Principal Software Engineer

As a Principal Software Engineer, you will play a pivotal role in driving Swivl's core product architecture, engineering excellence, and platform scalability. You will lead cross-functional execution, collaborate closely with product and business stakeholders, and build a high-performance engineering culture grounded in quality, agility, and accountability.

The Core Responsibilities For The Job Include The Following
Architecture and Technical Strategy:

• Define and evolve scalable, secure, and maintainable system architecture across services and platforms.
• Develop architectural blueprints and best practices, including microservices, event-driven systems, and observability standards.
• Own key technology decisions, ensuring they align with the product roadmap and long-term business objectives.

Hands-On Development And Product Thinking

• Contribute to critical codebases and lead by example in writing clean, well-documented, and production-ready code, while promoting best practices across the engineering team.
• Bring a product-first mindset to engineering; evaluate trade-offs and user impact in every decision.
• Collaborate with design and product teams to convert business needs into scalable technical solutions.
• Foster a product-first mindset within the team by actively participating in planning discussions, giving input on trade-offs, and advocating for technical solutions that improve user experience and platform stability.

Team Leadership And Mentorship

• Serve as a technical mentor and role model for the broader engineering team.
• Lead and review design discussions, conduct technical audits, and promote clean, modular, and testable code.
• Partner with the CTO and hiring team to attract, interview, and retain top-tier engineering talent.
• Foster a culture of continuous improvement, transparency, and accountability.

Platform Performance And Reliability

• Design for performance, scalability, and fault tolerance across services and workloads.
• Perform root-cause analysis for critical issues and lead initiatives for long-term technical stability.
• Build systems that support multi-tenant SaaS requirements, including observability, automation, and failover.

DevOps And Infrastructure Ownership

• Drive DevOps maturity in collaboration with including Kubernetes (EKS), Terraform, CI/CD pipelines, observability (logs, metrics, alerts).
• Oversee environment management and deployments from development through UAT and production.
• Drive infrastructure cost efficiency and production-readiness across all environments.

Cross-Functional Execution And Delivery

• Translate high-level product goals into detailed technical plans and milestones.
• Coordinate cross-functional engineering efforts with product managers, QA, and design leads.
• Lead technical delivery of large initiatives and own timelines, quality, and releases.

Continuous Innovation And Learning

• Stay up to date with industry trends and emerging technologies in backend, frontend, mobile, cloud, and AI integrations.
• Identify tech debt, legacy risks, or inefficiencies and lead transformation initiatives.
• Encourage experimentation, spike solutions, and architecture reviews for future-proofing.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 15+ years of experience building and scaling production-grade SaaS or enterprise software.
• Strong expertise in , TypeScript, MySQL/PostgreSQL, Redis, Kafka/MSK, Nextjs, React, React Native, and API design.
• Proficiency with AWS cloud services (EC2 RDS, S3 Lambda, SQS, etc. ) and infrastructure automation.
• Deep understanding of system design, architecture, database modeling, and distributed computing principles.
• Excellent debugging and problem-solving skills, especially in high-load and production scenarios.
• Outstanding communication and leadership skills, able to align engineering with business goals.

Preferred Skills

• Experience in FSM, ERP, CRM, or similar domains.
• Working knowledge of containerization and cloud-native patterns (e. g., Docker, Kubernetes).
• Experience with AI/LLM integrations or bot-driven workflows.
• Exposure to test automation, CI/CD best practices, and security-first development.

This job was posted by Bhavya B S from Swivl.