Posted 1 hour ago
Software Engineer - Database
@ Jobgether
Remote in Canada
Pay:
$96,000–$192,000 a year
Requirements summary:
- At least 3 years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++.
- Strong SQL and PostgreSQL expertise, including a solid understanding of transactions and isolation levels.
- Strong computer science fundamentals, including data structures, concurrency, and distributed systems concepts.
- Understanding of replication, consistency, retries, idempotency, and techniques for maintaining data correctness when distributed services experience failures.
- Willingness to participate in on-call rotations and operational shifts.
- High attention to detail and a rigorous approach to developing software and managing data involved in financial transactions.
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2026-11-11
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Jobgether
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
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Full company description
Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals. We flip the hiring model by connecting talent only to roles that truly match, reducing noise for employers and eliminating wasted effort for candidates. Jobgether combines AI coaching, profile optimization, Match Score insights, and the world’s largest remote job database to help people land opportunities faster and with less bias. Our purpose is to make remote job search guided and intentional. Our mission is to become the world’s reference platform for remote talent, ensuring no professional remains invisible and every match is meaningful.
- LinkedIn followers
- 1,498,314
- People associated on LinkedIn
- 391
- Reported office locations
- Brussels, BE
- Business categories
- Internet
- Virtual Workforce
- Other recorded names
- Jobgether
- Profile identifies a recruitment agency
- No
- Reported total investment
- 2,557,655
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals. We flip the hiring model by connecting talent only to roles that truly match, reducing noise for…
| Field | Value |
|---|---|
| Industry | Internet Marketplace Platforms |
| Company size | 11-50 employees |
| Headquarters | Brussels |
| Organization type | Privately Held |
| Year founded | 2020 |
| Open jobs on Jobsy | 262 |
| View page |
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Software Engineer – Database based in Canada .
Join a globally distributed engineering team developing critical financial infrastructure for a regulated digital asset derivatives exchange, clearinghouse, and brokerage platform. In this role, you will build and maintain database-driven services that accurately record orders, trades, and settlements. You will contribute to the design of robust data models, PostgreSQL schemas, queries, and migrations, ensuring financial information remains consistent, auditable, and reliable. Working primarily with Haskell-based services, you will collaborate across engineering and operational teams to improve performance and support high-volume financial workflows. This is an opportunity to apply strong software engineering and database expertise to systems where data integrity, precision, and resilience are essential.
Accountabilities
Understand end-to-end order, trade, clearing, and settlement workflows to ensure reliable data handling across systems.
Design database schemas, constraints, and indexes for new features, using precise numeric types and audit trails to preserve financial data integrity.
Develop safe, reversible database migrations for large tables, minimizing locking and operational disruption.
Review database migrations proposed by other engineers to ensure quality, reliability, and consistency.
Analyze query execution plans and production performance metrics to identify bottlenecks and optimize queries, indexes, and data access patterns.
Monitor production systems, respond to alerts, and support operational activities such as daily settlement cycles.
Investigate production incidents, resolve root causes, and document findings and lessons learned.
At least 3 years of professional software engineering experience with a functional or strongly typed programming language such as Haskell, Rust, or C++.
Strong SQL and PostgreSQL expertise, including a solid understanding of transactions and isolation levels.
Strong computer science fundamentals, including data structures, concurrency, and distributed systems concepts.
Understanding of replication, consistency, retries, idempotency, and techniques for maintaining data correctness when distributed services experience failures.
Willingness to participate in on-call rotations and operational shifts.
High attention to detail and a rigorous approach to developing software and managing data involved in financial transactions.
A measurement-driven approach to performance optimization, with the ability to investigate issues before making changes.
Good judgment when using AI-assisted development tools, including the ability to review, test, and understand generated code before deployment.
Analytical thinking, curiosity, and a habit of understanding the reasons behind technical decisions and problems.
Calm, methodical judgment when handling production issues under pressure.
Strong collaboration and documentation skills, with the ability to work effectively across engineering, operations, risk, and compliance teams.
Knowledge of financial services, trading, or financial markets.
A bachelor's degree in computer science or a related field, or equivalent practical experience.
Experience with Haskell, particularly in PostgreSQL-backed services.
Production experience with AWS Aurora PostgreSQL.
Experience handling high-volume time-series or market data, such as tick data, order books, or event streams.
Familiarity with Atlas or other declarative database schema management tools.
Annual target salary range of $96,000–$192,000, depending on skills, experience, and role scope.
Equity participation.
Eligibility for a bonus program.
Additional compensation and benefits may include a wellness allowance and, for eligible US-based employees, medical, dental, vision, and 401(k) benefits.
Fully remote, full-time working arrangement.
Ongoing application acceptance unless a specific deadline is announced.
Design, develop, test, and deliver well-structured, well-reviewed features and fixes across exchange, clearinghouse, and brokerage services, primarily using Haskell.
Requirements:
Nice to have:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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