As a Senior Software Engineer, you'll join the Jirachi team, focusing on the core estimating product and collaborate with product managers and designers to develop end-to-end solutions. You will lead design discussions, write clean code, participate in code reviews, and mentor junior team members, contributing to a culture of technical excellence in a startup environment.
Job listings
As a Senior Software Engineer on the AI team, bring your expertise in data engineering and ML Ops to help the team move faster and achieve critical revenue goals for Keebo. You will work closely with the AI engineers to understand their data and training needs, design and implement an improved ML platform that balances cost and speed of development, and have an opportunity to do AI/ML engineering yourself.
This role primarily involves developing features and maintaining our βConsumerβ mobile applications, offering the simplest way for customers to interact with Kraken; you'll design, develop, and maintain high-quality applications using React, influencing technical decisions and mentoring engineers.
As VP of Engineering, you will lead the entire engineering organization across a complex product area. Youβll modernize the software architecture to increase iteration speed and champion a culture of accountability and agility. You will also be responsible for evolving the org to meet the demands of scale and speed. Youβll lead and develop a team of Directors and Senior Directors.
Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes. Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Implement software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs; contribute to the design and implementation of new products and features while also enhancing the existing product suite. Be a mentor for colleagues and help promote knowledge-sharing.
As an intern ML developer, you will focus on shipping large-scale software systems in a fast-paced environment while balancing maintainability, scalability and quality, working on tech selection to production code on our latest projects. You will develop & integrate ML software end to end, troubleshoot, debug problems, build and set up new development tools and infrastructure, and automate and improve development and release processes.
We are looking for a Senior Backend Engineer familiar with GoLang to join our Grafana Backend Services squad. The squadβs mission is to deliver the best Grafana service to both On-Prem and Cloud customers, from ownership of the API codebase all the way to operation of its components. Your day-to-day will include delivering new functionality, contributing to design documents, embracing our open-source culture, and influencing our roadmap.
Looking for a senior UI & SDK Web engineer to join our Web Observability team, responsible for both our dashboard UI (React + TypeScript) and our Web RUM SDK built on OpenTelemetry. This is a hybrid role that bridges product development and observability infrastructure. Youβll work on internal tools, developer-facing dashboards, and high-performance instrumentation librariesβall aimed at helping the worldβs best engineering teams understand and improve web performance.
This role focuses on enhancing the Chronosphere Logging product that delivers real-time, structured insights into system and application behavior and performance. As an experienced engineer, you will design, implement, and ship enhancements and new features to core product capabilities using Go, deployed on Kubernetes across cloud platforms such as AWS and GCP. You will contribute to the architectural and technical roadmap, ensuring reliability and scalability.
As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code that's scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work.