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Senior Software Engineer – AI Compliance
Job summary
A technology company in France is seeking a Senior Software Engineer to design and lead the architecture for AI compliance systems. You will build scalable services using Python and C++ and manage Kubernetes clusters for deployment. The ideal candidate has over 5 years of engineering experience and a strong background in microservices. This role offers a collaborative remote working environment and opportunities for career growth.
Benefits
Qualifications
- 5+ years of software engineering experience required.
- Proven background in designing large-scale architectures.
- Significant experience with Kubernetes, Python, and C++.
Responsibilities
- Lead architecture design for distributed microservices.
- Write high-quality code in Python and C++.
- Partner with DevOps to manage Kubernetes clusters.
Skills
Education
Tools
Cephalgo is a Strasbourg-based technology company founded in 2020, focused on developing AI solutions that ensure safety, compliance, and trust in human-AI interactions. Originally rooted in healthcare innovation, Cephalgo’s platform helps organizations securely analyze and monitor voice and emotion data while meeting privacy, security, and regulatory standards.
Backed by over €3 million in funding, Cephalgo combines deep expertise in voice AI, data protection, and compliance frameworks to help enterprises build and deploy responsible AI systems. The company collaborates with leading European partners in AI ethics, healthcare, and regulatory technology.
We are seeking a Senior Software Engineer to design and lead the core system architecture for our AI Compliance offering. You will build scalable services, guide engineering decisions, and create secure, high-performance infrastructure for AI and voice compliance workflows.
System Architecture & Engineering
Lead architecture design for distributed microservices and real-time compliance/analysis systems.
Define engineering best practices and technical standards.
Ensure systems are built for reliability, resilience, and scalability.
Development
Write high-quality code in Python and C++.
Build and maintain containerised services running on Kubernetes.
Manage full lifecycle: design, implementation, testing, deployment, maintenance.
Infrastructure & DevOps
Partner with DevOps to manage Kubernetes clusters, CI/CD pipelines, and observability tools.
Contribute to infrastructure-as-code and automated deployment workflows.
Leadership & Mentorship
Mentor engineers and guide code reviews.
Lead technical discussions and propose architecture improvements.
Security & Performance Optimisation
Implement secure coding standards, encryption, and role-based access control.
Optimise performance specifically for voice and AI processing workloads.
Experience
5+ years of software engineering experience.
Proven background in designing large-scale architectures.
Significant experience with Kubernetes, Python, and C++.
Technical Skills
Expertise in microservices, distributed systems, and cloud infrastructure.
Familiar with containers, orchestration, CI/CD, monitoring/observability systems.
Strong understanding of secure coding practices.
Soft Skills
Excellent communication and leadership skills.
Able to work in a fast-paced, cross-functional environment.
Education
Degree in Computer Science or related field (or equivalent experience).
- Be at the intersection of cutting-edge AI/voice technology and compliance.
- Make an impact by shaping a growing brand in a high-growth market.
- Work with a collaborative, high-energy remote team driving forward-thinking solutions.
- Grow your career and influence across product, marketing and business domains.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.