Hire expert PostgreSQL developers
Add a senior PostgreSQL engineer to your team for schema design, query tuning, zero-downtime migrations, replication and backup strategy, working inside your repositories, code review and release process.
- Projects delivered
- 50+
- Average rating
- 4.8/5
- Response time
- 24h
Hire a PostgreSQL developer
Tell us what you're building. We'll send a plan and a quote within 24 hours — no spam.
A cleaner way to hire PostgreSQL developers
Krapton lets you hire PostgreSQL developers who treat the database as part of the product, not a storage bucket behind an ORM. They join your team to model data with real constraints, read EXPLAIN (ANALYZE, BUFFERS) output before adding an...
- Shortlist
- 24h
- Replacement
- 30d
- IP yours
- 100%
Planner-aware query tuning
Slow endpoints usually trace back to a few statements. The developer reads EXPLAIN ANALYZE plans, spots sequential scans, bad row estimates and sort spills to disk, then fixes them with the right index type, fresher statistics or a rewritten query instead of more hardware.
Migrations that avoid lock queues
An ALTER TABLE waiting on an ACCESS EXCLUSIVE lock can block every query behind it. Your hire sets lock_timeout, builds indexes CONCURRENTLY, adds constraints as NOT VALID before validating, and splits backfills into batches so deploys do not freeze the application.
Backups proven by restores
A backup nobody has restored is a guess. The engineer configures WAL archiving with pgBackRest or WAL-G, documents recovery point and recovery time targets with you, and rehearses point-in-time recovery into a scratch instance so the runbook is tested.
Security inside the database
Row-level security policies, least-privilege roles, separate migration and application users, SCRAM authentication and pgAudit logging keep tenant data apart even when application code has a bug. The developer also checks that table owners, BYPASSRLS roles and pooled sessions cannot sidestep those policies.
Why PostgreSQL?
What makes PostgreSQL the right choice for modern engineering teams.
ACID compliance
Full ACID transaction support ensures data integrity even during complex concurrent operations.
Advanced indexing
B-tree, GiST, GIN, BRIN, and partial indexes for blazing query performance.
JSON & JSONB support
First-class JSON document storage with powerful operators and indexing.
Row-level security
Granular RLS policies for multi-tenant applications without application-level logic.
Extensions ecosystem
PostGIS, TimescaleDB, pg_vector, and 1000+ extensions extend core capabilities.
Logical replication
Stream changes to replicas, data warehouses, or CDC pipelines with WAL-based replication.
What you can build with PostgreSQL
Multi-tenant SaaS backends
Shared-schema tenancy with a tenant_id on every table, row-level security enforced through SET LOCAL inside each transaction, and composite indexes that lead with the tenant key so one large customer does not slow everyone else.
Geospatial search services
PostGIS geometry and geography columns with GiST indexes for radius search, delivery zones, nearest-driver lookups and map tiles, with ST_DWithin queries written so the index is actually used.
Vector search with pgvector
Embedding storage next to your relational data, HNSW or IVFFlat indexes, and hybrid queries that combine vector similarity with full-text ranking and ordinary WHERE filters, all inside one transactional database.
Time-partitioned event stores
Declarative range partitioning managed by pg_partman, BRIN indexes on timestamp columns, and retention handled by detaching old partitions instead of running large DELETE statements that bloat tables and hammer autovacuum.
Change data capture pipelines
Publications and logical replication slots that stream changes through Debezium into Kafka, a warehouse or a search index, with slot lag alerts so an abandoned slot cannot fill the disk with retained WAL.
High-availability clusters
Streaming replicas managed by Patroni on VMs or CloudNativePG on Kubernetes, with synchronous or asynchronous commit chosen per workload, automated failover, and read traffic that can tolerate lag routed to replicas.
Where PostgreSQL projects usually go wrong
Most PostgreSQL trouble is self-inflicted and slow to surface. A table grows past the size where a sequential scan was harmless, and an endpoint that took milliseconds starts taking seconds. A migration adds a column with a volatile default or rewrites a large table, and the lock queue behind it takes the site down. A long-running analytics query or a forgotten idle-in-transaction session holds back vacuum, bloat accumulates, and autovacuum eventually runs an aggressive anti-wraparound pass at the worst possible moment. Serverless functions each open their own connections until the server refuses new ones. None of these show up in a demo with a few hundred rows, which is why the developer tests migrations and heavy queries against a production-sized copy, with anonymized data, before they ship.
Prevention is mostly process. Every migration in a pull request gets a short note on the lock it takes and how long it runs on realistic data; risky changes are split into expand and contract steps so old and new code can run side by side. Slow-query budgets are tracked from pg_stat_statements, not guessed from APM traces alone. Alerts cover replication lag, transaction ID age, slot retention, connection saturation and checkpoint frequency, because those signals usually move well before an outage. Backups are verified by restoring them on a schedule. When the right answer is outside PostgreSQL, such as Redis for hot counters or a search engine for typo-tolerant product search, Krapton engineers say so instead of forcing every problem into SQL.
PostgreSQL in action
-- Row-level security for multi-tenant SaaS
CREATE TABLE orders (
id UUID DEFAULT gen_random_uuid() PRIMARY KEY,
tenant_id UUID NOT NULL REFERENCES tenants(id),
amount NUMERIC(12,2) NOT NULL,
status TEXT DEFAULT 'pending',
created_at TIMESTAMPTZ DEFAULT NOW()
);
ALTER TABLE orders ENABLE ROW LEVEL SECURITY;
CREATE POLICY tenant_isolation ON orders
USING (tenant_id = current_setting('app.tenant_id')::UUID);
-- Partial index for fast pending order queries
CREATE INDEX idx_orders_pending
ON orders (tenant_id, created_at DESC)
WHERE status = 'pending';What our PostgreSQL developers know
Every Krapton developer is vetted with real production experience in PostgreSQL across multiple industry domains.
- Schema designDesigning normalized and optimized relational schemas with appropriate constraints and foreign keys.
- Query optimizationUsing EXPLAIN ANALYZE, vacuuming, and index tuning to eliminate slow queries.
- Connection poolingConfiguring PgBouncer or Supabase pooler for high-throughput serverless workloads.
- MigrationsManaging schema migrations safely with tools like Flyway, Liquibase, or Prisma Migrate.
- Backup & recoveryPoint-in-time recovery with pg_dump, WAL archiving, and continuous backups.
- PostGISBuilding geospatial queries and location-based features using the PostGIS extension.
What our PostgreSQL developers go deep on
Indexing beyond b-tree
GIN for JSONB containment and trigram search with pg_trgm, GiST for ranges and geometry, BRIN for append-only time data, plus partial and expression indexes that match the exact WHERE clauses your application sends.
Vacuum and bloat control
Per-table autovacuum thresholds for hot tables, monitoring of transaction ID age to head off wraparound, pg_repack for online bloat removal, and finding the idle-in-transaction sessions that stop vacuum from cleaning up.
Connection pooling and limits
PgBouncer or the provider’s pooler in transaction mode, with prepared statements, advisory locks and session settings checked for compatibility, and pool sizes set from measured concurrency rather than raising max_connections.
Schema migration tooling
Flyway, Liquibase, Sqitch, Atlas or ORM-native tools such as Prisma Migrate and Alembic, with every migration reviewed for lock level, run time on production-sized data and a rollback or forward-fix path.
Server-side SQL and PL/pgSQL
Window functions, recursive CTEs, LATERAL joins, upserts with ON CONFLICT and MERGE, and PL/pgSQL functions or triggers used sparingly where they protect integrity rather than hide business logic.
Observability and testing
pg_stat_statements, auto_explain and log_min_duration_statement feeding Grafana or Datadog dashboards, plus pgTAP and Testcontainers so schema changes and queries are tested against real PostgreSQL in CI, not SQLite stand-ins.
Common PostgreSQL projects we deliver
Rescuing a database that outgrew its ORM
When an application built quickly on Prisma, TypeORM or Django ORM starts timing out, the developer profiles real traffic with pg_stat_statements and auto_explain, replaces chatty query patterns, adds covering indexes and moves heavy reports to a read replica.
Moving from MySQL or SQL Server
Schema conversion with pgloader or AWS DMS, type mapping for dates, booleans and identity columns, rewriting stored procedures into PL/pgSQL, and a cutover plan that keeps both databases in sync until query results match.
Major version upgrades with minimal downtime
Upgrading across major PostgreSQL versions using pg_upgrade with link mode for speed, or logical replication into a new cluster for near-zero downtime, with extension compatibility checked and the application test suite run against the target first.
Managed Postgres cost and performance review
For teams on Amazon RDS, Aurora, Cloud SQL, Azure Database for PostgreSQL, Neon or Supabase, the engineer right-sizes instances, tunes work_mem and shared_buffers where the provider allows, and removes unused indexes that slow every write.
PostgreSQL solutions by industry
Fintech
Ledgers need serializable or carefully locked transactions, CHECK constraints on balances and append-only audit tables; PostgreSQL provides these natively, and the developer designs double-entry schemas around them.
Logistics
PostGIS powers route zones, geofences and proximity queries, while partitioned tracking tables keep years of GPS pings queryable without slowing the dispatch screens operators use all day.
Healthcare
Patient records benefit from row-level security, column encryption with pgcrypto, pgAudit trails and strict role separation, which together support HIPAA and GDPR controls without custom middleware.
B2B SaaS
Tenant isolation, per-customer reporting and JSONB for configurable fields let one PostgreSQL cluster serve many accounts, with partitioning or Citus considered once a single node runs short.
PostgreSQL vs MySQL
Both are mature open-source relational databases, and MySQL with InnoDB remains a sound choice for read-heavy web apps with simple schemas and teams that already run it well. PostgreSQL pulls ahead when you need richer data types, transactional schema changes, extensions such as PostGIS and pgvector, or complex analytical SQL. It also asks more of operators, mainly around vacuum and connection management.
| Dimension | PostgreSQL | MySQL |
|---|---|---|
| Schema changes | Transactional DDL; failed migrations roll back cleanly | DDL commits implicitly; partial migrations need manual cleanup |
| Data types | JSONB, arrays, ranges, enums, custom types | JSON type and ENUM; no arrays or ranges |
| Extensibility | PostGIS, pgvector, TimescaleDB and many more extensions | Plugins exist; far smaller extension ecosystem |
| Concurrency model | Process per connection; usually needs a pooler such as PgBouncer | Thread per connection; tolerates more direct connections |
| MVCC housekeeping | Dead tuples in heap; autovacuum tuning matters | Undo logs cleaned by purge; long transactions still hurt |
| Best fit | Complex queries, geospatial, analytics, strict integrity | Simple read-heavy web apps, existing MySQL estates |
How to hire PostgreSQL developers in 5 steps
A transparent, low-risk process — from first call to onboarded engineer in about two business days.
01
Share your brief
Tell us the stack, scope, seniority and the timezone overlap you need on a free 30-minute discovery call. No obligation, no sales pitch.
02
Review matched profiles
We shortlist 2–3 pre-vetted PostgreSQL engineers from our in-house bench, with CVs and directly relevant work — usually within one business day.
03
Interview & test
Interview each developer yourself, run a paid trial task, or do a live pairing session. You decide who joins — we never push a profile.
04
Onboard securely
Sign a free NDA, then plug the developer into your Jira, repository and Slack. Engagements are month-to-month with no lock-in.
05
Scale or replace
Scale the team up or down month by month as the roadmap changes. If the fit is not right, you get a free replacement within the first 30 days.
Three ways to hire PostgreSQL developers
Pick the engagement that matches how you actually work. No multi-year contracts — scale up or down month by month.
Dedicated developer
Most popular
Full-time PostgreSQL engineer who reports only to you. Best for ongoing products, long-term roadmaps and teams that need a core hire without the HR overhead.
- 40 hours / week
- Your Jira, your repo
- Month-to-month
Hourly / time & materials
Pay only for billable hours. Ideal for research spikes, code audits, or variable-load PostgreSQL work where scope is still being discovered.
- Weekly timesheets
- Slack-first comms
- No minimum commit
Fixed-price milestones
Scoped delivery with clear milestones and acceptance criteria. Best for well-defined PostgreSQL builds like an MVP, a migration or a specific module.
- Scope locked upfront
- Milestone acceptance
- Predictable budget
Compare ways to hire PostgreSQL developers
Pick the model that matches how you work. Switch between them as your PostgreSQL project evolves — no multi-year contracts.
| Engagement | Dedicated developer (popular) | Hourly / time & materials | Fixed-price milestones |
|---|---|---|---|
| Best for | Ongoing products & long-term roadmaps | Exploratory or variable-load work | Well-scoped MVPs, modules & migrations |
| Billing | Monthly, full-time (~160 hrs) | Per billable hour | Per accepted milestone |
| Commitment | Month-to-month, no lock-in | No minimum commitment | Scope locked up front |
| Flexibility | Scale up or down monthly | Highest — pay for what you use | Lowest — defined deliverables |
| You manage | Day-to-day in your tools | Weekly priorities | Acceptance criteria only |
| Reporting | Daily standups | Weekly timesheets | Milestone demos |
Hire PostgreSQL developers from anywhere
Our New Delhi team partners with founders and engineering leaders across eight key markets, with enough daily timezone overlap to feel in-house.
Hire PostgreSQL developers in India
Full working-day overlap
Krapton is an on-shore PostgreSQL studio in New Delhi. Hire PostgreSQL developers in India and get senior, full-time engineers at roughly 50–70% of US/UK rates — with English-fluent communication and IST working hours.
Hire PostgreSQL developers in USA
4–6 hours of daily overlap — your morning, our evening
Hire dedicated PostgreSQL developers for your USA team without the local price tag. US companies work with our vetted, full-time PostgreSQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.
Hire PostgreSQL developers in UK
Overlap across your whole morning (our afternoon)
Hire dedicated PostgreSQL developers for your UK team without the local price tag. UK companies work with our vetted, full-time PostgreSQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.
Hire PostgreSQL developers in Canada
4–6 hours of daily overlap with ET and PT
Hire dedicated PostgreSQL developers for your Canada team without the local price tag. Canada companies work with our vetted, full-time PostgreSQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.
Hire PostgreSQL developers in Australia
Strong overlap — our morning is your afternoon
Hire dedicated PostgreSQL developers for your Australia team without the local price tag. Australia companies work with our vetted, full-time PostgreSQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.
Hire PostgreSQL developers in UAE
Near-complete overlap — just 90 minutes apart
Hire dedicated PostgreSQL developers for your UAE team without the local price tag. UAE companies work with our vetted, full-time PostgreSQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.
Hire PostgreSQL developers in Germany
Overlap through your morning and our afternoon (DACH)
Hire dedicated PostgreSQL developers for your Germany team without the local price tag. Germany companies work with our vetted, full-time PostgreSQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.
Hire PostgreSQL developers in Singapore
Near-complete overlap — only 2.5 hours apart
Hire dedicated PostgreSQL developers for your Singapore team without the local price tag. Singapore companies work with our vetted, full-time PostgreSQL engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.
PostgreSQL developer rates
Hire dedicated PostgreSQL developers from Krapton's team in India. Rates below are blended hourly bands; dedicated developers are billed monthly with no lock-in.
Junior (1–3 yrs)
Feature work under senior review
$22–$28/hr
Mid-level (3–6 yrs)
Owns modules end-to-end
$28–$36/hr
Senior / lead (6+ yrs)
Architecture, reviews, mentoring
$36–$45/hr
Why teams hire PostgreSQL developers from Krapton
- Projects delivered
- 50+
- In-house engineers
- 60+
- Average client rating
- 4.8/5
- On-time delivery
- 98%
Vetted, full-time engineers
Every PostgreSQL developer is a full-time, in-house Krapton engineer — never a freelancer or subcontractor.
Ready in 24 hours
Shortlisted PostgreSQL CVs within a business day and an onboarded developer within two.
Clear hourly rates
Published hourly bands by seniority, billed monthly, with no lock-in.
Your IP, your repos
Full IP assignment, free NDA on request, and all code in your accounts from day one.
30-day replacement
Not the right fit? Free replacement within five business days in the first 30 days.
Real timezone overlap
4–6 hours of daily overlap with US, UK, EU, UAE and AU teams for live collaboration.
Services that pair well with PostgreSQL
Most PostgreSQL engagements also benefit from these Krapton services. Browse full offerings on the services page.
Custom software services
Krapton is a custom software development company: we build the platforms, portals, internal tools and integrations that off-the-shelf software cannot cover, around the way your business works.
Explore custom software servicesMigrations & upgrades
Transition to the latest platforms or enhance existing systems. Our migration and upgrade services ensure data integrity, minimal downtime, and optimized performance.
Explore migrations & upgradesBackup & disaster recovery
Guard your vital data and systems against unforeseen disruptions. With our Backup and Disaster Recovery solutions, we ensure business continuity even in critical times.
Explore backup & disaster recovery
Hire PostgreSQL developer
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Hiring PostgreSQL developers — answered
Practical answers to the questions CTOs and founders ask us most often before they hire.
How quickly can I hire a PostgreSQL developer from Krapton?
Within 24 hours of the initial call. We keep a bench of pre-vetted PostgreSQL engineers, so once you confirm the brief we line up two or three shortlisted CVs within a business day and can onboard the selected developer within two.
How much does it cost to hire a dedicated PostgreSQL developer from India?
Blended hourly rates for senior PostgreSQL engineers typically fall in the $22–$45 USD range depending on seniority and engagement length. Dedicated developers are billed monthly with no lock-in.
Are your PostgreSQL developers full-time employees or freelancers?
Every PostgreSQL developer you hire through Krapton is a full-time, in-house engineer — we never subcontract to freelancers or agencies. That means consistent code quality, signed NDAs, and a single point of accountability for your project.
Who owns the code and IP my PostgreSQL developers write?
You do — 100%. IP assignment and confidentiality are covered by the contract and a free NDA on request. All code lives in your repositories, on your infrastructure, under your accounts from day one.
What skills matter most when you hire PostgreSQL developers?
Planner literacy matters most: a senior PostgreSQL developer reads EXPLAIN (ANALYZE, BUFFERS) output fluently and knows why the planner chose a plan. Next come MVCC and vacuum behavior, lock levels for each DDL statement, index types beyond B-tree, connection pooling tradeoffs and point-in-time recovery. Ask candidates how they would add a NOT NULL column to a large live table; the answer reveals production experience quickly.
Should we use PostgreSQL or MongoDB for a new product?
PostgreSQL is the safer default for most new products, because JSONB covers flexible fields while foreign keys, transactions and SQL handle the relational parts every business eventually has. MongoDB fits better when data is naturally document-shaped, written and read as whole aggregates, and you expect to shard writes horizontally early. Choosing by access patterns, not by how easy the first week feels, avoids a painful migration later.
How do you migrate an existing database to PostgreSQL without a long outage?
Run both systems in parallel and cut over only after the data matches. The developer converts the schema, bulk-loads a snapshot with pgloader or AWS DMS, then streams ongoing changes until the target catches up. Application queries are tested against PostgreSQL in staging, row counts and checksums are compared, and the final switch is a short write freeze plus a connection-string change, with a rehearsed rollback path.
How is PostgreSQL performance tested before changes reach production?
Against realistic data, not an empty schema. The developer restores an anonymized production snapshot, replays representative queries, and compares plans and timings before and after the change with EXPLAIN ANALYZE and pgbench custom scripts. In CI, Testcontainers spins up the same PostgreSQL major version you run, migrations execute from scratch, and pgTAP or application tests confirm constraints, RLS policies and query results.
How often should we upgrade PostgreSQL major versions?
Plan a major upgrade roughly every one to two years, well before your version leaves community support. The PostgreSQL project ships one major release a year and supports each for five years, while managed providers such as Amazon RDS add extended-support fees or force upgrades near end of life. Each upgrade brings planner, vacuum and I/O improvements, but extensions, deprecated settings and query plans must be checked on staging first.
Keep exploring
More ways to plan your PostgreSQL build and team with Krapton.
- PostgreSQL development company services
- PostgreSQL development team in India
- hire Supabase developers for Postgres apps
- hire Prisma developers for TypeScript
- hire MySQL database developers
- hire CockroachDB developers for distributed SQL
- database migration and upgrade services
- backup and disaster recovery services
- find vetted developers by skill
- talk to us about hiring
- Browse all developer roles
- Book a free consultation
- See our case studies
- Explore all services
- Read the engineering blog
Ready to build with PostgreSQL?
Get a free 30-minute consultation with our PostgreSQL team. Clear roadmap, transparent pricing, no obligation.
- Free NDA on request
- Response within 24 hours
- Certified PostgreSQL developers
- Flexible engagement models
- US, UK, UAE & India clients served