Software Engineer I developing secure Java applications supporting TD’s retail banking services. Building APIs, testing features, and supporting deployments within an onsite engineering team.
About the role
- Software Engineer developing fullstack solutions for Threat Narrative team at Abnormal AI. Building email-centric narrative experiences with a focus on customer communication and detection quality.
Responsibilities
- Design and implement fullstack features across Threat Narrative and Email Details surfaces, including customer portal components, internal analyst tools, and QBR-facing outputs, with guidance from senior engineers.
- Implement and evolve APIs and services that generate enriched narratives from attack data, enrichment signals, and GenAI/LLM agents, following established contracts and patterns.
- Contribute to data models and explainability contracts that make complex threat decisions more understandable to customers and internal analysts.
- Write high-quality, well-tested Python/Django and React/Typescript code, focusing on correctness, performance, and maintainability.
- Participate in owning SLAs/SLOs, observability, and incident response for Threat Narrative and Email Details services by building and improving dashboards, alerts, and runbooks in the areas you own.
- Collaborate closely with Product, CS, GTM, Threat Intel, Detection, and DS partners to ensure narrative experiences clearly communicate attack context, value, and outcomes for customers.
- Engage in design and code reviews, learn from more senior engineers, and surface opportunities to simplify, derisk, and improve existing systems.
Requirements
- 2+ years of professional, production-level software engineering experience
- Proficiency in Python and Django (or a similar backend framework), and comfort working with Postgres or similar relational databases
- Experience building modern frontend applications with React and Typescript, including data-heavy or workflow-centric UIs
- Ability to design and work with well-structured APIs and data models for data-intensive applications, with attention to correctness and evolvability
- Experience using metrics, logging, and tracing to debug production issues and understand user behavior in at least one prior system
- Strong collaboration and communication skills, including working effectively with Product and partner engineering teams to translate requirements into clear technical tasks
- Experience with AI development tools
- Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.
Benefits
- Eligible for a bonus
- Restricted stock units (RSUs)
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