is seeking highly skilled Python Software Engineers to support complex data workloads and AI driven systems. This role is ideal for engineers who are deeply hands on with Python and PySpark, comfortable working in production environments, and experienced contributing to or actively engaging with open source communities.
This position will focus on building production grade APIs, scalable data pipelines, and developer tooling, while collaborating across engineering, product, and data teams.
Top Requirement: Candidates must be very strong in Python and PySpark. This is non negotiable and should be the primary focus during technical screening.
Key Responsibilities
- Design and develop production grade Python services and APIs supporting AI and data platforms
- Build and optimize PySpark workloads to support large scale data processing
- Contribute to AI systems and complex data pipelines in production environments
- Develop developer tooling to streamline the software delivery lifecycle
- Implement observability, monitoring, and performance optimization strategies
- Practice infrastructure as code and deployment automation
- Collaborate with engineering, product, and data teams on architecture and system design
- Participate in and contribute to technical discussions and design reviews
Required Skills & Experience
- Strong Python expertise (primary language)
- Strong PySpark experience working with large datasets
- 5+ years of professional software engineering experience, primarily in Python
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- Experience contributing to open source projects
- Code contributions, PRs, or
- Meaningful participation via issues, discussions, or proposals in major libraries (data science, ML, or LLM ecosystems)
- Strong experience with Git and platforms such as GitHub, GitLab, or Bitbucket
- Experience developing APIs using FastAPI
- Experience with ML / data libraries such as Scikit Learn, TensorFlow, or similar
- Experience working with cloud platforms (AWS, GCP, or Azure)
- Experience with containers, orchestration systems, and serverless technologies
- Strong communication skills and ability to articulate technical decisions clearly
Nice to Have
- Experience with LangChain and/or LangFlow
- Background supporting LLM based or AI driven applications
- Experience building data intensive platforms in production
- Exposure to distributed systems and large scale data architectures
What United Airlines Is Looking For
- Engineers who can write clean, production ready Python code
- Strong understanding of distributed data processing using PySpark
- Candidates who actively engage with open source communities
- Engineers who understand how code moves from development to production
- Ability to operate independently while contributing within a collaborative, cross functional environment
Interview & Screening Notes (Internal Use)
- Must ask deep technical questions on Python and PySpark
- Validate hands on experience, not just conceptual knowledge
- Ask candidates to walk through GitHub contributions or open source engagement
- Focus on real production scenarios, performance considerations, and data scale
If you want, I can:
- Create a short LinkedIn / recruiter outreach version
- Draft a Python + PySpark technical screening guide
- Build a GitHub contribution checklist for candidate validation
- Tailor this JD for AI heavy vs data heavy focus
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