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‑

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 compa