About Trantor

Trantor is a global technology services and engineering company specializing in delivering high-impact Qualified Services, Customer Success, and Engineering solutions for leading enterprise software companies. Our consultants partner with some of the world's most innovative technology organizations to help customers successfully deploy, adopt, and maximize the value of their platforms.

We are looking for a highly skilled Implementation Engineer to join our team and support customers globally. This is a customer-facing consulting role where you will deploy and optimize database environments, implement AI-powered solutions, and act as a trusted technical advisor throughout the customer lifecycle.

Role Overview

As a Forward Deployed Engineer, you will work directly with enterprise customers to design, deploy, configure, and optimize Helios (Managed Service) and Self-Managed clusters across cloud and on-premises environments.

You will also lead the implementation of Aura Analyst, AI-powered conversational analytics tool, that transforms plain-English questions into precise SQL queries.

This role combines technical implementation, architecture consulting, customer engagement, and AI adoption. The ideal candidate is equally comfortable leading executive discussions, conducting technical workshops, and performing hands-on deployments.

Key Responsibilities

Customer Deployment & Implementation

- Deploy, configure, and optimize Helios environments for enterprise customers.
- Install, configure, and support Self-Managed clusters across cloud and on-premises infrastructure.
- Perform cluster sizing, architecture design, upgrades, migrations, and production readiness assessments.
- Configure high availability, disaster recovery, backup, security, and performance optimization.
- Troubleshoot complex infrastructure, database, and deployment issues.

Aura Analyst Implementation

- Deploy and configure Aura Analyst for enterprise customers.
- Integrate Aura Analyst with customer datasets and enterprise workflows.
- Enable customers to leverage natural language queries and AI-powered analytics.
- Validate AI outputs, optimize prompts, and support customer adoption.
- Collaborate with Product and Engineering teams by providing implementation feedback and product improvement recommendations.





Technical Consulting

- Serve as the primary technical advisor during customer implementations.
- Lead discovery sessions, technical workshops, and architecture reviews.
- Translate business objectives into scalable technical solutions.
- Recommend best practices for deployment, performance, scalability, and security.
- Produce high-quality technical documentation and implementation guides.

AI & Automation

- Leverage AI tools to accelerate deployments, troubleshooting, documentation, and knowledge sharing.
- Develop automation scripts to simplify repetitive deployment and operational tasks.
- Utilize modern AI coding assistants and productivity tools to improve engineering efficiency.
- Stay current with advancements in Large Language Models (LLMs), AI agents, and enterprise AI technologies.

Customer Success

- Build trusted relationships with customer stakeholders, architects, and engineering teams.
- Drive successful implementations while ensuring an exceptional customer experience.
- Mentor customer teams through knowledge transfer sessions and operational best practices.
- Collaborate with Customer Success and Support teams to ensure seamless project handoffs.

Required Qualifications

- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
- 8+ years of experience in Professional Services, Solutions Engineering, Customer Engineering, Forward Deployed Engineering, or Technical Consulting.
- Experience deploying enterprise software solutions in customer environments.
- Experience with distributed SQL databases such as PostgreSQL, CockroachDB, YugabyteDB, MySQL, or similar technologies.
- Database administration and performance tuning experience.
- Data ingestion and ETL pipelines.
- Monitoring platforms such as Grafana, Prometheus, or Datadog.
- Infrastructure as Code using Terraform or Ansible.
- CI/CD pipelines and DevOps practices.




- Strong Linux system administration skills.
- Experience with AWS, Microsoft Azure, or Google Cloud Platform.
- Hands-on experience with Kubernetes and containerized applications.
- Strong networking fundamentals, including DNS, TLS/SSL, firewalls, and load balancing.
- Experience with Python, Bash, or other scripting languages.
- Familiarity with REST APIs and enterprise integrations.
- Excellent troubleshooting and analytical skills.

AI & Modern Technology Skills The ideal candidate should be comfortable working with AI technologies and incorporating them into day-to-day engineering workflows.

Preferred experience includes

- Hands-on use of AI tools such as ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, Windsurf, or similar platforms.
- Knowledge of Model Context Protocol (MCP) and its role in enabling AI assistants to securely interact with enterprise databases, APIs, development tools, and business applications.
- Using AI to improve implementation quality, scripting, troubleshooting, documentation, and customer enablement.
- Understanding of:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents and MCP (Model Context Protocol)
- Vector Databases and Embeddings
- Experience implementing AI-powered enterprise applications is highly desirable.

Consulting & Communication Skills This role requires outstanding customer-facing abilities.

The ideal candidate will possess:

- Exceptional verbal and written communication skills.
- Strong presentation and executive communication capabilities.
- Excellent consulting and stakeholder management skills.
- Ability to simplify complex technical concepts for both technical and non-technical audiences.
- Strong business acumen and customer-first mindset.
- Experience leading customer workshops and architecture discussions.
- Excellent problem-solving and analytical thinking skills.
- Ability to manage multiple customer engagements simultaneously.

Preferred Qualifications

- Experience delivering Professional Services engagements.
- Exposure to enterprise analytics platforms.
- Cloud certifications (AWS, Azure, or GCP).
- Kubernetes certification is a plus.
- Experience supporting Fortune 500 or enterprise customers.

📌 Implementation Engineer (India)
🏢 Trantor
📍 India