Staff Backend Engineer - Large Scale Distributed Systems

What will you be doing?

• Lead the design, architecture, and high-quality delivery of complex features, components, or products.
• Drive continuous innovation across the platform to stay ahead of emerging technologies.
• Work closely with cross-functional teams to build and deliver end-to-end product solutions.
• Collaborate seamlessly with non-technical stakeholders to align business strategy with technical execution.
• Manage multiple priorities effectively, adapting to dynamic requirements and timelines.
• Conduct functional, architectural, and code reviews across teams to ensure technical excellence.
• Mentor and guide engineers, fostering their technical growth and providing strong leadership.
• Maintain a holistic view of the product landscape, identifying broader system impacts and opportunities.
• Partner with managers to improve estimation, planning, and solution sizing.

What do we expect from you?

• BS/MS in Computer Science or equivalent from a top-tier institution.
• 7+ years of hands-on experience designing and developing highly scalable, distributed systems.
• Strong background in building and maintaining large-scale cloud-based platforms.
• Deep understanding of architectural patterns, microservices, cloud computing, big data systems, and NoSQL databases.
• Advanced Java programming expertise, including multi-threading and performance-oriented development.
• Strong command of data structures and algorithms.
• Proficiency with open-source frameworks, modern backend technologies, and big data ecosystems.
• Excellent communication, leadership, and stakeholder-management skills.
• Ability to articulate system-level insights and provide clear, informed responses on system behavior.
• Proven track record as a high-performing team player in fast-paced, high-growth environments.
• Self-driven, proactive, and comfortable working with minimal guidance in dynamic settings.
• Passion for tackling challenges in massively scalable and distributed systems.
• Strong adaptability to shifting priorities and evolving requirements.
• Ability to leverage GenAI tools for problem-solving and development.

Nice to have:

• Experience building data-driven or insights-powered products.
• Exposure to data science and machine learning techniques.
• Hands-on experience with large-scale data processing.
• Experience working with Google Cloud Platform.
• Familiarity with contributing to or navigating open-source ecosystems.
• Background in data security.

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