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Senior Database Reliability Engineer (PostgreSQL, IaC)

AI Summary
Capital.com is seeking a senior Database Reliability Engineer to build and operate resilient PostgreSQL platforms for a regulated trading environment. The role emphasizes high availability, disaster recovery, zero-downtime migrations, infrastructure as code, and SLO-driven database observability. The engineer will work extensively with AWS RDS/Aurora, Terraform, Ansible, Kubernetes, Prometheus, Grafana, and CI/CD pipelines. Responsibilities include incident response, security controls, capacity and cost optimization, and close partnership with application engineers on database usage. Success requires deep production PostgreSQL expertise and a strong automation-first operating model.
Remote from
Poland, Bulgaria, Cyprus
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
6 Dec 2026
Listing views
46
Application actions
4
Application toolkit

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Opportunity details

About this role.

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.

We are hiring a Senior Database Reliability Engineer for our Infrastructure Platform Team. You will design PostgreSQL platforms for resilience and high availability, automate everything you touch, and understand how our services use the database, from connection pools to ORM transactions. Your goal is to keep latency within SLO at a reasonable cost, through every change, failover and migration.

Our stack today: AWS RDS and Aurora (PostgreSQL, MySQL), Redshift, ClickHouse, Terraform, Ansible, Prometheus, VictoriaMetrics and Grafana, with Java services on Kubernetes.

Responsibilities:

  • Design and run highly available PostgreSQL across zones and regions, with automated, tested failover and fencing against split-brain.
  • Define all database infrastructure as code (clusters, parameters, networking, access, monitoring and backups), reviewed by peers and applied through CI/CD pipelines, with drift detection.
  • Build self-service database provisioning so product teams get a production-ready database without waiting on a ticket.Plan and execute migrations, upgrades and table moves with zero or near zero downtime, including cross-version, cross-cluster and cross-cloud work.
  • Partner with developers on schema changes, queries, connection pooling, transaction scope, retries and expand-and-contract migrations, so database issues are fixed at their source.
  • Define SLOs and build SLO-based alerts and dashboards (Prometheus, Grafana or similar) that catch latency and capacity problems before clients do.
  • Design backup and recovery, and prove it with scheduled restore and failover tests that measure RTO and RPO and produce evidence for auditors.
  • Keep cost in view: right-size instances and storage, and choose the cheapest option that meets the requirement.
  • Secure the data: least-privilege access, secrets from a secrets manager, encryption at rest and in transit, audited access and PII masking.
  • Lead and take part in incident response and on-call, write blameless post-mortems and make sure their actions get done.
  • Replace manual runbooks with automation, and document what remains.

Requirements:

  • Deep PostgreSQL production experience. You have run PostgreSQL at scale and understand MVCC, vacuum and bloat, locking, replication (physical and logical) and query planning from real incidents, not only from documentation.
  • Infrastructure as code as your normal way of working. Everything you build lives in version control and is reviewed before it is applied.
  • CI/CD in your day-to-day work. Your infrastructure and database changes, including schema migrations, reach production through pipelines. If console clicks, SSH changes or wiki steps are how changes normally happen in your current role, this position is not the right fit.
  • 5+ years running production databases as a DBRE, SRE, platform or database engineer, ideally with a large part on AWS (RDS or Aurora).
  • Experience designing high availability and disaster recovery: replication, automated failover, multi-region or multi-cloud redundancy, and the trade-offs between RTO, RPO and cost.
  • A track record of zero-downtime changes: online migrations, major version upgrades or moving data between clusters.
  • Understanding of how applications use databases: connection pools, ORMs (for example Hibernate), transaction scope, retries and idempotency, and safe deployment order.
  • Observability skills: you define what to measure, alert on SLOs and verify changes with data.Scripting in Python, Bash or Go to automate operational work.
  • Comfort in a regulated financial services environment, where access control, encryption and audit trails are non-negotiable.
  • Clear communication: you reason out loud, own outcomes and partner with developers instead of gatekeeping.

Nice to have:

  • Terraform and Ansible specifically, since they are our current tools.
  • MySQL in production.
  • Redshift, ClickHouse or DynamoDB.
  • Logical replication or CDC tooling (pglogical, AWS DMS, Debezium).
  • Kubernetes and running Java services in production.
  • Linux performance tuning and troubleshooting on self-managed database hosts.
  • Vault or another secrets manager.

Compensation

Additional Information

What you will get in return:

  • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
  • Work-Life Harmony: Join a company that genuinely cares about you – because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
  • Annual Performance Bonus: Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance.
  • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
  • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
  • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
  • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
  • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior reliability role involving production databases, multi-region resilience, regulated-data controls, and high-impact incident response. It requires sound technical judgment across PostgreSQL internals, cloud infrastructure, automation, and application architecture.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$170,000
US market range (per year)$145k–$200k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base-pay amount is disclosed. The annual figures are AI estimates for a senior DBRE in the US market and are not employer-verified; yearly cadence is inferred from the full-time senior engineering context.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a highly available PostgreSQL deployment across availability zones while preventing split-brain?

I would use a managed multi-AZ architecture where appropriate, define clear leader-election and fencing mechanisms, and automate failover testing. I would validate replication health, client reconnection behavior, RTO/RPO targets, and operational runbooks through scheduled recovery exercises.

How do you approach a zero-downtime PostgreSQL schema migration?

I use an expand-and-contract strategy: introduce backward-compatible schema changes, deploy application code that supports both versions, backfill or validate data safely, and only then remove obsolete structures. I monitor locks, query latency, replication lag, and rollback conditions throughout the rollout.

Which database signals would you include in SLO-based alerting for PostgreSQL?

I would combine user-facing latency and error indicators with leading operational signals such as connection saturation, replication lag, lock waits, slow queries, CPU, storage growth, IOPS, cache efficiency, vacuum progress, and backup or restore health. Alerts should be tied to actionable thresholds and error-budget risk rather than isolated noisy metrics.

How would you investigate increasing PostgreSQL latency after an application release?

I would correlate deployment timing with database dashboards, then inspect query plans, lock activity, connection-pool behavior, transaction duration, resource saturation, and ORM-generated SQL. I would mitigate the immediate customer impact first, such as by rolling back or throttling the change, then work with developers on a durable query, indexing, or transaction-scope fix.

How do you keep infrastructure-as-code changes safe for production database systems?

I keep all changes version-controlled, peer-reviewed, and applied through CI/CD with policy checks and environment-specific plans. I use staged rollouts, drift detection, backups, tested rollback procedures, and post-deployment verification so changes remain auditable and recoverable.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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