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Develop solutions and tools to make the lives of Braintree Product engineers better and easier. You will develop solutions from ideation and design, through development, launch, operation and iteration.
Partner with our customers (product engineering teams) on their products design, development and capacity planning to ensure Braintree continues to scale and maximize availability.
Brainstorm and implement ways of reducing tech debt, automate repeated manual tasks and improve team productivity.
Ideate new ways of doing things, publish RFCs, get buy-in from other engineering leads and implement changes.
Be an active member of the open source community by reporting new defects and issues, contributing to open source projects and providing help to the community at large.
Ensure sufficient logging, monitoring and alerting strategies around availability, latency and overall system health.
Scale systems sustainably through automation, and evolve systems by pushing for changes that improve reliability and velocity.
Be part of incident reviews and blameless post mortems.
Mentor other members of the organization through their career journey at Braintree.
Software Development background with ability to analyze and improve existing codebase.
Experience with building solutions on the Cloud (Ideally AWS)
Established ability to diagnose technical problems, debug code, and automate routine tasks.
Ability to support a 24/7/365 always available production grade service.
Experience in one or more of the following: Python, Java, Ruby, Golang, or shell scripting.
Experience with Unix/Linux operating systems internals and administration.
Patience and fortitude to debug complex issues in production system, which a akin to finding a needle in haystack sometimes
Great analytical and problem solving skills.
Familiarity with orchestration tools (Ansible, Puppet, Chef, Terraform, etc.).
Established experience with monitoring/logging tools and best practices.
Experience in software release lifecycle with modern distributed version control (e.g. git).
Proficiency in managing cloud based large-scale infrastructure.
Expertise in designing and troubleshooting large scale distributed systems.
Strong communicator, both written and spoken.
SSL/TLS and PKI concepts and management
AWS security products, Amazon Secrets Manager and Amazon Certificate Manager
Proxy technologies, i.e. Nginx, HAProxy, and Squid
Orchestration technologies, i.e., Ansible, Terraform, CloudFormation, and puppet
Package and artifact management, i.e. Artifactory
Services such as DNS, LDAP, and SMTP