Forward Deployed Engineer
N
NirmataCloud Native
Remote - USA/CanadaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSArtificial IntelligenceKubernetesProblem SolvingTerraformStrategic thinking
Requirements
- 4+ years of professional experience in engineering or technical consulting.
- Bachelor of Arts/Science or equivalent degree in Computer Science or a related area of study.
- Deep, hands-on experience with Kubernetes, containers, and container runtimes is mandatory.
- Knowledge of leveraging LLMs, (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques securely and optimally using LLMs within an Enterprise.
- Ability to implement agentic workflows incorporating Model Context Protocol (MCP), tool-calling, and OAuth-based authentication.
- Knowledge and expertise in cloud technologies like virtualization, public clouds like AWS, and experience with tools for provisioning cloud resources like Terraform.
- Proficiency in Linux OS administration and management.
- Experience with internal development platforms, including standardizing and securing multi-tenant environments.
- Strong communication skills are mandatory for presenting complex technical prognosis and impact to senior management.
- Ability to diagnose complex technical problems to their root cause in multi-technology environments.
- Essential customer relationship management and account planning skills to ensure alignment with customer priorities.
- Ability to adapt a consulting style appropriate to the situation and identify potential upsell opportunities during technical engagements.
- Ability to re-use existing experience to develop new solutions and shape technical strategies within the organization and for external customers.
Responsibilities
- Build working solutions against live production systems to demonstrate provable ROI and actual results tied to specific customer data and environments.
- Be an expert in Kubernetes and Nirmata solutions to build and run AI, as well as provide expertise to use Nirmata’s AI solutions to customer problems.
- Verify and implement detailed technical design solutions to address complex problems identified by customers, ensuring successful platform adoption.
- Lead key customer initiatives by understanding business implications and architecting solutions that meet operational, integration, and scaling requirements.
- Provide design and operational solutions for enterprise adoption of containers, including building necessary tools and automation.
- Gather field insights and provide clear, constructive product feedback to Nirmata Engineering teams based on real-world customer requirements.
- Manage technical escalations and educate customers with deep technical knowledge while documenting best practices for developing and deploying Nirmata solutions.
- Assist customers in defining, capturing, and documenting the actual financial value and ROI provided by Nirmata.
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