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Added 3 hours ago
SP
Solutions Architect, Salesforce Migrations (Data360, Revenue, Tableau, or Marketing Clouds)
Salesforce Partner Canada
Toronto, ON
- Full-time
…bridges a customer's legacy environment with their future-state platform - accelerating timelines through automated playbooks and AI-assisted tooling, while serving as a direct feedback…
Added 6 hours ago
O
Sr. Software Developer
OpenText
Richmond Hill, ON
- Full-time
The Senior Software Developer is a hands-on technical contributor and emerging technical lead who designs, develops, and supports Java and Spring Boot microservices running on Google Cloud…
Added 6 hours ago
RD
Technical Project Manager - AI
Randstad Digital
Montreal, QC · Greater Montreal Metropolitan Area
- $70 to $90 CAD / hour
- Contract
…orchestrate high-impact technology initiatives across enterprise data platforms, financial systems transformation, and AI-assisted software delivery workflows. Operating at the intersection…
Added 8 hours ago
IG
Network Operations Engineer
Insight Global
Vancouver, BC
- $65 to $75 CAD / hour
- Contract
As a Platform Engineer, Network Operations you will design and build internal developer platforms and core infrastructure independently that enable engineering velocity and operational…
Added 8 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly…
Added 9 hours ago
S
Gestionnaire principal.e, Processus et produit // Senior Manager, Process & Product
SSENSE
Montreal, QC
- Full-time
SSENSE is a global technology platform operating at the intersection of culture, community, and commerce. Headquartered in Montreal, it features a mix of established and emerging luxury…
Added 11 hours ago
E
AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
This specialist will bridge the gap between AI development pipelines, secure networking infrastructure, and cloud platform services. They will take a hands-on lead in configuring…
Added 11 hours ago
A
Salesforce Devops Lead
ATB
Calgary, AB · Edmonton, AB
- Full-time
As ATB’s next Salesforce DevOps Developer Lead, you will have the unique opportunity to provide technical leadership to scale and centralize our Salesforce capabilities into a unified,…
Added 11 hours ago
Q
Director of Product & Strategy, CXM Flex
Quadient
Toronto, ON
- $221,600 to $332,400 CAD / year
- Full-time
This is a high‑impact role at the intersection of mature platform stewardship and modernization. This leader will lead a small, focused Product Management team, partner closely with R&D,…
Added 11 hours ago
T
Service Desk - System & Security Tier 2
TEEMA
Calgary, AB
- Full-time
A hands-on Tier 2 seat working under the service delivery lead. The work is escalations off the frontline, bounded project delivery, security control implementation and regular onsite…
Added 11 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 12 hours ago
O
Staff FullStack Engineer, Secures AI
Okta
Toronto, ON
- $160,000 to $220,000 CAD / year
- Full-time
…standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access - enforcing the…
Added 12 hours ago
O
Staff FullStack Engineer, Secures AI
Okta
Waterloo, ON
- $160,000 to $220,000 CAD / year
- Full-time
…standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access - enforcing the…
Added 12 hours ago
O
Staff FullStack Engineer, Secures AI
Okta
Kitchener, ON
- $160,000 to $220,000 CAD / year
- Full-time
…standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access - enforcing the…
Added 12 hours ago
R&
Senior Delivery Manager
Robots & Pencils
Canada
- Full-time
Lead end-to-end delivery of complex, multi-phase engagements, ensuring alignment across scope, budget, timeline, and quality to meet delivery commitments and achieve successful outcomes
Added 15 hours ago
S
Senior Manager, Process & Product
SSENSE
Montreal, QC
- Full-time
As the Senior Manager, Process & Product, you will lead a specialized team responsible for shaping SSENSE’s Planning, Merchandising, and Creative platforms. Acting as the critical bridge…
Added 16 hours ago
Director, Network & Security AI and Automation
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Lead the engineering and integration of AI security tooling and controls within the Network & Security Services mandate, partnering with enterprise architecture, information security,…
Added 17 hours ago
Staff FullStack Engineer, Secures AI
Okta
Toronto, ON
…standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access - enforcing the…
Added 19 hours ago
Senior Forward Deployed AI Engineer
Bell
Mississauga, ON
Embed into transformation squads and lead agentic software development builds, owning each engagement end-to-end.
Added 20 hours ago
Head of Data Engineering
Ambyint
Calgary, AB
As the Head of Data Engineering at Ambyint, you will lead the vision, strategy, and execution of our enterprise data architecture and roadmap. You will manage and empower a high-performing…
Added 21 hours ago
GM
Senior Software Developer - CI/CD and Software Development Tools
General Motors
Markham, ON
- Full-time
Monitor and analyze pipeline and platform performance, reliability, and software quality metrics; identify bottlenecks and implement data-driven improvements.
Added 23 hours ago
SF
Senior Site Reliability Engineer
Safe Fleet
Coquitlam, BC
- Full-time
At Safe Fleet our name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products, ground-breaking…
Added 23 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 1 day ago
SC
Senior Developer
SAP Careers
Montreal, QC
- $108,100 to $222,800 CAD / year
- Full-time
…are areas you'll implement and improve. You'll partner with platform, data, and AI teams to design robust, production-ready solutions and improve system integration. System scalability,…
Added 1 day ago
M
Director Engineering
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Lead multiple direct reports and their squads, with accountability for resourcing, performance, capability development, delivery effectiveness and consistent engineering standards across…

SAP Careers

Senior Developer

Montreal, Montreal, QC, Canada

$108,100 to $222,800 CAD / year · Full-time

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Job details

Pay: $108,100 to $222,800 CAD / year
Job type: Full-time
Experience: 6+ years of professional software development experience
Posting language: English
Posted: Oct 28, 2026

Original job description

Job Description

We are looking for a dynamic and motivated Senior Software Developer who embrace AI-assisted software development as part of their everyday engineering practice to join our engineering team. The SAP Customer Experience – Order Management Services (SAP CX OMS) unit builds and maintains high-quality cloud-native microservices. These microservices manage the order lifecycle and work closely with SAP Commerce Cloud and SAP S/4HANA. You'll work in a collaborative, agile team where quality engineering and customer impact go hand in hand.

What You'll Do

You will design and build scalable application systems independently. These systems will include AI-native components. They will also feature advanced RAG pipelines and multi-agent workflows. Evaluation and benchmarking frameworks to measure AI system quality, reliability, and performance are things you'll build and own. You'll optimize latency, throughput, and cost efficiency across systems. Observability and SRE practices, including monitoring, alerting, incident response, and root cause analysis, are areas you'll implement and improve. You'll partner with platform, data, and AI teams to design robust, production-ready solutions and improve system integration. System scalability, resilience, and maintainability are areas you'll continuously work to strengthen.

You will use AI-powered development tools to accelerate software delivery. From comprehending requirements and exploring designs to generating code, creating tests, debugging, documenting, and improving existing services.

Design, develop, and test complex, scalable and performant cloud-native microservices for SAP's Order Management platform
Participate in full-sprint cycles: refinement, development, code review, and deployment
Write unit, integration, and contract tests to ensure production-grade quality
Own technical quality: establish coding standards, lead code reviews, and champion test automation practices
Contribute to CI/CD pipelines and apply DevOps practices to automate build, test, deployment, and operational processes (SAP BTP, Kubernetes, GitHub Actions)
Collaborate with architects, developers, product managers and other engineering teams to translate business requirements into technical solutions
Monitor application health, performance, and reliability and proactively address issues. Troubleshoot complex production issues across application, integration, and infrastructure layers; drive root cause analysis and permanent fixes
Support technical documentation and knowledge sharing within the team
Use AI-assisted development tools every day. These tools help accelerate development. They also ensure high standards for architecture, security, performance, reliability, and maintainability. Review, validate, test, and improve AI-generated code rather than blindly accepting it
Stay current with emerging AI technologies and actively explore how new tools can improve engineering productivity. Define and enforce team-level standards for AI-assisted development. Bring recommendations to the team with a clear cost/benefit view

What You Bring

You have deep experience in distributed systems and scalable application design, with strong hands-on skills in LLMs, advanced RAG patterns, and agentic workflows. Proficiency in system design for scale, resiliency, and fault tolerance is required. Strong experience in performance optimization, cost management, and troubleshooting complex production systems is essential. A solid understanding of SRE principles, observability (logs, metrics, tracing), and incident management is expected. Experience designing evaluation frameworks for AI systems, validating model behavior, and applying agentic engineering patterns is critical. Technical leadership and mentoring ability are also part of what you'll bring.

Bachelor's degree in Computer Science, Information Technology, or a related field - or equivalent functional experience
6+ years of professional software development experience
Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar in a professional setting. Deep, functional fluency with AI developer tools across the full SDLC (design, coding, testing, observability) and awareness of the limitations and costs
Expert level in Java; experience with Spring Boot preferred and proven experience with REST API design and asynchronous messaging (Kafka, or similar)
Knowledge of microservices architecture and cloud-native patterns
A solid knowledge of software engineering basics. Awareness of microservices architecture and cloud-native patterns. Insight into clean code principles.
Experience with CI/CD tooling (Kubernetes, Jenkins, GitHub Actions, ArgoCD, or similar)
Working knowledge of relational and/or NoSQL databases
Comfortable working in an agile/scrum environment
Drive clarity instead of waiting for it
Solid communication skills; able to work across distributed, cross-functional teams and present to stakeholders

Nice to Have

Knowledge of OMS domain concepts (order capture, fulfillment, ATP, returns)
Knowledge with cloud platforms - SAP BTP and Azure
Contributions to open-source projects

How You Work

You'll take end-to-end technical ownership of critical systems and contribute to engineering excellence across the team. Mentoring less-experienced engineers, guiding design and code quality, and building strong technical capabilities within the team are all part of the role. The team operates across global, cross-functional groups in a culture that values continuous improvement, operational excellence, and knowledge sharing.

You enjoy being the go-to technical resource for the team - unblocking colleagues, pairing on hard problems, and accelerating onboarding of new members
You take ownership of what you build, including its quality and operation in production
You are curious, continuously learning, and comfortable working with new technologies
You believe automation should eliminate repetitive work and improve quality
You collaborate openly and enjoy solving complex problems with others
You are realistic: you can balance technical excellence with customer and business priorities
You care about delivering software that is reliable, secure, scalable, and easy to maintain
You are comfortable doing AI-native development while applying robust engineering judgment

We value the skills you bring and support you to build on them through our learning and development opportunities. These are the skills associated with this role:

Cloud Architecture · Customer Relationship Management · Complex Problem Solving · Collaboration · Cloud Strategy · Cloud Security Infrastructure · Service Management · Effective Communication · Technology Roadmaps · Issue Management · Cloud Infrastructure · Operational Risk Management · Observability · AI-Assisted Architecture Decisions · AI-Threat Detection · Context Engineering · AI Output Quality Assurance · Agentic AI Day-to-Day Practice · AI-Assisted Automation and Prototyping · AI Adoption Capability

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Additional Information

About SAP With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives. As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Compensation Range Transparency
SAP believes pay transparency is essential to fostering an honest, supportive, and inclusive culture and is an important part of our commitment to pay equity. The salary range for this position is included in the job posting. The actual compensation offered to the successful candidate will fall within that range and will depend on factors such as education, skills, experience, location, and scope of the role, as determined through the selection process. Where applicable, SAP may also provide variable incentive opportunities and additional benefits, subject to the terms of the relevant plans and policies. Any variable incentive amount is target-based, with actual payouts dependent on company and individual performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process.

Company Description

You'll join the CX Order Management Services team, a cloud-native engineering group building the backbone of SAP's commerce fulfillment ecosystem. We ship features that directly impact how global enterprise customers manage orders at scale. In our team, we value technical craftsmanship, open feedback, and have a people-first culture. Our environment is safe to let people be themselves and leverage their strengths.This high-performance and fast-paced environment is assured to provide rich opportunities for learning and growing.

You will join a new team focused on building and maintaining the core of our OMS product from common backend services to CI/CD, you will get to collaborate with all the teams in the group and a wide variety of tasks

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More about this job

Responsibilities

You will design and build scalable, AI-native cloud microservices while optimizing system performance, latency, and cost efficiency. Additionally, you will lead technical quality initiatives, mentor team members, and implement SRE practices to ensure production-grade reliability.

Requirements

The role requires 6+ years of professional software development experience with expert-level Java skills and proficiency in distributed systems and AI-assisted development tools. A bachelor's degree in Computer Science or a related field is required, along with strong experience in cloud-native architectures and CI/CD pipelines.

Skills

Java
Spring Boot
Microservices
Cloud-native
Kubernetes
AI-assisted development
LLMs
RAG pipelines
System design
Observability
CI/CD
DevOps
Kafka
REST API
Agile
Technical leadership

Benefits

Health and well-being programs
Flexible working models
Learning and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Java
Spring Boot
Microservices
Cloud-native
Kubernetes
AI-assisted development
LLMs
RAG
Kafka
REST API
CI/CD
DevOps
SRE
Observability
Agile
Scrum
SAP BTP
Azure
GitHub Actions
ArgoCD
Jenkins
NoSQL
Relational databases
System design
Technical leadership
Order Management Services
Cloud architecture
Performance optimization
Incident management
Agentic workflows

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