Product Support Engineer (India)

Product Support Engineer (India)

03 Aug
|
Datavail
|
India

03 Aug

Datavail

India

Job Title: Engineer - AWS, Azure, GCP, AKS

Experience: 6+ Years

Education: Any Graduate

Location: Mumbai

Job Description

Role Overview

This role acts as the critical operational bridge between:

- The in-house monitoring product development and QE team(s),

- Internal ITSM/ticketing teams using ServiceNow,

- Multiple enterprise DBA organizations across:

- Oracle Database

- Open-source database platforms (MySQL, PostgreSQL, MongoDB, Cassandra, etc.)

- Microsoft SQL Server

Key Responsibilities

Production Operations & Monitoring Support

- Provide operational ownership and production support for the in-house enterprise monitoring platform.

- Monitor health, performance, alerting quality, and operational stability of monitoring services.

- Analyze monitoring gaps, false positives, missed alerts, and operational inefficiencies.

- Ensure monitoring coverage across Oracle, Open-source, and SQL Server database environments .

Incident & Escalation Management

- Act as the operational point-of-contact during production incidents involving monitoring failures, alerting gaps, or infrastructure issues.

- Coordinate incident triage across:

- DBA teams,

- Monitoring development teams,

- Infrastructure teams,

- Service management teams.

- Drive bridge calls and ensure effective stakeholder communication during critical outages.

- Perform root cause analysis (RCA) and post-incident operational reviews.

ServiceNow & Ticket Workflow Coordination

- Work with ServiceNow for:

- Operational escalations,

- Service requests.

- Review ticket quality and ensure operational accuracy of issue classification and routing.

- Improve ticket workflows between DBA teams and monitoring platform support teams.

- Collaborate with internal support organizations to streamline escalation processes.

Cross-Functional DBA Collaboration

- Collaborate closely with enterprise DBA teams supporting:

- Oracle Database

- MySQL

- PostgreSQL

- MongoDB

- Apache Cassandra

- Microsoft SQL Server





- Cloud services (AWS, AZURE, GCP)

- Understand operational monitoring requirements specific to each database technology.

- Work with DBAs to validate alert thresholds, event correlation, and monitoring accuracy.

- Serve as the operational liaison between DBAs and monitoring team developers and QE.

Operational Excellence & Reliability Engineering

- Identify recurring operational pain points and recommend automation opportunities.

- Improve alert quality, event correlation, and monitoring reliability.

- Participate in operational readiness reviews for new monitoring features.

- Help define operational standards, playbooks, and escalation procedures.

Monitoring & Observability Engineering

- Support enterprise observability initiatives involving:

- Metrics,

- Events,

- Alerting,

- Dashboards,

- Health monitoring,

- Incident correlation.

- Work with both commercial and in-house monitoring systems.

- Analyse operational telemetry to identify systemic reliability concerns.

DevOps & CI/CD Enablement

- Collaborate with engineering teams to improve CI/CD pipelines.

- Implement deployment strategies (blue-green, canary, rolling updates).

- Advocate for reliability-focused design patterns.

Security & Compliance

- Ensure infrastructure adheres to security standards and compliance requirements.

- Participate in vulnerability assessments and remediation.

Required Technical Skills

- Strong production support and operations experience in enterprise environments.

- Strong experience with cloud platforms (AWS, Azure, or GCP).





- Expertise in monitoring & observability tools (e.g., Prometheus, Grafana, Datadog, or in-house tools).

- Working knowledge of:

- ServiceNow

- Incident workflows,

- Escalation management,

- Operational support models.

- Exposure to database technologies including:

- Oracle Database

- Microsoft SQL Server

- MySQL

- PostgreSQL

- NoSQL ecosystems preferred.

- Solid understanding of:

- Linux systems,

- Infrastructure monitoring,

- Alerting concepts,

- Production operations.

- Experience supporting 24x7 enterprise production environments.

Preferred Qualifications

- Experience working with in-house monitoring or observability product teams.

- Familiarity with SRE/DevOps operational practices.

- Exposure to enterprise event management systems.

- Knowledge of automation/scripting (Python, Shell, PowerShell).

- Experience handling high-severity production incidents.

Critical Non-Technical Skills

An ideal candidate must demonstrate:

Operational Intuition

- Ability to detect operational anomalies early.

- Solid troubleshooting instinct and pattern recognition.

- Fearless Communication

- Ability to speak confidently during incidents and escalations.

- Comfortable engaging senior stakeholders and multiple technical teams.

- Cross-Team Collaboration

- Ability to coordinate effectively across DBA teams, support organizations, and development groups.

- Calmness Under Pressure

- Structured decision-making during high-severity incidents.

- Ownership Mindset

- Drives issues to closure rather than relying solely on assigned ownership boundaries.

- Investigative Curiosity

- Continuously analyses why operational failures occur and how they can be prevented.

Preferred Qualifications

- Certifications in cloud platforms (AWS/Azure/GCP).

- Familiarity with SRE/DevOps operational practices.

- Exposure to enterprise event management systems.

- Knowledge of automation/scripting (Python, Shell, PowerShell).

📌 Product Support Engineer (India)
🏢 Datavail
📍 India

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