Build intuitive, responsive UIs using React or similar frameworks
Work closely with design and product teams to bring user experiences to life
Data & Databases
Write efficient SQL queries and manage relational databases
Support schema design, data modeling, and performance tuning
Cloud & DevOps
Deploy and manage applications in cloud environments (AWS, Azure, or GCP)
Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, etc.)
Use Atlassian tools (Jira, Bitbucket, Confluence) for workflow and documentation
Collaboration
Participate in code reviews, sprint planning, and architecture discussions
Work cross‑functionally with product, design, and QA
Troubleshoot production issues and contribute to continuous improvement
What We’re Looking For
4–5 years of professional software engineering experience
Strong experience with Python and frameworks like FastAPI or Django
Solid SQL skills and experience with relational databases
Hands‑on experience with React or similar frontend frameworks
Familiarity with cloud platforms (AWS, Azure, or GCP)
Experience with CI/CD, Jenkins, and Atlassian tools
Strong understanding of engineering best practices and version control
Bonus Points
Experience with Docker or Kubernetes
Knowledge of microservices architecture
Exposure to infrastructure‑as‑code tools (Terraform, CloudFormation)
Lead medium sized data science projects. Oversee data science standards and documentation. Mentor junior team members. Collaborate with other departments.
Graduate in Data Science, Computer Science, Statistics, or a related field. 3-4 years of experience in data science or data analysis.
