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Sigma Software seeks a Site Reliability Engineer to join a cloud-native biotech-platform project focused on reliability, scalability, observability, and security. You will help build and scale a cloud-native platform used by enterprise biotech and pharmaceutical customers, embedding reliability into development and automating cloud operations.
You will collaborate with international teams to drive incident management, post-mortems, and best practices, influencing engineering decisions from an
We at the company are looking for a Site Reliability Engineer to join an ambitious AI-driven biotech project focused on improving pharmaceutical manufacturing efficiency and accessibility to life-saving medicines.
In this role, you will help build and scale a cloud-native platform used by enterprise biotech and pharmaceutical companies. You will contribute to reliability engineering practices, cloud automation, observability, security, and operational excellence in a fast-growing startup environment.
As a company, we offer the chance to work on impactful products, influence engineering decisions from an early stage, and collaborate with international teams solving complex technical challenges.
Our customer is an innovative biotech platform company operating at the intersection of artificial intelligence and life sciences. The company develops AI-powered solutions that help pharmaceutical and biotech organizations optimize manufacturing processes, reduce operational waste, and improve production efficiency. Their mission is to make life-saving drugs more accessible and affordable through modern AI technologies and scalable engineering solutions.
The project focuses on building and scaling a cloud-native AI platform designed for enterprise pharmaceutical and biotech Customers. The platform supports critical AI-driven workflows and requires high standards of reliability, scalability, observability, and security.
As a founding Site Reliability Engineer, you will play a key role in establishing infrastructure best practices, implementing automation, improving system resilience, and supporting enterprise-grade deployments. The environment combines startup agility with enterprise-scale engineering challenges.