OctogleHire
Vetted PostgreSQL engineers, AI-native

Hire senior andproven PostgreSQLengineers

Schema design, query plans and migrations that do not take the site down. The top 4% of applicants, scored on real work and ready to start in days.

Teams shipping with Octogle Hire
Beekey
Hireflow
Corpwise
Solidus
SquareLogik
Unichats
DNO Investments
The Care App
Workchats
Beekey
Hireflow
Corpwise
Solidus
SquareLogik
Unichats
DNO Investments
The Care App
Workchats
Your shortlist, previewed

Pick the PostgreSQL problem. See who we would send.

17 matching engineers · updated hourly
Thu PhamSenior Data Engineer96/ 100
StackEXPLAIN, pg_stat_statementsResultReport 42s to 900msExtrasIndex strategy documented
Hanoi · UTC+7$33/h
Divya MenonBackend Engineer91/ 100
StackPartial and covering indexesResultWrite amplification reducedExtrasBloat monitoring
Chennai · UTC+5:30$31/h
Nour El-SayedBackend Engineer87/ 100
StackConnection poolingResultPgBouncer rolloutExtrasPool sizing rationale
Alexandria · UTC+3$32/h
The funnel

25,000 applied. 1,000 got in.

Five scored stages, all finished before a profile reaches you. Nobody skips a stage to hit a deadline.

25,000remain
Stage 01Application reviewRead by an engineer, not a keyword filter.
10,000remain
Stage 02HR + communication screenLive English fluency and product-mindset interview.
4,000remain
Stage 03AI-led PostgreSQL interviewA 30–50 minute adaptive interview tuned to the CV.
1,600remain
Stage 04Tech lead interviewSystem design and production judgement, face to face.
1,000remain
Stage 05References + backgroundTwo calls with former leads, plus verification.
What it costs

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.

What are you looking for?Rates shown in your currency, compared with hiring locally.
Hiring with Octogle£2,598to£5,716/ monthEquivalent to £15–£33 an hour
Save up to £68,587 a yearAll expenses included. No hidden costs.
Hiring locally in United Kingdom£8,314/ monthEquivalent to £48 an hour
45% higher annual costBased on loaded local cost, including employer on-costs.
Indicative only — your quote is confirmed on the brief call.
The role

What 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.
How to interview

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
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

Job description

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.

Mid and lead versions
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.
Why teams choose Octogle

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.

What you get

The engagement, as a spec sheet

Shortlist3–5 scored profiles in 48 hoursEach with a technical assessment, a system-design write-up and reference checks already completed.
EngagementFull-time on one clientIn your repo, your standups and your on-call rotation. Part-time from 20 hours on request.
RateOne published hourly rateOur margin is printed on every invoice. No placement fee and no annual minimum.
Trial14-day replacement guarantee30 days on Marketplace. If the fit is wrong we re-shortlist inside 48 hours.
NoticeTwo weeksNo long-term lock-in and no cancellation fee.
ComplianceHandled in 30+ countriesContracts, IP assignment, payroll and local employment law. You receive a single invoice.
IPYours from the first commitAssigned in the master agreement, signed before repository access is granted.
SecurityISO 27001, GDPR, CCPAEU or US data residency available on request.
Compare

How OctogleHire compares

Vetting

Agency

Resume screening only

Freelance

Self-reported skills

OctogleHire

5-stage technical vetting (1 in 25 pass rate)

Time to Hire

Agency

6–12 weeks

Freelance

Weeks of filtering

OctogleHire

48 hours to first match

Cost

Agency

$20K–$40K placement fees

Freelance

Low rates, variable quality

OctogleHire

40–60% less, no placement fee

Compliance

Agency

You manage it

Freelance

You manage it

OctogleHire

Fully managed (30+ countries)

Replacement

Agency

30–90 days (if any)

Freelance

None

OctogleHire

14–30 day replacement guarantee

Support

Agency

Account rep (9-5)

Freelance

Ticket system

OctogleHire

Dedicated account manager

Daniel bell
“We in need of a handful of developers for our internal CRM build after speaking with multiple agencies and receiving some quotations we sat down with Yaseen from Octogle and we were pleasantly surprised to see what was available for us within their talent pool. we took on three developers saving upwards of circa £6000 per month and developing the software in record time exactly how we wanted it. Highly suggest anyone to use octogle hire if you’re looking for a cost-effective high-quality software development solution.”
Daniel bellCMO, TNW Energy3Senior full stack developerss hired£225,000saved per year
Questions

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%.

No sales call in between

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.