Devops Engineer | Mid-Senior | Threat Protection

at Nord Security
📍 Vilnius, Lithuania
📍 Kaunas, Lithuania
EUR 43,200-88,800 per year
MIDDLE SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 3 Software Development @ 3 Ansible @ 3 Docker @ 3 Kubernetes @ 3 DevOps @ 3 Terraform @ 3 Python @ 3 Spark @ 2 CI/CD @ 3 Algorithms @ 6 Data Structures @ 6 Machine Learning @ 3 TensorFlow @ 3 AWS @ 3 Data Engineering @ 3 Git @ 3 MLFlow @ 3 Hadoop @ 2 PyTorch @ 3

Details

The world’s most advanced VPN, and a whole lot more.

If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands.

Your impact? Helping millions take back control of their online security, privacy, and data.

Responsibilities

  • Collaborate with the Threat Intelligence team to develop machine learning models.
  • Design and manage infrastructure for data ingestion, cleaning, and transformation in a multi-tenant, distributed environment.
  • Assist with service migration within cloud environments (AWS S3, EC2, EMR, Kubernetes).
  • Expand code delivery pipeline automation using Python, Docker, GitLab CI.
  • Ensure scalability, reliability, and performance of deployed models and infrastructure.
  • Apply best practices for security, availability, and observability.
  • Document model development processes, experiments, and results for reproducibility.

Requirements

  • Proven experience in Data Engineering, Software Development, Systems Administration/DevOps, Machine Learning, or related fields.
  • Experience with cloud technologies, particularly AWS services (RDS, Lambda, EC2, S3, EMR, SageMaker).
  • Experience with Git, CI/CD pipelines, Infrastructure as Code (Ansible, Terraform).
  • Knowledge of containerization and orchestration using Docker and Kubernetes.
  • Experience with machine learning frameworks (TensorFlow, PyTorch, HuggingFace, MLflow).
  • Familiarity with big data technologies (Hadoop, Spark).
  • Proficiency in Python programming, knowledge of Shell scripting languages.
  • Strong understanding of Computer Science fundamentals (algorithms, data structures, distributed computing).
  • Understanding of Machine Learning fundamentals.
  • Ownership mindset with critical thinking and attention to detail.
  • Ability to communicate problems and solutions with people from different technical backgrounds.

Benefits

Salary Range: Gross Salary 3600-7400 EUR/Month.