Job description 

Responsibilities:

• Express your passion about infrastructure as code and continuous deployment to build scalable and highly reliable systems.
• Define and own KPIs around system availability, quality and scale.
• Partner with our developers and quality engineering teams to automate the monitoring, alerting, availability and scalability of our applications and systems.
• Ensure system availability and business continuity by implementing redundant servers/services.
• Manage after-hours infrastructure updates and maintenance.
• Proactively research and propose the use of new concepts, processes, technologies, and tools.
• Partner with software developers to create Mist standards for Microservices (APIs, schemas, serialization, data stores and best practices)
• Run secure and scalable applications for highly available, multi-region, AWS and GCP deployments
• Ship code several times per week
• Be a part of our On-Call rotation.
• Own disaster recovery and business continuity plans.

Experience required for you to be successful:

• An extensive background in developing and operating large-scale cloud-based distributed applications
• Direct experience developing/running applications on AWS and Google Cloud.
• Laser focus and be able to design infrastructure solutions for scalability, reliability, high availability, performance, security, software maintainability, and operational excellence
• The ability to "fix the plane while in flight" (not just support greenfield solutions)
• The ability to prioritize existing technical and infrastructure debt, and experience to build and execute a plan to pay it off

Required skills:

• Delivering web-scale infrastructure for a global market at high release velocity
• Must have solid experience with at least 2 of the languages: Go, Java, NodeJS, Python
• Experience with Kafka, Mesos, Spark, Storm, Cassandra, ElasticSearch, PostgreSQL, Redis, Zookeeper, Nginx.
• 8+ years industry experience in managing infrastructure.
• 6 years Linux administration in a large-scale SaaS environment.
• 5 years maintaining production systems on AWS and GCP
• 3 years in implementing, managing, and monitoring metrics specific to SaaS applications
• Minimum of 1 years experience on GCP in a live production environment.
• 3 years containerization in large-scale SaaS environment (eg. Docker, Kubernetes)
• Experienced in implementing Kubernetes in a large scale production environment
• 5 years running and optimizing RDBs and NoSQL databases.
• 5 years using configuration management (eg. SaltStack, Puppet, Chef).
• 3 years using infrastructure as code software (eg. Terraform, AWS and Google Cloud Deployment, CloudFormation).
• 5 years’ experience in continuous integration practices & tools (Jenkins, Travis CI, CircleCI,  etc…)
• Experience working in a hybrid-cloud environment.
• Expert command of config management principles and an ability to code your desired state
• A deep understanding of distributed system design and dependency management

Desired skills

• Experience of working with or contributing directly to Open Source projects
• Understanding and experience of leading/managing technology products
• Understand machine learning techniques and tools. Translate business requirements into data models and implement them for scale and production ready systems
• Experience of working with failure-based testing
• Experience working in a test-driven development environment

Personal skills

• Previous experience of contributing to war rooms and blameless postmortems
• Superb communication skills, written and verbal
• Experience of working in a true DevOps environment with daily collaborations
• Thrives in a fast-paced startup environment where there may be multiple competing priorities
• Customer-service mindset.
• Passion for improvement.