Delivery Lead-SRE

Acuity Analytics; Bengaluru; On-site; INR 2,400,000 - 3,800,000; Full time

Job summary

Acuity Analytics seeks a Site Reliability Engineer to safeguard reliability and resilience of critical platforms. You will build observability, automate toil, and partner with engineering for production readiness across batch cycles and live trading services.

Ideal for experienced engineers with strong Linux, cloud, and container expertise, focusing on end-to-end observability and incident response in a capital markets environment.

Qualifications

• Experience with end-to-end reliability engineering for critical systems.
• Strong observability, monitoring, alerting and incident management skills.
• Exposure to cloud platforms (AWS/Azure) and Linux fundamentals.
• Hands-on scripting and automation for CI/CD and IaC.

Responsibilities

• Define service-health metrics, monitoring, alerting and dashboards.
• Support incident response, problem management and post-incident reviews.
• Identify and remediate reliability, performance and resilience risks.
• Monitor batch/EOD cycles and time-critical processes for failures.
• Engineer automation to reduce toil and improve MTTR.
• Collaborate with engineering to improve production readiness before release.
• Contribute to SLI/SLOs and error-budget management.
• Support Kubernetes-based platforms and platform reliability.

Skills

Observability

Prometheus

Grafana

ELK

Datadog

Dynatrace

AppDynamics

SRE practices

Incident management

Automation scripting

Python

Bash/PowerShell

CI/CD

Infrastructure as code

AWS

Azure

Linux

Kubernetes

Docker

Batch processing

Disaster recovery

Education

Bachelor’s / Master’s degree

Tools

Docker

Kubernetes

Autosys

PagerDuty

Kafka

MQ

Datadog

Job description

We are seeking a Site Reliability Engineer to safeguard the reliability, observability and resilience of critical platforms supporting a Global Capital Markets platform-modernization program. The role ensures that Front

Office Trading systems and the emerging target-state services - spanning event-driven integration, data-lake /

Databricks platforms, reporting, migration and the front-to-back trade lifecycle for FX Cash, Cleared IRS and future products - run reliably across the trading day and its critical batch cycles. The ideal candidate blends strong engineering with an operations mindset, automating toil, engineering for resilience, and improving supportability before services reach production.

Key responsibilities

• Define and implement service-health metrics, monitoring, alerting and dashboards to provide end-to-end observability.
• Support incident response, problem management and operational readiness, including root-cause analysis and post-incident reviews.
• Identify and remediate reliability, performance and resilience risks across critical trading and post trade services.
• Monitor batch / EOD cycles and time-critical processes, detecting failures, delays and job / queue issues early.
• Engineer automation to reduce operational toil (self-healing, runbooks, scheduling) and support capacity planning and performance tuning & and improve MTTR.
• Partner with engineering teams to improve supportability, deployment safety and production readiness before release.
• Contribute to SLIs / SLOs, error-budget management and continuous improvement of operational resilience and BCP.
• Support Kubernetes-based platforms including monitoring cluster health, workload performance and platform reliability.
• Bachelor’s / Master’s degree with 8+ years in SRE / production-engineering / DevOps roles supporting business-critical, high-availability systems.
• Strong observability skills — monitoring, alerting and dashboards using tools such as Prometheus/Grafana, ELK, Splunk, Datadog, Dynatrace, AppDynamics or Cloud-native monitoring platforms.
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• Incident and problem management experience, including on-call, escalation and RCA; scheduling tools (e.g., Autosys) and alerting (e.g., PagerDuty).
• Automation and scripting (Python / Bash / PowerShell), with CI/CD and infrastructure-as-code familiarity.
• Cloud experience (AWS and/or Azure), strong Linux fundamentals, and understanding of resilience, performance and capacity engineering.
• Strong analytical, communication and cross-team collaboration skills, with attention to detail.
• Understanding of disaster recovery (DR), high availability (HA), failover mechanisms and resilience engineering practices.

Preferred qualifications

• Experience defining and operating against SLIs / SLOs and error budgets.
• Exposure to containers / orchestration (Docker / Kubernetes) and streaming / event-driven platforms (Kafka / MQ).
• Prior experience in Capital Markets or financial services, including awareness of settlement and stress-test batch processing.