Staff Software Engineer - Full Stack

Accountabilities

• • Own the architecture, design, and technical direction of large-scale, distributed enterprise applications.
  • Design and develop scalable, secure, highly available backend services, primarily using Python, while contributing to Java-based services.
  • Drive architectural decisions, technical strategies, engineering standards, and long-term platform improvements across teams.
  • Build and evolve distributed systems using microservices, event-driven architectures, REST APIs, and modern software engineering practices.
  • Champion software craftsmanship through clean architecture, automated testing, application security, observability, and operational excellence.
  • Mentor engineers through technical guidance, architecture discussions, design reviews, and code reviews.
  • Leverage AI-assisted engineering tools and workflows to accelerate development, automate repetitive activities, and improve software quality and engineering productivity.
  • Drive improvements to developer experience, platform capabilities, automation, system reliability, and operational efficiency.
  • Design and operate cloud-scale applications with a strong focus on resilience, security, scalability, and availability.
  • Collaborate across engineering and other functions to translate business and customer needs into pragmatic technical solutions.

  Requirements

  • Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related discipline, with 8+ years of professional software engineering experience.
  • Strong expertise in Python backend development, with good working knowledge of Java.
  • Deep understanding of distributed systems, microservices, event-driven architectures, REST APIs, and modern software architecture principles.
  • Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
  • Practical experience with Docker, Kubernetes, Infrastructure as Code, CI/CD pipelines, Linux, observability, production troubleshooting, and application security.
  • Experience working with relational and NoSQL databases, messaging systems, caching technologies, and asynchronous processing.
  • Proven ability to design scalable, resilient, secure, and highly available enterprise-grade systems.
  • Experience using AI development tools such as GitHub Copilot, Claude, Cursor, ChatGPT, or similar technologies to improve engineering productivity while maintaining strong quality and security standards.
  • Experience with React, TypeScript, GraphQL, or enterprise SaaS platforms is a plus.
  • Exposure to AI/LLM-powered applications, developer productivity platforms, or open-source projects is desirable.
  • Strong architectural thinking and the ability to balance long-term technical strategy with pragmatic execution.
  • Demonstrated technical leadership, mentoring, ownership, and cross-functional collaboration skills.
  • Excellent communication skills and the ability to influence technical decisions through expertise and clear reasoning.
  • Curiosity, adaptability, and enthusiasm for emerging technologies and AI-enabled engineering practices.

  Benefits

  • Competitive salary.
  • Company equity, depending on role and level.
  • Medical insurance and healthcare coverage for employees and their families.
  • Fully paid life insurance premiums.
  • Flexible working hours and paid time off.
  • Mental wellness platform subscription.
  • Gym reimbursement.
  • Childcare reimbursement.
  • Group term life insurance.
  • Fully remote work environment in India.
  • Opportunity to work on large-scale, secure enterprise software and distributed cloud systems.
  • Strong focus on technical growth, engineering excellence, collaboration, and continuous learning.