Rangein

We’re looking for a Junior DevOps Engineer with 1–2 years of experience to help maintain and improve our infrastructure, deployment processes, and development environments.

You’ll work closely with developers and experienced DevOps engineers to automate routine tasks, support CI/CD pipelines, and ensure applications run reliably across different environments.

.   What you’ll do

• Maintain and improve CI/CD pipelines for building, testing, and deploying applications
• Work with Docker to build and manage application containers
• Assist with cloud infrastructure configuration and maintenance
• Support application deployments across development, staging, and production environments
• Work with Linux systems and troubleshoot infrastructure-related issues
• Write scripts using Bash or Python to automate routine tasks
• Monitor application and infrastructure health and investigate alerts
• Help troubleshoot deployment failures and service availability issues
• Maintain infrastructure configuration and environment variables
• Work with Git and follow infrastructure change management practices
• Document deployment procedures and infrastructure configurations

• Collaborate with developers to improve deployment workflows and system reliability
   

  What we’re looking for

• 1–2 years of commercial experience in DevOps, Cloud Engineering, System Administration, or a related technical role
• Basic to intermediate knowledge of Linux and command-line tools
• Hands-on experience with Docker and containerization
• Familiarity with CI/CD tools such as GitHub Actions, GitLab CI/CD, or Jenkins
• Basic experience with at least one cloud platform: AWS, Azure, or GCP
• Familiarity with Git and version control workflows
• Basic scripting skills in Bash or Python
• Understanding of networking fundamentals, DNS, HTTP/HTTPS, and environment configuration
• Basic understanding of Infrastructure as Code concepts
• Familiarity with monitoring, logging, and troubleshooting
• Good problem-solving skills and willingness to learn

• Intermediate English or higher

  
  Nice to have

• Basic experience with Kubernetes
• Familiarity with Terraform or Ansible
• Experience with cloud services such as AWS EC2, S3, IAM, or their equivalents on other platforms
• Familiarity with monitoring tools such as Prometheus and Grafana
• Experience with Nginx or other web servers
• Familiarity with Helm or Argo CD

• Understanding of security best practices and secrets management

  
  🎁 What we offer

• 100% remote work
• Flexible working hours
• Competitive compensation
• Paid vacation and sick leave
• Health insurance / medical support
• Professional development and learning opportunities
• A friendly, supportive team with direct communication
• The opportunity to work on challenging international projects

We’re looking for an ML/AI Engineer with 1–2 years of experience to help develop, integrate, and improve machine learning and AI-powered solutions.

You’ll collaborate with experienced engineers and other team members to build practical AI applications, experiment with different approaches, and bring AI capabilities into real-world products.

What you’ll do

• Develop and maintain AI/ML applications using Python
• Work with machine learning libraries and frameworks to implement and evaluate models
• Prepare, process, and analyze datasets for AI/ML tasks
• Integrate LLM APIs and other AI services into applications
• Experiment with prompts, model configurations, and different approaches to improve results
• Contribute to the development of AI-powered features, including chatbots and intelligent automation
• Work with embeddings, vector databases, and retrieval-based solutions when needed
• Evaluate model outputs and help improve accuracy, relevance, and reliability
• Write tests and maintain readable, reusable code
• Collaborate with backend engineers, data engineers, and other stakeholders

• Document experiments, technical decisions, and implementation details
   

  What we’re looking for

• 1–2 years of commercial experience in AI/ML development, Python development with AI/ML responsibilities, or a related role
• Good knowledge of Python and common development practices
• Familiarity with libraries such as Pandas, NumPy, and scikit-learn
• Understanding of fundamental machine learning concepts and model evaluation
• Practical experience with at least one of the following:
  - LLM APIs and AI application development
  - Machine learning model development and evaluation
  - NLP or other applied AI solutions
• Understanding of data preprocessing and basic statistical concepts
• Familiarity with REST APIs, Git, and testing
• Analytical thinking and the ability to investigate technical problems

• Intermediate English or higher
   

  Nice to have

• Experience with OpenAI or other LLM APIs
• Familiarity with RAG (Retrieval-Augmented Generation)
• Experience with LangChain, LangGraph, or similar frameworks
• Familiarity with vector databases such as Pinecone, Qdrant, or Weaviate
• Experience with PyTorch or TensorFlow
• Basic knowledge of embeddings, semantic search, and prompt engineering
• Familiarity with Docker and cloud platforms such as AWS, Azure, or GCP

• Understanding of AI evaluation, monitoring, and deployment practices

  
  🎁 What we offer

• 100% remote work
• Flexible working hours
• Competitive compensation
• Paid vacation and sick leave
• Health insurance / medical support
• Professional development and learning opportunities
• A friendly, supportive team with direct communication
• The opportunity to work on challenging international projects

We’re looking for a Junior Data Engineer with 1–2 years of experience to help build, maintain, and improve data pipelines and data processing solutions.

You’ll work closely with experienced engineers and other team members to develop reliable data workflows, improve data quality, and grow your expertise in data engineering.

What you’ll do
- Build and maintain ETL/ELT pipelines from databases, APIs, and other data sources
- Write and optimize SQL queries for data processing and transformation
- Develop data processing scripts using Python
- Assist with data modeling and maintaining data warehouse structures
- Work with Airflow or similar workflow orchestration tools
- Implement data validation and quality checks
- Monitor pipeline execution and help troubleshoot issues
- Participate in improving pipeline performance and reliability
- Use Git for version control and collaborate through code reviews
- Document data pipelines and technical processes

What we’re looking for
- 1–2 years of experience in Data Engineering or a related technical role
- Good knowledge of SQL and basic to intermediate Python skills
- Understanding of ETL/ELT processes and data transformation concepts
- Familiarity with relational databases and data warehousing fundamentals
- Basic experience with Airflow or similar orchestration tools, or willingness to learn
- Familiarity with at least one cloud platform: AWS, Azure, or GCP
- Understanding of Git, testing, and data quality principles
- Analytical thinking, attention to detail, and a willingness to learn
- Intermediate English or higher

Nice to have
- Experience with Spark / PySpark
- Familiarity with Databricks, Delta Lake, or lakehouse architecture
- Basic knowledge of Kafka, CDC, or streaming data
- Familiarity with Terraform or other Infrastructure as Code tools
- Experience with CI/CD pipelines

🎁 What we offer
- 100% remote work
- Flexible working hours
- Competitive compensation
- Paid vacation and sick leave
- Health insurance / medical support
- Professional development and learning opportunities
- A friendly, supportive team with direct communication
- The opportunity to work on international projects and grow your data engineering skills

We’re looking for a Python Full-Stack Developer with 1–2 years of experience to help build and maintain web applications and backend services.

You’ll work closely with experienced engineers to develop new features, integrate APIs, and contribute to reliable, user-friendly applications while continuing to grow your technical skills.

What you’ll do

- Develop and maintain backend services and REST APIs using Python
- Work with frameworks such as FastAPI, Django, or Flask
- Build and maintain frontend components using JavaScript or TypeScript and React
- Work with relational databases such as PostgreSQL or MySQL
- Write clean, maintainable, and testable code
- Integrate third-party APIs and external services
- Write unit tests and participate in code reviews
- Troubleshoot bugs and improve application performance
- Use Git for version control and collaborate with the development team
- Participate in technical discussions and contribute to improving existing solutions
- Document technical implementations when needed
 

What we’re looking for

- 1–2 years of commercial experience in Python development
- Good knowledge of Python fundamentals and object-oriented programming
- Familiarity with at least one Python web framework, preferably FastAPI or Django
- Understanding of REST APIs and HTTP fundamentals
- Experience working with SQL databases, preferably PostgreSQL
- Basic knowledge of JavaScript or TypeScript, HTML, and CSS
- Familiarity with React or another modern frontend framework
- Understanding of Git, unit testing, and software development best practices
- Basic knowledge of Docker and application deployment concepts
- Good problem-solving skills and willingness to learn
- Intermediate English or higher
 

Nice to have

- Experience with asynchronous programming in Python
- Familiarity with Redis or other caching solutions
- Experience with cloud platforms such as AWS, Azure, or GCP
- Familiarity with CI/CD pipelines
- Experience integrating AI APIs or working with LLM-based applications

🎁 What we offer
- 100% remote work
- Flexible working hours
- Competitive compensation
- Paid vacation and sick leave
- Health insurance / medical support
- Professional development and learning opportunities
- A friendly, supportive team with direct communication
- The opportunity to work on challenging international projects