Delivery Lead-SRE

Acuity Analytics; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Acuity Analytics is seeking a Site Reliability Engineer to safeguard reliability, observability and resilience of critical platforms underpinning a Global Capital Markets modernization program. You will help ensure Front Trading systems and target-state services run smoothly across trading days and batch cycles, balancing engineering with an operations mindset.

The role emphasizes automation, resilience engineering and improved supportability prior to production releases.

Qualifications

• Experience in SRE / production engineering / DevOps supporting high-availability systems.
• Strong observability using metrics, logs and traces across platforms.
• Incident management including on-call, RCA and post-incident reviews.
• Automation and scripting (Python / Bash / PowerShell) with CI/CD and IaC familiarity.
• Cloud experience (AWS and/or Azure) and Linux fundamentals.

Responsibilities

• Define and implement service-health metrics, monitoring, alerting and dashboards.
• Support incident response, problem management and operational readiness, including RCAs.
• Identify and remediate reliability, performance and resilience risks across trading and post-trade services.
• Monitor batch/EOD cycles and time-critical processes for failures and delays.
• Engineer automation to reduce toil and improve MTTR; support capacity planning.

Skills

Observability

Incident management

Automation

Cloud experience

Collaboration

Education

Bachelor’s / Master’s degree in a relevant field

Tools

Prometheus/Grafana

ELK/Splunk

Datadog

Dynatrace

AppDynamics

Job description

Job Purpose

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 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 & 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.

Key Competencies

• 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.


• 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.