Job Title :: Site Reliability Engineer

Location :: Bengaluru (Hybrid, 2-3 days onsite in a week)

Minimum relevant years of experience :: 10+ Years

Role Overview

• We are recruiting multiple SRE Engineers to embed directly within engineering teams. These engineers will become expert practitioners of the systems they support — understanding how they are built, how they behave in production, and how to troubleshoot them forensically when issues arise. This is a hands-on, technical role that demands both engineering rigour and operational instinct.

Key Responsibilities

• Embed within engineering squads to build deep system knowledge — understanding architecture, data flows, failure modes, and dependencies.
• Instrument systems with comprehensive observability — metrics, logs, traces, and alerting — to provide a full forensic picture of production behaviour.
• Participate in on-call rotas and lead technical incident response, using structured troubleshooting and tooling to diagnose and resolve production issues rapidly.
• Proactively identify reliability risks and work with engineering teams to address them before they impact production.
• Build and maintain runbooks, playbooks, and diagnostic tooling to support efficient incident management.
• Monitor system performance continuously, validating both infrastructure health and functional correctness of data pipelines and application behaviour.
• Support the SRE Lead in establishing team-wide standards for monitoring, alerting, and incident response.

Essential Skills & Experience

• Solid software engineering or platform engineering background with production operations experience.
• Hands-on experience with observability and monitoring tooling (e.g. Datadog, Grafana, ELK stack, Prometheus, or equivalent).
• Experience troubleshooting complex distributed systems — strong diagnostic skills and methodical approach to incident investigation.
• Comfortable reading and understanding application code as well as infrastructure configuration.
• Experience working in Agile engineering teams with shared ownership of reliability outcomes.

Desirable / Nice-to-Have

• Experience in financial services, particularly with data-intensive or calculation-heavy systems (e.g. index calculation, pricing engines, market data pipelines).
• Familiarity with AI-assisted diagnostic tools or agentic troubleshooting workflows.
• Knowledge of data ingestion patterns and how to validate the accuracy and completeness of processed data.
• Experience writing tooling or automation to improve operational workflows and reduce toil.

About Ascendion:

• Ascendion is transforming the future of technology with AI-driven software engineering.
• Our global team accelerates innovation and delivers future-ready solutions for some of the world’s most important industry leaders.
• Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients.
• Join us to build transformative experiences, pioneer cutting-edge solutions, and thrive in a vibrant, inclusive culture - powered by AI and driven by bold ideas.