Senior Python Software Engineer

Job Summary

We are looking for a highly skilled Senior Software Engineer with a strong foundation in backend development, data engineering, and cloud computing, along with working experience in Generative AI technologies. The candidate should have hands-on experience designing scalable systems, managing data workflows, and leading technical initiatives while guiding junior developers.

Key Responsibilities

• Lead the design, development, and deployment of scalable backend microservices using Flask, FastAPI, or RapidAPI.
• Architect and implement data pipelines, ETL processes, and API integrations to enable reliable data flows.
• Work closely with data scientists and AI engineers to integrate GenAI models into production environments.
• Manage and deploy applications on AWS / Azure, ensuring security, performance, and cost optimization.
• Design and optimize relational and non-relational database schemas. • Implement CI/CD pipelines, monitoring, and observability tools for production systems.
• Collaborate with cross-functional teams (Frontend, DevOps, AI/ML, and Product).
• Lead code reviews, promote clean coding standards, and mentor junior team members.
• Communicate effectively with stakeholders and provide technical leadership in project planning and execution.

Required Technical Skills

• Programming Languages: Python (primary), SQL, Shell scripting.
• Frameworks: Flask, FastAPI, RapidAPI.
• Databases: PostgreSQL, MySQL, MongoDB, DynamoDB.
• Data Engineering Tools: Apache Airflow, Spark, Pandas, ETL/ELT workflows.
• Cloud Platforms: AWS (Lambda, ECS, S3, RDS, Glue, Athena), Azure (Functions, Data Factory, Blob Storage).
• DevOps Tools: Docker, Jenkins, Git, Terraform (preferred). • GenAI / AI Integration: Experience with LLM APIs (OpenAI, Hugging Face, LangChain), prompt engineering, or AI service orchestration.
• Other Skills: API security, authentication (OAuth2, JWT), and performance optimization.

Preferred Qualifications

• Bachelors / Master’s degree in Computer Science, Engineering, or related fields.
• Proven experience leading a small development or data engineering team.
• Prior exposure to microservices, event-driven architecture, or serverless computing.
• Understanding of MLOps / model deployment pipelines.
• Strong communication, analytical, and problem-solving abilities. Soft Skills & Leadership Attributes
• Proactive ownership of deliverables with minimal supervision.
• Effective communication with both technical and non-technical stakeholders.
• Ability to guide, coach, and inspire junior developers.Role & responsibilities

Preferred candidate profile