Software Development Engineer III - AI and Analytics

4 Months ago • 5 Years + • Research Development

Job Summary

Job Description

As a Senior Software Development Engineer (SDE III) specializing in Analytics and AI, you will collaborate with various teams to build innovative, AI-driven solutions to predict and prevent cyber breaches. Responsibilities include leading and mentoring developers, designing and deploying scalable AI solutions utilizing advanced AI techniques, architecting scalable microservices, integrating with cloud services (AWS), evaluating AI models, ensuring code quality, solving technical challenges, and collaborating with stakeholders. The role requires experience in AI/ML, cloud environments, and strong leadership skills.
Must have:
  • 5+ years of Senior or Lead Engineer experience.
  • Expertise in Python, NodeJS, or Go.
  • Strong hands-on experience with AI/ML.
  • Experience deploying AI technologies in production.
  • Familiarity with AWS Bedrock and its ecosystem.
  • Good understanding of SQL and NoSQL databases.
  • Experience deploying solutions in cloud environments.
  • Proficient in deploying containerized applications.
  • Exceptional leadership and communication skills.
Good to have:
  • Experience with Typescript and API frameworks (Express).
  • Knowledge of DevOps best practices and Infrastructure as Code.
Perks:
  • Unlimited vacation policy
  • High-trust work environment
  • Commitment to continuous learning

Job Details

At SAFE Security, our vision is to be the Champions of a Safer Digital Future and the Catalysts of Change. We believe in empowering individuals and teams with the freedom and responsibility to align their goals, ensuring we all move forward together.


We operate with radical transparency, autonomy, and accountability—there’s no room for brilliant jerks. We embrace a culture-first approach, offering an unlimited vacation policy, a high-trust work environment, and a commitment to continuous learning. For us, Culture is Our Strategy—check out our Culture Memo to dive deeper into what makes SAFE unique.


We’re looking for a seasoned Senior Software Development Engineer (SDE III) 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:
  • Technical Leadership: Lead and mentor developers, fostering a culture of innovation, quality, and continuous improvement.
  • 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.
  • 5+ years experience as a Senior or Lead Engineer 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 production environments.
  • 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 security—we want to hear from you! 🚀

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