Truefy Technologies

Careers

Take a look at how great it is working with us

Truefy Technologies is continually looking for talented, hard-working professionals in a variety of fields based on our current contracts and needs of our customers.

If you would like to apply, please fill out the form below and attach your resume and any other relevant documents or drop us on hr@trueintech.com.

Current positions

System Engieer

  • Experience in implementing and maintaining production enterprise systems.
  • Experience in utilizing operating system utilities, configuring hardware using various backup utilities.
  • A working knowledge of TCP/IP and routing protocols.
  • Be able to develop and manage project plans for multiple high-profile projects.
  • Ability to solve problems and adapt to changing operational statuses among various contracts.

DevOps Engineer

  • Design, deploy, and manage infrastructure resources using Infrastructure as Code (IaC) tools.
  • Set up and maintain CI/CD pipelines for automating software build, test and deployment processes.
  • Manage and automate configuration changes across multiple servers and environments.
  • Facilitate communication and collaboration between development & operations.

Python Developer

  • Develop and maintain Python-based applications, software and tools.
  • Build server-side logic and APIs using Python frameworks such as Django, Flask or FastAPI.
  • Develop web applications and websites using Python-based web frameworks like Django or Flask.
  • Utilize Python libraries and tools such as NumPy, Pandas, Matplotlib, and scikit-learn for data analysis, visualization, and machine learning tasks.
  • Develop scripts and automation tools using Python to streamline repetitive tasks, workflows, and system administration tasks.
  • Use version control systems like Git to manage code repositories, track changes, and collaborate with other developers.
  • Identify performance bottlenecks and optimize Python code, algorithms, and data structures for improved efficiency and scalability.

Data Analyst

  • Collect and gather data from various sources, including databases, spreadsheets, APIs, web scraping, and external data sources.
  • Perform exploratory data analysis (EDA) to understand the structure, patterns, and relationships within the data.
  • Apply statistical methods and hypothesis testing to analyze data and infer relationships, correlations, and significance.
  • Develop predictive models and machine learning algorithms to forecast trends, predict outcomes, and classify data.
  • Interpret and translate complex data into actionable insights, recommendations, and strategic recommendations.
  • Ensure compliance with data privacy regulations, security standards, and organizational policies when handling sensitive and confidential data.