Software Developer L1

Making a career change is a big decision. Why consider Aptos Become a part of a team that is passionate about creating and delivering cutting-edge solutions for retailers worldwide. At our company, we re dedicated to supporting your career aspirations and helping you exceed your goals. You ll benefit from industry-leading training, global development opportunities, and the chance to collaborate within a diverse culture across our offices in nine countries. Our inclusive culture reflects our purpose: to make a difference for every colleague, every client, every day. As a leading provider of Unified Commerce solutions for retail, our technology empowers top retail brands by optimizing product management, promotions, merchandising, and store operations. With the global shift toward our cloud-native, microservices architecture, opportunities for career growth have never been more exciting. Today, more than 100,000 retail stores in fashion, grocery, footwear, general merchandise, discount, and sporting goods rely on our solutions to generate nearly $2 trillion in annual revenue. We hope you ll join us in driving innovation and delivering impactful solutions as we continue leading the Unified Commerce revolution. Key Responsibilities Implement MCP tools that wrap Aptos domain APIs inventory, orders, customer, store operations with typed Pydantic schemas, tests, and clear LLM-facing descriptions. Contribute features to Foundrys catalog, testing, and deployment workflows, and to Concierge agent capabilities under guidance from senior engineers. Write well-tested Python (pytest, high coverage expected) against FastAPI services, and keep code passing lint/type gates (ruff, mypy). Package services in Docker, deploy via Helm and Harness/GitHub Actions pipelines, and fix issues surfaced by the security gate (bandit, trivy, pip-audit). Add tracing and metrics to your code (OpenTelemetry, Prometheus) and use Langfuse traces to understand and debug agent behavior. Participate in code reviews, design discussions, and on-call rotation as you grow; document what you build. Required Qualifications 1 to 3 years of professional software engineering experience (or strong internship/project record) with solid Python fundamentals. Experience building and testing web APIs (FastAPI, Flask, or Django) and working with relational or analytical databases. Familiarity with Docker and Git-based CI workflows; willingness to learn Kubernetes, Helm, and AWS. Genuine interest in LLM applications coursework, side projects, or professional exposure to prompting, agents, or model APIs. Strong testing habits and receptiveness to code review feedback. Preferred Qualifications Exposure to LangChain/LangGraph, MCP, or LLM provider SDKs (Anthropic, OpenAI, Bedrock). Basic Kubernetes experience or AWS familiarity (EKS, IAM, S3). Experience with Kafka, Snowflake, or Postgres. Interest in AI safety topics: guardrails, PII handling, tool authorization. We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice. Submit your resume today! Learn about Aptos Global Culture Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.