Partners with cross-functional teams (Product, Security, SRE, and peer engineering teams) to translate requirements into well-designed APIs and reliable services
Drives improvements across the SDLC toolchain (CI/CD, test automation, security scanning, dependency management) to improve delivery velocity and quality
Required qualifications, capabilities, and skills
Expert-level proficiency in Python and strong experience building backend services in enterprise environments
Hands-on production experience building AI applications using ADK and LangGraph (mandatory), including operating and maintaining them in production
Formal training or certification on software engineering concepts and 6+ years applied experience (or equivalent experience)
Strong hands-on experience in system design, application development, testing, and operational stability for production services
Strong experience with API design and implementation using FastAPI (or equivalent), including REST service and microservice development best practices
Strong understanding of software design principles and patterns and ability to apply them in production systems
Experience with relational databases (e.g., Postgres) including strong SQL fundamentals
Proficient in coding in one or more languages and able to learn new technologies quickly; able to guide others in adoption and best practices
Experience developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database querying languages
Solid understanding of agile methodologies and engineering practices such as CI/CD, application resiliency, performance engineering, and security-by-design
Ability to lead technical discussions and drive alignment across stakeholders (design reviews, trade-offs, delivery plans, and risk management)
Preferred qualifications, capabilities, and skills
Hands-on experience building and operating cloud-based applications on AWS environments
Familiarity with containers and CI/CD practices in production environments
