Engineer, SRE

1 week ago


Hyderabad, Telangana, India Talent500 Full time

Talent500 is hiring for one of its clients.

About Talent500:

Talent500 is the go-to premium destination for the best global job opportunities at Global Capability Centres or GCCs in India.

We believe in opportunities favoring the bold and thus, we help the best tech and non-tech talent find their dream jobs at renowned companies that leads to a transformative experience career wise. Talent500 is a part of ANSR. ANSR Global is trusted by industry leaders across the globe – from Fortune 500 companies and larger enterprises to some of the world's fastest growing Startups.

About the Role:

Engineer, SRE - Accounting Tech

The Engineer, Site Reliability (SRE) will play a critical role in ensuring the stability, scalability, and operational excellence of Accounting and Finance platforms. This role is focused on delivering highly reliable financial applications and data services, ensuring they meet the demanding requirements of accuracy, compliance, and availability that support business operations.

As an SRE, you will build automation, implement monitoring, improve incident response, and champion DevOps practices that enable Finance and Accounting systems to operate with consistency and trustworthiness.

What You Will Do:

  • Reliability & Availability: Ensure 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.
  • Observability & Monitoring: Implement and maintain comprehensive monitoring, alerting, and logging for accounting applications and data pipelines (e.g., Snowflake, dbt workflows, ERP integrations).
  • Incident Response: Lead and participate in on-call rotations, perform root cause analysis, and drive improvements to prevent recurrence of production issues.
  • Operational Excellence: Establish and enforce best practices for capacity planning, performance tuning, disaster recovery, and compliance controls in financial systems.
  • Collaboration with Engineering & Finance: Partner with software engineers, data engineers, and Finance/Accounting teams to ensure operational needs are met from development through production.
  • Security & Compliance: Ensure financial applications and data pipelines meet audit, compliance, and security requirements.
  • Continuous Improvement: Drive post-incident reviews, implement lessons learned, and proactively identify opportunities to improve system resilience.

What You Will Bring:

  • Bachelor's in computer science, Engineering, Information Technology, or related field (or equivalent experience).
  • 3-5 years of experience in Site Reliability Engineering, DevOps, or Production Engineering, ideally supporting financial or mission-critical applications.
  • 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.
  • Strong scripting/programming experience (Python, Bash, Go, or similar) for automation and tooling.
  • Proven ability to manage incident response and conduct blameless postmortems.
  • Experience ensuring compliance, security, and audit-readiness in enterprise applications.

Must Have Skills:

  • Automation,
  • Operational Excellence,
  • Snowflake,
  • SQL,
  • Data Engineering,
  • Financial Systems

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.
  • Strong communication skills to articulate operational issues and risks to both technical and non-technical stakeholders.

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