Senior Fullstack Engineer

Accountabilities

Full-stack development: Design, develop, test, and maintain scalable product features across the frontend and backend using Laravel, PHP, React, Next.js, and other relevant technologies.
API and integration development: Build and maintain robust APIs, third-party integrations, and reusable software components that support the platform's evolving business requirements.
Architecture and technical evolution: Contribute to the platform's architectural improvements, including the transition toward event-driven architecture and domain-driven development, while supporting a modular monolith approach where appropriate.
Cloud-native engineering: Develop and maintain applications within AWS-based environments, leveraging technologies such as Kubernetes (EKS), CI/CD pipelines, and observability tools to improve reliability and scalability.
Database design and optimization: Design, implement, and optimize relational data models using Aurora MySQL, PostgreSQL, and related technologies to support performance, data integrity, and long-term growth.
Quality engineering and testing: Establish and maintain effective test strategies, write unit tests, improve automated testing frameworks, monitor pipeline health, and proactively prevent regressions.
Performance and reliability: Identify bottlenecks, troubleshoot complex issues, and continuously improve application performance, system stability, and overall software quality.
Cross-functional collaboration: Partner with Product, Design, QA, and other engineering stakeholders to scope features, understand user needs, and deliver solutions that create measurable customer value.
Technical leadership and mentorship: Lead by example through high-quality code, peer reviews, technical guidance, documentation, and knowledge sharing to strengthen engineering standards across the team.
Engineering strategy and discovery: Participate in technical discovery, feature scoping, architectural discussions, and implementation planning, helping shape medium-term technical decisions and product direction.
Accessibility and localization: Ensure the platform delivers accessible, inclusive, and localized experiences for users across multiple countries and regions.
Security and compliance: Apply security-conscious engineering practices and support compliance requirements aligned with frameworks such as ISO 27001 and SOC 2.
AI-assisted development: Use AI-powered coding assistants and automation tools to accelerate feature delivery, improve testing, and streamline development workflows. Where appropriate, contribute to AI-enhanced product experiences using large language model APIs and prompt design.
Documentation and knowledge management: Maintain clear technical documentation covering code, architectural decisions, implementation details, and operational processes to support collaboration and long-term maintainability.
Continuous improvement: Identify opportunities to improve developer productivity, platform architecture, product quality, and engineering processes while taking ownership of technical challenges from discovery through delivery.
Requirements
At least four years of experience building and delivering SaaS products end to end, ideally in multi-region or globally distributed environments.
Strong full-stack engineering expertise, with the ability to work confidently across frontend interfaces, backend services, APIs, and databases.
Proficiency in Laravel or modern PHP frameworks, alongside experience with contemporary frontend technologies such as React, Next.js, or Vue.
Practical experience with debugging tools such as XDebug, writing unit tests, conducting code reviews, and maintaining high standards of code quality.
Experience designing and developing scalable APIs, integrations, reusable components, and maintainable software architectures.
Familiarity with mobile application development, particularly React Native, is beneficial.
Hands-on experience with AWS cloud infrastructure, Kubernetes or EKS, CI/CD pipelines, and application observability.
Understanding of modular monolith architectures, with the ability to contribute to architectural improvements and maintain clear domain boundaries.
Strong experience with relational databases, particularly Aurora MySQL or PostgreSQL, including data modeling, query optimization, and performance tuning.
Knowledge of event-driven systems, asynchronous processing, and messaging technologies such as AWS SQS, Kafka, or Pub/Sub is advantageous.
Experience working in security-conscious or compliance-regulated environments, particularly those aligned with ISO 27001 and SOC 2.
Understanding of accessibility standards, localization, scalability, and the needs of users operating across different markets.
A strong testing mindset, including test strategy development, automated validation, regression prevention, and continuous monitoring of pipeline health.
Familiarity with AI-assisted development tools such as GitHub Copilot or Gemini, and the ability to use them effectively to improve development speed and quality.
Experience integrating generative AI into product features through LLM APIs, prompt design, or AI-enabled workflows is an advantage.
Excellent analytical and problem-solving skills, with the ability to investigate complex technical issues, take initiative, and deliver practical solutions.
Strong written and verbal communication skills, including a documentation-first mindset and the ability to explain technical decisions clearly.
A product-oriented approach, with a genuine interest in understanding customer needs and delivering accessible, reliable, and valuable user experiences.
Demonstrated leadership through influence, including mentoring peers, sharing knowledge, raising engineering standards, and helping teams navigate ambiguity.
The ability to adapt to changing priorities, work collaboratively across disciplines, and take ownership of projects from technical discovery through implementation.
Additional experience that would be advantageous:
Experience with data and analytics platforms such as Looker, BigQuery, or analytics pipelines.
Familiarity with frontend architecture, design systems, and shared component libraries.
Experience with platform engineering, reusable infrastructure, or shared services within modular monolith architectures.
Exposure to AI-powered development tools, AI-driven product capabilities, or automated code-generation workflows.
Benefits
Fully remote work: Work remotely from India, with flexibility regarding where and when you work.
Flexible working hours: Manage your schedule with an emphasis on sustainable productivity, personal energy, and delivery outcomes.
Health insurance: Access health insurance benefits to support your well-being.
Paid leave: Leave benefits designed to support work-life balance and personal needs.
Provident Fund: Access to applicable provident fund benefits.
Gratuity: Gratuity benefits in accordance with applicable employment terms and regulations.
Professional development: Access online learning platforms and a dedicated budget for training and career development.
Collaborative culture: Join a supportive, low-silo environment that encourages knowledge sharing, cross-functional collaboration, and continuous learning.
Social engagement: Participate in team lunches, social events, and activities that strengthen relationships across the team.
Technical ownership: Influence product architecture, engineering standards, and the development of a global SaaS platform.
AI and innovation exposure: Explore AI-assisted engineering practices and contribute to modern product development initiatives.
Career growth: Develop your technical leadership capabilities through mentorship, architectural decision-making, and ownership of high-impact engineering projects.