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Data Reliability Engineer

NEXT Ventures
Dubai, UAE
Full Time
Senior
3 days ago
MySQLPostgreSQLRedisElastiCacheAWS RDSAWS Aurora
Free

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Who We Are

  • NEXT Ventures is a global fintech group powering FundedNext — one of the world's fastest growing proprietary trading platforms — and FNmarkets, a regulated CFD brokerage.
  • Across offices in Bangladesh, Malaysia, Sri Lanka, Cyprus, and Dubai, we build and operate the technology that lets traders access global markets at scale.
  • Our Platform Engineering team owns the infrastructure, reliability, and observability backbone that every product squad depends on.

Your Role in Our Mission

  • As our Database Reliability Engineer, you are the specialist who ensures our data layer never becomes the bottleneck.
  • You own database performance, archiving pipelines, caching reliability, and BC/DR for the data tier that underpins all FundedNext services.
  • Working within the Platform Engineering squad, you execute the scaling and optimization initiatives designed by the squad lead — and you are the reason our databases stay fast, durable, and cost efficient as trading data and traffic grow.

Data Performance & Scalability

  • Execute database optimization and scaling initiatives — implement partitioning strategies, sharding schemes, and replication configurations; independently diagnose and fix slow queries across the platform.
  • Own performance diagnostics on high volume tables — EXPLAIN plan analysis, index tuning, buffer cache hit ratio investigation, lock contention, and replication lag on 100M+ row tables.
  • Build and maintain data archiving pipelines — move historical records (trade logs, transaction data, audit trails) from production tables to cold storage (S3/Parquet/Athena/Glacier) while preserving query access for compliance and reporting.
  • Implement and maintain data lifecycle automation — TTL policies, scheduled archival jobs, partition rotation, and retention enforcement.
  • Conduct regular performance profiling across the data tier — identify bottlenecks in MySQL/PostgreSQL and the caching layer, then implement measurable fixes.
  • Support load testing and capacity planning for the data layer — analyze growth trends, identify breaking points, and implement fixes before traffic growth causes production issues.

Data Reliability & Infrastructure

  • Implement and maintain data tier BC/DR infrastructure — multi AZ deployments, read replicas, Aurora Global Database/cross region replication, backup schedules, and failover triggers targeting RTO/RPO under 5 minutes; participate in regular DR drills.
  • Implement and maintain caching strategies (Redis, ElastiCache) — cache invalidation logic, read through/write behind patterns, TTL hygiene, and cache hit rate monitoring.
  • Define and track reliability metrics (SLIs/SLOs) for the data layer — query latency, availability, replication health — and drive improvements against them.
  • Implement monitoring, alerting, and observability for the data tier — dashboards, slow query alerting, and replication/cache health monitoring targeting fast MTTD on data incidents.
  • Maintain and improve database level automation — stored procedures, dynamic partitioning scripts, and scheduled maintenance jobs.

Cross Team Support

  • Collaborate with application and product squads to design schemas, indexes, and access patterns that scale.
  • Remediate data related security findings from the Cyber Security Squad — implement fixes and verify through retesting.
  • Write and maintain infrastructure as code for data resources — Terraform or equivalent for reproducible, version controlled provisioning.
  • Document runbooks, archiving procedures, and operational guidance so any engineer can respond to data tier incidents with clear guidance.

What You Bring

  • 4–6 years of professional engineering experience, with at least 2 years in database focused infrastructure work at moderate to high scale.
  • Strong expertise in MySQL and PostgreSQL — EXPLAIN plan analysis, index design, partitioning, sharding, and replication setup — with direct experience on 100M+ row tables.
  • Able to build data archiving pipelines to cold storage (S3/Parquet/Athena/Glacier) while keeping records queryable for compliance and reporting.
  • Proficient with AWS managed database services — RDS and Aurora — including provisioning, read replicas, parameter group tuning, and monitoring; Aurora Global Database experience is a plus.
  • Hands on with Redis and ElastiCache — cache invalidation patterns, TTL hygiene, hit rate monitoring, and incident diagnosis.
  • Automates archival, maintenance, and diagnostic work using Python and/or Bash.
  • Familiar with monitoring and observability tooling (Prometheus, Grafana, Datadog, or similar) for slow query alerting, dashboards, and data tier incident analysis.
  • Understands multi AZ and cross region DR architectures, backup strategies, and failover triggers targeting RTO/RPO under 5 minutes.
  • Comfortable writing Terraform or CloudFormation to provision data resources in a version controlled, reproducible way.
  • Can write and debug stored procedures and dynamic partitioning logic for database level automation.
  • Evidence driven — profiles and measures before guessing; validates every optimization against before/after data.
  • Performance oriented — treats data tier latency as a first class reliability problem, not a tuning afterthought.

X Factor: AI Native Engineering

  • You actively use modern AI agentic workflows daily — not limited to Copilot autocomplete.
  • You are proficient with Claude Code, Cursor, Windsurf, or equivalent tools.
  • You are comfortable with project level AI configuration (CLAUDE.md, rules files), agentic task delegation, and AI driven code review.
  • You think in terms of 5–10x productivity through AI augmented development — and you can demonstrate it.

Your Journey After Applying

  • Stage 1 — TA Interview
  • Stage 2 — Screening Questionnaire
  • Stage 3 — Hiring Manager Interview
  • Stage 4 — Head of IT Interview

Why Join NEXT

  • Work on data challenges at real scale — 100M+ row tables, 1TB+ databases, high frequency trading transaction volumes.
  • A team that treats database performance and data tier reliability as first class engineering problems, not DBAs on the side.
  • Flat structure — your work directly shapes the platform's data infrastructure, not filtered through layers of process.
  • Offices across Bangladesh, Malaysia, Sri Lanka, Cyprus, and Dubai — a genuinely global engineering team.
  • Competitive compensation benchmarked to your market, with room to grow as the team scales.

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