Principal Software Developer

ABC Fitness

. Lead architecture and design of scalable, highly available, fault-tolerant distributed systems using Java, Spring Boot, microservices, and AWS .

Posted 11/10/2026full-timeRemote • CanadaLead💰 CA$136,100 - CA$147,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable, fault-tolerant distributed systems using Java, Spring Boot, and AWS, while applying Domain-Driven Design and event-driven architecture. Proven ability to lead technical discussions, mentor teams, and drive architectural improvements across multiple teams.

Highest-signal resume keywords

Java DevelopmentSpring Boot FrameworkMicroservices ArchitectureAWS Cloud ServicesEvent-Driven Systems

ATS Keywords

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Hard Skills

Distributed Systems DesignRESTful API DevelopmentSQL/NoSQL Database ManagementTest-Driven DevelopmentAutomated Testing

Soft Skills

Excellent CommunicationProblem-Solving AbilitiesMentoring and Leadership

Tools & Technologies

KafkaDockerKubernetesCI/CD PracticesOpenTelemetry

Certifications & Qualifications

Bachelor's Degree in Computer Science or Engineering

Industry Keywords

High-Availability ArchitecturesAPI ManagementFinancial TransactionsObservabilityAI Integration

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerGrafanaJavaKafkaKubernetesMicroservicesNoSQLRedisSDLCSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact

Lead 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, 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
Remain 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, automated testing, and shift-left quality practices
Troubleshoot production issues, perform root cause analysis, and implement 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
Design and integrate AI-powered capabilities into enterprise applications and engineering workflows
Develop proofs of concept and production-oriented solutions using AI APIs, orchestration frameworks, and enterprise integration patterns
Evaluate AI workflows, tool calling, MCP-based integrations, guardrails, security, observability, latency, and cost
Identify opportunities to improve engineering productivity through AI-assisted development, testing, documentation, and troubleshooting
Mentor senior engineers, technical leads, and developers
Influence architecture and engineering practices across multiple teams
Collaborate with Product, QA, DevOps, Security, and Platform teams
Translate ambiguous business problems into technical designs and actionable engineering plans
Drive technical discussions, resolve complex engineering challenges, communicate architectural decisions, and evaluate emerging technologies

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
6–10 years of professional software engineering experience
Strong hands-on expertise in Java, Spring Boot, microservices, and object-oriented programming
Experience designing distributed systems, scalable APIs, and high-availability architectures
Deep understanding of 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
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 ownership of complex technical initiatives
Excellent communication skills and ability to influence technical decisions across teams
Experience with Billing, Payments, Financial Transactions, Collections, or Commerce platforms is a plus
Experience with customer-facing APIs and API-first platforms is a plus
Knowledge of payment processing, transaction integrity, idempotency, reconciliation, and PCI-related security considerations is a plus
Experience with OpenTelemetry, Grafana, distributed tracing, and modern observability platforms is a plus
Experience with Redis, Kafka, Kubernetes, Docker, and infrastructure-as-code is a plus
Experience with API management platforms such as Gravitee, Apigee, or Kong is a plus
Hands-on experience with Amazon Bedrock, LangChain, LangGraph, or similar AI orchestration technologies is a plus
Experience designing and deploying production AI applications, including evaluation frameworks, monitoring, and guardrails is a plus
Familiarity with MCP servers, tool integrations, and enterprise agentic systems is a plus
Experience driving AI-assisted SDLC automation or engineering productivity initiatives is a plus
Experience mentoring engineers and driving architectural improvements across multiple teams is a plus
Demonstrated ability to balance technical innovation with production reliability, security, and business priorities is a plus

Benefits

Comp & perks

Open PTO policy
Quarterly Days of Disconnect paid day off
Parental & Pawternity Leave
Quarterly Best Life fitness reimbursement
Medical/Dental/Vision coverage
EAP (Employee Assistance Program)
Calm App subscription for employee and up to 4 dependents over age 16
Values-focused culture and professional development opportunities
Flexible work arrangements through remote work