Lynx Analytics
SoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer at Lynx Analytics. Skills: Python development, Cloud platforms, AI solutions. Design software platforms. Build software platforms”
What You'll Achieve.
Measurable business impact
Industry & Context.
Overlap Pacific Time, 3 hours daily
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, 5+ years Python experience, SQL skills, Hands-on cloud experience, Practical Docker knowledge, Practical Kubernetes knowledge
Nice to Have
Systems design experience, Cloud-native environments experience, Distributed environments experience
What You'll Do.
Design software platforms
Build software platforms
Operate software platforms
Develop software solutions
Maintain software solutions
Contribute to system architecture
Manage containerized applications
Support AI development
Support analytics deployment
Collaborate with teams
Participate in technical discussions
Participate in architectural reviews
Participate in code reviews
Adhere to data protection policies
Ensure security standards
How You'll Work.
Team & Collaboration
Multidisciplinary teams; Cross-functional teams; Client-facing teams; Global team; Data scientists
Full Job Description
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: 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). 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 and code reviews, and continuous improvement initiatives. Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards. Requirements: Bachelor’s degree in Computer Science or related fields. Strong Python knowledge with 5+ years of experience building production-grade software. Strong SQL skills, including writing complex queries, joins, and aggregations. 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 is a plus. Ability to overlap with Pacific Time business hours for a minimum of 3 hours per day. Why You Will Love It Here: Work on
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