Software Development Engineer II
5 days ago
We're looking for a seasoned
Software Development Engineer (SDE II)
with deep expertise in
Analytics and AI
to join our high-impact engineering team. In this role, you'll collaborate closely with Design, Product, and cross-functional stakeholders to build innovative analytics and AI-driven solutions that help
predict and prevent cyber breaches
.
Core Responsibilities
- AI & Analytics Development
: Design, build, and deploy scalable AI-driven analytics solutions, leveraging advanced AI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and foundational models. - Architecture
: Collaborate with cross-functional teams to architect scalable, secure, and performant AI-driven microservices. - Cloud and AI Integration
: Utilize cloud services (primarily AWS Bedrock, Lambda, EC2, S3, RDS) to develop efficient, robust, and scalable solutions. - Model Evaluation
: Implement and evaluate various AI models (e.g., OpenAI, Anthropic Claude, Amazon Titan), understanding trade-offs such as latency, cost, accuracy, and scalability. - Code Quality
: Ensure high-quality code through rigorous code reviews and continuous improvement processes. - Problem Solving
: Address complex technical challenges, identify root causes, and provide effective solutions. - Cross-team Collaboration
: Work closely with product managers, designers, and stakeholders to align technical solutions with business goals.
Essential Skills/ Qualifications/Experience
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 2 years of experience in software development roles, with expertise in Python, NodeJS, or Go.
- Strong hands-on experience with AI/ML, including Retrieval-Augmented Generation (RAG), AI Agents, and deploying these technologies into a production environment.
- Familiarity with AWS Bedrock and its AI model hosting ecosystem is highly advantageous.
- Experience with Typescript and API frameworks (Express) preferred.
- Good understanding of SQL and NoSQL databases.
- Demonstrable experience deploying scalable solutions in cloud environments (AWS preferred).
- Proficient in deploying containerized applications (Docker, Kubernetes, ECS.
- Knowledge of DevOps best practices and Infrastructure as Code (e.g., AWS CloudFormation) is beneficial.
- Exceptional leadership, communication, and mentoring skills.
- Proven capability to own features end-to-end in an agile, fast-paced environment.
If you're passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that's redefining securi
ty—we want to hear from y
ou
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