3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Develop and maintain Python backend services, frontend components, and REST APIs for the SIGHT platform.
- Build reporting interfaces, visual analytics, Microsoft Fabric dataflows, and data pipelines integrating security, compliance, and enterprise data.
- Implement AI-assisted automation and use AI-assisted development tools responsibly to improve operational efficiency.
- Apply CI/CD practices with Git, GitHub Actions, Jenkins, and Podman while contributing to documentation, release notes, and production support.
- Collaborate with product management, security specialists, engineering teams, and enterprise tool owners to shape requirements and roadmap priorities.
- Own agreed deliverables, communicate progress and risks, and collaborate across security, engineering, and operations stakeholders.
Requirements
- 8–10 years of practical experience in application, tooling, platform, or full-stack development, including Python development.
- Experience with Microsoft Power BI, Microsoft Fabric, DevOps practices, and CI/CD pipelines using tools such as Git, GitHub Actions, Jenkins, or Podman.
- Knowledge of data engineering concepts including PySpark, Microsoft Fabric Dataflows, data modeling, analytics workflows, and dashboard-oriented solution design.
- Experience or knowledge of backend and API development using FastAPI, Uvicorn/Gunicorn, and REST APIs.
- Experience with frontend or reporting technologies including HTML, CSS, and JavaScript.
- Understanding of cloud platforms such as Microsoft Azure, including storage, IAM, networking, security fundamentals, and production operations.
- Relevant education, training, or equivalent practical experience in software engineering, computer science, systems engineering, information technology, or a related discipline.
- Practical knowledge or experience in secure software development or application security.
- Relevant training or certifications in Python, cloud technologies, DevOps, Microsoft Power BI, Microsoft Fabric, or data engineering are complementary qualifications.
- Familiarity with security-tool integrations and Agile or SAFe environments is supportive.
Benefits
- Flexible working model enabling employees to work wherever and however they work best.
- Learning and professional development through on-the-job training, formal activities, and daily interactions.
- Caring environment supporting professional growth and personal well-being.
- Compensation packages including salary, bonus, caregiving, and health benefits.
- Global, diverse, equitable, and inclusive work environment with equal-opportunity and accessible recruitment commitments.
Tech Stack
Categories
Data EngineeringFull Stack
About Amadeus
Amadeus builds enterprise software and transaction platforms for the travel industry, including a global distribution system and airline passenger service systems, plus airport and hospitality solutions. It sells to airlines, travel agencies, airports, hotels, and rail operators through long-term contracts, software subscriptions, and transaction-based fees. Founded in 1987 and headquartered in Madrid, it is a public company listed on the Madrid stock exchange.