Pick the PostgreSQL problem. See who we would send.
Thu PhamSenior Data Engineer96/ 100
Divya MenonBackend Engineer91/ 100
Nour El-SayedBackend Engineer87/ 10025,000 applied. 1,000 got in.
Five scored stages, all finished before a profile reaches you. Nobody skips a stage to hit a deadline.
From £15 an hour. That is the whole pricing page.
One hourly rate with our margin printed on every invoice, billed monthly. No placement fee and no notice period beyond two weeks.
£8,314/ monthEquivalent to £48 an hourWhat a PostgreSQL engineer does
PostgreSQL engineers design, operate, and tune the database layer behind transactional products, analytics-adjacent workloads, internal platforms, and data-heavy SaaS systems. In a modern stack, PostgreSQL often sits behind APIs, event pipelines, job queues, search systems, warehouses, and cache layers, while also using extensions such as PostGIS, pgvector, pg_partman, and logical replication tooling. In 2026, good candidates should be comfortable with supported PostgreSQL versions such as 14 through 18, managed cloud offerings, containerized deployments, observability, backup automation, and zero-downtime migrations. A mid-level engineer can write solid SQL, add indexes, and debug common performance problems. A senior PostgreSQL engineer goes further: they understand MVCC, WAL, planner behavior, locking, replication lag, failover tradeoffs, schema design under growth, and operational failure modes. They can explain why a query is slow, how a migration can block production, and what recovery plan actually works under pressure.
Typical responsibilities
- Design PostgreSQL schemas, indexes, constraints, partitions, and data access patterns for high-volume application workloads.
- Analyze slow queries using EXPLAIN, EXPLAIN ANALYZE, pg_stat_statements, auto_explain, wait events, and application traces.
- Plan and execute safe migrations, version upgrades, backfills, and data model changes with minimal application downtime.
- Build and operate backup, restore, replication, failover, and disaster recovery processes using tools such as pgBackRest, Barman, WAL-G, Patroni, or managed cloud equivalents.
- Tune PostgreSQL configuration, connection pooling, vacuum behavior, memory settings, WAL settings, and autovacuum thresholds based on workload evidence.
- Work with backend, platform, data, and security teams to improve data reliability, access control, monitoring, incident response, and production readiness.
Must-have skills
- Deep PostgreSQL knowledge, including MVCC, WAL, locking, transactions, isolation levels, vacuum, autovacuum, bloat, and checkpoints.
- Strong SQL skills, including query tuning, indexing strategy, window functions, CTE behavior, JSONB usage, constraints, and transactional correctness.
- Hands-on performance diagnostics with EXPLAIN ANALYZE, buffers, pg_stat_statements, pg_stat_activity, pg_locks, wait events, and production-safe profiling.
- Experience operating PostgreSQL 14, 15, 16, 17, or 18 in production, either self-managed or on AWS RDS/Aurora, Google Cloud SQL/AlloyDB, Azure Database for PostgreSQL, or similar platforms.
- Practical backup and recovery experience, including point-in-time recovery, restore testing, WAL archiving, replication slots, and failover runbooks.
- Ability to design safe migrations, online index builds, backfills, partition rollouts, and application/database compatibility changes.
- Clear communication with engineering teams about tradeoffs, risks, incident timelines, data correctness, and operational constraints.
Nice to have
- Experience with HA and orchestration tools such as Patroni, repmgr, pgBackRest, Barman, WAL-G, PgBouncer, HAProxy, or cloud-native failover mechanisms.
- Familiarity with extensions and ecosystem tools such as PostGIS, pgvector, TimescaleDB, Citus, pg_partman, pg_cron, pgaudit, or Debezium.
- Experience with logical replication, change data capture, event-driven architectures, blue/green migrations, or cross-region data movement.
- Infrastructure-as-code and automation skills with Terraform, Ansible, Kubernetes operators, Helm, GitHub Actions, GitLab CI, or similar tooling.
- Security and compliance experience, including least-privilege roles, row-level security, encryption, audit logging, secrets handling, and production access workflows.
8 PostgreSQL interview questions that reveal real depth
These are the kinds of questions our engineers use in technical interviews. Each comes with what a strong answer sounds like.
Full set: 25 PostgreSQL questions by level, with red flags- Q1
A critical dashboard query became slow after a product launch. Walk me through how you would investigate it in PostgreSQL.
Strong answer: A strong candidate starts with evidence: query text, timing, frequency, rows returned, parameters, and recent schema or data changes. They use pg_stat_statements, EXPLAIN ANALYZE with buffers, wait events, and index statistics. They discuss stale statistics, bad row estimates, changed selectivity, missing composite indexes, bloat, and lock waits. They avoid guessing and validate fixes against realistic parameters.
- Q2
How do MVCC, vacuum, and autovacuum affect production performance?
Strong answer: A strong answer explains that PostgreSQL keeps old row versions for concurrent transactions, and vacuum removes dead tuples when safe. They connect long-running transactions, replication slots, idle-in-transaction sessions, and heavy updates to bloat and wraparound risk. They mention tuning autovacuum per table, monitoring dead tuples and freeze age, and avoiding blanket vacuum full operations without planning.
- Q3
You need to add a NOT NULL column with a default to a large production table. How would you do it safely?
Strong answer: A strong candidate asks about PostgreSQL version, table size, write rate, and application compatibility. They distinguish metadata-only defaults in modern PostgreSQL from operations that still scan or lock. They propose phased rollout: add nullable column, backfill in batches if needed, dual-write or application fallback, validate constraints safely, then enforce NOT NULL during a controlled window.
- Q4
When would you choose partitioning in PostgreSQL, and what problems can it create?
Strong answer: A strong answer says partitioning helps when access patterns align with partition keys, often time or tenant boundaries, and when it improves pruning, retention, maintenance, or bulk loading. They warn that it is not a magic performance fix. They mention global uniqueness limitations, too many partitions, planning overhead, foreign key complexity, index management, and migration cost.
- Q5
How would you design backups and disaster recovery for a PostgreSQL system?
Strong answer: A strong candidate separates backups from recovery. They describe base backups plus continuous WAL archiving, point-in-time recovery, restore testing, retention, encryption, access control, and documented runbooks. They discuss RPO and RTO as product decisions, not database defaults. They mention replica failure is not a substitute for recoverable backups, especially after bad writes or data corruption.
- Q6
What are common causes of replication lag, and how do you troubleshoot them?
Strong answer: A strong answer covers physical and logical replication. Causes include slow network or storage, long transactions, high WAL generation, replica query load, replication slot retention, disabled apply workers, schema conflicts, and large transactions. They inspect pg_stat_replication, lag metrics, WAL volume, replica waits, slots, and apply errors. They also discuss application impact of stale reads.
- Q7
How do you decide between adding an index and changing the query or schema?
Strong answer: A strong candidate explains that indexes speed some reads while adding write cost, storage, vacuum work, and planner complexity. They inspect the plan, selectivity, predicates, joins, sort order, and workload frequency. They compare composite, partial, covering, expression, GIN, GiST, BRIN, and B-tree options, but also consider denormalization, query rewrite, constraints, or data model changes.
- Q8
How should PostgreSQL connection pooling be handled in a busy application?
Strong answer: A strong answer notes that PostgreSQL backends are not lightweight enough for unbounded client connections. They discuss PgBouncer modes, especially transaction pooling tradeoffs with prepared statements, session state, temp tables, LISTEN/NOTIFY, and advisory locks. They size pools based on workload and database capacity, coordinate with app pools, and monitor saturation rather than simply raising max_connections.
Senior PostgreSQL engineer job description
A ready-to-paste template. Or skip the posting entirely: send it to us as your brief and get a scored shortlist in 48 hours.
About the role We are hiring a Senior PostgreSQL Engineer to own the reliability, performance, and evolution of our PostgreSQL estate. You will work with backend, platform, and data teams to keep production systems fast, recoverable, and safe to change. What you'll do Design schemas, indexes, partitions, and query patterns for product workloads. Tune slow queries using EXPLAIN, pg_stat_statements, wait events, and production metrics. Plan safe migrations, backfills, upgrades, and data model changes. Operate replication, backups, point-in-time recovery, failover, and restore testing. Improve observability, alerting, runbooks, and incident response for PostgreSQL. Review application changes that affect transactions, locking, connection usage, and data correctness. What you'll bring Strong production experience with PostgreSQL 14 or newer. Deep knowledge of MVCC, WAL, locking, vacuum, indexing, and query planning. Hands-on experience with managed PostgreSQL or self-managed clusters. Practical backup, recovery, and replication experience. Clear communication with engineers and technical leaders. A careful approach to production changes, tradeoffs, and operational risk.
What you get with PostgreSQL
Pre-Vetted Expertise
Every PostgreSQL developer on OctogleHire passes a rigorous vetting process covering technical skills, communication, and problem-solving ability.
Start in Days, Not Months
Skip the lengthy recruitment cycle. Our PostgreSQL engineers are ready to integrate with your team and start delivering within days.
Up to 60% Cost Savings
Access world-class PostgreSQL talent at a fraction of the cost of local hires, without compromising on quality or experience.
Risk-Free Trial Period
Every PostgreSQL engagement starts with a trial period. If you're not completely satisfied, you pay nothing.
The engagement, as a spec sheet
How OctogleHire compares
Vetting
Resume screening only
Self-reported skills
5-stage technical vetting (1 in 25 pass rate)
Time to Hire
6–12 weeks
Weeks of filtering
48 hours to first match
Cost
$20K–$40K placement fees
Low rates, variable quality
40–60% less, no placement fee
Compliance
You manage it
You manage it
Fully managed (30+ countries)
Replacement
30–90 days (if any)
None
14–30 day replacement guarantee
Support
Account rep (9-5)
Ticket system
Dedicated account manager
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Questions engineering leaders ask
Hire a PostgreSQL engineer when database behavior is shaping product reliability, release speed, or operating risk. Signals include slow queries that keep returning, lock-related incidents, painful migrations, unclear backup recovery, replication lag, high cloud database spend, or schema decisions that block feature work. A backend developer may write good SQL; a PostgreSQL specialist understands the engine and production failure modes.
Test practical diagnosis, not trivia. Ask candidates to read an EXPLAIN ANALYZE plan, reason about locking during a migration, explain MVCC and vacuum, design indexes for a real query, and build a backup and restore plan. Give them a scenario with incomplete information and watch whether they ask for workload, version, data volume, and operational constraints before recommending changes.
The SQL fundamentals overlap, but PostgreSQL has its own planner behavior, MVCC implementation, extension ecosystem, indexing options, JSONB features, replication model, and operational patterns. A strong MySQL or SQL Server engineer can transition, but you should test PostgreSQL-specific topics such as vacuum, WAL, EXPLAIN output, GIN indexes, partial indexes, extensions, logical replication, and transaction isolation behavior.
PostgreSQL is often the safer default when you need transactions, relational integrity, flexible querying, mature indexing, JSONB support, and broad tooling. A NoSQL system can be a better fit for specific access patterns, very large distributed write workloads, or document/key-value models with limited relational needs. The right engineer should compare workload shape, consistency needs, query patterns, and operational complexity.
A senior PostgreSQL engineer can usually start contributing quickly if they get access to schema definitions, query metrics, dashboards, logs, migration history, backup documentation, and application context. The first useful work is often risk discovery: slow queries, unsafe migrations, missing restore tests, excessive connections, or unclear ownership. Deep architecture changes take longer because they require workload evidence and coordination.
Use a consultant for a focused audit, migration plan, performance review, upgrade, incident recovery, or architecture decision. Hire full-time when PostgreSQL work is continuous: frequent schema changes, scaling pressure, multiple product teams, data reliability ownership, or ongoing platform operations. Many teams start with a specialist engagement and move to full-time when database work becomes a core engineering function.
Yes, if the team has strong operational hygiene. Remote PostgreSQL work depends on clear runbooks, shared dashboards, ticket context, architecture notes, migration reviews, and safe access workflows. The engineer should communicate risks in writing, document decisions, and participate in incident reviews. For production work, define escalation paths, change windows, approval rules, and who can execute high-risk database actions.
Core tools include EXPLAIN ANALYZE, pg_stat_statements, pg_stat_activity, pg_locks, wait events, auto_explain, and native logical replication. Operational tools may include PgBouncer, pgBackRest, Barman, WAL-G, Patroni, pgBadger, pganalyze, Prometheus, Grafana, and cloud database consoles. Depending on the product, useful extensions include PostGIS, pgvector, pg_partman, pg_cron, pgaudit, TimescaleDB, or Citus.
You'll receive 3–5 vetted candidate profiles within 48 hours of your demo call. Most companies go from first intro to signed contract in under 5 business days — compared to 6–12 weeks with traditional agencies.
Every developer passes a 5-stage process: application screening, stack-specific technical assessment, live system design interview, soft-skills evaluation, and reference checks. From over 25,000 applicants reviewed, only 1,000 have been accepted into our network.
OctogleHire engineers start at £15/hr (about $19), with senior engineers at about £24/hr. That is roughly 50–65% less than the loaded cost of an equivalent in-house hire in the UK, US or Australia — a senior UK hire costs about £48/hr once employer costs are included. There are no upfront fees or placement commissions; you pay one published hourly rate once your engineer starts.
Every placement includes a risk-free replacement guarantee — 14 days on our On-Demand plan and 30 days on our Marketplace plan. If a developer doesn't meet your expectations, we'll find a replacement at no additional cost and manage the transition for you. Our replacement rate is under 6%.
Send the brief. Meet PostgreSQL engineers on Thursday.
Twenty minutes with an Octogle engineer, then three to five scored profiles inside 48 hours. Free to post, with a replacement guarantee on every placement.