1. Role & responsibilities

Position Summary As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to solution shaping, influencing product direction, and providing appropriate support when needed for clients post-deployment.

Must-have skills

Core Engineering & Architecture

- 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
- Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and up-to-date frameworks (React, Angular, or Next.js).
- Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
- Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
- Experience building and integrating REST APIs, microservices, and serverless architectures.
- Experience deploying applications on AWS, Azure, or GCP.
- Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

AI / GenAI Capabilities (Preferred, not mandatory)

- 1+ years of hands-on experience building and deploying Agentic AI/GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
- Understanding of AI system architectures and ability to align application pipelines to support them.

Client-Facing & Delivery Ownership

- Ability to independently own defined scope end-to-end with consistent,



high-quality output.
- Experience working directly with business stakeholders to translate requirements into technical solutions.
- Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
- Strong accountability and ownership mindset in achieving client outcomes.

Good-to-Have Skills

- Familiarity with cybersecurity domains (e.g., application security, cloud security, identity, detection engineering).
- Familiarity with product engineering environments
- Experience with DevSecOps practices and secure software development lifecycle.
- Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
- Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
- Cloud certifications (AWS, Azure, GCP).
- Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Work you will do: 1. Solution Delivery & Engineering

- Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
- Identify, troubleshoot, and resolve technical issues within scope

2. Technical Pre-Sales & Solution Shaping

- Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
- Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3. Product Feedback & Continuous Improvement

- Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
- Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

Education

- Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or a related field.

1. Shift Timing 9AM – 6PM

Mode of Work – Hybrid Opportunity

📌 Fullstack DeveloperH (Bengaluru)
🏢 Orcapod Consulting Services
📍 Bengaluru