Senior Software Engineer (US)

COMPANY OVERVIEW

Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose? To apply graph theory to simplify and solve complex, real-world business problems.

Our mission has evolved over the years, and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then, graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.

Lynx has offices in Singapore, US, Hong Kong, Hungary, and operations in several other countries such as Canada, Germany, Indonesia. We work with some of the world’s largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics’ technology is deployed with various Clients internationally and has significant growth potential.

We have a diverse and inclusive global team comprising Professors, PhDs, MSc’s, and MBAs from Ivy Leagues, INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google, Databricks, ZS, Abbvie, Amgen, Vodafone, Morgan Stanley, Palantir, Katana Graph to name but a few). It is the combination of our industry insight and experience, scalable proprietary technology, and highly qualified people that drives our compelling value proposition.

We are looking for ambitious, innovative, empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.

About the Role:

We are looking for a Senior 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 lead 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: 

• Strong 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.

Why You Will Love It Here: 

• 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