Developer - AI Engineering - Backend

Responsibilities

• Develop and maintain microservices, MCP tools, and analytics services
• Work with datasets, schemas, and business context to implement analytics solutions
• Develop data retrieval, enrichment, and analysis workflows
• Build integrations with Databricks, OpenSearch, PostgreSQL, and other enterprise platforms
• Optimize SQL queries and data access patterns
• Maintain and enhance existing production services and platform components
• Troubleshoot production issues and implement sustainable fixes
• Improve service reliability, observability, performance, and operational efficiency
• Collaborate with senior engineers to design and implement scalable solutions

Requirements

• 2–3 years of software development experience
• Strong Python and SQL skills
• Experience working with datasets and analytics platforms
• Experience building backend services, microservices, or platform integrations
• Experience supporting and maintaining production services in a cloud-native environment
• Experience with AWS, Docker, Kubernetes, and CI/CD
• Familiarity with MCP, AI-powered applications, or natural language interfaces
• Strong analytical, debugging, and problem-solving skills

Preferred Qualifications

• Experience with Databricks, OpenSearch, Spark, Snowflake, or PostgreSQL
• Familiarity with LLMs, tool calling, retrieval systems, or conversational analytics

Benefits

• Equity for all employees
• Flexible annual leave, paid holidays, and volunteer days
• Comprehensive private benefits plan including medical insurance for you and your family
• Life insurance (3x compensation) and personal accident insurance
• Fertility support and paid parental leave
• Employee Assistance Program

About the Company

Arctic Wolf is a leader in the cybersecurity industry, dedicated to ending cyber risk through award-winning innovation like the Aurora Platform. We foster a collaborative and inclusive work environment where our global team solves complex problems to protect organizations worldwide.