Database Reliability Engineer
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Key skills for this role
About the Role
NEXT Ventures seeks a Database Reliability Engineer to own database performance, archiving pipelines, caching reliability, and BC/DR for the data tier. You will execute scaling and optimization initiatives, ensure databases stay fast and durable, and collaborate with product squads.
Key Skills for This Role
Responsibilities
- 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 from production tables to cold storage 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
- 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
- Collaborate with application and product squads to design schemas, indexes, and access patterns that scale
Requirements
- 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
- Proficient with AWS managed database services — RDS and Aurora — including provisioning, read replicas, parameter group tuning, and monitoring
- 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)
- 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
- Can write and debug stored procedures and dynamic partitioning logic
- 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
Full Job Posting
Who We Are
- NEXT Ventures is a global fintech group powering FundedNext and FNmarkets, with offices in Bangladesh, Malaysia, Sri Lanka, Cyprus, and Dubai.
- The Platform Engineering team owns the infrastructure, reliability, and observability backbone.
Your Role in Our Mission
- As Database Reliability Engineer, you own database performance, archiving pipelines, caching reliability, and BC/DR for the data tier.
- You work within the Platform Engineering squad, executing scaling and optimization initiatives.
Data Performance & Scalability
- Execute database optimization and scaling initiatives — partitioning, sharding, replication; diagnose and fix slow queries.
- Own performance diagnostics on high volume tables (100M+ rows) — EXPLAIN plan, index tuning, lock contention, replication lag.
- Build and maintain data archiving pipelines to cold storage (S3/Parquet/Athena/Glacier) while preserving query access.
- Implement data lifecycle automation — TTL policies, scheduled archival jobs, partition rotation, retention enforcement.
- Conduct regular performance profiling across the data tier and implement measurable fixes.
- Support load testing and capacity planning for the data layer.
Data Reliability & Infrastructure
- Implement and maintain data tier BC/DR infrastructure — multi AZ, read replicas, Aurora Global Database, failover triggers targeting RTO/RPO under 5 minutes.
- Implement and maintain caching strategies (Redis, ElastiCache) — cache invalidation, read through/write behind, TTL hygiene, hit rate monitoring.
- Define and track SLIs/SLOs for the data layer — query latency, availability, replication health.
- Implement monitoring, alerting, and observability for the data tier — dashboards, slow query alerting, replication/cache health.
- Maintain and improve database level automation — stored procedures, dynamic partitioning scripts, 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.
- Write and maintain infrastructure as code for data resources (Terraform or equivalent).
- Document runbooks, archiving procedures, and operational 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, replication on 100M+ row tables.
- Able to build data archiving pipelines to cold storage while keeping records queryable.
- Proficient with AWS managed database services — RDS and Aurora.
- Hands on with Redis and ElastiCache.
- Automates archival, maintenance, and diagnostic work using Python and/or Bash.
- Familiar with monitoring and observability tooling (Prometheus, Grafana, Datadog, or similar).
- Understands multi AZ and cross region DR architectures with RTO/RPO under 5 minutes.
- Comfortable writing Terraform or CloudFormation.
- Can write and debug stored procedures and dynamic partitioning logic.
- Evidence driven, performance oriented, good communicator.
X Factor: AI Native Engineering
- Actively uses modern AI agentic workflows daily (Claude Code, Cursor, Windsurf, or equivalent).
- Comfortable with project level AI configuration, agentic task delegation, and AI driven code review.
- Thinks in terms of 5–10x productivity through AI augmented development.
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.
- Team treats database performance and data tier reliability as first class engineering problems.
- Flat structure — your work directly shapes the platform's data infrastructure.
- Offices across Bangladesh, Malaysia, Sri Lanka, Cyprus, and Dubai.
- Competitive compensation benchmarked to your market.
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