Full Stack Software Engineer II

What you will do:

• Design, develop, test, and maintain high-quality software components and services, contributing to low-level system design, API design, and data modeling within your team’s domain.
• Implement robust, secure, and performant code using established engineering best practices, including automated testing, code reviews, observability, and continuous integration and delivery.
• Collaborate with product, design, and engineering peers to refine requirements into clear technical solutions, breaking down work into incremental, shippable deliverables.
• Troubleshoot, debug, and resolve production issues, improving reliability, scalability, and operational excellence of services you own or support.
• Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
• Contribute to documentation, knowledge sharing, and cross-team collaboration, enabling your solutions to be reusable and fungible across multiple services and domains.
• Minimum Qualifications
• 2+ years of professional experience in full-stack software development.
• Bachelor's or Master's degree in Computer Science; or equivalent related professional experience.
• Proficiency in at least one modern programming language(Java/Kotlin) and associated frameworks, with solid understanding of data structures, algorithms, debugging, and unit/integration testing.
• Experience contributing to the operational lifecycle of services (monitoring, alerting, deployment pipelines, and incident handling) within a team setting.
• Preferred Qualifications
• Full-stack engineer with proficiency in Python, JavaScript, and React.
• Solid experience with agile project methodologies and working with distributed teams.
• Able to work closely with and incorporate feedback from specialists and product owners.
• Strong customer focus, with excellent problem-solving and analytical skills.
• Proficiency with LLM-powered applications, agentic workflows.
• Experience with AI-enabled software development workflows, including use of AI coding assistants and automated testing tools.