Platform Engineer
INCELLIGENT, Greece

Incelligent provides software solutions to help large corporations achieve digital transformation through the usage of Big Data and AI-powered Analytics. Our solution platform enables industrial deployment of AI models as part of integrated predictive analytics solutions for various customers in both enterprise (Telecommunication operators, Banking/Financial Institutions and other) and public sectors (Tax, Customs, Revenue authorities etc.). We develop a large number of in-house SDKs / frameworks that are re-used and adapted in the majority of our projects resulting into robust and efficient solutions. Incelligent offers a working environment full of evolution in technologies, diversity in specialization and room for personal and professional growth.

Our vision

Incelligent's vision is real-world applicability of AI-models. We believe that advanced predictive analytics solutions can be a part of the digital transformation of various multi-domain clients. From our experience, we know that real use cases of predictive modelling present with numerous challenges, therefore the products supported by our pipeline aim at providing:

a) maximum value - important data for important decisions
b) stability - availability - reliability
c) tailored customizability of capabilities
d) performant and intuitive result visualization.

The role

We are looking for enthusiastic Platform Engineers (SRE -DevOps) to help us support the Incelligent vision with this ever-growing infrastructure. The Incelligent platform engineer supports, maintains, and enables the Incelligent platform - the engine that is enabling innovation in Big-Data and ML-Ops. It is an evolving ecosystem developed for over 10 years of applied predictive analytics and big-data expertise. Incelligent platform consists of multiple state-of-the-art infrastructure technologies that collaborate to provide analytics, processing, and predictive capabilities to end users. These technologies can be split into different categories as follows: Data Lake/DWH, Ml-Ops, Microservices and Backend, Front-End Applications, SRE / Monitoring / Alertin, DevOps setup and Production environment support: In this environment a platform engineer will be able to grow their skills, learn new technologies and provide assistance with:

• Installation, configuration, troubleshooting and maintenance for multiple components part of the Incelligent platform (inhouse or deployment)
• Design and develop CI-CD Pipelines for the automation of the company development and engineering processes
• Experiment with big data technologies, benchmark and assist with system architecture
• Develop monitoring schemes for complex deployment environments to reduce human interaction and effort
• Provide support towards all members of the Incelligent team: Data Scientists, Data Engineers, Developers and Analysts regarding code practices, OS environment usage, IDE tools

• Introduce new tools to the technology stack (open source amp; cloud) that will affect the way of working and system architecture of our solutions

Requirements

Minimum requirements:

• 3 Years of professional Linux environment usage (example distributions: ubuntu / CentOs / debian etc.)

• Proven knowledge of containerization technologies (Docker, Kubernetes)

• Experience with CI/CD pipelines and automated code quality and testing tools (incl. Sonarqube, Defectdojo, Jenkins, Gitlab CI)

• Experience with at least 2 standard RDBMS (e.g. MySQL, PostgreSQL, Oracle, SQLServer) including installation, administration, backup / migration, monitoring.

• Strong understanding of deployment principles for network application software (file system, process monitoring, environments, TCP/IP stack, logging policies, DNS)
  

Will be considered a plus:

• Strong backend development experience in either a) Java (maven/ Spring or other J2EE) or b) Python (pip, FastAPI or Django)

• Familiarity with Cloudera-based Data Lake components and the hadoop ecosystem (focus on installation / configuration)

• Experience with Kubernetes/ Openshift deployments (kubectl + helm)

• Experience with IaaS Hypervisor technologies (e.g. OpenStack, VSphere, HyperV, Xen)

• Experience with load-balancers, application servers, caching servers, reverse-proxy, smtp integration, microservice gateways, monitoring infrastructure (e.g. nagios)

• Experience with cloud-native applications (Azure, AWS, GCP)
  

Candidate Character Traits

• Active accountability of task progress and deliverables via Jira, GitLab and other means depending on the project process
• Willingness to p

Job Rewards and Benefits