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Added 17 days ago
LD
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Knowledge of RS232 communication protocols, Linux operating systems, communications systems, and audio circuitry is considered an asset.
Added 17 days ago
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- $72,000 to $120,000 CAD / year
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Added 17 days ago
RL
Java Software Engineer
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Toronto, ON
- Full-time
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Senior Forward Deployed Engineer
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…“operating system” in the truest sense: just like iOS, Windows, or Linux, Shakudo’s end-to-end OS provides ever-evolving, fully automated, best-in-class open-source components tailored to…
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Senior Forward Deployment Engineer
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Added 17 days ago
Infrastructure Specialist
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Infrastructure Specialist
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QA Engineer - Data, ETL and API Testing
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Toronto, ON
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Added 17 days ago
CI
Linux Desktop Engineer
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Toronto, ON
- $89,355 to $124,779 CAD / year
The Linux Desktop Engineer will own the design, deployment, configuration, and structural maintenance of Celestica's high-performance Linux computing platform. This role directly supports…
Added 17 days ago
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…curiosity and hands-on problem-solving abilities, comfort with Linux development environments, and willingness to investigate complex technical…
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Added 17 days ago
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Added 17 days ago
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Added 17 days ago
BC
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Remote, Canada
- $81,600 to $102,000 CAD / year
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Advanced knowledge of Windows, macOS, and Linux operating systems.

RedCompass Labs

Java Software Engineer

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

Original job description

(Senior) Java Software Engineer

Location: Toronto, Canada (hybrid)

About RedCompass Labs

RedCompass Labs are payments experts focused exclusively on payments modernization. Over the last 23 years, RedCompass Labs has delivered 500+ projects across the world’s major payments schemes and platforms, including ISO 20022, SEPA, Swift, the Real-time Payments Network, and FedNow, ISO 20022 migrations, and FIS OPF, Finastra GPP, and ACI Worldwide.

Its flagship Payments Expert Agent is an AI solution purpose-built for the full payments modernization software development lifecycle. Trained on decades of deep payments expertise and more than 30,000 curated documents, the agent is certified to SOC 2 Type II.

RedCompass Labs supports clients from offices in London, Warsaw, Brussels, Miami, Boston, Toronto, and Pune. For more information, visit www.redcompasslabs.com.

Role Description

This role is to join an existing Technology Skill Network at RedCompass Labs, a group of IT enthusiasts and experts. Together with other team members, you be working on one of our projects on the payments integration system for international clients from the banking sector. You will have a real influence on technology and architectural decisions and work with the code. Daily, you will deal with the domain related to payments and the financial using knowledge about Java, Spring framework, Kafka and Cloud Technologies.

Key Responsibilities

Work with clients, RedCompass Labs engineering and other RedCompass Labs staff to understand requirements and implement technical solutions
Lead on engineering implementation
Cooperate with other experts and architects to develop a solution
Contribute to engineering ceremonies, ways of working and solution development activities as a member of the engineering team
Share your knowledge, experience and best practice with other members of the engineering team and wider RedCompass Labs
Contribute to the deployment of our platform on commercial cloud and client on-premise environments
Contribute to the on-going evolution of our development environment and platform automated deployment

Required Technologies& Reqirements

Java 17 and above
Spring Boot Ecosystem
Data processing, analysis and modelling
Relational databases (JPA, hibernate) and NoSQL DB (e.g. Mongo)
Microservices architecture
Kafka
Elastic stack (Elastic Search, Kibana)
Docker containers and Linux OS
Excellent communication skills (written & oral English) including the ability to communicate and present both at a technical and non-technical level
Strong communication and collaboration abilities, including working directly with client teams

Preferred Qualifications

Reactive programming: Webflux/Reactor
Kubernetes/OpenShift
Messaging system, e.g. IBM MQ
Analytics and algorithms such as graph, clustering, supervised & unsupervised machine learning
DevOps technologies, such as: Jenkins, Ansible, Gradle, Hashicorp stack (Terraform, Vault, Consul)
Deploying software in a regulated financial services environment

Why Join RedCompass Labs

Work on high‑impact financial technology projects that shape the future of payments and AI‑driven innovation
Join a trust‑based, transparent, and collaborative culture where your voice matters and ideas influence outcomes
Enjoy real ownership and autonomy in how you approach challenges, deliver work, and grow your expertise
Be part of a diverse and inclusive global team across Canada, the UK, Europe, and Asia, where fairness and meritocracy guide every decision
Collaborate daily with senior industry experts and leaders, accelerating your professional development
Experience a human, respectful, and well‑structured recruitment and onboarding journey designed around clarity and mutual fit
Grow through continuous learning, cross‑functional work, and exposure to both consulting and product‑building environments
Join a company that values integrity, curiosity, and continuous improvement, and empowers you to make meaningful impact from day one.

Competitive Package

Competitive base salary and a performance bonus (up to 10% of annual salary)
Medical insurance for you and your family
22 days of annual leave + public & bank holidays
5 days of full-paid Sick Leave
This role follows a hybrid work arrangement, with an expected at least 60% onsite presence at our office located at 1 University Ave, Toronto, ON M5J 2P1.

Please Note

Before applying, please review the requirements carefully:

We can only consider candidates based in Toronto, Canada - applications from outside this region will not be considered.

RedCompass Labs is committed to building a diverse and inclusive workplace, ensuring fair and equitable opportunities for all. This commitment drives innovation and enables us to deliver better outcomes for our clients.

RedCompass Labs may use AI-enabled tools to support parts of our recruitment process, such as reviewing applications or preparing information for our recruiters. All hiring decisions are made by members of our team, using human review and judgement - no candidate is selected or rejected solely on an AI-generated output. If you have questions about how these tools are used in your application, or would like to request an alternative process, please contact our Talent Acquisition Team (recruitment@redcompass.com).

Apply About employer

More about this job

Responsibilities

Work with clients, engineers, and architects to understand requirements, make technical and architectural decisions, and lead implementation of payment integration solutions. Contribute to engineering practices, platform deployment in cloud and on-premise environments, and the ongoing improvement of development and automated deployment processes.

Requirements

Candidates should have experience with Java 17 or later, the Spring Boot ecosystem, data processing and modeling, relational and NoSQL databases, microservices, Kafka, the Elastic Stack, Docker, and Linux. Strong written and spoken English communication and the ability to collaborate with client teams are required; reactive programming, Kubernetes or OpenShift, messaging systems, DevOps tools, and regulated financial services experience are preferred.

Skills

Java
Spring Boot
Data Processing
Data Analysis
Data Modeling
Relational Databases
JPA
Hibernate
NoSQL
MongoDB
Microservices
Kafka
Elastic Stack
Docker
Linux
Client Communication

Benefits

Performance Bonus
Medical Insurance
Annual Leave
Paid Sick Leave

Visa sponsorship

Not detected in the job text

Keywords

Java 17
Spring Boot
Payments Modernization
Payment Integration
ISO 20022
SEPA
Swift
Real-Time Payments
FedNow
FIS OPF
Finastra GPP
ACI Worldwide
Data Processing
Data Analysis
Data Modeling
Relational Databases
JPA
Hibernate
NoSQL
MongoDB
Microservices
Kafka
Elastic Stack
Elasticsearch
Kibana
Docker
Linux
WebFlux
Reactor
Kubernetes

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