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
Other open roles at Lynx Analytics(6)
From launch strategy to HCP engagement and clinical trial optimization — we help pharma teams make faster, better decisions with data and AI.
Key team members
Francois de Repentigny
Amit Akhelikar
Gábor Kriváchy
Miklos Sarvary
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