Roles & Responsibilities:

- Lead the architecture, design, development, and enhancement of scalable, reliable, and maintainable software products and platforms.

- Design and develop productive, reusable, testable, modular, and scalable applications and services.

- Design solutions for data-intensive and distributed workloads , including data extraction, processing, transformation, cleaning, enrichment, and delivery.

- Drive product enhancements and new feature development while ensuring alignment with product objectives and long-term technical strategy.

- Apply appropriate design patterns, object-oriented principles, data structures, algorithms, and architectural practices to solve complex engineering problems.

- Conduct code and design reviews , promoting high standards for quality, security, performance, reliability, and maintainability.

- Mentor engineers through technical guidance, design discussions, code reviews, knowledge sharing, and problem solving.

- Improve engineering processes, development practices, automation, and team productivity through continuous improvement.

Requirements:

- 9 to 12 years of relevant work experience in software engineering and back-end application development .

- Proven track record of delivering production-grade systems.





- Robust hands-on experience with Python and developing RESTful APIs and backend services using FastAPI or similar frameworks.

- Strong experience designing and implementing micro-services and distributed systems .

- Hands-on experience with containerized application deployment.

- Experience with SQL databases , and NoSQL databases , such as MongoDB, Opensearch / Elasticsearch including indexing, mapping, search, querying, and performance optimization.

- Experience with data extraction, web scraping, data ingestion, cleaning, transformation, processing, and enrichment .

- Strong understanding of API design, service-oriented architectures, integrations, and asynchronous/distributed processing .

- Excellent communication and collaboration skills with both technical and non-technical stakeholders.

- Positive to Have:

- Experience applying AI and Machine Learning techniques to data-related problems .

- Exposure to LLMs, Generative AI, embedding, vector search, classification, entity matching, and automated data enrichment .

- Experience with large-scale data platforms, distributed data processing, event-driven architectures, or data pipelines .

- Experience contributing to technical strategy, architecture, and engineering standards across multiple teams.

📌 Staff Software Development Engineer (India)
🏢 Fortinet
📍 India