Burai

Database Administrator

• Own PostgreSQL architecture: Define canonical models, naming standards, schema evolution policies, and migration practices (DDL/DML) across microservices and multi tenant contexts.
• Design for performance: Build and tune complex relational schemas; optimize query plans (EXPLAIN/ANALYZE), indexes (btree, GIN/GiST, BRIN), partitioning strategies, and table storage parameters (fill factor, auto vacuum).
• Targeted denormalization: Identify and implement denormalized structures (e.g., materialized views, aggregate tables, wide rows) for read heavy paths while preserving write correctness in source of truth tables.
• Real time updates via triggers: Use PL/pgSQL triggers to maintain denormalized artefacts, propagate LISTEN/NOTIFY events, and invalidate/update cache entries (e.g., Redis) on writes, ensuring eventual consistency with predictable SLAs.
• Caching strategy ownership: Define cache keys, TTLs, and invalidation patterns; instrument cache hit ratios; integrate with API gateways and service layers to meet p95/p99 latency targets.
• API performance partner: Collaborate with backend leads to map DB access patterns to API contracts; propose read models (CQRS where useful) and precomputed projections for critical endpoints.
• Data governance & safety: Establish guardrails for PII, tenancy isolation, and GDPR compliance; implement row level security (RLS), schema level privileges, and audit trails.
• Resilience & HA: Design replication topologies (streaming/physical, logical), failover (Patroni, Aurora/RDS where applicable), backup/restore runbooks, point in time recovery (PITR), and disaster recovery drills.
• Observability: Instrument pg_stat_statements, pgBouncer, connection pooling, and slow query dashboards; set SLOs for throughput, replication lag, and API latency; drive weekly performance reviews.
• Data lifecycle: Plan archival/retention, hot/warm/cold storage tiers, and cost aware storage strategies; manage schema deprecation without breaking consumer contracts.
• Mentorship & leadership: Coach engineers on SQL craft, migration hygiene, and data access patterns; review designs and code; raise the bar on data quality and operational excellence.
• Cross functional alignment: Work closely with DevOps on infra choices (RDS/Aurora/Cloud SQL/Azure Database for PostgreSQL), capacity planning, and incident response; partner with Product on data driven outcomes.

Lead Database Architect, PostgreSQL, SaaS B2B

Backend Engineer

• Coach and up-level backend engineers through pairing, code reviews, design reviews, and practical mentorship (API design, testing strategy, performance, operational best practices).
• Establish and evolve backend engineering standards: TypeScript practices, architecture patterns, code quality, documentation, and production readiness.
• Lead technical discussions and produce clear written artifacts (design docs, ADRs, technical proposals) to make trade-offs visible and decisions durable.
• Identify skill gaps and run lightweight internal training sessions (workshops, examples, “how we do it” playbooks).
• Design, implement, and evolve highly scalable backend services using Node.js + TypeScript.
• Define service boundaries and data flows across microservices, queues, and event-driven workflows to support reliable scale.
• Improve “build → ship → operate” loops: CI/CD quality gates, safe rollouts, runtime resilience, and incident response habits.
• Own technical debt management: prioritize refactors that improve stability, developer experience, and delivery speed.
• Build and maintain robust REST APIs (versioning, backwards compatibility, pagination, documentation, authn / authz, rate limiting).
• Design and operate GraphQL APIs with strong schema discipline and performance safeguards (N+1 prevention, batching, caching patterns).
• Use Hasura effectively in production: permissions/roles, relationships, actions, event triggers, remote schemas—knowing when to lean on Hasura vs. custom Node services.
• Partner with product and frontend teams to ensure API contracts are clear, stable, and optimized for client usage.
• Drive API performance outcomes (p95/p99 latency) using caching, query optimization, and appropriate precomputation strategies.
• Implement and improve observability: metrics, traces, structured logs, dashboards, alerting, and SLO-driven improvements.
• Lead production incident response and follow-through: root cause analysis, postmortems, and systematic fixes that reduce recurrence.

Lead Back-end Engineer, Node.js

QA Automation Engineer

• Own the embedded automation architecture: Design the end-to-end architecture for embedding n8n into our product.
• Implement robust multi-tenant isolation so that each organization’s workflows, credentials, and execution data are separated, auditable, and compliant.
• Design and implement secure credential management for embedded workflows, including OAuth app credential strategy and tenant-safe secret handling.
• Own runtime reliability: deployment patterns, monitoring/alerting, backups, upgrades, incident response playbooks, and performance tuning.
• Coordinate delivery across backend engineers, frontend engineers, and DevOps/SRE—driving design reviews, breaking work into milestones, and unblocking execution.

Senior Automation Engineer, n8n Embed

DevOps Engineer

• Design and implement Azure foundations using Microsoft’s Cloud Adoption Framework (identity, networking, governance, guardrails).
• Lead AWS-to-Azure migration planning and execution, including discovery, wave planning, and cutover strategies in collaboration with our existing team.
• Build Infrastructure as Code solutions using Terraform for scalable, repeatable deployments.
• Deploy and manage AKS clusters, Helm charts, and container registries (ACR).
• Develop and optimize CI/CD pipelines using Azure DevOps and GitHub Actions.
• Implement observability with Azure Monitor, Log Analytics, and Application Insights.
• Ensure security and compliance through RBAC, policies, Key Vault, and Defender for Cloud.
• Mentor engineering teams and DevOps team on Azure best practices and DevOps principles.

Lead Database Architect, PostgreSQL, SaaS B2B

Lead Back-end Engineer, Node.js

Senior Automation Engineer, n8n Embed

Senior Azure DevOps Engineer