3-5 years applying full-stack development in a production environment.
Demonstrated solutions mindset: Experience translating ambiguous requirements into a technical design or architecture, not just implementing pre-defined tickets.
Experience with agentic AI coding tools: demonstrated proficiency using tools to enhance existing code stacks at scale.
Proven full-stack development experience: minimum of 3-5 years developing, maintaining, and improving front-end and back-end systems.
Proficient in at least one back-end language (Python preferred) and one front-end framework/tool (TypeScript preferred).
Experience designing and consuming RESTful APIs for integration across systems.
Strong foundational skills across relational (e.g., PostgreSQL, MySQL, SQL Server) and non-relational (e.g., MongoDB) databases.
Comfortable operating in agile environments and collaborating across multidisciplinary teams.
Version control proficiency: Git (GitLab preferred).
Experience with testing, security, DevSecOps, and CI/CD processes.
Strong communication and influence skills: able to pitch a technical solution to both engineers and non-technical stakeholders, and defend the "why" behind an architecture, not just the "how."
Desired Skills
Advanced proficiency in agentic AI tools, including designing multi-step or multi-agent workflows to accelerate development.
Experience with cloud environments (AWS, Azure, or Google Cloud) for designing and deploying cloud-based solutions.
Microservices and containerized architecture experience (Docker, Kubernetes).
UI/UX design sensibility - knowledge of React, Vue.js, or Angular used in service of better user outcomes, not just implementation.
Infrastructure-as-code fluency (Terraform, Ansible) as part of a broader DevSecOps practice.
Data engineering experience: ETL pipelines, data pipeline management, real-time analytics.
Advanced Agile/SAFe experience, including shaping sprint planning around architectural priorities.
A track record of proposing solutions others hadn't considered - whether that's a novel integration pattern, a smarter data flow, or a way to use AI tooling that saved a program significant time