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Business Process Management (BPM), Analytics, Digital Transformation, Consulting

Full Stack Software Engineer

United StatesOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a Full Stack Software Engineer with 4-5 years of experience to build and maintain backend services using Python (FastAPI, Django) or Node.js, develop RESTful APIs, and improve service performance. The role also involves building responsive UIs with React, managing relational databases with SQL, and deploying applications in cloud environments (AWS, Azure, or GCP) using CI/CD pipelines. Experience with version control, Atlassian tools, and engineering best practices is required. Bonus points for experience with Docker, Kubernetes, microservices, and infrastructure-as-code tools. The role also includes responsibilities for leading data science projects, overseeing standards, and mentoring junior team members.

Job Description: What You’ll Do

Backend & API Development

  • Build and maintain backend services using Python (FastAPI, Django) or Node.js
  • Develop robust RESTful APIs and integrate with internal/external systems
  • Improve performance, reliability, and scalability of backend services

Frontend Engineering

  • 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)

Responsibilities: Lead medium sized data science projects. Oversee data science standards and documentation. Mentor junior team members. Collaborate with other departments.

Qualifications: Graduate in Data Science, Computer Science, Statistics, or a related field. 3-4 years of experience in data science or data analysis.

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