Principal Software Engineer, AI Onboarding

WHAT YOU WILL BE DOING

Design, implement, test and release e2e workflows for our AI security product

Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions, using cloud, SAAS and AI design patterns and technologies.

Use AI and Agents to secure AI, using CUA agents, various LLM’s , agentic frameworks like ADK, Langchain among others.

Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and Azure

Act as a technical expert and thought leader, influencing product direction and engineering best 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

Ability to start a program from scratch as well as maintain existing services

Develop documentation throughout the software development life cycle

Serve as an expert on applications and provide technical support

Follow the true agile principles

WHAT YOU BRING

1+ year of experience as a Principal Software Engineer

Expert-level ability utilizing technologies such as Java, Spring Framework, REST and Microservices

Familiar with AI tools and curious about MCP, A2A, Agentic frameworks. Have a continuous learning mindset and not hesitate to venture into unchartered territory.

Ability to perform research and go deep into platforms is a strong plus.

Strong Experience as a Java Engineer developing applications based 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 increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvement

Experience with unit, functional and system integration testing

Extensive understanding of working in an agile environment utilizing Scrum and Kanban

Experience with Git (GitHub/GitLab), automatic deployments, continuous integration

Hands on experience using IntelliJ or Eclipse/My Eclipse IDE, writing Junit test cases, working with Maven/Ant

Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants.

Familiarity with various architectural patterns (e.g., event-driven, microservices, serverless) and their trade-offs