2 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Define and evolve long-term architecture and technical strategy for data platforms and distributed systems.
- Build an AI-native data platform for large-scale data ingestion and analysis.
- Design and deliver scalable, reliable, high-performance, and cost-efficient data infrastructure.
- Create and execute technical roadmaps aligned with business and organizational goals.
- Drive operational excellence through improved reliability, observability, scalability, and efficiency.
- Lead architecture reviews, system design, code quality, and engineering best practices.
- Partner with engineering, product, marketing, and executive stakeholders to align technical decisions with business outcomes.
- Mentor engineers and technical leaders and foster a strong, collaborative engineering culture.
- Lead technical problem-solving, experimentation, and rapid prototyping for mission-critical systems.
Requirements
- Proven experience architecting and scaling large-scale distributed systems and data platforms.
- 12+ years of software engineering experience with significant backend and data engineering experience.
- Deep expertise in software engineering fundamentals, system design, and performance optimization.
- Strong understanding of data structures, algorithms, distributed computing, and modern backend technologies.
- Experience building high-throughput, low-latency, and highly available systems.
- Strong ownership, analytical problem-solving, business acumen, and stakeholder management skills.
- Ability to mentor and influence engineering teams in fast-paced and ambiguous environments.
- Bachelor’s or master’s degree in Computer Science or a related field preferred.
- Experience with large-scale data ecosystems, cloud-native architectures, and modern data infrastructure technologies preferred.
Benefits
- Work locations are Gurgaon, Bengaluru, or Mumbai.
- JioStar is an equal opportunity employer committed to diversity and an inclusive, discrimination-free workplace.
Categories
BackendData Engineering
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