Software Engineer Intern

About us 

At Cognira, we strongly believe that people are the biggest asset of our company. Our hand-picked team consists of passionate, collaborative, and forward-thinking individuals from all over the globe. We are passionate about making science easy and accessible to retailers, helping them get more value from people, data, and systems. We bring together expertise in retail, science, and scalable technologies to automate and enhance the quality of decision-making through software and consulting services.

We are proud to have a growing team of domain experts and data scientists, as well as a culture that fosters strong and long-lasting relationships with our clients. 

Our Locations: 

Atlanta, GA, U.S.

Paris, France

Istanbul, Turkey

Tunis, Tunisia 

Porto, Portugal

Our values:

Be nice and trustworthy

Put our customers first

Succeed together

Never stop improving

Are you ready to grow with us? To find out more about Cognira, please visit our website at 

About these internships:

We are looking for highly talented and motivated interns to join one of three departments at Cognira: QA, Front-end, or Back-end.

Department 1: Quality Assurance (QA) 

Goal: Ensure the accuracy, reliability, and performance of Cognira's platforms, including PromoAI.

Projects:

Forecast Metrics Validation and Reliability Analysis Framework

• Validate and analyze forecast metrics across promotion hierarchies.
  
• Detect metric discrepancies, analyze mismatch propagation, and visualize trends via dashboards.
  
• Technologies: , , Prisma, PostgreSQL, Power BI, Git/Bitbucket
  
  

Next-Generation UI Automation Framework for PromoAI

• Modernize the UI automation framework for scalability, configurability, and stability.
  
• Integrate with CI/CD pipelines, optimize execution speed, and migrate test assets.
  
• Technologies: Python, Selenium, Playwright, Cucumber, Jenkins, Docker, Git, Allure
  
  

Department 2: Front-end Development

Goal: Build user-facing platforms and intelligent tools for employees and developers.

Projects:

People Management Platform

• Centralizes HR functions such as performance tracking, engagement, and analytics.
  
• Optional AI features: Time-off nudges, sentiment analysis, HR chat assistant, retention risk prediction.
  
• Technologies: , Material UI, , , , PostgreSQL, Optional: LLM/ML
  
  

DevConnect

• Internal developer forum and mentorship platform.
  
• Features include profiles, mentorship tracking, real-time chats, optional Google Calendar integration.
  
• Technologies: React, TypeScript, , , MongoDB, JWT,
  
  

Configurations Studio

• Intelligent platform to manage static configuration files safely and efficiently.
  
• Technologies: React, TypeScript, , , MongoDB, JWT,
  
  

Codebase Dependency Analyzer

• Tool for visualizing component dependencies, detecting dead code, and improving architecture understanding.
  
• Technologies: , Material-UI, , , , , Neo4j/MongoDB, Babel, TypeScript Compiler API, Acorn
  
  

Department 3: Back-end Development

Goal: Build scalable, reliable, and intelligent backend services for internal and external use.

Projects:

State Reachability Verification

• Model-based system to verify whether a target state can be reached by a sequence of actions.
  
• Technologies: Scala, JavaScript, Docker, Kubernetes, Svelte/React
  
  

Natural Language Query Interface for Logs

• Converts natural-language queries into structured searches for logs.
  
• Technologies: FastAPI / Scala, OpenSearch, LangChain + GPT / LLaMA-3
  
  

Distributed Rate Limiting Solution

• Build a scalable rate limiting service for PromoAI with observability and low-latency enforcement.
  
• Technologies: Scala, PostgreSQL, Redis, Kubernetes, Prometheus, Grafana
  
  

Smart Monitoring & Incident Assistant

• Monitors logs and metrics, correlates anomalies, and summarizes incidents with AI.
  
• Technologies: Scala + Akka HTTP/FastAPI, OpenSearch, Prometheus, PySpark, Pandas, GPT-based AI

Department4: Devops

Azure Infrastructure Automated Disaster Recovery

Design and implement an automated disaster recovery solution for Azure Kubernetes Service (AKS) environments.
Build workflows to orchestrate failover and restore processes for clusters and workloads — both intra-region and cross-region.
Focus on minimizing downtime, ensuring consistency for stateless and stateful workloads, and integrating monitoring and alerting for DR readiness.

Optional Extension: Expand recovery automation to include Azure Databricks workspaces, enabling end-to-end resilience for analytics and data workloads in disaster scenarios.

Technologies: Azure, Kubernetes, Argo CD, Git

You will be part of a high-growth software company. Our program was designed so interns can grow their skill sets, do meaningful work, and have a lot of fun along the way

• Over the course of the internship, you will be exposed to a wide range of Cognira's tools, techniques, and technologies and have the opportunity to gain credible experience and learning
• This internship will entirely be in-person for you to get an in-depth experience of the company's culture and be more involved throughout your tenure.
• Duration: 4 - 6 months.
  

This is what we're looking for:

• Strong problem-solving and analytical skills including mining, evaluation, analysis, and visualization
  
• Excellent academics in Comp. Science, Engineering, Math, Statistics, Research, or a related field
• If you've got a bit of retail industry knowledge, it's like having an extra ace up your sleeve
  
• You're curious, and you love picking up new skills & technologies.
  
• You can communicate like a champ, whether it's writing reports or presenting in a room full of people.
  
• You're a team player, always up for sharing your ideas and best practices. Making the collective team effort better
  

It's not just an internship; we've got some great added value for you too. Here's what you'll enjoy:

• Great company culture.
• "Learn and Share" sessions.
• You'll get support from your mentors.
• Social events and after-work.
• A flexible and fun work environment.
• Casual dress code.
• You'll work with a cool team We respect your ideas, and we're all about trying new things.
• Work/life balance

[ Important: Please send us your resume in English only ]