Director of Engineering job opportunity at Weekday AI.

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Date2026-01-22T08:17:16.212Z bot
Weekday AI Director of Engineering
Experience: 15-years
Pattern: Full-time
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loacation Bengaluru, India
loacation Bengaluru....India

This role is for one of the Weekday's clients Min Experience: 15 years Location: Bangalore JobType: full-time We are seeking an accomplished Director of Engineering to lead the design, development, and evolution of highly scalable, resilient, and high-performance distributed systems. This role is critical in shaping the company’s technical vision, engineering culture, and execution excellence. You will work closely with senior leadership, product, and architecture teams to deliver complex distributed platforms that support business growth at scale. As a hands-on technical leader, you will be responsible for defining distributed architecture standards, guiding engineering teams through system-level challenges, and ensuring reliable delivery of large-scale systems. The ideal candidate combines deep technical expertise in distributed systems with strong people leadership and strategic thinking. Key Responsibilities Provide strategic and technical leadership across multiple engineering teams building distributed systems and platforms. Own the end-to-end architecture of distributed systems, ensuring scalability, fault tolerance, consistency, availability, and performance. Define and drive best practices for distributed architecture, microservices, event-driven systems, data replication, and system observability. Partner with Product Management to translate business requirements into robust, scalable technical solutions. Lead system design reviews, architecture discussions, and technical decision-making at an organizational level. Mentor and develop engineering managers and senior engineers, fostering a culture of ownership, innovation, and engineering excellence. Establish engineering processes, metrics, and governance to ensure predictable delivery, high quality, and operational excellence. Oversee reliability, performance optimization, incident management, and post-mortem practices for distributed platforms. Drive adoption of modern engineering practices including CI/CD, cloud-native architectures, infrastructure automation, and DevOps principles. Collaborate with cross-functional stakeholders to align technology roadmaps with long-term business strategy. Required Skills & Qualifications 15–19 years of overall software engineering experience, with significant leadership experience managing large engineering teams. Deep expertise in Distributed Systems concepts such as consensus, replication, sharding, CAP theorem, eventual consistency, and fault tolerance. Proven experience designing and scaling Distributed Architectures , including microservices, service meshes, messaging systems, and distributed data stores. Strong background in system design for high-traffic, high-availability platforms. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and cloud-native technologies. Strong understanding of performance engineering, reliability engineering, and system observability. Excellent leadership, communication, and stakeholder management skills. Ability to balance technical depth with strategic thinking and execution focus.

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