Principal Software Developer

Join ABC Fitness and become part of a culture that’s as ambitious as it is authentic. Let’s transform the future of fitness—together!

Our Values

Best Life

We believe great work begins with great people. That’s why our culture is built on respect, trust, and belonging. We create an inclusive environment where every team member can bring their authentic self to work—because diverse perspectives drive innovation and meaningful impact.

Growth Mindset

We are doers, thinkers, and dreamers. At ABC Fitness, your growth is our investment. Through continuous learning, mentorship, and professional development opportunities, we empower you to reach new heights—personally and professionally.

One Team

From day one, you’ll be part of a team that collaborates, celebrates, and cares. We move fast, support one another, and have fun along the way. Because when you thrive, we all thrive.

RESPONSIBILITIES:

System Design & Architecture

• •Lead the architecture and design of scalable, highly available, fault-tolerant distributed systems using Java, Spring Boot, microservices, and AWS.
• •Drive end-to-end system design, including API contracts, data modelling, service boundaries, integration patterns, and deployment architecture.
• •Apply Domain-Driven Design (DDD), event-driven architecture, object-oriented principles, and established design patterns.
• •Design and optimize RESTful APIs, asynchronous messaging systems, and event-driven integrations using Kafka and other messaging technologies.
• •Make architectural decisions involving scalability, consistency, performance, reliability, security, and cost optimization.
• •Lead technical design reviews, evaluate architectural trade-offs, and establish reusable engineering patterns across teams.
• •Identify technical debt, architectural bottlenecks, and modernization opportunities

Hands-on Engineering & Technical Excellence

• •Remain actively involved in hands-on coding, prototyping, complex feature implementation, and critical technical problem-solving.
• •Develop and maintain enterprise applications using Java, Spring Boot, SQL/NoSQL databases, and cloud-native technologies.
• •Establish engineering standards for clean code, secure coding, automated testing, code reviews, and continuous integration.
• •Drive Test-Driven Development (TDD), automated testing, and shift-left quality practices.
• •Troubleshoot complex production issues, perform root cause analysis, and implement sustainable corrective actions.
• •Optimize system performance, API latency, database efficiency, and resource utilization.
• •Promote production readiness through observability, distributed tracing, structured logging, monitoring, and proactive alerting

AI Engineering & Innovation

• •Design and integrate AI-powered capabilities into enterprise applications and engineering workflows.
• •Demonstrate practical understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI orchestration patterns.
• •Evaluate and implement agentic AI workflows, tool calling, and Model Context Protocol (MCP)-based integrations where appropriate.
• •Develop Proofs of Concept (POCs) and production-oriented solutions using AI APIs, orchestration frameworks, and enterprise integration patterns.
• •Understand key AI engineering considerations including evaluation, hallucination mitigation, guardrails, security, observability, latency, and cost.
• •Identify opportunities to improve engineering productivity through AI-assisted development, testing, documentation, and troubleshooting.
• •Collaborate with engineering teams to introduce AI-enabled solutions that deliver measurable business or engineering value.

Technical Leadership & Collaboration

• •Serve as a technical authority and mentor for senior engineers, technical leads, and developers.
• •Influence architectural direction and engineering practices across multiple teams without relying on direct reporting authority.
• •Collaborate with Product, QA, DevOps, Security, and Platform teams to deliver end-to-end solutions.
• •Translate ambiguous business problems into clear technical designs and actionable engineering plans.
• •Drive technical discussions, resolve complex engineering challenges, and communicate architectural decisions effectively.
• •Evaluate emerging technologies and recommend adoption based on business value, maintainability, and long-term sustainability.

QUALIFICATIONS :

• •Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• •Typically 6-10 years of professional software engineering experience, including significant experience designing and delivering enterprise-scale applications.
• •Strong hands-on expertise in Java, Spring Boot, microservices, and object-oriented programming.
• •Proven experience designing distributed systems, scalable APIs, and high-availability architectures.
• •Deep understanding of system design concepts including caching, concurrency, database transactions, consistency, fault tolerance, and asynchronous processing.
• •Experience with AWS or comparable cloud platforms, containerization, and Kubernetes.
• •Experience with RESTful APIs, API gateways, authentication, authorization, and enterprise integration patterns.
• •Strong knowledge of relational databases, SQL optimization, and data modelling.
• •Experience with event-driven systems and messaging platforms such as Kafka, SQS, or equivalent technologies.
• •Strong understanding of CI/CD, automated testing, observability, and production troubleshooting.
• •Practical experience using AI-assisted development tools and applying AI capabilities to engineering problems.
• •Working knowledge of LLM integration, RAG, agentic workflows, or AI orchestration, supported by hands-on implementations or meaningful technical projects.
• •Strong problem-solving abilities and demonstrated ownership of complex technical initiatives.
• •Excellent communication skills and the ability to influence technical decisions across teams.

AND IT'S GREAT TO HAVE

Experience in Billing, Payments, Financial Transactions, Collections, or Commerce platforms.

Experience designing customer-facing APIs and API-first platforms.

Knowledge of payment processing, transaction integrity, idempotency, reconciliation, and PCI-related security considerations.

Experience with OpenTelemetry, Grafana, distributed tracing, and modern observability platforms.

Experience with Redis, Kafka, Kubernetes, Docker, and infrastructure-as-code.

Experience with API management platforms such as Gravitee, Apigee, or Kong.

Hands-on experience with Amazon Bedrock, LangChain, LangGraph, or similar AI orchestration technologies.

Experience designing and deploying production AI applications, including evaluation frameworks, monitoring, and guardrails.

Familiarity with MCP servers, tool integrations, and enterprise agentic systems.

Experience driving AI-assisted SDLC automation or engineering productivity initiatives.

Experience mentoring engineers and driving architectural improvements across multiple teams.

Demonstrated ability to balance technical innovation with production reliability, security, and business priorities.



 Compensation for this role will be determined based on a variety of factors, including relevant experience, qualifications, skills, geographic location, and market considerations. The anticipated compensation range for this position is -

$136,100 - $147,800 CAD- annually. In addition to base compensation, eligible employees may be offered other forms of compensation, such as bonuses, commissions, equity, or other incentive programs, where applicable. Compensation and benefits may vary by location and are subject to applicable legal, business, and market requirements.

 WHAT’S IN IT FOR YOU :

• •Purpose led company with a Values focused culture – Best Life, One Team, Growth Mindset
• •Time Off – with our open PTO policy, we offer flexibility in how and when you take