Ab Developer python, oracle pl/sql, java Jobs – 154 Openings This Week

Software Engineer — Sports Prediction Markets
Kachan Research Ltd. —Edmonton, AB
- $70,000–$130,000 a year
- Weekends as needed
- Hybrid work
- Databases
- APIs
- In-person
- Profit sharing
- Flexible schedule
Quick apply
IT / Coding, Robotics & Math Instructor – UCMAS Obotz
UCMAS Abacus & Mental Math School —Edmonton, AB
- $16.91–$20.00 an hour
- Part-time
- Java
- Math
- Communication skills
Quick apply
2d
Research Database Developer, Cumming School of Medicine
The University of Calgary —Calgary, AB
- Part-time
- Computer Science
- SQL
- Analysis skills
3d
Full Stack Java Technical Lead - React.js
HCLTech —Airdrie, AB
- Software troubleshooting
- Java
- Team management
12h
Software Developer
Promise Robotics —Calgary, AB
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Research
- Relocation assistance
- Dental care
Quick apply
Engineering Intern
EnerStar Solutions —Calgary, AB
- $24–$26 an hour
- Temporary
- CRM software
- Computer literacy
- Engineering
Quick apply
18h
Technology Analyst - DevOps
Infosys —Calgary, AB
- $72,783–$105,007 a year
- Software troubleshooting
- Java
- Bachelor's
Quick apply
4d
Mobile Application Developer
Surerus Murphy Joint Venture —Calgary, AB
- 8 hour shift
- Azure
- Computer Science
- Software troubleshooting
Quick apply
19h
Principal Software Development Engineer - Applied AI
Wagepoint —Calgary, AB
- $200,000–$220,000 a year
- Remote
- Engineering
- No experience needed
- Master's degree
Quick apply
Software Engineering Lead - Landmark
Halliburton —Calgary, AB
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Principal Software Escalation Engineer
Palo Alto Networks —Calgary, AB
- $146,000–$200,000 a year
- Full-time
- Engineering
- AWS
- Bachelor's
Staff Software Engineer
Royal Bank of Canada —Calgary, AB
- Full-time
- Azure
- System design
- SQL
Senior Civil Engineer with ML Programming Expertise
Alpha Adroit —Edmonton, AB
- AutoCAD
- Civil engineering
- Microsoft Outlook
Software Architect
GeoSoftware —Calgary, AB
- Contract
- Hybrid work
- Computer Science
- Engineering
- English
Quick apply
Senior Machine Learning Engineer
SkiptheDishes —Edmonton, AB
- Full-time
- SQL
- AWS
- Machine learning
Manager, Software Delivery Developer
KPMG —Calgary, AB
- Full-time
- Azure
- Computer Science
- Engineering
Senior Machine Learning Software Developer (2026-025)
Circle Cardiovascular Imaging —Calgary, AB
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Wellness program
- Tuition reimbursement
Quick apply
5d
Intermediate/Senior DevOps Engineer
Rival Technologies —Calgary, AB
- $95,000–$110,000 a year
- Remote
- Computer Science
- Software troubleshooting
- DevOps
- Dental care
- Paid time off
Quick apply
Senior Platform Engineer
Wagepoint —Calgary, AB
- $100,000–$140,000 a year
- On call
- Remote
- Azure
- DevOps
- AWS
Quick apply
Laboratory Technician C - Geomechanics
AGAT Laboratories —Calgary, AB
- Full-time
- Engineering
- Laboratory experience
- Maintenance
- Disability insurance
- Dental care
Quick apply

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Software Engineer — Sports Prediction Markets

Kachan Research Ltd.
Edmonton, AB

Quick apply

Job details

Full-time
$70,000–$130,000 a year

Qualifications

Statistics
Performance tuning
Software engineering
Pricing
Data integration
React
Kubernetes
Databases
Event-driven architecture
Statistical analysis
Decision making
Statistical modelling
Risk management
Quantitative modelling analysis
Project implementation
APIs
System development
React.js
Performing statistical data analysis
Software development or architecture experience
TypeScript
Python

Full job description

Software Engineer, Sports Prediction Markets

We build software and quantitative systems for sports contracts offered through CFTC-regulated prediction markets. We're looking for a strong software engineer who can take ownership of systems involving live sports data, contract pricing, player-performance markets, automation, and trading operations.

Engineering ability is the foundation of this role.

What You'll Work On

Build and improve systems for live sports and player-performance markets
Develop reliable pipelines for processing real-time sports and market data
Turn quantitative ideas and operational requirements into production software
Improve pricing formulas, market behavior, monitoring, and automation
Build internal tools that make trading and modeling workflows faster and more reliable
Investigate data discrepancies and unexpected system behavior
Refactor existing systems to improve their speed, clarity, and reliability
Take ownership of projects from an ambiguous problem through production deployment
Work directly with people responsible for trading, modeling, and business decisions

Availability Expectations

Sports don't happen on a 9 to 5 schedule. Games run on evenings, weekends, and holidays, and markets need to keep working through all of it. You should be comfortable with:

Providing on-call or hands-on support during evenings, weekends, and holidays when major games or events are live
Responding quickly when something breaks during a live market, regardless of time of day
Occasional schedule flexibility around high-volume sports periods (playoffs, marquee events, etc.)

This isn't a constant state, but it's a real and recurring part of the job. Please only apply if this schedule works for you.

What We're Looking For

Strong software engineering fundamentals
Experience building and maintaining production systems
Evidence that you can personally take a meaningful project from idea to completion
Ability to work independently without perfectly defined requirements
Sound judgment about correctness, reliability, and technical trade-offs
Comfort working with APIs, databases, data pipelines, and automated processes
Ability to understand an existing system before changing it
Clear communication and a willingness to identify risks early
Genuine interest in sports, prediction markets, modeling, or trading

Beyond engineering, we're particularly interested in demonstrated ability in at least one of these areas:

Quantitative modeling, forecasting, probability, or statistical analysis - including backtesting, calibration, or measuring predictive performance
Prediction markets, trading, pricing, execution, or risk management - including regulated prediction markets, event contracts, market making, or automated trading/execution systems

Also valuable: sports market or player performance modeling, real-time or event-driven applications, data ingestion from inconsistent third-party sources, and personally building and operating a model, bot, analytics product, or trading system.

You do not need conventional experience across every area. Some of the strongest candidates have built forecasting models, prediction market bots, automated trading systems, or sports analytics products independently.

Tech stack: Kubernetes, FastAPI, Python, React, and TypeScript. Experience with that stack is helpful, but strong engineering ability and evidence that you can learn quickly matter more than matching every technology.

What Success Looks Like

Within your first few months, you should be able to:

Understand the major components of our sports market systems
Take ownership of a meaningful production feature
Deliver reliable work with decreasing levels of direction
Improve the quality and maintainability of the systems you touch
Contribute useful thinking beyond implementation, whether in modeling, market behavior, trading workflows, or product design

Who Will Thrive Here

You'll likely enjoy this role if you're a builder who likes problems that cross traditional boundaries. You may be an engineer who thinks quantitatively, an engineer who follows markets, or someone who has learned by building and operating your own systems.

We care more about demonstrated ability, ownership, judgment, and rate of learning than credentials alone.

How to Apply

A resume alone is not sufficient. Please also submit a case study (800 words max) about one system you personally built.

Include a link to the system itself: repo, live product, or write-up. If it's confidential, describe it precisely without sharing protected details.
If you worked on it with others, say plainly what was yours.

We're not looking for a resume restated in prose. We're looking for the project that best shows how you think. Pick the one that does that, even if it's not your most "impressive" one on paper.

Applications without a case study and a link will not be reviewed. Please don't submit proprietary code or confidential information belonging to another organization.

Pay: $70,000.00-$130,000.00 per year

Benefits:

Flexible schedule
On-site parking
Profit sharing

Ability to commute/relocate:

Edmonton, AB T5L 4V5: reliably commute or plan to relocate before starting work (required)

Application question(s):

Please submit a case study (800 words max) about one system you personally built.

Tell us what it does, how you built it, and what happened once it was real. We're especially interested in what you learned or would do differently, particularly anywhere the system touched live or changing data, probability, pricing, or risk.
Include a link to the system itself: repo, live product, or write up. If it's confidential, describe it precisely without sharing protected details.
If you worked on it with others, say plainly what was yours.
We're not looking for a resume restated in prose. We're looking for the project that best shows how you think. Pick the one that does that, even if it's not your most "impressive" one on paper.

Location:

Edmonton, AB T5L 4V5 (required)

Work Location: Hybrid remote in Edmonton, AB T5L 4V5

Quick apply

Refine Your Search

developer python, oracle pl/sql, java jobs in ab

Software Engineer — Sports Prediction Markets

IT / Coding, Robotics & Math Instructor – UCMAS Obotz

Research Database Developer, Cumming School of Medicine

Full Stack Java Technical Lead - React.js

Software Developer

Engineering Intern

Technology Analyst - DevOps

Mobile Application Developer

Principal Software Development Engineer - Applied AI

Software Engineering Lead - Landmark

Principal Software Escalation Engineer

Staff Software Engineer

Senior Civil Engineer with ML Programming Expertise

Software Architect

Senior Machine Learning Engineer

Manager, Software Delivery Developer

Senior Machine Learning Software Developer (2026-025)

Intermediate/Senior DevOps Engineer

Senior Platform Engineer

Laboratory Technician C - Geomechanics

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