Software Engineers, AI Security

permanent

Fully Remote

Only accepting applications from: United States

Design, implement, test and release end-to-end workflows for AI security product.
Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions.
Utilize AI, CUA agents, LLM’s, and agentic frameworks like ADK, Langchain.
Design and develop secure, scalable, multi-tenant software solutions for major cloud platforms like AWS and Azure.
Act as a technical expert and thought leader to influence product direction and engineering practices.
Drive continuous improvement in engineering processes, tooling, and operational reliability.
Collaborate with internal teams to produce software design and architecture.
Test and deploy applications and systems.
Revise, update, refactor and debug code.
Develop documentation throughout the software development life cycle.
Serve as an expert on applications and provide technical support.

Experience

10+ years of software engineering experience.
Expert-level ability with technologies such as Java, Spring Framework, REST and Microservices.
Familiar with AI tools and curious about MCP, A2A, Agentic frameworks.
Strong experience as a Java Engineer on security principles, cloud platforms (AWS, Azure, or Google Cloud), and containerization (Docker, Kubernetes).
Deep understanding of data structures, algorithms, and design patterns.
Hands-on experience with SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka.
Experience in managing application development, solution architecture, design, and delivery.
Experience with unit, functional and system integration testing.
Extensive understanding of agile methodologies like Scrum and Kanban.
Experience with Git (GitHub/GitLab), automatic deployments, continuous integration.
Hands-on experience using IntelliJ or Eclipse/My Eclipse IDE, Junit test cases, Maven/Ant.
Experience with AI development tools such as Amazon Q, Github Copilot, Cursor.
Familiarity with architectural patterns (event-driven, microservices, serverless) and trade-offs.