Overview
As our Senior Software Engineer based in Austin, TX, you will use your experience in back-end and front-end technologies to help us evolve our application software platform. You will work in an agile development environment, enhancing and extending our in-house software-as-a-service (SaaS) platform responsible for processing and managing hundreds of thousands of dollars in revenue each and every day. You will be working closely with senior engineering leaders to design robust, scalable software that meets both the immediate and future needs of our constantly evolving business environment.
General Responsibilities:
Designing and implementing highly reliable components for our business-critical applications
Working closely with engineering leadership and key stakeholders to build new features to address business-critical needs
Working closely with our Operations team to ensure the proper implementation and configuration of software and hardware resources
Working closely with our QA team to ensure on-time release and product quality
Participation in the full software development lifecycle process – “You build it, you run it.”
Requirements:
5+ years of experience in a back-end C# /.NET software development role with increasing responsibilities
Experience building, tuning and supporting large scale, high-availability SaaS platforms
Enjoy working within a small, fast-paced, Agile team in a TDD and CI/CD environment
Experience consuming/creating JSON-based, RESTful APIs
Exposure to Polyglot persistence: SQL/NoSQL (MySQL, PostgreSQL, MongoDB, Redis, etc.)
Knowledge of Domain Driven Design and SOLID principles
Experience with message-based architectures (Akka, RabbitMQ, ActiveMQ, JMS)
Bachelor’s degree in Computer Science, Engineering or related field
* Must be eligible to work in the United States. Visa sponsorship for employment will not be provided
Preferred:
Exposure to Contact Center or Cloud Telephony technology
Experience with Modern JavaScript/Typescript, HTML, and CSS
Previous work with Python, Flask, and Python-based data science tooling
Exposure to AWS, Docker, Kubernetes
