SAAS ARCHITECT

About the Company At Altilia, our mission is to put AI in the hands of end-users to augment humans and help people process complex documents and data quickly, securely, and accurately to efficiently automate operational and decision-making processes by sophisticated and ethical AI tools to benefit workers, enterprises, environment, and ultimately the society.
About the Role To expand our teams, we are looking for an experienced professional to take on the role of SaaS Architect for our platform built on a microservices architecture within a Kubernetes environment.
The ideal candidate holds a Master’s degree in Computer Engineering or Computer Science along with strong verbal and written communication (Italian and English); the position will involve daily activities with international teams.
The selected candidate will have a versatile skill set in distributed systems architecture, database management, cloud cost optimisation, and multi-tenancy design.
She/he will be responsible for ensuring scalability, efficiency, modularity, and multi-tenant support, all while keeping a sharp focus on operational costs and performance.
Responsibilities Evaluate the current architecture and propose improvements to modularize microservices.
Ensure each microservice is self-contained and optimized for independent scalability.
Design and implement a multitenant architecture for the SaaS platform with a focus on.
Data Isolation.
Ensure robust separation of data between tenants.
Shared Resources.
Manage shared infrastructure effectively while handling dynamic workloads.
Guarantee the scalability of the multitenant infrastructure with dynamic resource management and autoscaling policies.
Allocate Kubernetes resources (CPU, memory, storage) based on the expected workload for each tenant.
Optimize databases (NoSQL, MySQL, ElasticSearch, Vector DB) to deliver high performance at controlled costs in a multitenant environment.
Implement autoscaling policies for both microservices and databases tailored to the specific needs of each tenant.
Enhance database integration and performance to support seamless operations.
Ensure efficient, bottleneck-free data pipelines, even in multi-tenant scenarios.
Analyze and optimize REST APIs to support a scalable, fast, and secure multitenant architecture.
Monitor API traffic to identify bottlenecks and optimize resource usage.
Develop a cost model per user/process/tenant based on the current infrastructure.
Monitor cloud costs (Kubernetes, databases, networking) and provide detailed operational cost estimates per tenant.
Suggest and implement optimization strategies for operational expenses.
Deploy advanced monitoring systems for resources, microservices, and databases using tools like Prometheus, Grafana, or Datadog.
Provide tenant-specific visibility into resource usage and performance metrics.
Qualifications Degree in Computer Science, Computer Engineering or equivalent experience.
3 years of experience in software architecture roles, preferably in microservices and distributed systems contexts, and data engineering focused on distributed environments   Required Skills Proven experience in designing microservices-based SaaS platforms with multitenancy support.
Strong knowledge of Kubernetes, Docker, and cloud-native architectures.
Experience with relational databases (MySQL), NoSQL (MongoDB), ElasticSearch, Redis, and Vector DB.
Expertise in data partitioning techniques and optimization for multitenant environments.
Design of systems for tenant-specific data and resource isolation.
Implementation of tenant-specific management and configuration strategies.
Ensuring data security to guarantee each tenant has access only to their own data.
Design and optimization of scalable, multitenant REST APIs.
Implementation of tenant-specific rate limiting systems.
Ability to implement monitoring systems for continuous tracking of resources and traffic per tenant.
Proficiency with tools such as Prometheus, Grafana, ELK Stack, and Datadog.
Strong analytical skills and attention to detail.
Strategic vision to ensure product scalability and sustainability.
Effective communication to translate technical requirements into clear operational plans.
The following will be considered a plus.
Experience with AI/ML technologies.
Ability to thrive in startup environments with a problem-solving mindset.
Experience in developing pricing models for multi-tenant SaaS platforms.
Equal Opportunity Statement Altilia is an Equal Opportunity Employer.
Altilia does not discriminate against any applicant for employment because of age, gender, sexual orientation, race, religion, national origin, ethnicity, veteran status, or disability.
Candidates can consult our privacy policy (art.
EU Reg.
) on https://altilia.
i/privacy-policy-eng/