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DevOps-Cloud Sysadmin Engineer

We are looking for an individual for management and maintenance of enterprise infrastructure.


  • Production support of virtual-cloud infrastructure to include AWS, Azure, etc. enabling an efficient CI/CD pipeline.
  • Responsible for the sustainment, improvement, and upkeep of the overall compliance posture of the end user computer environment integrating SecDevOps into CI/CD pipelines for rapid application delivery.
  • May function in an advisory role providing direction to professional or technical staff and may participate with management in short and long term planning.
  • Determines comprehensive solution(s) for unusually complex system problems.
  • Monitor and troubleshoot health of servers/applications/endpoints and mobile platforms
  • Performs other duties as assigned or required.


  • Linux System Administration,
  • Experience Cloud platform products such as AWS (EC2, S3, VPC, EKS); Azure (Virtual Instances, VMSS, Storage Groups, Azure DevOps, ALM and TFS)
  • Should possess a strong knowledge in Orchestration, Containerization, Pipelines, CI/CD and cloud technologies.
  • Have strong experience in a DevOps tools in multi cloud environment (Git, Jenkins, AWS, Azure, Docker, Kubernetes, Maven )
  • Skills with application server and DB server management. Integration of automated Test cases with CI/CD pipeline Expertise with monitoring, logging, security, data integrity, concurrency, and other issues and practices related to distributed systems
  • Able to carry out approaches such as risk-management, clustering, load balancing, and failover.
  • Monitor, diagnose, and correct operations issues that affect customers or internal users. Improve existing processes and design new processes as needed. Assist with automated testing of code, code deployments, and operations.
  • Coding: Python, Bash, Node.js (basic)
  • Apps: Nginx, Redis, MongoDB, Jenkins (CI-CD pipeline)
  • Comfortable working in a distributed Agile-like team environment
  • Working proficiency and communication skills in verbal and written English.
  • Passionate about technology.

Data Scientist

We are looking for a Data Scientist to join our team of IT experts. We are excited about innovation, constant challenges and working with the best talent in the market. Agile, disruptive people, with a DNA “thinking outside the box”.
Your mission: Collaborate with data science initiatives by participating in the construction of analytical and artificial intelligence solutions for our clients. You need to be training in Data & Analytics.
If you feel identified, we would love to meet you!

Main Challenges:

  • Participate in the data collection and modeling pipeline necessary for the data science process.
  • Develop and seek ways to exploit data with the best market practices.
  •  Exploratory analysis identifying insights.
  • Generation of machine learning models.
  •  Participation in the presentation of results to clients and business sponsors.
  •  Results analytics and performance.


  • Computer scientist, statistician, mathematician, physicist.
  • +5 years of experience in Data Science.
  • +3 years of experience in layouts.
  • +2 years of experience having led data science projects.

Technical Skills:

  • Knowledge of probability and statistics, algebra and discrete mathematics.
  • Experience in developing deep learning and machine learning models.
    Query languages: SQL and HiveQL. No-SQL experience desirable.
  • Advanced knowledge of containers, pipelines and Python. Desirable, furthermore, in R.
  • More than 2 years’ experience in scientific and data management libraries (eg scikit-learn, numpy, pandas, tensorflow, keras, xgboost, lgbm, statsmodels, scipy) and data visualization packages (matplotlib, seaborn, plotly).
  • Cloud platforms (AWS and Azure).
  • Life cycle of machine learning (MLOps) and data science in general.
    BI & exploitation tools. Desirable Tableau / PowerBI.
  • Experience in Datalakes / Datawarehouses / Datamarts
    Desirable experience with Streaming technologies (Kinesis / Kafka).


  • Challenging career plan within a constantly growing boutique company.
  • Dynamic environment where you can learn, exchange, propose and promote ideas.
  • Flexible work environment and home office.