Software Engineer

Software Engineer

Be bold. Be exceptional. Be well. We are looking for a Junior Full Stack & DevOps Engineer to help build, integrate, and operate the data platforms, internal applications, and cloud infrastructure that power Curio's analytics, automation, and AI capabilities. This is a hands-on growth role for an early-career engineer who enjoys working across the stack and is excited to build deep skills in DevOps and cloud operations. You will write application and pipeline code, and you will also help keep our build, deployment, and monitoring systems running reliably—learning alongside senior engineers who will mentor you throughout.

We are an AI-forward engineering team in two senses. We use AI tools every day to write, review, and ship code faster, and we build AI and LLM-powered capabilities into the products and platforms we deliver. We are looking for someone who is genuinely excited to work this way and to help shape how Curio puts AI to work. You will contribute to:

• Full stack application and API development
• Data pipeline and integration support
• CI/CD, cloud infrastructure, and deployment automation
• Monitoring, observability, and operational reliability
• AI-augmented engineering and AI/LLM-powered features

ESSENTIAL DUTIES AND RESPONSIBILITIES: include the following. Other duties may be assigned.

• DevOps & Cloud Operations
• Help build, maintain, and improve CI/CD pipelines for automated build, testing, and deployment.
• Assist with provisioning and managing cloud infrastructure (AWS preferred), increasingly using infrastructure-as-code.
• Support containerized workloads (Docker) and assist with orchestration on ECS, Kubernetes, or serverless platforms.
• Set up and maintain monitoring, logging, alerting, and dashboards for applications, pipelines, and services.
• Help respond to operational issues, participate in troubleshooting, and document runbooks and fixes.
• Apply secure engineering practices: secrets management, least privilege access, and audit logging.
• Application & API Development
• Build and maintain internal applications, dashboards, and tools under guidance from senior engineers.
• Develop back-end services (APIs, microservices) and front-end interfaces using modern frameworks.
• Integrate applications with enterprise systems, cloud services, and external platforms.
• Help integrate AI and LLM-powered features—chat, summarization, search, automation—into internal tools and user-facing applications.
• Data & Platform Support
• Help build and maintain data pipelines and system integrations (ETL/ELT).
• Support the enterprise data warehouse/lakehouse, including schema changes and basic performance tuning.
• Assist with automated data validation, testing, and monitoring to keep data reliable and trustworthy.
• Help prepare and structure data so it is AI-ready, supporting model inputs, retrieval, and LLM-powered features.
• Quality & Ways of Working
• Write clean, maintainable, tested code; participate in code reviews and design discussions.
• Use AI-assisted coding tools to work faster, while applying sound judgment to review, test, and verify generated code.
• Follow data governance and security standards, including naming conventions, access controls, and data quality checks.
• Translate requirements into small, iterative deliverables and participate in Agile ceremonies.
• Contribute to internal documentation, standards, and engineering best practices.

QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Required 1–3 years of experience in software engineering, data engineering, DevOps, or a related role (internships, co-ops, and strong project work count).
• Working knowledge of Python and SQL.
• Exposure to building web applications (front-end, back-end, and database).
• Some hands-on experience with DevOps fundamentals: Git, CI/CD pipelines, and basic cloud services.
• Familiarity with at least one cloud platform (AWS preferred, Azure/GCP ok).
• Understanding basic data governance, data quality, and secure access concepts.
• Comfort using AI-assisted coding tools (e.g., Copilot, Claude, Cursor) in day-to-day development.
• Eagerness to learn, strong problem-solving instincts, and good communication skills.

Preferred Experience with containerization (Docker) and exposure to orchestration (Kubernetes, ECS, or serverless).

Familiarity with infrastructure-as-code tools (Terraform, CloudFormation, or similar).

Experience with a modern front-end framework (React, Vue, or Angular).

Exposure to modern data stack tools (dbt, ClickHouse, Snowflake, Databricks, or BigQuery).

Hands-on experience integrating AI/LLM capabilities into tools or applications (APIs, prompts, retrieval, or agent workflows).

Relevant certifications or coursework in cloud or DevOps.

Who You Are An early-career engineer eager to grow across application development and DevOps. Curious and self-motivated—you dig into how systems work and how to make them more reliable. Comfortable asking questions, taking feedback, and learning from more senior engineers. Excited by the potential of AI and high-quality governed data to transform business operations—and eager to use AI tools to amplify your own work. A clear communicator who enjoys collaborating with cross-functional partners.

Curio Wellness is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Must be 21 years old.

As a condition of employment, all Curio Wellness employees must comply with the State of Maryland requirements which include providing a copy of your fingerprints in the required format and consenting to an FBI Background Check.