High-Risk System Engineer

22 hours ago

Nellore, Andhra Pradesh, India beBeeEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: High-Risk System Engineer

We are seeking a highly skilled High-Risk System Engineer to join our team. This role is critical in ensuring the stability, scalability, and operational excellence of financial platforms.

The ideal candidate will have extensive experience in Site Reliability Engineering, DevOps, or Production Engineering, ideally supporting financial or mission-critical applications. Strong knowledge of monitoring/observability tools, automation frameworks, and IaC tools is required. Familiarity with Snowflake, dbt, and financial system integrations from an operational support perspective is also necessary.

Responsibilities include:

  • Operational Oversight: Ensure day-to-day operations for Accounting and Finance applications and data platforms run smoothly and meet business expectations.
  • Reliability & Availability: Guarantee Accounting and Finance platforms meet defined SLAs, SLOs, and SLIs for performance, reliability, and uptime.
  • Automation & Efficiency: Build automation for deployments, monitoring, scaling, and self-healing capabilities to reduce manual effort and operational risk.
  • Incident Response: Lead and participate in on-call rotations, perform root cause analysis, and drive improvements to prevent recurrence of production issues.

To be successful in this role, you will need:

  • 12-15 years of experience in Site Reliability Engineering, DevOps, or Production Engineering.
  • Strong experience with monitoring/observability tools (Datadog, Prometheus, Grafana, Splunk, or equivalent).
  • Hands-on expertise with CI/CD pipelines, automation frameworks, and IaC tools (Terraform, Ansible, GitHub Actions, Azure DevOps, etc.).
  • Familiarity with Snowflake, dbt, and financial system integrations from an operational support perspective.
  • Proven ability to manage incident response and conduct blameless postmortems.

Nice to Have:

  • Experience supporting financial applications (ERP, revenue recognition systems, accounting platforms).
  • Exposure to FinOps practices for optimizing cloud spend in finance-related platforms.
  • Familiarity with containers and orchestration (Docker, Kubernetes).
  • Experience building resilience into data pipelines and ensuring auditability for accounting data.

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