Staff backend engineer – python / sql / data-intensive systems

Position: Staff Backend Engineer – Python / SQL / Data-Intensive Systems

Location: Hyderabad

Work Mode: Hybrid

We are looking for a Senior Staff Backend Engineer to own the core computation services powering a data-intensive financial and operational platform. This is a hands-on technical leadership role focused on building correct, reproducible, traceable, and auditable computation systems not dashboards or LLM wrappers.

Role:

Own backend services performing complex financial and operational computations Build reusable, configuration-driven computation components and rules engines Design high-performance, set-based computation using advanced SQL Ensure every result is reconcilable, reproducible, and traceable to source Build configuration runtimes that enable new domains/use cases without bespoke code paths Implement guardrails, audit logging, lineage, feature controls, and confidence signals Design for multi-tenant, multi-cloud and customer-hosted deployments with strong isolation Set engineering patterns, review designs and mentor backend engineers Partner with Data, AI and Product teams to translate complex domain logic into scalable services

Technical Skills:

Python | SQL | Snowflake | Postgre SQL | Docker | Kubernetes | Terraform Experience with configuration-driven/rules-engine architectures and large-scale data computation is highly valued.

Experience:

8+ years of backend engineering experience with significant Staff/Senior Staff-level ownership Strong expertise in Python, Go, Java or similar backend technologies Elite SQL skills — window functions, complex joins, data modeling and performance optimization Proven experience building data-intensive, configuration-driven service architectures Strong system design expertise across reliability, scalability, isolation and reproducibility Deep focus on correctness, testing, traceability and auditability

Good to have Experience with financial/accounting systems, regulated environments, dbt, Snowflake, Postgre SQL, multi-tenant Saa S, customer-hosted platforms, ML/statistical workflows or LLM integrations.

You'll own the engineering layer behind numbers that may sit alongside externally reported financials. Correctness is non-negotiable: every result must be explainable, reproducible and auditable.

We're looking for a hands-on senior engineer who enjoys solving difficult backend, data and computation problems at scale.

Please share your profile to Praveen. B@ or Ravikanth. T@