Lead Consulting Developer- Python, AI/ML, Distributed System, Microservices

Qualifications

• BS/MS/PhD in Computer Science or related field, with 6+ years of professional experience
• Extensive hands-on software design and programming experience, including deep expertise with Python
• Proven experience designing and building distributed systems and large-scale architectures
• Strong experience implementing microservices on leading container orchestration platforms (e.g., Kubernetes)
• Demonstrated ability to optimize systems for performance, efficiency, reliability, and scalability
• Strong customer focus with a track record of delivering robust and maintainable solutions
• Excellent communication, facilitation, and interpersonal skills, with experience collaborating across global teams
• Advanced troubleshooting, analytical, and performance tuning skills in Cloud environments
• Hands-on Cloud development experience across major platforms (Oracle Cloud, AWS, Azure, GCP)
• Experience working in an Agile development environment
• AI/ML experience: Proven track record building and operating Generative AI, Agentic, and Retrieval-Augmented Generation (RAG) systems
• Experience supporting and automating ML Ops pipelines
• Comfortable working directly with data scientists and research/innovation teams
• Familiarity with code generation assist technologies

Responsibilities

• Accountable for broad software design, code quality, and architecture decisions
• Lead and direct design sessions and code reviews for functional correctness, architectural maintainability, and performance
• Quickly comprehend and debug complex, unfamiliar codebases
• Ability to multi-task and deal with changing priorities
• Mentor and provide technical guidance to junior engineers and peers
• Drive adoption of engineering best practices across the team
• Collaborate closely with stakeholders to ensure requirements are clearly defined and delivered
• Contribute to and own critical project planning, estimation, and delivery timelines
• Promote a culture of innovation, teamwork, and continuous improvement
• Ensure security and compliance requirements are addressed in the software development lifecycle