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Tier-1 employer, metro location, mid-level generalist backend role with broad cloud and AI requirements.
Skills (Python, AWS, GenAI orchestration) are broadly transferable across industries.
Explicit 2+ years requirement plus mandatory Python, AWS, and GenAI/LLM production skills increases filter strictness.
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Design, develop, and troubleshoot secure and high-quality software solutions primarily using Python, with ability to maintain and enhance Java services.
Leverage enterprise-authorized AI-assisted development tools across the software development lifecycle to improve code quality, delivery speed, and automation value.
Build and operate applications on AWS cloud infrastructure using services like S3, RDS, Lambda, Redshift, Athena, Step Functions, MSK, ECS, and EKS.
Formal training or certification in software engineering with a minimum of 2 years of applied experience.
Hands-on experience with enterprise-authorized AI-assisted software development tools, including the ability to critically evaluate AI-generated outputs.
Proficiency in Python development focused on AI/data processing, production engineering, and understanding of responsible AI use in engineering workflows.
Experience working with AWS services and operating cloud-based applications; specific certifications preferred but not mandatory.
Experienced software engineer skilled in Python as primary language and capable in Java for platform support and integrations.
Familiar with leveraging Generative AI models (e.g., OpenAI), LLM orchestration, agentic frameworks, and MCP servers for business problem solving.
Able to deliver rapid proof-of-concept to production transitions with strong problem-solving, troubleshooting, communication, and mentoring abilities.