About the Role :
We are seeking a Senior Backend Engineer to architect and scale the Core Systems of Perceive Now the trust kernel powering our 25-layer validation and reasoning pipeline. You will design deterministic, auditable microservices that guarantee data integrity, lineage, and reliability across distributed workflows.
Responsibilities :
- Design and implement microservices and APIs using Python (FastAPI, SQLAlchemy, Pydantic) to manage evidence ingestion, validation, and lifecycle events.
- Build event-driven, deterministic replay systems using Temporal or Argo Workflows, ensuring fault tolerance and audit reproducibility.
- Implement data lineage and rollback mechanisms for full-stack traceability and compliance with SOC 2 / GDPR standards.
- Optimize system performance and achieve sub-second evidence retrieval across multi-tenant architectures.
- Collaborate with Data Fabric, Workflow, and Governance teams to embed validation checkpoints and transactional integrity.
- Instrument OpenTelemetry for distributed tracing, metrics, and observability across Perceive Now services.
- Define and enforce coding standards, CI / CD pipelines, and schema versioning to ensure consistent delivery.
Required Qualifications :
6+ years of backend engineering experience with 3+ years in distributed or microservice architectures.Advanced proficiency in Python, FastAPI, PostgreSQL, Redis, async I / O, and related backend frameworks.Deep understanding of event-driven systems, data validation pipelines, and transactional integrity.Experience working with Temporal / Argo, OpenTelemetry, or similar workflow orchestration tools.Familiarity with IaC tools such as Terraform / Helm for cloud deployments (Azure preferred).Excellent debugging, profiling, and optimization skills for high-throughput systems.Preferred Skills :
Experience implementing deterministic replay engines and lineage tracking.Knowledge of OPA / Rego for policy enforcement and Prometheus / Grafana for monitoring.Exposure to data-governance frameworks or evidence-based AI systems is a plus.Key Performance Metrics :
Evidence retrieval < 300 ms @ P95 latencyDeterministic replay accuracy ? 99.5 %100 % CI test coverage for all core services(ref : hirist.tech)