Additionalinformation

Additional Information

Companydescription

Company Description

We at Sigma Software 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.

CUSTOMER

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.

PROJECT

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.

Jobdescription

Job Description

• Define and maintain SLOs, SLIs, and error budgets for critical platform services
• Build and optimize CI/CD pipelines for reliable software delivery
• Design and manage scalable cloud infrastructure using Infrastructure-as-Code practices
• Implement monitoring, logging, tracing, and alerting solutions across the platform
• Collaborate with engineering teams to embed reliability practices into the development lifecycle
• Lead incident response activities and post-mortem analysis
• Automate operational processes to reduce manual effort and improve efficiency
• Support security and compliance initiatives for enterprise deployments
• Ensure platform scalability, reliability, and high availability
• Contribute to infrastructure architecture and operational strategy

Qualifications

• 4+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering
• Strong hands-on experience with Kubernetes, Docker, and container orchestration
• Solid experience with cloud platforms, preferably AWS
• Practical experience with Terraform, Pulumi, or other Infrastructure-as-Code tools
• Experience with observability and monitoring tools such as Datadog, Grafana, or Prometheus
• Understanding of incident management and production operations
• Knowledge of security best practices and enterprise compliance standards
• Experience with Python or Go for scripting and automation
• Strong communication and collaboration skills
• Upper-Intermediate English level