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 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
Skills Required
- Bachelor's degree in Computer Science or related field.
- 5+ years experience building production-grade software with strong Python knowledge.
- Strong SQL skills, including complex queries, joins, and aggregations.
- Hands-on experience operating and deploying solutions in cloud environments (AWS, Azure, or GCP).
- Practical knowledge of container technologies and architectures, including Docker and Kubernetes.
- Basic understanding of AI solution components and technologies (LLMs, vector databases, APIs/protocols, supporting infrastructure).
- Ability to overlap with Pacific Time business hours for a minimum of 3 hours per day.
- Experience in systems design, particularly in cloud-native or distributed environments.
What We Do
At Lynx Analytics, we unravel a world of connections that hold the most paramount business intelligence; through the combinations of graph analytics, A.I. and machine learning. We live in a massively connected world - with new lines of connections rapidly forming every millisecond. And with this, newer and more relevant data that can either make or break businesses. Founded in 2010, Lynx Analytics is the brainchild of a group of INSEAD students and professors. Today we are home to an extremely talented team of data experts from top academic institutions like INSEAD, NUS and NTU. Our award-winning technology and Customer Happiness Index solution are deployed by leading communication service providers, and an increasing number of other data-rich enterprises - with the primary aim to regain control over customer satisfaction and drive critical business impact. In 2016 Hong Kong Telecom became our strategic investor and client.
