Software EngineerLynx Analytics • San Francisco, California, United States
Software Engineer
Lynx Analytics • San Francisco, California, United States
Hace 15 días
Tipo de contrato
- A tiempo completo
Descripción del trabajoStrong Python knowledge with experience building production-grade software. Experience designing software architectures for scalable applications. Hands-on experience operating and deploying solutions in cloud environments (any major cloud provider). Practical knowledge of container technologies and architectures, including Docker and Kubernetes. Basic understanding of AI solution components and technologies, such as LLMs, vector databases, APIs / protocols, and supporting infrastructure. Experience in systems design, particularly in cloud-native or distributed environments. Experience creating project implementation plans, timelines, and effort estimations. Experience leading or mentoring engineering teams and driving projects to completion. Work on real-world AI and advanced analytics solutions with measurable business impact. Collaborate with a global team of engineers and data scientists. Exposure to diverse industries, modern cloud platforms, and cutting-edge AI technologies. A collaborative culture that values real outcomes High ownership, zero micromanagement Rapid learning opportunities and diverse challenges Flexible work hours, remote-friendly setup Flat organisational hierarchy with high visibility and accessibility to our leaders
We are looking for a Software Engineer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions. You will contribute to system architecture, cloud deployments, and modern containerized environments, while collaborating with multidisciplinary teams across regions.
What This Involves :
- Design, develop, and maintain high-quality software solutions using Python.
- Contribute to the design and evolution of scalable and maintainable software architectures.
- Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP).
- Build and manage containerized applications using Docker and Kubernetes.
- Support the development and deployment of AI and analytics solutions, working closely with data scientists and data engineers.
- Collaborate with cross-functional and client-facing teams to deliver end-to-end solutions.
- Participate in technical discussions, architectural reviews, and continuous improvement initiatives.
Skills, Qualifications and Experience :
The following would be a bonus to have :
Why You Will Love It Here :
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Software Engineer • San Francisco, California, United States
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