Senior Software Engineer, Close

• We’re looking for high achieving, full-time Software Engineers to join our engineering team. Someone who has a good understanding in web technologies and wants to help design, implement, launch, and scale major systems and user-facing features
• You're comfortable working in a fast-paced environment with a small and talented team where you're supported in your efforts to grow professionally. You're able to manage your time well, communicate effectively, and collaborate in a fully distributed team
• Senior 1 & 2 level candidates should have 5+ years of experience building modern back-end systems
• Staff level candidates should have 8+ years of experience
• Mid-level candidates should have ~3 years of similar experience and be eager to level up with the right opportunity
• Professional Python experience is preferred but a working knowledge of Python with additional experience in other languages is acceptable if you have a desire to work with Python
• You have built web APIs that were Internet facing or supported other high volume loads
• You have hands-on production experience working with MongoDB, PostgreSQL, Elasticsearch, or similar data stores
• You have experience designing, scaling, debugging, and optimizing systems to make them fast and reliable
• You have participated in code reviews and provided overall code quality suggestions to help maintain the structure and quality of the codebase
• You care about the craftsmanship of the code and systems you produce
• Located in the USA (lower 48 timezones)

Desirable

• You will be joining one of our six cross-functional teams. These are the CRM, Admin & Onboarding, Conversations, Messaging & Scheduling, Automations & Integrations and Data Insights teams. You will be regularly collaborating with other backend & frontend engineers, product managers, designers, and other teams here at Close
• Conceiving, designing, building, and launching new user-facing features
• Implementing new AI features to turbocharge our customers’ daily tasks
• Improving the performance and scalability of our GraphQL and REST API
• Improving how we sync millions of sales emails and calendar events each month
• Working with Twilio's API, WebSockets, and WebRTC to improve our calling features
• Building user-facing analytics features that provide actionable insights based on sales activity data
• Improving our Elasticsearch-backed powerful search features
• Improving our internal messaging infrastructure using streaming technologies like Kafka and Redis Building new and enhancing existing integrations with other SaaS platforms like Google’s G Suite, Zapier, and web conferencing providersEnhancing our web app with real-time updates powered by GraphQL Subscriptions
• Our backend tech stack consists primarily of Python Flask web apps with our TaskTiger scheduler handling many of the backend asynchronous task processing chores
• Our data stores include MongoDB, PostgreSQL, Elasticsearch, and Redis
• The underlying infrastructure runs on AWS using a combination of managed services like EKS, MSK, RDS and ElasticCache and non-managed services running on EC2 instances
• We have CI/CD pipelines that build Docker images, run automated tests and deploy to Kubernetes clusters
• We also use these images in our local development environment allowing coding locally against all of our services
• We have a well-documented public API that is consumed by our front-end JavaScript app as well as numerous integrations
• Our infrastructure is heavily automated using Terraform, Ansible and other AWS tools