Lead Software Engineer – Python, API, LLM and AWS AI Engineering

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Develops innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS, and AI Agentic frameworks
• Develops and implements state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5 years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) including Python (fast
  
  API), Microservices, API, LLM, and AWS (EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, Dynamo
  
  DB, EMR, and Kinesis)
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Expert in cloud native experience

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs and for mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.