Site Reliability Engineer

SymphonyAI; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

SymphonyAI Financial Services seeks a Site Reliability Engineer to ensure reliability, performance, and availability of our SaaS offerings in Bangalore. You will collaborate with engineering and customer success to manage incidents and drive service improvements.

Responsibilities include monitoring SaaS environments, leading incident management, and executing ITIL-aligned changes and problem resolution with DataDog and PagerDuty for proactive reliability.

Qualifications

• Experience managing incidents and problems in SaaS environments.
• Strong troubleshooting and service reliability mindset.
• Collaborates effectively with engineering and customer-success teams.

Responsibilities

• Monitor SaaS environments for health, high availability and performance.
• Investigate and resolve incidents within SLA; participate in RCAs.
• Manage ITIL-aligned change, incident and problem processes; drive improvements.
• Use observability tools to proactively detect degradation and respond.

Skills

Incident management

SRE mindset

Team collaboration

Tools

Azure

AWS

Kubernetes

AKS

PostgreSQL

Oracle

DataDog

PagerDuty

ITIL

Job description

Job Title

Site Reliability Engineer

Location

Bangalore, India

About SymphonyAI Financial Services

SymphonyAI Financial Services is a leading provider of AI-driven solutions designed to enhance decision-making and operational efficiency in the financial sector. Our team is committed to delivering exceptional SaaS solutions that meet our clients' reliability, performance, and availability needs.

Overview

We seek a Site Reliability Engineer to join our SymphonyAI Financial Services team in Bangalore. As a key member of the team, you will be responsible for ensuring the reliability, performance, and availability of our SaaS solutions. You will work closely with engineering and customer success teams to provide world-class support, manage incidents, and drive continuous service improvements. Your role will be pivotal in maintaining high service standards and enhancing client satisfaction.

Job Description

Key Responsibilities

Monitoring and Maintenance

• Monitor and maintain the health of SaaS environments, ensuring high availability and optimal performance.

Incident and Problem Management

• Investigate and resolve incidents, problems, and service requests within agreed SLAs to maintain client service standards.
• Participate in root cause analysis and post-incident reviews for major outages, contributing to service improvement strategies.

Change Management

• Implement and manage changes to cloud environments following ITIL best practices, ensuring compliance with industry standards.

Proactive Service Management

• Utilize observability and monitoring tools like DataDog and PagerDuty to identify and respond to service degradations proactively.

Requirements

Cloud Expertise

• Hands-on experience with Azure (preferred) and/or AWS cloud platforms.

Database Skills

• Hands-on experience in PostgreSQL and Oracle administration and optimization.

Containerization Knowledge

• Experience with Kubernetes and Azure Kubernetes Service (AKS).

Tool Proficiency

• Proficiency in observability and incident response tools like DataDog and PagerDuty.

ITIL Familiarity

• Familiarity with ITIL processes, particularly Incident, Problem, Change, and Service Request Management.

Managed Services Experience

• Experience working in Managed Services or SaaS Support environments.

Diversity & Inclusion Statement

We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.