Backend engineer building scalable AI - native cybersecurity infrastructure for Doppel. Developing software that detects and disrupts phishing, impersonation, fraud, and other digital threats.
About the role
- Senior Software Engineer developing scalable platform features for AI applications. Contributing to a cybersecurity platform that aids enterprise decision-making in risk management.
Responsibilities
- Participate in the design of software products that meet our current requirements and are able to evolve as new requirements become known
- Provide technical leadership on software implementation in support of the product roadmap
- Demonstrate leadership in support of quality initiatives that achieve the expectations of prospects and maintain high renewal rates
- Champion processes that support team-led work planning, value delivery, and predictable execution
- Participate in planning sessions that ensure quality objectives are well-understood so that standards and metrics can be established
- Deliver predictable operational support for both internal and external consumers of our technologies
- Assisting in building a highly capable team based on great talent identification and recruiting
- Help ensure that the engineering team is happy, prolific, and autonomous
- Maximize the productivity of our technologies by assisting in the development of technical documentation
Requirements
- 5+ years of experience in building large-scale SaaS applications
- 3+ years of experience in SaaS Java/Groovy enterprise web application development
- 3+ years of experience in Spring Boot
- Experience using generative AI including LLM's and vector embeddings.
- Experience in developing web-scale applications
- Experience working with REST APIs
- Ability to work in all areas of the tech stack (“Full-Stack Engineer”)
- Understanding of Agile Scrum methodologies
- Significant work experience in enterprise IT systems management applications
- Experience in technical team leadership
- Excellent verbal and written communication skills.
- BS in Computer Science, Computer Engineering, or Electrical Engineering is preferred.
- AND IDEALLY
- Experience developing applications that leverage AI technologies (e.g., ML, Generative AI, NLP, etc.)
- Experience with MCP and agentic AI architectures
- Experience with analytical AI; training classification models or auto-encoders.
- Experience working with Neo4J or Yugabyte
- Experience developing cybersecurity or IT systems management applications
- Master’s or Advanced Degree in Computer Science, Engineering, or related discipline.
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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