Job Opening

Platform Engineer

We offer excellent opportunities for professional and personal growth. Incelligent is a successful company through investing in the right people, like you!

Platform Engineer

Full Time

On Site

About the job

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/ Alerting, 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:

What You Will Be Doing

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 & 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 participate in teamwork activities, pair-programming, scrum ceremonials, mentoring
Initiative, strong sense of accountability and ownership of actions
Effective time management & understanding of prioritization
Agility, enthusiasm, and self-motivation
Excellent verbal and written communicational skills, both English and Greek

BENEFITS

Highly competitive salary, reviewed upwards on a regular basis, based on code quality, task completion efficiency, defect-generation and resolution time, personal growth rate