Senior Python Backend Engineer IRC259911

Description

GlobalLogic has been engaged in exploring opportunities to implement ML/AL/GenAI-powered applications for multinational industrial conglomerate since 2023, aiming to enhance business efficiency. After conducting a Discovery phase and completing 3 pilot projects covering use cases of Customer Requirements, Tender Response and Project Design areas, GL proposes to enhance pilots with additional capabilities, identified and confirmed with the client’s experts throughout pilots development, taking the applications to the next MVP (Minimum Viable Product) stage.

You will be working on 3 relatively small projects in a mix of energy and finance domains.

The first project helps the client respond to complex and high-stakes bids, significantly reducing the risk of costly omissions in their tender responses. Our AI-powered solution audits the costing underlying a tender response ensuring near-zero costing errors, and slashing review time by more than 30%, thereby protecting the organization from potentially substantial financial losses and improving bid competitiveness.

The second project is aimed to reduce the time and manual effort involved in creating or updating 3D models during the tender or project phases. They are exploring a solution that can automate the preparation of 3D models by updating base models according to project requirements.

The third project is developed to understand the differences between revisions, engineers currently need to compare entire specifications and related documents, often requiring them to read hundreds of pages. This labor-intensive process can result in missed project milestone deadlines or even delays to the overall project timeline. Gen AI tool assists with facilitating changes identification by comparing different revisions of requirements and highlighting and summarizing key changes.

Projects tech stack: Kubernetes, Terraform, Helm, LLM, ML, AI, Asyncio, Python, Pandas, HayStack, Azure Blob Storage, Azure DevOps, SQL Alchemy, Docker, Docker Compose, PySpark, PostgreSQL, FastAPI
 

Requirements

Experience:

• 5+ years of experience in Python backend development, with at least 2 years in a senior/lead role.
• Experience working with modern Python frameworks like FastAPI, Flask, or Django.
• Strong experience in asynchronous programming with Asyncio and managing concurrency.
• Expertise in data processing using Pandas, PySpark, or similar frameworks.
• Familiarity with databases such as PostgreSQL and SQLAlchemy for ORM.
• Experience with Docker, Docker Compose, and CI/CD pipelines (especially with Azure DevOps).
• Knowledge of cloud services, particularly Azure Blob Storage and working within an Azure environment.
• Solid understanding of API development, microservices architecture, and RESTful APIs.

Technical Skills:

• Proficient in Python, with a deep understanding of best practices, algorithms, and data structures.
• Solid understanding of version control using Git.
• Familiar with containerization and orchestration using Docker and Docker Compose.
• Hands-on experience with cloud platforms like Azure.
• Familiarity with distributed systems and scalability best practices.

Soft Skills:

• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Ability to lead and mentor a team of engineers, fostering collaboration and knowledge-sharing.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and manage multiple projects simultaneously.

Desirable:

• Experience with HayStack (for semantic search) or other search indexing frameworks.
• Familiarity with additional data tools such as Apache Kafka or Apache Airflow.

• Knowledge of agile development methodologies and project management tools like Azure.

   

Job Responsibilities

• Project Leadership: Lead the backend development for one of the high-priority projects, ensuring timely delivery and optimal quality. Oversee the technical aspects of development, architecture, and best practices.
• Backend Development: Write clean, efficient, and maintainable Python code to implement backend services and APIs. Use frameworks such as FastAPI to build fast, secure, and scalable web applications.
• Data Engineering: Utilize tools like Pandas, PySpark, and SQLAlchemy to process, transform, and analyze large datasets. Integrate and manage data flow across the backend services.
• Asynchronous Programming: Leverage Asyncio to develop high-performance, non-blocking I/O applications for efficient and scalable backend systems.
• Database Management: Manage and optimize PostgreSQL databases, ensuring efficient querying and smooth data operations. Handle data storage and retrieval using Azure Blob Storage.
• Infrastructure & CI/CD: Implement Docker-based containers and work with Docker Compose to set up and manage development, staging, and production environments. Use Azure DevOps for CI/CD pipelines to automate testing, deployment, and release processes.
• Collaboration: Work closely with front-end developers, data scientists, DevOps engineers, and other stakeholders to design, build, and deploy backend systems. Provide technical leadership and mentorship to junior developers.
• Problem Solving: Troubleshoot complex technical problems, debug issues, and find solutions in a timely manner.
• Code Review & Quality Assurance: Conduct code reviews to ensure best practices and high code quality. Write unit tests, integration tests, and ensure proper documentation.
• Performance Optimization: Optimize the performance and scalability of backend systems, especially in handling large datasets and high-concurrency use cases.
• Documentation: Maintain and improve internal documentation for backend systems, ensuring knowledge sharing and best practices.