMéxicoEstados Unidos
Resumen del rol
Senior Site Reliability Engineer, Fleet Management
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Responsibilities
- Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
- Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
- Participate in a 24/7 on-call rotation to resolve critical issues
- Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice
Details
- Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice
You may be a good fit if you
- Have 6+ years of experience in software development and operating distributed systems
- Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
- Have deep experience using and extending containerization technologies, preferably Kubernetes
- Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
- Possess a customer focused mindset, treating internal developers as your primary users
- Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
- Prefer automation over manual processes ("allergic to ops work")
- We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil
Strong candidates may also have experience with
- Designing and implementing secure, multi-tenant runtime environments from first principles
- Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
- Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
- Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
- Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups
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