Staff Engineer, Software

Candidate Requirement :

Education : Bachelors in Engineering or Masters in Computer Science with 10+ years of extensive experience.

Mandatory Skills, Knowledge, and Experience :

• Python Development Experience :

Minimum 6 years of proven experience in  Python  development, with a strong emphasis on  backend  development, including creating RESTful APIs, working with libraries like  FastAPI  for high-performance web services.

• Generative AI (Gen AI) & OpenAI Integration :

Hands-on experience with  Generative AI  frameworks and APIs, including  OpenAI  models for generating human-like responses, completing tasks, and automating processes. Knowledge of how to effectively integrate these models into applications.

• API Development & Integration :

Extensive experience in building and maintaining  REST APIs  using  FastAPI , ensuring efficient communication between different services and applications. Familiarity with  authentication ,  authorization , and  API rate-limiting .

• Data Engineering & Processing :

Strong skills in  data engineering , including data extraction, transformation, and loading (ETL) processes. Expertise in  Pandas  for data manipulation, analysis, and handling large datasets.

• LLM (Large Language Model) Prompt Engineering :

Experience in  prompt engineering  for  LLMs . Ability to design and optimize prompts for specific use cases to extract relevant, high-quality outputs.

• Python Data Science Libraries :

Strong proficiency in  Pandas ,  NumPy , and other data analysis libraries to process and manipulate large volumes of data. Experience in generating data insights and performing statistical analyses.

• Version Control & CI / CD :

Proficient in using  Git  for version control and familiar with  CI / CD pipelines  for automated testing and deployment processes.

• Scrum and Agile Methodologies :

3+ years of experience with  Scrum  or Agile-based software development methodologies, with a focus on iterative development and collaboration.

• Testing and Automation :

Experience in  unit testing ,  integration testing , and  automated testing  using frameworks like  pytest  and  unittest to ensure code quality and reliability.

• Communication & Documentation :

Excellent verbal and written communication skills, capable of detailing code, technical processes, and explaining them to both technical and non-technical collaborators.

• Non-Functional Requirements (NFR) :

Experience in defining and implementing  Non-Functional Requirements  such as  performance  optimizations,  scalability , and  security  in data-driven applications.

Nice to Have Skills, Knowledge, and Experience :

• Cloud Services & Deployment :

Experience with  cloud platforms  like  AWS  or  GCP , specifically related to  data storage ,  serverless computing , and  scalable APIs .

• Data Pipeline Tools :

Familiarity with data pipeline tools like  Apache Airflow ,  Apache Kafka , or similar platforms for managing and orchestrating data workflows.

• Machine Learning & AI Frameworks :

Experience with machine learning libraries such as  scikit-learn ,  TensorFlow ,  PyTorch , or similar, particularly in building and training models for data-driven applications.

• Code Quality & Analysis Tools :

Experience with  SonarQube ,  ESLint , or similar tools for  code quality analysis , ensuring maintainability and scalability of the codebase.