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Dedicated Resource · PostgreSQL
PostgreSQL is the backbone of serious products. A dedicated PostgreSQL developer from Typescriptaz models schemas, indexes, and migration paths that last years—not just the next sprint. We handle the data model, query plans, extensions, and the day-to-day between app and storage.
Use
Many performance problems don't stem from code but from the database: missing indexes, suboptimal joins, N+1 queries from the ORM. Your PostgreSQL developer reads EXPLAIN plans, finds the expensive queries, and fixes them where it matters most—often with a few targeted changes.
There are also topics that product teams like to leave undone: row-level security for tenants, backups with point-in-time recovery, replication, and major upgrades. Every new version brings noticeable improvements—for PostgreSQL, for example, asynchronous I/O. We plan upgrades so your application remains available, and work closely on the app side with Node.js and ORMs like Prisma or Drizzle.
For IT leads, the database is where risks become most costly: data loss, outages, and performance degradation. A dedicated person ensures backups are tested, upgrades are planned, and bottlenecks are detected long before they escalate.
Typical mandates: SaaS core systems, multi-tenant systems, analytics, commerce.
Tools: PostgreSQL, Prisma or Drizzle, PgBouncer, WAL-G
Book directly
$12,500 / month
150 hours, directly employed and dedicated solely to your backlog. At kickoff, you meet the person before work begins.
Quick explanation
PostgreSQL is an open-source, object-relational database system that has been developed for over 30 years. It is regarded as particularly reliable, standards-compliant, and extensible—for example with PostGIS for geodata, pgvector for vector search, or TimescaleDB for time series. Each major version is supported for five years. For companies, the system is a safe choice: no licensing costs, a large ecosystem, and the option to self-host or use a managed service from all major cloud providers.
Expertise
Seniority isn’t shown on the resume but in code review. Our team looks for it with PostgreSQL.
01
A senior PostgreSQL developer models tables, constraints, and relationships so they enforce business rules and allow future extensions. That prevents inconsistent data that would otherwise only show up in reports.
02
EXPLAIN ANALYZE, pg_stat_statements, and targeted indexes show where time is lost. Instead of simply scaling hardware, an experienced developer optimizes the queries that truly matter.
03
Replication, point-in-time recovery, and regularly tested backups are insurance for your data. Anyone who has needed them in a real incident plans for them from the start.
04
PostGIS for geodata, pgvector for vector search, TimescaleDB for time series: the database can be extended where needed. A senior knows when an extension avoids adding another system—and when it doesn’t.
05
Schema changes on large tables can cause locks. A senior plans migrations so they work during live operations—for example, with gradual changes and concurrently created indexes.
06
Many database problems originate in the ORM. An experienced developer works closely with the application team, spots inefficient patterns, and proposes solutions that work in both code and database.
Typical situations
01
Pages load slowly, reports take minutes, the CPU runs hot? We analyze the most expensive queries and fix the root causes.
02
For multi‑tenant SaaS products, we set up row‑level security and clean schemas so data remains securely separated.
03
With pgvector, you store and search embeddings directly in PostgreSQL — without an additional database in the stack.
Risk under control
Database problems immediately affect the whole product. We take these three risks especially seriously in PostgreSQL projects:
A backup is only valuable if the restore works. We test restores regularly, document recovery time, and verify whether it meets your requirements.
A major upgrade can take a long time for large databases. Using logical replication and trial runs on copies of production data, we keep downtime minimal and predictable.
Growing tables, missing indexes, and bloated tables from infrequent vacuuming make queries slow. We monitor key metrics and intervene before users notice.
Applications that access the database with admin rights are a security risk. We set up roles with minimal privileges, separate read and write access, and log critical changes.
Transparency
Business case
A dedicated PostgreSQL developer often pays off sooner than expected. Optimized queries and indexes save server capacity you would otherwise have to buy. Tested backups and planned upgrades prevent outages whose costs quickly exceed the support fee. And with extensions like pgvector or PostGIS, you can avoid additional databases and their operational overhead.
The first two weeks
Analysis, first delivery, clear plan. Read about how we work in general at How we work.
01
Schema, indexes, slow queries, configuration—we get an overview with real measurements.
02
The first optimizations go live—e.g., missing indexes or rewritten ORM queries.
03
You receive recommendations for schema changes, backup strategy, and upgrade path, prioritized by risk.
After kickoff
How a typical engagement develops after the first two weeks—aligned with your backlog.
01
Database check with real measurements, initial optimizations, and a tested restore from a backup.
02
Schema adjustments, indexes, and queries are optimized; connection pooling and monitoring are set up.
03
Upgrade path, backup strategy, and permissions model are in place, and your team knows the key metrics.
Example scenario
A SaaS provider finds that monthly reports for large customers now take several minutes and slow the database for everyone during that time. A dedicated PostgreSQL developer analyzes the queries with pg_stat_statements and EXPLAIN.
A few targeted indexes, rewritten queries, and a materialized view for reports significantly shorten runtimes. Additionally, a read replica is created for analytics, so reports no longer slow day‑to‑day operations.
For the SaaS provider, this means more satisfied enterprise customers, no costly hardware upgrades, and a team that sees the database again as a reliable foundation rather than an ongoing construction site.
Collaboration
A performance audit or a major upgrade is a clearly scoped project—ideal for an hour bundle. If your database grows with the product and schemas, queries, and operations need ongoing support, a dedicated person on a monthly plan is the right choice.
The discovery package starts with a database check and quickly shows where the biggest levers are.
All rates, pools, and effective prices are detailed in the Pricing table.
Straight talk
For most applications, this database is an excellent choice—but not for everything. For extremely high write loads with simple data structures or for certain analytics workloads, specialized systems can be a better fit. We assess this objectively and recommend additional systems only when PostgreSQL with extensions and good design reaches its limits.
For IT decision-makers
Can the person read an EXPLAIN plan and derive concrete actions from it?
When did they last test a restore from backup?
How do you plan a major upgrade with minimal downtime?
What experience does she have with row-level security and multitenancy?
Can they assess when extensions like pgvector make sense?
Glossary
Command that shows how a query is executed and how long each step takes.
Point‑in‑time database recovery from backups and WAL.
Row‑level access rules, for example to separate data from different tenants.
A maintenance process that removes old data versions and keeps tables lean.
Often a good fit
Frequently asked questions
Yes. Even with managed services, schema design, indexes, and query optimization remain your responsibility—and that’s where we focus. The infrastructure itself can stay with the provider.
Depending on data volume and downtime tolerance, we use pg_upgrade or logical replication. We test the migration on a copy and plan the window with you.
Often, no. With pgvector, you can store and search embeddings directly in PostgreSQL. A separate system only makes sense for very large datasets or special requirements.
Yes. We analyze schema, data types, and queries, plan the migration in stages, and test it with real data volumes. We adapt application code that uses database-specific functions with your team.
We follow the principle of least privilege, use pseudonymized or anonymized data for testing, and document access. This aligns with the ISMS according to ISO 27001 under which we operate.
A current, supported major version — currently PostgreSQL. Each version is maintained for five years. Still, it’s worth not waiting too long, because new releases often bring noticeable performance improvements.
Regularly — and at minimum after any major change to backup processes or infrastructure. We automate restore tests so they aren’t forgotten.
Every database connection consumes resources. With a pooler like PgBouncer, many application instances share a small number of connections—which stabilizes the database under load spikes.
Within an ongoing engagement, we prioritize acute issues immediately. For onboarding in a critical situation, contact us directly — we'll tell you how quickly we can support you.
It depends heavily on the starting point. Often a few missing indexes or rewritten queries already yield big improvements. We measure before and after so you can see the effect in black and white.
Yes. We plan replication, automatic failover, and backup strategies to match your availability and recovery time requirements—and test them regularly.
Bottom line
A dedicated PostgreSQL developer protects your most important asset: your data. You get faster queries, tested backups, planned upgrades, and an access rights model that stands up to audits—and often save infrastructure costs that would otherwise be spent on ever-larger servers.
Next step
Tell us the stack, scope, and start window. We usually respond within one business day—with a specific person instead of a stack of profiles.
Quick contact
TypeScript resources from Austria and Germany, permanently employed with us. Tell us the stack, scope, and desired start date. We typically respond the same business day — with availability, appropriate seniority, and a concrete start window.
US & European billing
Choose the contracting entity that fits your procurement process. Engagements can be contracted and invoiced through our European locations or through Anexia Inc.152 W. 57th Street, 7th Floor, New York, NY 10019, USA. Talk to us about billing.