About TresVista and Descrial

TresVista is a global platform providing sophisticated solutions to clients combining domain expertise, technology, and human capital. Our unique model allows clients to achieve excellence through embracing best in class AI and human capital with an offshore resource model. Descrial, the dedicated technology product unit, is at the forefront of innovation leveraging AI and intelligent automation to build workflow-native solutions.

Our approach goes beyond traditional product development, integrating design research, data engineering, and applied AI to build solutions that are scalable, evidence-based, and user-centric. For experienced product leaders and technologists. Descrial offers the opportunity to define next-generation tools that transform how investment professionals interact with data and make decisions.

Descrial is focused on building solutions delivering smarter and faster ways to conduct diligence, analysis, and make investment decisions.

Overview

As a Backend Support Engineer on the OS and Workflow+ team, you will maintain and support the Java/Spring Boot microservices that power the core Descrial platform — including work requests, user management, collaboration, notifications, integrations (D365, Darwinbox), document management, and scheduling. You will triage production issues, debug service interactions, monitor system health via Grafana dashboards, and work closely with development teams to resolve incidents and improve reliability.

Roles and Responsibilities

Production support and incident management

Triage, diagnose, and resolve production issues across the Spring Boot microservices





Debug inter-service communication issues across Spring Cloud Gateway and OpenFeign-based synchronous calls

Investigate data-layer issues across polyglot persistence stores — PostgreSQL, MongoDB, and Elasticsearch

Coordinate with development teams for root cause analysis and permanent fixes; contribute to hotfixes when appropriate

Monitoring, ing, and observability

Build and maintain Grafana dashboards using Prometheus metrics exposed via Spring Boot Actuator and Micrometer

Configure and tune s in Grafana for service-level SLIs (latency, error rate, saturation) and business-critical workflows (e.g. internal user assignment flows, D365 sync)

Analyze structured logs (Logstash JSON encoder / Logback) and distributed traces for incident investigation

Monitor AWS SQS/SNS message queues (notification of fan-out, feedback events) for dead-letter build-up and processing delays

Cloud infrastructure and DevOps

Support services deployed on AWS (ECS/EKS-style containers); debug container health, networking, and resource constraints

Work with AWS services: S3 (document storage), SQS/SNS (async messaging), SES (email), Cognito (auth), Secrets Manager, and SSM Parameter Store

Assist with CI/CD pipelines (GitHub Actions, Gradle 8.3, JaCoCo/SonarQube quality gates); investigate and resolve build/test failures





Support Docker Compose and Kubernetes deployments across dev, QA, UAT, and production environments

Database and schema support

Troubleshoot query performance issues in PostgreSQL and MongoDB; review slow-query logs and execution plans

Support schema migrations via Flyway and Liquibase; validate migration scripts in staging before production rollout

Prerequisites

1–3 years in backend support or development; strong Java and Spring Boot fundamentals

Hands-on experience with PostgreSQL and at least one NoSQL database (MongoDB preferred)

Working knowledge of RESTful APIs, JSON, and microservice communication patterns (Feign/REST clients)

Proficiency with Grafana dashboards, Prometheus metrics, and configuration

Experience with AWS services (S3, SQS, SNS, ECS/EKS, CloudWatch)

Familiarity with Git, Linux, Docker, and CI/CD pipelines

Robust debugging and log analysis skills; comfort with structured logging and distributed tracing

Good to Have

Experience with Spring Cloud Gateway, Elasticsearch, or ShedLock

Exposure to Kubernetes (kubectl, pod debugging, service DNS)

Familiarity with OAuth2/JWT auth flows and AWS Cognito

Knowledge of Microsoft Graph API or Dynamics 365 integrations

Experience

1–3 years in backend support or development; strong Java and Spring Boot fundamentals

Education

Bachelor’s in engineering or related (or equivalent experience from a strong technical background)

Compensation

The compensation structure will be as per industry standards

Java, Springboot, Microservices, API, Rest API, PostgrSQL, MongoDB, Grafana, Prometheus, AWS, Amazon S3, Kubernetes

📌 Analyst (Bengaluru)
🏢 TresVista
📍 Bengaluru