Principal Software Developer

Architecture and engineering responsibilities

• Lead scalable, highly available, fault-tolerant distributed-system design using Java, Spring Boot, microservices, and AWS.
• Drive system design across API contracts, data modeling, service boundaries, integrations, deployment, and architecture trade-offs.
• Apply Domain-Driven Design, event-driven architecture, object-oriented principles, and design patterns; lead reviews and establish reusable practices.
• Remain hands-on with coding, prototyping, complex features, enterprise applications, and critical problem-solving.
• Set standards for clean and secure code, reviews, CI, TDD, automated testing, and shift-left quality.
• Diagnose production issues, perform root-cause analysis, optimize APIs and databases, and support readiness through monitoring, tracing, logging, and alerting.

AI engineering and technical leadership

• Design and integrate AI capabilities in enterprise applications and engineering workflows; develop proofs of concept and production-oriented solutions.
• Apply LLMs, prompt engineering, RAG, orchestration, agentic workflows, tool calling, and MCP integrations where appropriate.
• Account for AI evaluation, hallucination mitigation, guardrails, security, observability, latency, and cost.
• Mentor engineers, influence technical direction across teams, collaborate with Product, QA, DevOps, Security, and Platform, and translate business problems into technical plans.
• Evaluate emerging technologies and recommend adoption based on value, maintainability, and sustainability.

Required qualifications

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience; typically 6–10 years of professional software engineering experience.
• Strong Java, Spring Boot, microservices, and object-oriented programming expertise; proven enterprise-scale distributed systems and high-availability architecture experience.
• Deep knowledge of system design, including caching, concurrency, transactions, consistency, fault tolerance, and asynchronous processing.
• Experience with AWS or comparable cloud platforms, containerization, Kubernetes, REST APIs, API gateways, security, and enterprise integration.
• Strong relational database, SQL optimization, and data modeling knowledge; experience with Kafka, SQS, or equivalent messaging platforms.
• Strong CI/CD, automated testing, observability, and production troubleshooting knowledge.
• Practical AI-assisted development experience and hands-on LLM integration, RAG, agentic workflow, or AI orchestration experience.
• Strong problem-solving, ownership, communication, and ability to influence technical decisions across teams.

Preferred experience

• Billing, payments, financial transactions, collections, or commerce platform experience is a plus.
• Customer-facing APIs, API-first platforms, payment integrity, idempotency, reconciliation, or PCI-related security knowledge is a plus.
• OpenTelemetry, Grafana, distributed tracing, Redis, Docker, infrastructure-as-code, or API management platforms are a plus.
• Amazon Bedrock, LangChain, LangGraph, MCP integrations, production AI applications, evaluation, monitoring, and guardrails are a plus.
• Mentoring engineers, driving architectural improvements, and balancing innovation with reliability, security, and business priorities are desirable.

Compensation

• Anticipated annual compensation is CAD $136,100–$147,800; eligible employees may also receive bonuses, commissions, equity, or other incentives.

Workplace

• The listing identifies the position as remote.

Benefits

• Benefits include open paid time off, quarterly days of disconnect, parental and pet leave, a fitness reimbursement, medical, dental and vision coverage, an employee assistance program, and a Calm App subscription.

About ABC Fitness