Customer Success Engineer

About Trantor:

Trantor is a technology services company focused on outsourced product development and digital re-engineering. Leveraging our CaptiveCoE™ engagement model, we operate as a seamless extension of our client’s teams to provide rapid scalability with predictable budgets. Founded in 2012, Trantor has worked with customers across Tech, FinTech, Media & Cybersecurity industries. We have centers in the US, India, Canada, and Costa Rica. We are consistently rated as the #1 employer in the region with the ability to attract and retain technical talent. Our commitment to excellence and impactful results has translated to long-term relationships and value for our clients and solution partners. 

Job Overview 

Customer Success & Technical Ownership

  • Establish a strong technical relationship with assigned enterprise customers and understand their business objectives, architecture, use cases, and deployment timelines.
  • Act as a trusted technical advisor throughout the customer lifecycle—from initial deployment through production and steady-state operations.
  • Partner with TAMs, Solution Engineers, Sales, and Professional Services to establish a clear understanding of customer requirements and success criteria.
  • Proactively identify technical risks, deployment gaps, adoption challenges, and opportunities to improve customer outcomes.
  • Maintain regular customer engagement to understand evolving requirements, provide guidance, and ensure continued product adoption.
  • Advocate for the customer internally and communicate recurring product challenges and enhancement opportunities to Product and Engineering teams.

Distributed Database & Solution Engineering

Understand complex distributed database architectures and how they integrate with enterprise applications and data platforms.
  • Work with customers to design and implement solutions aligned with their application, data, performance, and scalability requirements.
  • Support database deployments across cloud and hybrid environments.
  • Help customers evaluate and implement appropriate approaches for data ingestion, CDC, replication, high availability, disaster recovery, backup/restore, and observability.
  • Analyze application and database architectures to identify performance, scalability, reliability, and operational considerations.
  • Develop technical recommendations and implementation approaches that customers can execute in production environments.

Database Performance & Troubleshooting

  • Troubleshoot complex database and application issues across production and non-production environments.
  • Perform SQL query analysis, optimization, and query tuning.
  • Diagnose performance issues involving queries, data distribution, workload patterns, resource utilization, networking, and application integration.
  • Work with customer engineering teams to identify root causes and implement sustainable solutions.
  • Serve as the first technical point of escalation for customer issues and coordinate with Engineering, Product, Support, and Professional Services when deeper expertise is required.
  • Ensure customer issues are driven to resolution within agreed timelines and expectations.


Cloud & Data Ecosystem

  • Work with technologies commonly found in modern enterprise data environments, including:
  • SQL and relational databases
  • Distributed databases and NoSQL technologies
  • Kafka and other data-ingestion technologies
  • Cloud storage such as S3
  • CDC and replication technologies
  • Kubernetes and containerized environments
  • Monitoring and observability platforms such as Datadog and Grafana
  • Public, private, and hybrid cloud environments
  • Networking, security, encryption, backup, HA, and DR technologies
 
Customer Enablement

Educate customers on product capabilities, architecture, best practices, and operational considerations.
Conduct technical workshops, knowledge-transfer sessions, and enablement activities as required.
Create high-quality technical documentation, solution guidance, and other customer-facing technical assets.
Help customer teams become self-sufficient in operating and optimizing their SingleStore environment.
Identify opportunities to increase adoption and expand the use of the platform based on customer requirements.

Cross-Functional Collaboration

  • Work closely with TAMs, Solution Engineers, Sales, Professional Services, Support, Product, and Engineering to deliver a consistent customer experience.
  • Coordinate internal resources to resolve complex customer issues and deliver against customer commitments.
  • Provide structured customer feedback to Product and Engineering teams.
  • Contribute to internal best practices and reusable technical assets based on customer engagements.

Mandatory Skills

  • 6+ years of experience in customer-facing technical, consulting, technical support, solutions engineering, or customer success roles.
  • Strong hands-on experience with distributed databases and complex data platforms.
  • Deep understanding of relational databases, SQL, database architecture, and query optimization.
  • Strong hands-on SQL experience, including query analysis and performance tuning.
  • Experience working with complex enterprise applications and distributed systems.
  • Strong understanding of Linux and cloud environments.
  • Experience with several technologies across the modern data ecosystem, such as:
    • MySQL, PostgreSQL, MS SQL, Oracle, or other relational databases
    • NoSQL / Key-Value databases
    • Kafka
    • Cloud storage such as S3
    • CDC and replication
    • Kubernetes
    • Observability / monitoring platforms
    • Backup, restore, HA, and DR
  • Understanding of cloud networking, security, encryption, and enterprise infrastructure.
  • Working knowledge of Python or another scripting language is desirable.
 
Customer & Consulting

  • Proven experience working directly with enterprise customers, preferably in international/global environments.
  • Demonstrated ability to manage technical customer escalations and drive issues through resolution.
  • Ability to translate complex technical problems into clear recommendations and actionable plans.
  • Strong consulting and problem-solving skills.
  • Ability to communicate effectively with both front-line technical teams and senior/executive stakeholders.
  • Strong presentation, written, and verbal communication skills.
  • Ability to work independently while coordinating effectively across multiple internal teams.
  • Strong customer-first mindset and ownership of customer outcomes.
 


Job Category: Amazon S3 Backup CDC Cloud Environments Cloud Networking Database Architecture Disaster Recovery (DR) Distributed Databases Encryption Enterprise Infrastructure High Availability (HA) Kafka Key-Value Databases Kubernetes Linux Monitoring MS SQL MySQL NoSQL Observability Oracle PostgreSQL Python Query Optimization Relational Databases Replication Restore Security SQL
Job Type: Full Time
Job Location: Remote
Shift Timing: 6:30 PM to 3:30 AM IST

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