Job
Description
In this role, you will contribute to a critical and highly-visible function within the Esper business. You will have the opportunity to autonomously deliver the technical direction of the service and the feature roadmap. Working with extraordinary talent, you will deliver end-to-end features, improve platform quality, and act as a technical leader. If you are excited about making a significant impact on Esper and the device industry, you will find this role engaging, challenging, and full of opportunities to learn and grow. You will be responsible for end-to-end implementation and maintenance of features, fixes, and enhancements to the platform. Your contributions will directly and immediately enhance the experience of our customers. This role offers the chance to work with cutting-edge technologies and solve scalability issues associated with managing millions of devices. Each project you undertake will expand the scope of your impact on the platform. Your responsibilities will include improving the Esper Platform by planning, recommending, and executing strategic projects. Using metrics and data, you will provide insights on customer usage, bottlenecks, future requirements, security, and scalability of the platform. You will establish standards, guidelines, sample projects, and demos to influence engineering teams to write stable, secure, maintainable, and quality code. Collaboration with distributed teams will be essential to drive changes, write root cause analyses (RCAs), and coordinate resolutions for production incidents. Additionally, you will objectively assess new technologies, tools, frameworks, and design patterns for adoption into the Esper Platform. You will become the Subject Matter Expert (SME) for the Platform SRE team and be responsible for various SRE tasks including performance testing, API test automation, maintaining Kubernetes clusters, automations, and release-related tasks. The ideal candidate for this role should have at least 5 years of experience. Hands-on experience in building and managing cloud systems on one or more providers such as AWS, GCP, or Azure is required. Knowledge of Computer Science fundamentals like Data Structures, Algorithms, Operating Systems, and Networks is essential. Experience in designing, developing, and deploying at least one customer-facing project is expected. Proficiency in scripting or any modern programming languages is necessary, along with experience in developing and deploying on UNIX/Linux-based systems. Hands-on experience in performance optimization using multiple metrics, as well as familiarity with microservices and container technologies like Docker, Kubernetes, and OpenShift, is important. Understanding best security practices for implementing Infrastructure as Code (IAC), automation, and CI/CD workflows is a plus. Familiarity with tools such as Jenkins and Buildkite, as well as knowledge of performance testing and automation testing, will be advantageous.,